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This study considers two incentive mechanisms, the reward-penalty mechanism (RPM) and the altruistic preference (AP). An E-commerce closed-loop supply chain consisting of a remanufacturer and a network recycling platform (the platform) is constructed to examine the recycling service and the quality improvement. Three models are developed to study how RPM and AP affect recycling decisions and models are also extended to multiple recycling periods to explore how profits and recycling quantity change with time under two incentive mechanisms. The findings show that the RPM and AP help to improve recycling service level, quality improvement level, and recycling quantity. However, under the influence of the platform's AP, the RPM is not always conducive to raising the recycling price. The influence of the platform's AP on recycling price is affected by the quality improvement cost parameter. Only when the RPM intensity is higher than the threshold, RPM can benefit remanufacturer. Consumer surplus is higher with AP and RPM both considered, so consumers can benefit from the two incentive mechanisms. The social welfare first increases and then decreases with the RPM intensity, but increases with the AP coefficient if the reference point of the remanufacturer's profit is small. Although the AP causes a decrease in the platform's profit in the early period of recycling, it can increase recycling quantity and the remanufacturer's profit over time. Moreover, both the remanufacturer and the platform can benefit from two incentive mechanisms and eventually obtain higher profits over time.
Yuyan Wang; Zhaoqing Yu; Liang Shen; Wenquan Dong. Impacts of altruistic preference and reward-penalty mechanism on decisions of E-commerce closed-loop supply chain. Journal of Cleaner Production 2021, 315, 128132 .
AMA StyleYuyan Wang, Zhaoqing Yu, Liang Shen, Wenquan Dong. Impacts of altruistic preference and reward-penalty mechanism on decisions of E-commerce closed-loop supply chain. Journal of Cleaner Production. 2021; 315 ():128132.
Chicago/Turabian StyleYuyan Wang; Zhaoqing Yu; Liang Shen; Wenquan Dong. 2021. "Impacts of altruistic preference and reward-penalty mechanism on decisions of E-commerce closed-loop supply chain." Journal of Cleaner Production 315, no. : 128132.
This paper reviews the decisions, coordination contract, and altruistic preference of an e-commerce supply chain (eSC) composed of a manufacturer and a third-party e-commerce platform (platform). The research derives optimal decisions in a decentralized model with altruistic preference; it is indicated that altruistic preference can help increase the sales price and sales service level. Although the platform’s altruistic preference is not beneficial to its own profits, it can help increase the manufacturer’s profits. Moreover, when the degree of altruistic preference is kept within a limit, the profit of the decentralized system is higher in a model with altruistic preferences, which indicates that altruistic preference can contribute toward maintaining a friendly, harmonious, and cooperative a relationship between the platform and manufacturers. Contrary to a traditional offline supply chain, where the sales price is the lowest in the centralized model, the sales price is highest in a centralized eSC model. In the proposed coordination contract, the platform with a certain degree of altruistic preference offers zero-commission sales service and charges a certain amount for a fixed professional service fee. The proposed contract is more applicable to products whose market demands are less affected by sales prices and more affected by the sales service level.
Yuyan Wang; Zhaoqing Yu; Liang Shen; Wenquan Dong. E-Commerce Supply Chain Models under Altruistic Preference. Mathematics 2021, 9, 632 .
AMA StyleYuyan Wang, Zhaoqing Yu, Liang Shen, Wenquan Dong. E-Commerce Supply Chain Models under Altruistic Preference. Mathematics. 2021; 9 (6):632.
Chicago/Turabian StyleYuyan Wang; Zhaoqing Yu; Liang Shen; Wenquan Dong. 2021. "E-Commerce Supply Chain Models under Altruistic Preference." Mathematics 9, no. 6: 632.
Automatic warehouses need to balance speed, cost, flexibility, and energy consumption to support the responsiveness, efficiency, and sustainability of modern supply chains. This paper explores environmentally friendly velocity and acceleration configurations of the Shuttle-Based Storage and Retrieval Systems (SBS/RS) under throughput requirement. This study develops an energy consumption model for the SBS/RS with cross shuttles operating on a dual-command-cycle basis and estimates the maximum throughput, travel time and energy consumption. Numerical experiments explore the optimal velocity profiles with the least energy consumption under different throughput requirements. The results show that the lift velocity and acceleration are the leading factors influencing energy consumption. Increasing the accelerations of aisle and cross shuttles can moderately reduce travel times and improve storage efficiency, without hurting energy consumption. Besides, this paper also identifies the relationship between throughput capacity and energy consumption. Overall, this study provides insights on the SBS/RS configurations under given throughput requirements and environmental performance and builds a green decision-making basis for automatic warehouse designers and managers.
Ziwei Liu; Yanyan Wang; Mingzhou Jin; Hao Wu; Wenquan Dong. Energy consumption model for shuttle-based Storage and Retrieval Systems. Journal of Cleaner Production 2020, 282, 124480 .
AMA StyleZiwei Liu, Yanyan Wang, Mingzhou Jin, Hao Wu, Wenquan Dong. Energy consumption model for shuttle-based Storage and Retrieval Systems. Journal of Cleaner Production. 2020; 282 ():124480.
Chicago/Turabian StyleZiwei Liu; Yanyan Wang; Mingzhou Jin; Hao Wu; Wenquan Dong. 2020. "Energy consumption model for shuttle-based Storage and Retrieval Systems." Journal of Cleaner Production 282, no. : 124480.