Search

This research paper presents an all-encompassing methodology for multi-criteria decision-making in the apparel sector, with the particular objective of aiding in the determination of the most appropriate location within the CLMV subregion. The research is conducted in three crucial stages. The process began with the administration of a survey to proprietors of garment businesses in both Thailand and the CLMV countries. This survey resulted in the compilation of an exhaustive list of site-selection criteria and sub-criteria. Based on the findings of subject matter-expert interviews, Cambodia (C), Vietnam (V), and Myanmar (M) were identified as feasible alternatives. Subsequently, the questionnaire criteria and sub-criteria were evaluated utilizing the Fuzzy Analytic Network Process (Fuzzy ANP), which involved the utilization of meticulously designed pair-wise comparison matrices and local priorities. Five specialists from the Thai entrepreneurial community affirmed the effectiveness of Fuzzy ANP and expressed interest in expanding manufacturing operations in the CLMV subregion. The optimal location for Thai apparel manufacturers was subsequently determined using the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS). The results indicated that Vietnam is the most favorable option. In order to improve the dependability of results, an amended mixture-design scenario analysis was implemented. This analysis assessed the sensitivity and dependability of the proposed model in different scenarios, ensuring its applicability in real-world situations. In contrast to traditional models, this study integrates managerial judgments and preferences into the decision-making procedure, thereby accounting for the complex interdependencies among numerous criteria. The suggested methodology functions as a beneficial instrument for decision-makers, both domestic and international, as it integrates effortlessly into the organizational structure of the CLMV region. By harmonizing objectives pertaining to data acquisition, manipulation, retention, and dissemination, this framework not only enables enhanced decision-making processes, but also optimizes system efficiency. [ABSTRACT FROM AUTHOR]

The construction of the Sichuan-Tibet railway is encountered with some problems such as complicated geological conditions, bad climate, active plate movement, and sensitive ecological environment. Therefore, scientific and reasonable site selection is an essential guarantee for the smooth construction of the Sichuan-Tibet railway. Through constructing weighted scoring function and intuitionistic fuzzy similarity model and researching the dynamic intuitionistic fuzzy multi-attribute decision-making method considering time factor, the location decision of client-supplied goods and materials support center for Sichuan-Tibet railway construction can be complete, and the research theories and methods of location problem worldwide can be analyzed. Given the route direction and engineering construction of the Ya'an-Linzhi section of the Sichuan-Tibet railway, this paper aims to set up seven client-supplied goods and materials support centers as alternative site selection schemes, which integrates six factors (transportation, geological conditions, climate environment, site selection characteristics, engineering construction, and communication conditions) and constructs 12 index systems for client-supplied goods and materials support center location selection. Combining with the index system, the intuitionistic fuzzy decision-making matrices for four periods are established. Besides, using a dynamic intuitionistic multi-attribute decision-making method, the weighted results of similarity decision-making matrices are compared, and the location schemes of client-supplied goods and materials support centers are sequenced. The results demonstrate that Linzhi is the best site selection scheme for the construction client-supplied goods and materials support center of Ya'an to Linzhi section of the Sichuan-Tibet Railway, providing reference significance for supporting the construction of the Sichuan-Tibet Railway Project. [ABSTRACT FROM AUTHOR]

The aim of this paper is to capture the changed location decision-making processes and location factors of the automotive industry, resulting from the current challenges brought by electro mobility. From the Taylorist assembly-line production system in the "Fordism" era to the just-in-time focused manufacturing of the Japanese carmakers during "post-Fordism" and at the turn of the millennium with global production and new technologies in the digital age, location analysis has changed massively over time. The same is to be expected for the fourth revolution in the industry. For this reason, the decision-making process of a major German car manufacturer is analysed in a field study conducted over a two-year period. Based on this, a decision process that takes the new framework conditions into account is modelled. The relevant location factors are then examined in a survey of the relevant departments in the BMW Group. Due to the changed production requirements in the course of the electrification, the uncertainty in the technological change and the unstable political trading conditions, the factors: network suitability, risk exposure, optimal sunk cost usage and sustainability play central roles. Before the latest economic crisis, the industry was focused on exploiting opportunities and expanding the production network. This tendency now seems to be transformed by a volatile technological future and by cost pressure. This means that 'sustainability' is increasingly important in automobile industry decision-making, but in specific ways. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Financial Politic & Economic Reviews / Finans Politik & Ekonomik Yorumlar is the property of Journal of Financial Politic & Economic Reviews / Finans Politik & Ekomomik Yorumlar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

There are nowadays over 1 million Portuguese who lack a primary care physician. By applying a discrete choice experiment to a large representative sample of Portuguese junior doctors (N = 503) in 2014, we provide an indication that this shortage may be addressed with a careful policy design that mixes pecuniary and non-pecuniary incentives for these junior physicians. According to our simulations, a policy that includes such incentives may increase uptake of general practitioners (GPs) in rural areas from 18% to 30%. Marginal wages estimated from our model are realistic and close to market prices: an extra hour of work would require an hourly wage of 16.5€; moving to an inland rural setting would involve an increase in monthly income of 1.150€ (almost doubling residents' current income); a shift to a GP career would imply an 849€ increase in monthly income. Additional opportunities to work outside the National Health Service overcome an income reduction of 433€. Our simulation predicts that an income increase of 350€ would lead to a 3 percentage point increase in choice probability, which implies an income elasticity of 3.37, a higher estimation compared to previous studies. [ABSTRACT FROM AUTHOR]

