491,483 results on '"industrial and manufacturing engineering"'
Search Results
2. PRODUCT QUALITY MANAGEMENT IN INDUSTRY 4.0 BASED ON DIGITAL INSTITUTIONS
- Author
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Alexander A. Solovyov, Tatyana A. Dugina, Svetlana E. Karpushova, and Ekaterina A. Zemlyacheva
- Subjects
quality management ,total quality management (tqm) ,products of industry 4.0 ,digital competitiveness ,industrial and manufacturing engineering ,management information systems ,digital institutions ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
The article aims to determine the possibilities of product quality management in industry 4.0 based on digital institutions. Based on international experience for 2022, the authors applied the regression analysis method to compile an econometric model that proves that ensuring digital competitiveness requires state and public management of product quality in industry 4.0 with the help of digital institutions. It has also been proved that digital competitiveness in local and global markets is determined by different institutions. The theoretical significance of the authors’ conclusions is that they have formed a new institutional understanding of product quality in industry 4.0. The contribution of the article to the literature consists in the development of the scientific provisions of the TQM concept through the formation of a new, broad understanding of the quality of Industry 4.0 products in the unity of the completeness of the manufacturer’s technical capabilities and the perceived value and usefulness of this product, as well as through a reconsideration of the approach to measuring and managing the quality of products industry 4.0 in order to strengthen their digital competitiveness in accordance with the new understanding of quality. The practical significance of the article is related to the fact that the monitoring has revealed a favorable institutional environment for quality management of products in industry 4.0 in Russia. The institutional perspective of improving the product quality of industry 4.0 in Russia has also been opened up. The managerial significance is expressed in the fact that the developed institutional approach to product quality management in industry 4.0 will improve the efficiency of this management and ensure a more complete capacity utilization of medium- and high-tech industries, as well as an increase in the export of their products. The proposed approach can be applied in any country of the world, as it has been developed taking into account a broad analysis of international experience.
- Published
- 2023
- Full Text
- View/download PDF
3. PRODUCT QUALITY MANAGEMENT IN INDUSTRY 4.0 BASED ON DIGITAL INSTITUTIONS.
- Author
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Solovyov, Alexander A., Dugina, Tatyana A., Karpushova, Svetlana E., and Zemlyacheva, Ekaterina A.
- Subjects
INDUSTRY 4.0 ,PRODUCT quality ,DIGITAL technology ,ECONOMETRICS ,HIGH technology industries ,GLOBALIZATION - Abstract
The article aims to determine the possibilities of product quality management in industry 4.0 based on digital institutions. Based on international experience for 2022, the authors applied the regression analysis method to compile an econometric model that proves that ensuring digital competitiveness requires state and public management of product quality in industry 4.0 with the help of digital institutions. It has also been proved that digital competitiveness in local and global markets is determined by different institutions. The theoretical significance of the authors’ conclusions is that they have formed a new institutional understanding of product quality in industry 4.0. The contribution of the article to the literature consists in the development of the scientific provisions of the TQM concept through the formation of a new, broad understanding of the quality of Industry 4.0 products in the unity of the completeness of the manufacturer’s technical capabilities and the perceived value and usefulness of this product, as well as through a reconsideration of the approach to measuring and managing the quality of products industry 4.0 in order to strengthen their digital competitiveness in accordance with the new understanding of quality. The practical significance of the article is related to the fact that the monitoring has revealed a favorable institutional environment for quality management of products in industry 4.0 in Russia. The institutional perspective of improving the product quality of industry 4.0 in Russia has also been opened up. The managerial significance is expressed in the fact that the developed institutional approach to product quality management in industry 4.0 will improve the efficiency of this management and ensure a more complete capacity utilization of medium- and high-tech industries, as well as an increase in the export of their products. The proposed approach can be applied in any country of the world, as it has been developed taking into account a broad analysis of international experience. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
4. MANAGEMENT OF THE QUALITY OF WATER RESOURCES FOR SUSTAINABLE DEVELOPMENT BASED ON INDUSTRIAL AND MANUFACTURING ENGINEERING
- Author
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Andrey G. Paptsov and Karolina Yu. Popova
- Subjects
water ,quality management ,water source ,sanitation & hygiene ,clean water ,sustainable development ,irrigation ,industrial and manufacturing engineering ,Management. Industrial management ,HD28-70 - Abstract
The goal of this paper is to justify the prospects and develop recommendations for consistent management of the quality of water resources for sustainable development based on industrial and manufacturing engineering, while taking into account the specific features of developed and developing countries. The originality of the research is that water resources are considered in terms of quality, and a consistent scientific view of the quality of water resources is formed for the first time in the unity of all its signs. It is suggested to use the methodology of comprehensive quality measurement which is being tested using the example of developed and developing countries in 2020. The uniqueness of the paper consists in the development of a new, non-financial approach to managing the quality of water resources, one that would involve reliance on industrial and manufacturing engineering in the digital economy. The novel nature of the research consists in examining the experience of developed and developing countries in order to identify and take into account their specific features and to develop specific highly-refined application-specific recommendations to ensure high efficiency management of the quality of water resources. In order to improve the quality of water resources in developed countries, it is recommended that e-government is developed by 95.74 per cent, and the active use of Big Data and analytics is increased by 96 per cent. In developing countries, it is recommended that the degree of robots distribution is increased by 96.02 per cent.
