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نتیجه جستجو - Automotive supply chain

تعداد مقالات یافته شده: 5
ردیف عنوان نوع
1 Conventional automotive supply chains under Chinas dual-credit policy: fuel economy, production and coordination
زنجیره تأمین خودرو متعارف تحت سیاست اعتبار دوگانه چین: اقتصاد سوخت ، تولید و هماهنگی-2021
As a sustainability policy in emerging markets, the dual-credit policy was implemented in China to reduce corporate average fuel consumption and to promote new energy vehicles (NEVs). Through a game theoretic approach, the fuel economy improvement level and the production of traditional internal combustion engine vehicles (ICEVs) and NEVs are discussed. Research and development cost sharing contracts and ICEV revenue sharing contracts are designed to coordinate conventional automotive supply chains. We compare the current and revised dual-credit policy, identify some policy flaws and propose amendments. The dual-credit policy does not always help automotive supply chains to improve fuel economy, reduce the production of high fuel con- sumption vehicles, and produce more low fuel consumption vehicles and NEVs. The implementation and se- lection of coordination contracts are explored. Both of the above contracts may not be able to coordinate the supply chain, and cost sharing contracts may be better than revenue sharing contracts in some cases. Finally, we present some management insights into the response to the dual-credit policy.
Keywords: Dual-credit policy | Automotive supply chain | Fuel economy | Coordination contract | Emerging market
مقاله انگلیسی
2 Pricing and free periodic maintenance service decisions for an electric-and-fuel automotive supply chain using the total cost of ownership
قیمت گذاری و تصمیمات خدمات تعمیر و نگهداری دوره ای رایگان برای یک زنجیره تامین خودروی الکتریکی و سوختی با استفاده از کل هزینه مالکیت-2021
Although subsidies have had significant impacts on the electric vehicle (EV) market share, many governments have planned to eliminate subsidies. There is a concern that unsubsidized EVs reduce the EV market share, significantly. However, purchasing an EV instead of a fuel vehicle (FV) might impose a lower total cost of ownership (TCO) on customers, depending on their vehicle usage. In this case, supply chains could optimize their decisions considering which vehicle is affordable for each customer class from the view of TCO. This study investigates optimal pricing and free periodic maintenance service (FPMS) decisions in a two-stage electric-and- fuel automotive supply chain, considering TCO to estimate vehicle market shares under customer classification with different vehicle usage patterns. Two bi-level models are developed and solved through Karush-Kuhn- Tucker equations and a reformulation-and-decomposition algorithm. Sensitivity analyses are performed considering various scenarios on energy prices and ownership periods. Results indicate that the high-usage customers are more likely to purchase an EV if the ownership period is the same for all classes. However, if low-usage customers keep the vehicle for a longer period than the others, they are more likely to purchase an EV. Both providing FPMSs by the manufacturer instead of the retailer and increasing the fuel price over time with a higher rate, compared with the electricity price and the inflation rate, improve the EV market share and reduce the total fuel consumption and emissions. Investment to produce EVs is not economical for a high price of electricity while having low fuel prices.
