Search

Politically motivated boycotts aim to harm the sales of goods associated with foreign rivals, but can also harm the domestic economy if the goods are domestically produced. This paper examines the unintended effects of the 2012 Chinese boycott of Japanese cars on China's automobile supply chain. By comparing changes in employment between auto parts and non‐parts industries located at various distances from Japanese joint ventures (JV), I find that auto parts manufacturers near the Japanese JVs experienced a 10%–17% reduction in employment after the boycott. [ABSTRACT FROM AUTHOR]

The Car and Beam prototype is a teaching piece of equipment, inspired by Ball and Beam systems. It consists of a beam supported in its center by means of a rotating axis installed in two rolling bearings, allowing the beam to rotate through the actuation of a servo motor. A car is coupled to this beam, and its displacement is measured using a linear encoder. This paper focuses on two key aspects: firstly, it offers a mathematical model of the Car and Beam system, and secondly, it outlines the development of a state-feedback tracking controller through pole placement to this system. To validate the modeling and control approach, we present simulation and experimental results using three different reference profiles: step, square wave, and sine wave. Our findings demonstrate the effectiveness of the control strategy in tracking predefined trajectories, both in simulation and with the physical prototype. In conclusion, this study highlights the efficacy of the methodology employed for mathematical modeling and the controller's design in the context of this specific application. The results indicate promising potential for further exploration in this domain. [ABSTRACT FROM AUTHOR]

Purpose: This study proposes a methodology based on data source triangulation to measure the "strategic fit" for the automotive supply chain. Design/methodology/approach: At first, the authors measured the responsiveness of the Indian automobile supply chain, encompassing the top ten major automobile manufacturers, using both sentiment and conjoint analysis. Second, the authors used data envelopment analysis to identify the frontiers of their supply chain. The authors also measured the supply chain's efficiency, using the balance sheet. Further, the authors analyzed the "strategic fit" zone and discussed the results. Findings: The results indicate that both the proposed methods yield similar outcomes in terms of strategic fitment. Practical implications: The study outcomes facilitate measuring the strategic fit, thereby leveraging the resources available to align. The methodology proposed is both easy to use and practice. The methodology eases time and costs by eliminating hiring agencies to appraise the strategic fit. This valuable method to measure strategic fit can be considered feedback for strategic actions. This methodology could also be incorporated possibly as an operative measurement and control tool. Originality/value: Data triangulation meaningfully enhances the accuracy and reliability of the analyses of strategic fit. Data triangulation leads to actionable insights relevant to top managers and strategic positioning of top managers within a supply chain. [ABSTRACT FROM AUTHOR]

In today's market, sales promotional schemes have spun out to be essential for promoting outfits. Nonetheless, due to the sudden ascent in sales, the subsequent demand uncertainty calls for the high flexibility in supply chains. The present work examines the barriers to flexibility in the Indian automobile supply chains under such an environment from a sustainability viewpoint, an indispensable element of the present-day supply chains. In view of the literature and the descriptive survey led, 20 barriers have been identified. Through the analytical investigation directed, a numerical index value for the sustainable supply chain flexibility barriers is developed via graph-theoretical and matrix approach. Findings, along with the sensitivity analysis, conducted establish that the barriers at the supply chain's procurement function have the highest impact in inhibiting the sustainable supply chain flexibility, thus significantly affecting the firm performance during sales promotional schemes. The obtained barrier index can be utilised for assessing the performance of all the companies across the industry. The model proposed offers valuable discernments to practicing officials in focusing on the significant barriers. This study augments the existing literature by linking the supply chain flexibility, Sustainability, and Sales promotions and thus clubs the three independent research streams. [ABSTRACT FROM AUTHOR]

The battery management system (BMS), which is widely adopted in various eco‐friendly automobiles that use batteries for propulsion, increases energy efficiency and extends the usable life by monitoring and optimally managing batteries. Eco‐friendly automobile original equipment manufacturers demand improvements in state‐of‐charge (SOC) and state‐of‐health (SOH) accuracies. However, because standards for evaluating accuracy do not exist, evaluations are performed using methods suggested by BMS developers or researchers, which differ from each other. Thus, the reliability of the SOC and SOH accuracy results is low. To accurately evaluate the SOC/SOH, it is necessary to reflect various conditions such as the power of the battery during actual vehicle operation and the temperature inside and outside the battery at the time. Therefore, a method is proposed herein that individually or simultaneously evaluates the SOC and SOH estimation accuracies of the BMS while considering an eco‐friendly vehicle's actual driving environment, instead of simple charge and discharge test conditions and room temperature. The reference values for evaluating the accuracy of SOC/SOH estimation in a battery can be defined as follows: Full charge and full discharge are conducted before applying the evaluation pattern to calculate the precise available capacity of the battery. Subsequently, it is fully charged and discharged to its initial SOC. A load pattern reflecting the load conditions of the subsequent application is repeatedly applied. After concluding the evaluation pattern, the remaining capacity is discharged, thereby determining the reference value. The proposed method is applied to two types of BMSs to evaluate its accuracy in SOC/SOH estimation and the validity of the proposed method was verified. [ABSTRACT FROM AUTHOR]