- Published
- 2022
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5. COVID-19 TREATMENT IN THE RUSSIAN FEDERATION: STATE SUPPORT OF MEDICAL WORKERS TREATING COVID-19 IN THE RUSSIAN FEDERATION AND QUALITY MANAGEMENT WITH INDUSTRIAL AND MANUFACTURING ENGINEERING
- Author
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V. Starodubov, F. Kadyrov, and A. Chililov
- Subjects
quality ,quality management ,covid-19 ,health workers ,state (social) support for health workers ,guarantees ,benefits ,compensations ,incentive payments ,digital healthcare ,industrial and manufacturing engineering ,Management. Industrial management ,HD28-70 - Abstract
The current situation in the fight against the spread of the coronavirus COVID-19 has demonstrated that the most affected category of citizens (in terms of morbidity and mortality) around the world are healthcare workers. High workloads, the risk of infection and death from coronavirus against the background of sometimes insufficient protection, both physically and socially, leads to the fact that the risks of an increase in the outflow of medical workers from the industry and an increase in the personnel shortage. Most of the states agreed to provide medical workers with a wide range of benefits, guarantees and compensations. At the same time, measures to support medical workers are important not only in themselves, but also as a tool for managing personnel in the industry. This publication examines the experience of the Russian Federation in state support for persons associated with the treatment of coronavirus infection, including in comparison with the experience of some other countries. An assessment of the effectiveness and feasibility of using various measures to support medical workers is given and the conclusion is substantiated that in order to improve the staffing of health care to improve the quality of provided medical services, it is necessary, if possible, to "monetize" benefits and guarantees. Extensive opportunities for this are opened on the basis of industrial and manufacturing engineering of digital healthcare.
- Published
- 2022
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6. MARKETING MANAGEMENT OF QUALITY BASED ON INDUSTRIAL AND MANUFACTURING ENGINEERING OF PROJECT ACTIVITIES: SOCIAL ENTREPRENEURSHIP VS. TECHNOLOGICAL ENTREPRENEURSHIP
- Author
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Zhanna V. Gornostaeva and Yulia S. Chernysheva
- Subjects
quality ,marketing management ,quality management ,project activities ,entrepreneurship ,social entrepreneurship ,technological entrepreneurship ,industrial and manufacturing engineering ,Management. Industrial management ,HD28-70 - Abstract
The purpose of this paper is to substantiate the advantages and to develop applied recommendations for marketing management of quality based on industrial and manufacturing engineering of project activities, in view of the specifics in social and technological entrepreneurship. Originality and novelty of the research are due to its following competitive advantages as compared to the existing published works. Firstly, the essence of quality management based on industrial and manufacturing engineering of project activities in the unity of social and technical criteria of quality is specified. Secondly, the specifics of the COVID-19 are determined, and the recommendations and qualitative landmarks for quality management for the purpose of economic crisis management are offered. Thirdly, the advantages are substantiated, and perspectives of marketing quality management for its systemic increase in view of all modern criteria are determined. Fourthly, the corresponding recommendations for managing products' quality separately for social and technological entrepreneurship are offered. The contribution of this paper to development of the theory and practice of quality management consists in development of marketing tools of quality management, substantiation of differences between quality management in social and technological entrepreneurship, consideration of influence of the COVID-19 crisis on quality, and development of the framework foundations for preventing the reduction of quality.
- Published
- 2022
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7. High-Throughput Extraction of Phase–Property Relationships from Literature Using Natural Language Processing and Large Language Models
- Author
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Montanelli, Luca, Venugopal, Vineeth, Olivetti, Elsa A., Latypov, Marat I., Montanelli, Luca, Venugopal, Vineeth, Olivetti, Elsa A., and Latypov, Marat I.
- Abstract
Consolidating published research on aluminum alloys into insights about microstructure–property relationships can simplify and reduce the costs involved in alloy design. One critical design consideration for many heat-treatable alloys deriving superior properties from precipitation are phases as key microstructure constituents because they can have a decisive impact on the engineering properties of alloys. Here, we present a computational framework for high-throughput extraction of phases and their impact on properties from scientific papers. Our framework includes transformer-based and large language models to identify sentences with phase-property information in papers, recognize phase and property entities, and extract phase-property relationships and their “sentiment.” We demonstrate the application of our framework on aluminum alloys, for which we build a database of 7,675 phase–property relationships extracted from a corpus of almost 5000 full-text papers. We comment on the extracted relationships based on common metallurgical knowledge.
- Published
- 2024
8. Nanobiolubricant grinding: a comprehensive review
- Author
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Song, Yu-Xiang, Li, Chang-He, Zhou, Zong-Ming, Liu, Bo, Sharma, Shubham, Dambatta, Yusuf Suleiman, Zhang, Yan-Bin, Yang, Min, Gao, Teng, Liu, Ming-Zheng, Cui, Xin, Wang, Xiao-Ming, Xu, Wen-Hao, Li, Run-Ze, Wang, Da-Zhong, Song, Yu-Xiang, Li, Chang-He, Zhou, Zong-Ming, Liu, Bo, Sharma, Shubham, Dambatta, Yusuf Suleiman, Zhang, Yan-Bin, Yang, Min, Gao, Teng, Liu, Ming-Zheng, Cui, Xin, Wang, Xiao-Ming, Xu, Wen-Hao, Li, Run-Ze, and Wang, Da-Zhong
- Abstract
Minimum quantity lubrication (MQL), which considers the cost, sustainability, flexibility, and quality, has been actively explored by scholars. Nanoadditive phases have been widely investigated as atomizing media for MQL, aimed at enhancing the heat transfer and friction reduction performance of vegetable-oil-based biolubricants. However, the industrial application of nano-enhanced biolubricants (NEBL) in grinding wheels and workpiece interfaces as a cooling and lubricating medium still faces serious challenges, which are attributed to the knowledge gap in the current mapping between the properties and grindability of NEBL. This paper presents a comprehensive literature review of research developments in NEBL grinding, highlighting the key challenges, and clarifies the application of blind spots. Firstly, the physicochemical properties of the NEBL are elaborated from the perspective of the base fluid and nanoadditive phase. Secondly, the excellent grinding performance of the NEBL is clarified by its distinctive film formation, heat transfer, and multiple-field mobilization capacity. Nanoparticles with high thermal conductivity and excellent extreme-pressure film-forming properties significantly improved the high-temperature and extreme-friction conditions in the grinding zone. Furthermore, the sustainability of applying small amounts of NEBL to grinding is systematically evaluated, providing valuable insights for the industry. Finally, perspectives are proposed to address the engineering and scientific bottlenecks of NEBL. This review aims to contribute to the understanding of the effective mechanisms of NEBL and the development of green grinding technologies.