Keywords: Electric vehicles | Total cost of ownership | Automotive supply chain | Pricing decision | Bi-level programming | Decomposition algorithm
مقاله انگلیسی
3 Impact of fuel-efficient technology on automotive and fuel supply chain under government intervention: A case study
تأثیر فناوری کم مصرف بر روی زنجیره تأمین سوخت و خودرو تحت مداخله دولت: مطالعه موردی-2021
Transportation is one of the most influential factors in greenhouse gas emissions and global warming. This paper studies a network with an automotive supply chain that includes one supplier and one manufacturer next to a fuel supply chain consisting of a fuel manufacturer, operating under government intervention. The car manufacturer sells its green and non-green products under the dual-channel system with stochastic demand and demand leakage. To decrease greenhouse gas emissions, the car manufacturer invests in fuel-efficient technology for green products to reduce car fuel consumption. Moreover, due to increasing public awareness of environmental issues, the supplier invests in greening efforts to provide raw materials for fuel-efficient cars. The fuel manufacturer determines the fuel price under the government supervision and the government considers subsidies to support it. The fuel manufacturer has the opportunity to export the surplus fuel to other markets at a higher price. The government supports the production of fuel-efficient cars with two policies of subsidy-taxation and granting loans to customers. By doing so, the car manufacturer improves the level of fuel-efficient technology and the greening efforts of the supplier are increased. Additionally, the amount of fuel consumption in the internal market is reduced and the fuel manufacturer can export more fuel to the external market. As a result, the profit of all members increases simultaneously and environmental conditions improve. This model is studied under two scenarios for the distribution function of stochastic part of demand: (1) the Stackelberg scenario with complete information as a uniform distribution function and (2) the Nash scenario with partial information on a distribution-free approach. Some numerical examples based on real cases are provided to examine the capability of the proposed models. Finally, some sensitivity analyses are applied to the main parameters to extract several in-depth managerial concepts.
Keywords: Automotive supply chain | Fuel-efficient car | Greening efforts | Government intervention | Technology level | Distribution-free approach
مقاله انگلیسی
4 Developing a blockchain framework for the automotive supply chain: A systematic review
ایجاد چارچوب بلاکچین برای زنجیره تأمین خودرو: یک مرور سیستماتیک-2021
As world is affected by demand volatility; process uncertainty; supply chain complexity and information ambiguity forming a VUCA world. To manage this scenario, industries are adopting emerging technologies for business excellence and one among them is Blockchain. Blockchain technology (BCT) is a distributed ledger technology (DLT) that stores transactional records in a tamper-proof and immutable way; it is a promising solution for incorporating transparency and traceability in traditional ecosystem. As automotive industries are facing a Volatile environment, Uncertain schedules & information; Complex supply chain networks, and Ambiguous decisions that cripples the automotive supply chain (ASC). Therefore, BCT can be used to address issues related to ASC in VUCA world. Keeping this in mind, study reported a systematic literature review (SLR) of BCT applications in ASC. More than seventy research papers were reviewed based on different BCT characteristics and applications. Through content analysis, study explored how to link supply chain visibility, information transparency with BCT for an efficient ASC in VUCA world. Moreover, a BCT implementation framework is proposed for ASC, to provide a decision-making approach for practitioners in VUCA world.
Keywords: Automotive supply chain | Blockchain | Systematic literature review | VUCA world
مقاله انگلیسی
5 A Multi-objective, simulation-based optimization framework for supply chains with premium freights
چارچوب مببتنی بر شبیه سازی بهینه سازی چند هدفه برای زنجیره های تامین با کالاهای حق بیمه-2017
In this study, a multi-objective, simulation-based optimization framework is developed for supply chain inventory optimization. In this context, a supply chain consisting of a supplier and a number of plants is considered. The plants use a periodic-review order-up-to level policy and request premium freights from the supplier in case of a risky inventory position. Under this setting, the aim of the study is to determine supplier flexibility and safety stock levels that yield the best performance in terms of holding cost and premium freights. Accordingly, a decomposition-based multi-objective differential evolution al gorithm (MODE/D) is developed for the proposed framework. As the proposed framework considers both holding cost and premium freight performance, it enables the managers to determine the best tradeoff between the objectives. Consequently, managers have a broad decision spectrum in determining supplier flexibility and safety stock levels. The proposed framework is implemented to a real world multi-national automotive supply chain. Purposely, the results obtained by the proposed framework with MODE/D are compared with the results of non-dominated sorting genetic algorithm II (NSGA-II) and current operating condition of the supply chain. The results reveal that MODE/D yields better holding cost and premium freight performance than those of NSGA-II and current operating condition of the supply chain.
Keywords: Simulation-based optimization | Differential evolution | NSGA-II | Inventory management
مقاله انگلیسی
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