When planning a new development, location decisions have always been a major issue. This paper examines and compares two modelling methods used to inform a healthcare infrastructure location decision. Two Multiple Criteria Decision Analysis (MCDA) models were developed to support the optimisation of this decision-making process, within a National Health Service (NHS) organisation, in the UK. The proposed model structure is based on seven criteria (environment and safety, size, total cost, accessibility, design, risks and population profile) and 28 sub-criteria. First, Evidential Reasoning (ER) was used to solve the model, then, the processes and results were compared with the Analytical Hierarchy Process (AHP). It was established that using ER or AHP led to the same solutions. However, the scores between the alternatives were significantly different; which impacted the stakeholders’ decision-making. As the processes differ according to the model selected, ER or AHP, it is relevant to establish the practical and managerial implications for selecting one model or the other and providing evidence of which models best fit this specific environment. To achieve an optimum operational decision it is argued, in this study, that the most transparent and robust framework is achieved by merging ER process with the pair-wise comparison, an element of AHP. This paper makes a defined contribution by developing and examining the use of MCDA models, to rationalise new healthcare infrastructure location, with the proposed model to be used for future decision. Moreover, very few studies comparing different MCDA techniques were found, this study results enable practitioners to consider even further the modelling characteristics to ensure the development of a reliable framework, even if this means applying a hybrid approach. [ABSTRACT FROM AUTHOR]

Although anecdotal evidence suggests that co-location of logistics establishments can bring about several benefits for the co-located logistics firms. These benefits have not been widely researched. This article seeks to contribute to an understanding of the spatial concentration of logistics establishments by empirically analysing the synergies they achieve through co-location. A survey of managers of 507 logistics establishments in the south of the Netherlands tested for differences in behaviour and circumstances between co-located and non-co-located establishments. The results show that synergies arise through co-location of logistics establishments: co-located logistics establishments more often combine transport capacity, have better availability of truck drivers, are better accessible, have better availability of repair and maintenance facilities, and have better expansion opportunities than do non-co-located logistics establishments. This means that regional aspects can be important variables in the location decisions of logistics firms. [ABSTRACT FROM PUBLISHER]

This paper proposes a two-stage location decision-making framework to study the site selection of distributed wind power coupled hydrogen storage (DWPCHS) project for the first time. In the first stage, the restriction criteria system that includes geographical constraints and networking requirements is established. Then the geographic information system is applied to evaluate the suitability of the study area and initially determine the feasible locations. In the second stage, the evaluation criteria system involved four aspects of resource, economy, environment and society is established. And the multi-criteria decision making (MCDM) methods are used for further evaluation. At this stage, the evaluation information of qualitative indicators is described by triangular intuitionistic fuzzy numbers. Afterwards, the fuzzy entropy method is used to calculate the weight of evaluation criteria. Finally, the fuzzy TODIM (an acronym in Portuguese of interactive and MCDM) method is used to rank the feasible locations and screen out the sites with excellent comprehensive performance. To verify the practicability, an empirical study in Hezhang County is conducted. Moreover, the sensitivity analysis and the comparative analysis are carried out to verify the reliability and stability of the decision model. This study can provide support for the site selection of DWPCHS project. • A location model is proposed for distributed wind power coupled hydrogen storage. • Geographic Information System is used to exclude inappropriate areas. • The entropy method and the TODIM method are combined to rank the alternatives. • Triangular intuitionistic fuzzy number is applied to describe qualitative indexes. • An empirical study is carried out to verify the practicability of the model. [ABSTRACT FROM AUTHOR]

Battery swapping station (BSS) is a new mode of supplying power for electric vehicle (EV). As the pre-stage of BSS construction, location decision problem plays an important role in its whole life cycle, which directly affects the economic profits. However, most of the existing researches are about its operation and management problem. Therefore, this paper proposes a site selection framework for the BSS based on MCDM (Multi-criteria decision making) method. Firstly, three new criteria are considered and the criteria system is established on the basis of existing research. Then, considering the information inadequacies in the decision-making process, triangular fuzzy numbers are adopted to deal with uncertainties. Afterwards, in view of the strong dependence among criteria, the fuzzy DEMATEL (Decision Making Trail and Evaluation Laboratory) method is applied to determine the weights of criteria. And then, the FOWA (Fuzzy ordered Weighted Averaging) operator is adopted to aggregate the evaluation values on alternatives of experts and the fuzzy MULTIMOORA (Multi-Objective Optimization by Ratio Analysis plus the Full Multiplicative Form) approach is used to rank the alternatives. Finally, a case in Beijing, China with sensitivity analysis and comparison results also illustrate the effectiveness and robustness of the proposed approach. This paper provides a critical tool for investors to select the most appropriate alternative. [ABSTRACT FROM AUTHOR]