- Published
- 2024
9. Online Measurement for Parameter Discovery in Fused Filament Fabrication
- Author
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Read, Jake Robert, Seppala, Jonathan E., Tourlomousis, Filippos, Warren, James A., Bakker, Nicole, Gershenfeld, Neil, Read, Jake Robert, Seppala, Jonathan E., Tourlomousis, Filippos, Warren, James A., Bakker, Nicole, and Gershenfeld, Neil
- Abstract
To describe a new method for the automatic generation of process parameters for fused filament fabrication (FFF) across varying machines and materials. We use an instrumented extruder to fit a function that maps nozzle pressures across varying flow rates and temperatures for a given machine and material configuration. We then develop a method to extract real parameters for flow rate and temperature using relative pressures and temperature offsets. Our method allows us to successfully find process parameters, using one set of input parameters, across all of the machine and material configurations that we tested, even in materials that we had never printed before. Rather than using direct parameters in FFF printing, which is time-consuming to tune and modify, it is possible to deploy machine-generated data that captures the fundamental phenomenology of FFF to automatically select parameters.
- Published
- 2024
10. Oxygen Chemistry in Polymer Fouling: Insights from Multiphase Detailed Kinetic Modeling
- Author
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Hao-Wei Pang, Pang, Hao-Wei, Dong, Xiaorui, Green, William H., Hao-Wei Pang, Pang, Hao-Wei, Dong, Xiaorui, and Green, William H.
- Abstract
Polymer fouling is a pervasive challenge in downstream processes of steam cracking. Molecular oxygen is likely to present and known to strongly affect various polymerization processes, yet the role of oxygen in distillation column fouling remains poorly understood. Building upon the foundations laid in our preceding study [Pang et al., Ind. Eng. Chem. Res. 2023, 62, 36, 14266–14285], this work presents a detailed kinetic modeling approach to investigate the impact of oxygen on polymer fouling in a typical debutanizer. The fouling model incorporates molecular oxygen as a primary source of contamination in the feedstock and encompasses a comprehensive network of chemical reactions, phase equilibria, and interphase transport phenomena. Critical model parameters are derived from quantum chemistry calculations to ensure accuracy. The sensitivity of fouling rates to varying levels of dissolved oxygen is examined. We find that even small traces (ppb level) of molecular oxygen contaminant in the feedstock can significantly accelerate fouling growth in the colder section. Furthermore, the dominant pathways of fouling are observed to shift over time due to diffusion limitations. This study showcases the power and adaptability of predictive detailed kinetic modeling in deciphering the mechanistic fundamentals of polymer fouling.
- Published
- 2024
11. AI-based forecasting for optimised solar energy management and smart grid efficiency
- Author
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Bouquet, Pierre, Jackson, Ilya, Nick, Mostafa, Kaboli, Amin, Bouquet, Pierre, Jackson, Ilya, Nick, Mostafa, and Kaboli, Amin
- Abstract
This paper considers two pertinent research inquiries: ‘Can an AI-based predictive framework be utilised for the optimisation of solar energy management?’ and ‘What are the ways in which the AI-based predictive framework can be integrated within the Smart Grid infrastructure to improve grid reliability and efficiency?’ The study deploys a Deep Learning model based on Long Short-Term Memory techniques, leading to refined accuracy in solar electricity generation forecasts. Such an AI-supported methodology aids power grid operators in comprehensive planning, thereby ensuring a robust electricity supply. The effectiveness of this framework is tested using performance metrics such as MAE, RMSE, nMAE, nRMSE, and R2. A persistent model is utilised as a reference for comparison. Despite a slight decrease in predictive precision with the expansion of the forecast horizon, the proposed AI-based framework consistently surpasses the persistent model, particularly for horizons beyond two hours. Therefore, this research underscores the potential of AI-based prediction in fostering efficient solar energy management and enhancing Smart Grid reliability and efficiency.
- Published
- 2024
12. Optimization of the Voltage Total Harmonic Distortion in Multilevel Inverters by Using the Taguchi Method
- Author
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Enginyeria Electrònica, Elèctrica i Automàtica, Universitat Rovira i Virgili, Lopez AR; Sosa JM; Sámano C; De León-Aldaco SE; Aguayo-Alquicira J; López-Santos O, Enginyeria Electrònica, Elèctrica i Automàtica, Universitat Rovira i Virgili, and Lopez AR; Sosa JM; Sámano C; De León-Aldaco SE; Aguayo-Alquicira J; López-Santos O
- Abstract
A critical reduction in the total harmonic distortion in the output voltage of multilevel inverters can be obtained with an appropriate selection of the angles to switch the power semiconductors at low frequency. Among the methods used to obtain the required sequence of angles, it is possible to recognize both standard and optimized methods, like the Newton–Raphson method or the genetic algorithm, to mention a few. However, implementing the genetic algorithm implies using several configuration parameters, so it is difficult to know if the best option was chosen. This paper implements the Taguchi design of experiments, the Taguchi method, to obtain the appropriate switching angles for an multilevel inverter producing an output voltage of five and seven levels. Experimental results obtained from a laboratory prototype using the computed angles in the MATLAB GA solver demonstrate the superiority of the proposed method.
