详细信息
Optimal pricing for a multi-echelon closed loop supply chain with different power structures and product dual differences ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Optimal pricing for a multi-echelon closed loop supply chain with different power structures and product dual differences
作者:Liu, Wenjie[1];Qin, Dingzhi[1];Shen, Ningning[1];Zhang, Jing[2];Jin, Mingzhou[3,4];Xie, Naiming[1];Chen, Jian[1];Chang, Xiangyun[5]
机构:[1]Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211106, Peoples R China;[2]China United Network Telecommun Corp, Changzhou Branch, Changzhou 213000, Peoples R China;[3]Univ Tennessee, Dept Ind & Syst Engn, Knoxville, TN 37996 USA;[4]Univ Tennessee, Inst Secure & Sustainable Environm, Knoxville, TN 37996 USA;[5]East China Univ Sci & Technol, Dept Management Sci & Engn, Shanghai 200237, Peoples R China
年份:2020
卷号:257
外文期刊名:JOURNAL OF CLEANER PRODUCTION
收录:;EI(收录号:20200808203220);WOS:【SCI-EXPANDED(收录号:WOS:000522383500089)】;
基金:\This work is partially supported by grants from the National Natural Science China Fund (71871117, 71473085, 71671090, 51705250), Humanities and Social Science Foundation of Ministry of Education of China (18YJA630066), Key Project of University Social Sciences Foundation of Jiangsu Province of China (2017ZDIXM083), Aeronautical Science Fund of China (2017ZG52080), Fundamental Research Funds for the Central Universities (NJ2018025).
语种:英文
外文关键词:Multi-echelon closed-loop supply chain; Power structure; Product dual differences; Optimal pricing
摘要:Main objectives of this research are to investigate the effect of different power structures and product dual differences, quality difference among used products and price difference between new ad remanufactured products, on pricing policies of a multi-echelon closed loop supply chain (MCLSC) and to propose future improvement strategies. To achieve these objectives, centralized and decentralized pricing models for the MCLSC were constructed to explore optimal member pricing and optimal profit under different power structures: centralized, Manufacturer-led Stackelberg (MS), Retailer-led Stackelberg (RS) and Collector-led Stackelberg (CS) pricing models and to analyze the impact of three key parameters, collection rate, crossprice elasticity coefficient, and quality grade ratio of used products. By comprehensive theory comparisons and a case study of auto alternators, the results of theoretic analysis indicated three insights. (1) The centralized pricing model always achieves the maximum total profit of the MCLSC, but the CS model obtained a minimumtotal profit. (2) For three decentralized pricing models, the optimal wholesale price and optimal retail price for new product and remanufactured product all increase with the collection rate and cross-price elasticity coefficient. For MS model and RS model, however, optimal acquisition price for used product decrease with the two parameters. (3) The optimalwholesale price and optimal retail price for new product rise up with the quality grade ratio in each decentralized pricing model. There are also three important findings from the case study. (1) When the collection rate is increased, the optimal total profit shows a U-shaped curve, with a profit trap around a certain collection rate. (2) The optimal acquisitionprice drops slightly with the cross-price elasticity coefficient, but the optimal wholesale price and optimal retail price increase sharply. This causes a benefit conflict between MCLSC members and consumers. It is recommended that the cross-price elasticity coefficient should be carefully controlled under a certain value to relieve the conflict. (3) When the quality grade ratio increases, optimal profits for all member and the system all increase and have a shell shape. They reach approximate maximumwhen remanufacturing ratio was raised to 95%. Major contributions of this paper are an effective decision tool for optimal pricing decisions of the MCLSC and insights for appropriate industrial policies and enterprise strategies to enhance the performance of the MCLSC. (C) 2020 Elsevier Ltd. All rights reserved.
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