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A Study of Electronic Product Supply Chain Decisions Considering Quality Control and Cross-Channel Returns

Author

Listed:
  • Haiping Ren

    (Teaching Department of Basic Subjects, Jiangxi University of Science and Technology, Nanchang 330013, China)

  • Rui Chen

    (Business School, Jiangxi University of Science and Technology, Nanchang 330013, China)

  • Zhijun Lin

    (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.

Suggested Citation

  • Haiping Ren & Rui Chen & Zhijun Lin, 2023. "A Study of Electronic Product Supply Chain Decisions Considering Quality Control and Cross-Channel Returns," Sustainability, MDPI, vol. 15(16), pages 1-23, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12304-:d:1215731
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    References listed on IDEAS

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    1. Yan Shen & Zizhao Song & Tian Gao & Ji Ma, 2022. "Research on Closed-Loop Supply Chain Decision Making of Power Battery Considering Subsidy Transfer under EPR System," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    2. Albert Y. Ha & Shilu Tong & Hongtao Zhang, 2011. "Sharing Demand Information in Competing Supply Chains with Production Diseconomies," Management Science, INFORMS, vol. 57(3), pages 566-581, March.
    3. Yang Lv & Xinhua Bi & Quanxi Li & Haowei Zhang, 2022. "Research on Closed-Loop Supply Chain Decision Making and Recycling Channel Selection under Carbon Allowance and Carbon Trading," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    4. Isna Zulfa Azmi & Oktora Yogi Sari, 2020. "Analysis of quality control in efforts to reduce the level of product defects at PT. MAG," Technium Social Sciences Journal, Technium Science, vol. 8(1), pages 428-436, June.
    5. Xingyao Liu & Kai Wang & Hui Lu, 2023. "Research on Supply Chain Decisions for Production Waste Recovery and Reuse Based on a Recycler Focus," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    6. Ömer Faruk Yılmaz & Büşra Yazıcı, 2022. "Tactical level strategies for multi-objective disassembly line balancing problem with multi-manned stations: an optimization model and solution approaches," Annals of Operations Research, Springer, vol. 319(2), pages 1793-1843, December.
    7. Dongquan Liu & Shaojun Zhu & Bangquan Liu & Dechao Sun & Fangqin Fei, 2021. "Improvement of CT Target Scanning Quality for Pulmonary Nodules by PDCA Management Method," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, March.
    Full references (including those not matched with items on IDEAS)

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