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- 2024
13. The impacts of the European chemical industry on the planetary boundaries
- Author
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Universitat Rovira i Virgili, Barnosell, I; Pozo, C, Universitat Rovira i Virgili, and Barnosell, I; Pozo, C
- Abstract
The European chemical industry plays a crucial role in the economy, manufacturing thousands of products that find applications across many sectors. On the other hand, the sector is also one of the largest energy consumers, and emits significant amounts of greenhouse gases, together with toxic, bioaccumulative and persistent chemicals. Acknowledging the need for a shift towards a greener industry model, this contribution assesses the absolute sustainability level of the chemical sector by contrasting the impacts it causes with the ecological capacity of the planet, as given by the planetary boundaries framework. Results indicate that impacts incurred by the European chemical industry transgress CO2-based thresholds significantly, with burdens on atmospheric CO2 concentration, energy imbalance, and ocean acidification being 15, 16 and 6 times larger than planetary limits. The biosphere integrity boundary, assessed here based on functional diversity, is also transgressed by 3 %. The five chemicals with the highest production volume, namely ammonia, polypropylene, high-density polyethylene, styrene, and benzene, are responsible for around 50 % of impacts in all the planetary boundaries. This suggests that they should be the target of dedicated research and policies. Finally, the study assesses a set of improvement pathways for the European chemical industry to become sustainable. It is found that the deployment of carbon capture and storage technologies to compensate for the greenhouse gases emitted by the sector would allow the chemical industry to meet all the planetary boundaries concurrently, yet burden-shifting would still cause other planetary boundaries to be deteriorated. This evidences the need to employ holistic approaches to assess the wide implications of any so
- Published
- 2024
14. INDUSTRIAL AND MANUFACTURING ENGINEERING AND ITS CONTRIBUTION TO QUALITY OF DIGITAL LEGAL PROCEEDINGS IN THE EAEU AND BRICS: FROM DIGITAL EVIDENCE TO INTERNET COURTS AND E-COURT
- Author
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Agnessa O. Inshakova and Ekaterina P. Rusakova
- Subjects
quality ,digital legal proceedings ,eaeu ,brics ,digital evidence ,internet courts ,e-court ,industrial and manufacturing engineering ,Management. Industrial management ,HD28-70 - Abstract
The purpose of this paper is to study the contribution of the factors of industrial and manufacturing engineering to quality of digital legal proceedings in the EAEU (Eurasian Economic Union) and BRICS and to develop recommendations for managing these factors for increasing the quality of services' provision in the form of digital evidence, Internet courts, and E-court. Originality of this research is ensured by the following competitive advantages as compared to the existing literature sources. Firstly, we specify the "wide" treatment of quality of digital legal proceedings' services and select the indicators, form statistical basis and offer a methodological approach to complex indicative evaluation of quality of digital legal proceedings' services. This provides a scientific basis for protecting business's interests in the court in the interaction with the state. This also forms a comprehensive scientific idea on creation of favorable conditions for doing business with the help of increasing the quality of digital legal proceedings' services. Secondly, we take into account the influence of the factors of industrial and manufacturing engineering on quality of digital legal proceedings' services. This allows developing detailed and precise applied recommendations for state management of quality of digital legal proceedings' services in the interests of their increase. Thirdly, we study the experience of countries of the EAEU and BRICS, which allows determining the differences in quality and influence of the factors of industrial and manufacturing engineering on digital legal proceedings' services among developing countries and the consequences for favorability of doing business.
- Published
- 2021
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15. ADAPTATION TO DIGITALIZATION AS THE BASIS OF STATE MANAGEMENT'S QUALITY: A NEW METHODOLOGY BASED ON INDUSTRIAL AND MANUFACTURING ENGINEERING AND THE PERSPECTIVES OF DRONES
- Author
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Vladimir F. Ukolov, Julia V. Ragulina, and Oleg V. Shabunevich
- Subjects
state management's quality ,adaptation to digitalization ,new trends of states' survival ,industrial and manufacturing engineering ,drones ,Management. Industrial management ,HD28-70 - Abstract
The goal of this paper is to study the possibilities of states' adapting to the global trends of the digital transformation of the main spheres of life for survival and development in the conditions of the forming multipolar world as the basis of state management's quality and to develop a new methodology of increasing the state management's quality based on industrial and manufacturing engineering and the perspectives of drones. The authors offer a new treatment of state management's quality in a modern multipolar world, which equals state management's quality to economic system's adaptation to digitalization, the reflection of which is global competitiveness. The offered treatment specifies the economic essence of state management's quality, which is considered - for the first time - from the positions of external criteria - primarily, global digital competitiveness. For the methodological support for new treatment of state management's quality, the authors offer a perspective methodology of increase of this quality. This methodology is based on development of industrial and manufacturing engineering and reflects new perspectives of dissemination of drones. The offered scientific and methodological provision of the increase of state management's quality with the help of adaptation to digitalization is universal and very effective and allows diversifying the measures of increase of state management's quality.
- Published
- 2021
- Full Text
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16. STRATEGY OF QUALITY MANAGEMENT IN INDUSTRY 4.0 AND FORMATION OF COGNITIVE ECONOMY BASED ON INDUSTRIAL AND MANUFACTURING ENGINEERING IN THE RUSSIAN FEDERATION AND COUNTRIES OF THE EU
- Author
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Denis E. Matytsin and Ekaterina Rusakova
- Subjects
quality ,strategy ,industry 4.0 ,cognitive economy ,russian federation ,european union ,industrial and manufacturing engineering ,Management. Industrial management ,HD28-70 - Abstract
The purpose of this paper is to develop a program-target strategy of quality management in Industry 4.0 and formation of cognitive economy based on industrial and manufacturing engineering in the Russian Federation and countries of the EU. Originality of this research consists in the following. Firstly, the authors specify the essence, distinguish and determine the elements of quality in Industry 4.0, offer estimate indicators and use them to perform a polycriterial evaluation of quality in Industry 4.0, and determine and substantiate the sources of its increase in the Russian Federation and countries of the EU. Secondly, the authors study and prove the strong influence of the factors of industrial and manufacturing engineering on successes in formation of cognitive economy in the Russian Federation and countries of the EU and determine the perspectives of optimizing the influence of these factors of in the interests of formation of cognitive economy. Thirdly, the specifics of causal connections of quality management in Industry 4.0 in countries of Western and Eastern Europe are determined, due to which this research has high empirical value, for its allows developing the specific programs of development of Industry 4.0 in countries of Europe in view of their specific features. Fourthly, the issues of quality management in Industry 4.0 and formation of cognitive economy based on industrial and manufacturing engineering are studied consistently, due to which a general program-target strategy for the Russian Federation and countries of the EU is developed.