Company is an organization that provides or produces products/services. Various types of companies and the complexity of the process make the company must be able to continue to grow and compete with competitors. To win the competition, companies must have a strategy to improve performance. TPM is part of the strategy implemented in the company. In Indonesia, not all companies apply TPM, automotive component painting companies apply and measure performance through PQCDSM as a whole. The result of TPM implementation is an increase in production performance which has an impact on reducing quality costs, increasing production, increasing the effectiveness of equipment use because the total of damaged equipment is less. TPM implementation through OEE production performance/engine efficiency increased by 68.7%. [ABSTRACT FROM AUTHOR]

This study investigates the differences in a driver's visual-manual behaviour when performing secondary tasks while driving under the full-touch mode (FTM) and the conventional mode (CM). To this end, 30 participants were recruited to perform secondary tasks while driving two vehicles equipped with different HMI system interaction modes. The results show that compared to the CM, in the FTM, fewer visual-manual resources are required to perform the calling task, but for the navigation task, this requirement is higher. Additionally, in both modes, the driver exhibited self-regulation visual-manual behaviour when performing secondary tasks as the driving speed increased. However, the effect of the driving speed on visual-manual behaviour was greater in the FTM than in the CM. The main limitation of this study is that the effect of the difference between the two experimental vehicles on the findings was not considered, however, this does not affect the generalisation of the findings. Practitioner summary: Potential applications of this study include improving drivers' knowledge about the effect of performing secondary tasks in different modes on driving safety, and this study also provides useful insights human-machine co-driving systems to develop user-friendly control strategies and for automotive companies to improve the full-touch interactive mode for automotive companies. [ABSTRACT FROM AUTHOR]

Copyright of Automobile Technology & Material is the property of Automobile Technology & Material Editorial Office 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.)

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office 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.)

Digitalization is changing the face of the automotive industry by restructuring the supply chain (SC). This study uses a systematic literature review method to analyse current and future research trends in digitalization in the automobile SC. The Scopus database is identified for carrying out this study. With the keywords search, twenty-one articles finalized for the study. This study identified the research done year-wise, the number of articles published in the journals, and the research methods used. This research provides current and future research trends. This research will benefit the automotive sector as it will help them learn about digitalization and its technology. This research offers the future of digital technology in automobile SC. [ABSTRACT FROM AUTHOR]

This paper expands upon the state of the art in nonlinear modeling of automotive air conditioning systems. Prior models considered only the effects of the refrigerant compressor and the condenser fan. There are two new aspects included here. First, we create a mathematical model for front-end underhood airflow, considering vehicle speed, condenser fan rotational speed, and active grille shutter position. In addition, we present a new model for the power consumption of the vehicle associated with aerodynamic drag caused by underhood flow, as well as a fan power model which accounts not only for changes in rotational speed but also changes in flow rate. The models developed in this paper are coded in MATLAB/Simulink and assessed for various vehicle driving conditions against a higher-fidelity vehicle energy management model, showing good agreement. By including the active grille shutters as a controllable actuator and the impact of underhood flow on vehicle drag and fan power consumption, control schemes can be developed to holistically target reduced energy consumption for the air conditioning system and, thus, improve the overall vehicle energy efficiency. [ABSTRACT FROM AUTHOR]

The automobile industry is the pillar industry of the national economy. The good operation of the automobile supply chain is conducive to the sustainable development of the economy and social economy. In recent years, the popular research of automotive supply chain disruption risk management has been widely of concern by both business and academic practitioners. It is observed that most of the literature has focused only on a particular journal or field; there is a distinct lack of comprehensive bibliometric review of two decades, of research on automotive supply chain disruption risk management. This paper delivers a comprehensive bibliometric analysis that provides a better understanding not previously fully evaluated by earlier studies in the field of automotive supply chain disruption risk management. We used the 866 journal article during the period between 2000 and 2022 from the WOS database as sample data. Highlights research topics and trends, key features, developments, and potential research areas for future research. The research problems we solved are as follows: (1) Over time, how does the research in the field of automotive supply chain disruption risk management progress? (2) Which research areas and trends are getting the most attention in the field of automotive supply chain disruption risk management? (i) to recognize the scholarly production; (ii) the most productive authors; (iii) the most productive organization; (iv) the most cited articles; and (v) the most productive countries. (3) What is the research direction of automotive supply chain disruption risk management in the future? Also discusses the shortcomings of literature and bibliometric analysis. These findings provide a potential road map for researchers who intend to engage in research in this field. [ABSTRACT FROM AUTHOR]

The contradiction between the dramatic increase in the aggregate number of automobiles and the short supply of parking spaces leads to parking difficulties. Sharing mode helps improve the efficiency of existing parking spaces, increase resource utilization, and alleviate the difficulty of parking. This paper focuses on the matching mechanism in the shared parking slots problem, which involves three agents: shared parking suppliers, shared parking demanders, and shared parking platform. We propose a prospect theory-based two-sided satisfied and stable matching model (PT-TSSM) with two objectives to maximize the satisfaction degree of both shared parking demanders and shared parking suppliers. Numerical experiments are illustrated to demonstrate the efficiency of the proposed model. Moreover, the PT-TSSM model is compared with the other two shared parking mechanisms. The proposed model considers the satisfaction degrees of both shared parking demanders and suppliers, while first book first serve (FBFS) cares only one side of the participants. And compared with deferred acceptance (DA), our model not only takes two-sided stable matching into account but also considers the satisfaction degree of all the demand and supply participants, which obtain a two-sided satisfied and stable matching scheme. [ABSTRACT FROM AUTHOR]