Affiliation:
1. Teaching Department of Basic Subjects, Jiangxi University of Science and Technology, Nanchang 330013, China
2. Business School, Jiangxi University of Science and Technology, Nanchang 330013, China
Abstract
This article focuses on the return problem of electronic products caused by the low level of quality control in the production process. Based on previous research, a centralized decision model (DM) and four kinds of decentralized DMs are constructed according to the differences in the supply chain decision order and the return loss bearers. Moreover, the impact of quality control on the return rate and market demand is also considered in the model research to achieve the optimization of the model. Using Stackelberg game knowledge to compare and analyze supply chain decisions, profits and influencing factors in different models, the final conclusions are drawn: (1) the decision is optimal and the profit is the highest in the centralized DM; (2) when the manufacturer dominates the supply chain decision, the difference in return loss bearers does not affect the supply chain decision and profit; (3) compared with other decentralized DMs, when the retailer dominates the supply chain decision and the manufacturer bears the return loss, the supply chain decision is better and the profit is higher; (4) the quality control level and the total profit in the five supply chain models are proportional to the quality control effect and the consumer perception of quality control. In addition, this paper introduces a joint contract to coordinate the supply chain under the decentralized DM and achieves the desired results. Finally, the relevant research findings and the validity of the contract are verified in the arithmetic analysis.
Funder
National Natural Science Foundation of China
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference51 articles.
1. Analysis of quality control in efforts to reduce the level of product defects at PT. MAG;Azmi;Tech. Soc. Sci. J.,2020
2. Application of quality control products in order to lower the number of defective product based on process capability in the printing section;Purbawati;Int. J. Sci. Technol. Res.,2018
3. Benbarrad, T., Salhaoui, M., Kenitar, S.B., and Arioua, M. (2021). Intelligent machine vision model for defective product inspection based on machine learning. J. Sens. Actuat. Netw., 10.
4. Quality control system of parts processing based on EWMA;Peng;Mach. Tool Hydraulics,2022
5. Analysis of business loss and system risk caused by non-standard and excessive quality;Shirai;Int. J. Innov. Comput. Inf.,2018
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献