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- 2021
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17. THE MARKETING APPROACH TO MANAGING THE QUALITY OF COMPANY'S PRODUCTS BASED ON INDUSTRIAL AND MANUFACTURING ENGINEERING IN THE CONDITIONS OF TRANSNATIONAL CAPITAL TRANSFORMATION
- Author
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Anastasiya A. Sozinova and Elena A. Lysova
- Subjects
quality ,marketing ,quality management ,transformation of transnational capital ,digitalization ,industrial and manufacturing engineering ,Management. Industrial management ,HD28-70 - Abstract
The purpose of this paper is to develop the marketing approach to managing the quality of a company's products based on industrial and manufacturing engineering in the conditions of transnational capital transformation, which takes into account the specifics of developed and developing countries. Originality and novelty of this research consist in its studying the new approach to management of a company's products' quality based on industrial and manufacturing engineering and the process of its formation in the conditions of transnational capital transformation at the theoretical level of economics and determining the perspectives and offering the recommendations for stimulation of the successful transition and practical application of the new approach with the help of marketing. The developed marketing approach to management of a company's products' quality based on industrial and manufacturing engineering will allow developing and transition economies to successfully adapt to the conditions of transnational capital transformation and to obtain advantages from these conditions due to attraction of foreign direct investment, the fullest (by means of quality) satisfaction of domestic demand, acceleration of innovative development of entrepreneurship and transnational corporations, and obtaining of sustainable strategic competitive advantages by means of digitalization based on industrial and manufacturing engineering.
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- 2021
- Full Text
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18. QUALITY MANAGEMENT OF ENVIRONMENTAL PROTECTION IN THE ACTIVITY OF SUPREME AUDIT INSTITUTIONS IN VARIOUS STATES AND THE PROSPECTS FOR IMPROVING THE QUALITY BASED ON INDUSTRIAL AND MANUFACTURING ENGINEERING
- Author
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Nina P. Efimova, Aleksandr A. Vasilev, and Anatoly B. Yaroshchuk
- Subjects
quality ,quality management ,financial control ,state audit ,supreme audit institutions ,environmental protection ,industrial and manufacturing engineering ,Management. Industrial management ,HD28-70 - Abstract
The paper is aimed at identifying the prospects for improving the quality based on industrial and manufacturing engineering, as well as developing recommendations to improve the quality management of environmental protection in the activity of supreme audit institutions in various states based on industrial and manufacturing engineering. The originality of the research is attributable to the focus on the quality and prospects for improving it in environmental protection in the activity of supreme audit institutions in various states. The paper not only justifies the need for improving the quality, but also identifies accurate quantitative benchmarks (reference values of quality indicators and their factors), gives applied recommendations to improve the quality of environmental protection in the activity of supreme audit institutions in various states based on industrial and manufacturing engineering. The authors' recommendations are oriented toward a realistic (feasible) scenario and involve ensuring the beneficial effect of industrial and manufacturing engineering by increasing the degree of beneficial effect of industrial and manufacturing engineering factor to 100 points (+31.19 %). This will cause an increase in the strength of auditing and accounting standards to 15.95% and an increase in the degree of renewable energy regulation to 11.19%. As a result, this allows decreasing the level of environmental pollution by 42.08% and increasing the Climate Index to 5.39%.
- Published
- 2021
- Full Text
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19. DIAGNOSTICS OF ECONOMIC SECURITY RISKS AS A MANIFESTATION OF MANAGEMENT QUALITY IN THE GLOBAL FINANCIAL MARKETS: FACTORS, THREATS, CRITERIA AND INDICATORS OF INDUSTRIAL AND MANUFACTURING ENGINEERING
- Author
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Elena V. Karanina, Marina A. Selivanova, and Irina A. Skudnova
- Subjects
quality ,risks ,economic security ,state management ,global financial markets ,industrial and manufacturing engineering ,Management. Industrial management ,HD28-70 - Abstract
The purpose of this paper is to develop a new scientific and methodological approach to scientific research and practical implementation of state management practices in global financial markets, which would take into account the specifics and would realize the potential of the digital economy due to using the factors, threats, criteria, and indicators of industrial and manufacturing engineering. Originality of the research consists in the following: firstly, it envisages evaluation of the results of state management in global financial markets from the positions of quality, due to which high precision of evaluation of achieved, and it becomes applicable for thorough scientific research of causal connections of management in global financial markets. Secondly, a treatment of quality of state management in global financial markets through the prism of economic security risks is offered. Thirdly, the specifics of the digital economy are given: the essence of security of global financial markets in the conditions of the digital economy in the aspect of domination of new - cybernetic - risks are given, and the indicators of development and tools of state management in global financial markets are considered. The factors, threats, criteria, and indicators of industrial and manufacturing engineering are used for studying them.
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- 2021
- Full Text
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20. MANAGEMENT OF THE QUALITY OF WATER RESOURCES FOR SUSTAINABLE DEVELOPMENT BASED ON INDUSTRIAL AND MANUFACTURING ENGINEERING.
- Author
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Paptsov, Andrey G. and Popova, Karolina Yu.
- Subjects
WATER quality management ,WATER resources development ,PRODUCTION engineering ,INDUSTRIAL engineering ,INDUSTRIAL engineers ,REMANUFACTURING ,SUSTAINABLE development - Abstract
The goal of this paper is to justify the prospects and develop recommendations for consistent management of the quality of water resources for sustainable development based on industrial and manufacturing engineering, while taking into account the specific features of developed and developing countries. The originality of the research is that water resources are considered in terms of quality, and a consistent scientific view of the quality of water resources is formed for the first time in the unity of all its signs. It is suggested to use the methodology of comprehensive quality measurement which is being tested using the example of developed and developing countries in 2020. The uniqueness of the paper consists in the development of a new, non-financial approach to managing the quality of water resources, one that would involve reliance on industrial and manufacturing engineering in the digital economy. The novel nature of the research consists in examining the experience of developed and developing countries in order to identify and take into account their specific features and to develop specific highly-refined application-specific recommendations to ensure high efficiency management of the quality of water resources. In order to improve the quality of water resources in developed countries, it is recommended that e-government is developed by 95.74 per cent, and the active use of Big Data and analytics is increased by 96 per cent. In developing countries, it is recommended that the degree of robots distribution is increased by 96.02 per cent. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
21. INDUSTRIAL AND MANUFACTURING ENGINEERING IN DIGITAL LEGAL PROCEEDINGS IN THE ASIA-PACIFIC REGION: A NEW LEVEL OF QUALITY BASED ON DATA, BLOCKCHAIN AND AI
- Author
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Ekaterina P. Rusakova and Agnessa O. Inshakova
- Subjects
industrial and manufacturing engineering ,digital legal proceedings ,asia-pacific region ,big data ,blockchain ,ai ,quality ,quality management ,Management. Industrial management ,HD28-70 - Abstract
The purpose of this paper is to determine the influence of the factors of industrial and manufacturing engineering on quality of services that are provided in digital legal proceedings of the Asia-Pacific region, based on? Big Data, blockchain, and AI. The authors model the influence of the factors of industrial and manufacturing engineering on quality of legal proceedings in countries of the Asia-Pacific region with the help of correlation analysis. Simplex method is used for determining the optimal influence of the factors of industrial and manufacturing engineering on quality of legal proceedings in countries of the Asia-Pacific region. It is determined that the potential of increase of quality of services of digital legal proceedings based on managing the factors of industrial and manufacturing engineering is more vivid in developing countries (33.55%) than in developed countries (9.36%). The authors reflect a new view on the prospects of development of legal proceedings - from the position of consumers' interests' protection, emphasizing on quality of the provided public services. Due to this, a new, alternative approach to state management of development of the legal proceedings system is developed; instead of increase of regulation, it envisages de-regulation and marketization of legal proceedings. An original approach to managing the quality of services of digital legal proceedings is offered, which is based on managing the factors of industrial and manufacturing engineering.
- Published
- 2021
- Full Text
- View/download PDF
22. INDUSTRIAL AND MANUFACTURING ENGINEERING IN FIGHT AGAINST THE VIRUS THREAT: PERSPECTIVES OF INCREASING QUALITY BASED ON DIGITALIZATION AND INDUSTRY 4.0
- Author
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Elena G. Popkova and Aidarbek Giyazov
- Subjects
industrial and manufacturing engineering ,fight against the virus threat ,healthcare ,quality ,quality management ,digitalization ,industry 4.0 ,Management. Industrial management ,HD28-70 - Abstract
This paper is devoted to finding the importance of the factors of industrial and manufacturing engineering for fighting a virus threat and to substantiating the perspectives of increasing quality in the healthcare sphere of based on digitalization and Industry 4.0. The authors perform quantitative analysis of the influence of the factors of industrial and manufacturing engineering on quality of fight against the virus threat in comparison with the traditional factors. A qualitative treatment of the advantages of digitalization and Industry 4.0 with the help of industrial and manufacturing engineering for increasing the quality in fight against the virus threat is provided. The perspectives are modeled and recommendations are developed for increasing the quality of fight against the virus threat based on digitalization and Industry 4.0, with the help of industrial and manufacturing engineering. Originality and advantages of the research consist in the fact that successfulness of fight against the virus threat is treated not from the positions of resources (expenditures) but from the positions of results - quality. Due to this, the research contributes to formation of a concept of healthcare, which is oriented at the result and which guarantees high quality of medical services. Importance of the research is predetermined by determining the role of the technological factors (industrial and manufacturing engineering) in provision of quality of fighting the virus threat. Significance of the performed research for development of scientific knowledge consists in provision of substantiation and practical recommendations for applying a new - digital - approach to fight against the virus threat.
- Published
- 2021
- Full Text
- View/download PDF
23. Distributed fault-passage indicators versus central fault location: Comparison for reliability centred planning of resonant-earthed distribution systems
- Author
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Md Zakaria Habib, Sanja Duvnjak Zarković, Nathaniel Taylor, Patrik Hilber, and Ebrahim Shayesteh
- Subjects
History ,General Energy ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
24. The shale revolution, geopolitical risk, and oil price volatility
- Author
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Fuyu Yang and Wenxue Wang
- Subjects
Heteroscedasticity ,History ,Polymers and Plastics ,Structural break ,Supply side ,Geopolitics ,Industrial and Manufacturing Engineering ,General Energy ,Autoregressive model ,Econometrics ,Economics ,Volatility (finance) ,Oil price ,Business and International Management ,Oil shale - Abstract
The U.S. shale revolution, using new technologies to extract crude oil, has led to new dynamics in the supply side of the global oil market. We ask whether the shale revolution has dampened the role of geopolitical risk in oil price volatility. We extend a reduced form Structural Break Threshold Vector Autoregressive (SBT-VAR) model to a structural SBT-VAR model and identify the structural innovations by allowing for conditional heteroskedasticity. Compared with the conventional reduced form VAR and TVAR models, a SBT-VAR with a constant threshold and a break in April 2014 are supported by the data. We then analyse the conditional (co)variance impulse response with respect to two distinct shock scenarios, one with only a geopolitical risk shock, the other with a simultaneous shale production shock and a geopolitical risk shock. The volatility responses are due to the identified contemporaneous relationships amongst geopolitical risk, shale production and oil prices, and are conditional on volatilities at the points in time. With the extra unit shale production shock, we find that the volatility response of oil prices to a geopolitical risk shock is higher, but the response is less correlated with the geopolitical risk factor.
- Published
- 2023
- Full Text
- View/download PDF
25. Discrete fracture model with unsteady-state adsorption and water–gas flow for shale-gas reservoirs
- Author
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Bin Chang, Cheng Cao, Yunde Zhang, and Baofeng Lan
- Subjects
History ,General Energy ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
26. Energy performance assessment of Sea Water Air Conditioning (SWAC) as a solution toward net zero carbon emissions: A case study in French Polynesia
- Author
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Kanhan Sanjivy, Olivier Marc, Neil Davies, and Franck Lucas
- Subjects
History ,General Energy ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
27. Export globalization and pollution localization: Multivariate heterogeneous data based on Chinese enterprises
- Author
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Mengjie Li, Weijian Du, and Zhaohua Wang
- Subjects
History ,General Energy ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
28. The analysis of time-varying high-order moment of wind power time series
- Author
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zhaoxing ma, chen hao, Ting Jin, FengLei Tan, JinRui Gao, and Jin Cao
- Subjects
History ,General Energy ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
29. Short-term wind power forecasting and uncertainty analysis based on FCM–WOA–ELM–GMM
- Author
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Bo Gu, Hao Hu, Jian Zhao, Hongtao Zhang, and Xinyu Liu
- Subjects
History ,General Energy ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
30. Investigation of anode flow field structure on the performance of direct methanol fuel cells using a two-phase flow model
- Author
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Hongxiu Zhou, Yujing Wu, and Leqing Zhao
- Subjects
History ,General Energy ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
31. Limiting Flexibility in Nonparametric Efficiency Evaluations
- Author
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Mohsen Afsharian and Peter Bogetoft
- Subjects
Incentive regulation ,Information Systems and Management ,Electricity distribution ,General Computer Science ,Modeling and Simulation ,Data envelopment analysis ,K-centroid clustering ,Input‒output mix patterns ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Abstract
An attractive feature of standard data envelopment analysis (DEA) is that decision-making units (DMUs) are put in their best possible light. This is accomplished by not imposing any restrictions on how the inputs and outputs can be weighted together. Unfortunately, this flexibility also has drawbacks. The underlying best practice production structure is typically very complex, which can make it difficult to understand efficiency evaluations. This flexibility may also motivate DMUs to pick specialized input‒output combinations simply to appear more efficient, particularly in applications where they are rewarded based on their DEA performance. In this paper, we therefore propose an approach that retains the fundamental principles of DEA while reducing flexibility in the evaluations. Our approach entails performing ex post k-centroid clustering of DMUs according to their input‒output mix patterns. The resulting mixed-integer programming problem seeks to put the centroids (as prototypes of their generated clusters) in their best possible light. This clustering enables us to work with a less complex underlying technology, which simplifies the evaluations and enhances their interpretability. Furthermore, it limits the possibility of DMUs inflating their performance by selecting extreme input‒output combinations. We demonstrate our approach with a simple numerical example and a complex data set involving Brazilian electricity distribution companies, providing clear and realistic illustrations of its application., An attractive feature of standard data envelopment analysis (DEA) is that decision-making units (DMUs) are put in their best possible light. This is accomplished by not imposing any restrictions on how the inputs and outputs can be weighted together. Unfortunately, this flexibility also has drawbacks. The underlying best practice production structure is typically very complex, which can make it difficult to understand efficiency evaluations. This flexibility may also motivate DMUs to pick specialized input‒output combinations simply to appear more efficient, particularly in applications where they are rewarded based on their DEA performance. In this paper, we therefore propose an approach that retains the fundamental principles of DEA while reducing flexibility in the evaluations. Our approach entails performing ex post k-centroid clustering of DMUs according to their input‒output mix patterns. The resulting mixed-integer programming problem seeks to put the centroids (as prototypes of their generated clusters) in their best possible light. This clustering enables us to work with a less complex underlying technology, which simplifies the evaluations and enhances their interpretability. Furthermore, it limits the possibility of DMUs inflating their performance by selecting extreme input‒output combinations. We demonstrate our approach with a simple numerical example and a complex data set involving Brazilian electricity distribution companies, providing clear and realistic illustrations of its application.An attractive feature of standard data envelopment analysis (DEA) is that decision-making units (DMUs) are put in their best possible light. This is accomplished by not imposing any restrictions on how the inputs and outputs can be weighted together. Unfortunately, this flexibility also has drawbacks. The underlying best practice production structure is typically very complex, which can make it difficult to understand efficiency evaluations. This flexibility may also motivate DMUs to pick specialized input‒output combinations simply to appear more efficient, particularly in applications where they are rewarded based on their DEA performance. In this paper, we therefore propose an approach that retains the fundamental principles of DEA while reducing flexibility in the evaluations. Our approach entails performing ex post k-centroid clustering of DMUs according to their input‒output mix patterns. The resulting mixed-integer programming problem seeks to put the centroids (as prototypes of their generated clusters) in their best possible light. This clustering enables us to work with a less complex underlying technology, which simplifies the evaluations and enhances their interpretability. Furthermore, it limits the possibility of DMUs inflating their performance by selecting extreme input‒output combinations. We demonstrate our approach with a simple numerical example and a complex data set involving Brazilian electricity distribution companies, providing clear and realistic illustrations of its application.
- Published
- 2023
- Full Text
- View/download PDF
32. Are residents more willing to buy and pay for electric vehicles under the 'carbon neutrality'?
- Author
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Zikai Zhang, Ni Sheng, Daiqing Zhao, Kaihan Cai, Guiming Yang, and Qingbin Song
- Subjects
History ,General Energy ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
33. Sealing failure mechanism and control method for cement sheath in HPHT gas wells
- Author
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Wei Lian, Jun Li, Derong Xu, Zongyu Lu, Kai Ren, Xuegang Wang, and Sen Chen
- Subjects
History ,General Energy ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
34. Techno-economic assessment of wind farm for sustainable power generation in Northern coastal region of Arabian sea
- Author
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Muhammad Zaid Masood Khan, Hafiz M. Abdur Rehman, Abdul Kashif Janjua, Adeel Waqas, Sehar Shakir, and Majid Ali
- Subjects
History ,General Energy ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
35. Design of fork-join networks of First-In-First-Out and infinite-server queues applied to clinical chemistry laboratories
- Author
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Eline R. Tsai, Derya Demirtas, Andrei N. Tintu, Robert de Jonge, Yolanda B. de Rijke, Richard J. Boucherie, Mathematics of Operations Research, Industrial Engineering & Business Information Systems, TechMed Centre, Digital Society Institute, Clinical Chemistry, Laboratory Medicine, AII - Infectious diseases, and Amsterdam Gastroenterology Endocrinology Metabolism
- Subjects
Optimal design ,Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Laboratory design ,UT-Hybrid-D ,Queueing ,Management Science and Operations Research ,Queueing network analyzer ,Industrial and Manufacturing Engineering ,Simulated annealing - Abstract
This paper considers optimal design of queueing networks in which each node consists of a single-server FIFO queue and an infinite-server queue, which is referred to as incubation queue. Upon service completion at a FIFO queue, a job splits (forks) into two parts: the first part is routed to the next node on its route, and the second part is placed in the incubation queue. Routing of the jobs of multiple types is governed by a central decision maker that decides on the routes for each job type and aims to minimize the mean turnaround time of the jobs, i.e., the time spent in the system until service completion at the FIFO queue in the last node, and at all incubation queues on the job's route, which may be viewed as a join operation. We provide explicit results for the turnaround time when all service and inter-arrival time distributions are exponential and invoke the Queueing Network Analyzer when these distributions are general. We then develop a Simulated Annealing approach to find the optimal routing configuration. We apply our approach to determine the optimal routing configuration in a chemistry analyzer line.
- Published
- 2023
- Full Text
- View/download PDF
36. The interplay between logistics strategy and platform’s channel structure design in B2C platform market
- Author
-
He Liu, Tianting Xu, Shuai Jing, Zhidong Liu, and Shouyang Wang
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
37. An optimization approach for hybrid workflows in platform-enabled private service marketplaces
- Author
-
Su Dong, Monica S. Johar, and Ram L. Kumar
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
38. Day-ahead aircraft routing with data-driven primary delay predictions
- Author
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Sebastian Birolini and Alexandre Jacquillat
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
39. Generalized quantile and expectile properties for shape constrained nonparametric estimation
- Author
-
Sheng Dai, Timo Kuosmanen, and Xun Zhou
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
40. Efficient feasibility checks and an adaptive large neighborhood search algorithm for the time-dependent green vehicle routing problem with time windows
- Author
-
Yiming Liu, Baldacci Roberto, Jianwen Zhou, Yang Yu, Yu Zhang, and Wei Sun
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
41. Extended formulations for perfect domination problems and their algorithmic implications
- Author
-
Vinicius L. do Forte, Saïd Hanafi, and Abilio Lucena
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
42. Complexity, algorithmic, and computational aspects of a dial-a-ride type problem
- Author
-
Mourad Baïou, Rafael Colares, Hervé Kerivin, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Department of Mathematical Sciences [Clemson], Clemson University, and COLARES, RAFAEL
- Subjects
[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC] ,Combinatorial optimization ,computational complexity ,Information Systems and Management ,[INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO] ,General Computer Science ,polyhedral study ,[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] ,Management Science and Operations Research ,Industrial and Manufacturing Engineering ,[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO] ,Computer Science::Robotics ,Modeling and Simulation ,[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO] ,[INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC] ,autonomous vehicles ,dial-a-ride - Abstract
In dial-a-ride systems involving autonomous vehicles circulating along a circuit, a fleet of vehicles must serve clients who request rides between stations of the circuit such that the total number of pickup and drop-off operations is minimized. In this paper, we focus on a unitary variant where each client requests a single place in the vehicles and all the clients must be served within a single tour of the circuit. Such unitary variant induces a combinatorial optimization problem for which we introduce a nontrivial special case that is polynomially solvable when the capacity of each vehicle is at most 2 but it is NP-Hard otherwise. We also study the polytope associated with the solutions to this problem. We introduce new families of valid inequalities and give necessary and sufficient conditions under which they are facet-defining. Based on these inequalities, we devise an efficient branch-and-cut algorithm that outperforms the state-of-the-art commercial solvers.
- Published
- 2023
- Full Text
- View/download PDF
43. Optimal scenario reduction for one- and two-stage robust optimization with discrete uncertainty in the objective
- Author
-
Marc Goerigk and Mohammad Khosravi
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
44. Joint models of multivariate longitudinal outcomes and discrete survival data with INLA: An application to credit repayment behaviour
- Author
-
Victor Medina-Olivares, Finn Lindgren, Raffaella Calabrese, and Jonathan Crook
- Subjects
Bayesian joint models ,Information Systems and Management ,General Computer Science ,Modeling and Simulation ,credit prepayment ,discrete time ,Management Science and Operations Research ,Laplace approximation ,Industrial and Manufacturing Engineering ,OR in banking - Abstract
Survival models with time-varying covariates (TVCs) are widely used in the literature on credit risk prediction. However, when these covariates are endogenous, the inclusion procedure has been limited to practices such as lagging these variables or treating them as exogenous. That leads to possible biased estimators (depending on the strength of the exogeneity assumption) and a lack of prediction framework that consolidates the joint evolution of the survival process and the endogenous TVCs. The use of joint models is a suitable approach for handling endogeneity, however, it comes at a high computational cost. We propose a joint model for bivariate endogenous TVCs and discrete survival data using integrated nested Laplace approximation (INLA). We illustrate the implementation via simulations and build a model for full-prepayment consumer loans. We also propose a methodology for individual survival prediction using the Laplace method that leads to more accurate approximations than comparable approaches. We evidence the superiority of joint models over the traditional survival approach for an out-of-sample and out-of-time analysis.
- Published
- 2023
- Full Text
- View/download PDF
45. Two-period pricing and inventory decisions of perishable products with partial lost sales
- Author
-
Haijie Zhou, Kebing Chen, and Shengbin Wang
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
46. A generalised approach for efficient computation of look ahead security constrained optimal power flow
- Author
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Lamia Varawala, György Dán, Mohammad Reza Hesamzadeh, and Ross Baldick
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
47. Mixed-integer nonlinear and continuous optimization formulations for aircraft conflict avoidance via heading and speed deviations
- Author
-
Sonia Cafieri, Andrew R. Conn, and Marcel Mongeau
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
48. Efficient approximation algorithms for scheduling moldable tasks
- Author
-
Xiaohu Wu and Patrick Loiseau
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
49. To outsource or not: Bike-share rebalancing strategies under the service quality deviation of a third party
- Author
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Wei Gu, Xiaoru Yu, Shichen Zhang, Xiangbin Yan, and Chen Wang
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
50. An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem
- Author
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Xuan He, Quan-Ke Pan, Liang Gao, and Janis S. Neufeld
- Subjects
Information Systems and Management ,General Computer Science ,Modeling and Simulation ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2023
- Full Text
- View/download PDF
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