管理评论 ›› 2022, Vol. 34 ›› Issue (4): 317-327.

• 物流与供应链管理 • 上一篇    下一篇

基于旧件质量分级的再制造回收定价决策研究

尹君1, 谢家平2,3, 杨光4, 张为四5   

  1. 1. 上海开放大学经济管理学院, 上海 200433;
    2. 新疆财经大学工商管理学院, 乌鲁木齐 830012;
    3. 上海财经大学商学院, 上海 200433;
    4. 江苏信息职业技术学院商学院, 无锡 214153;
    5. 上海海事大学物流科学与工程研究院, 上海 201306
  • 收稿日期:2019-04-01 出版日期:2022-04-28 发布日期:2022-05-18
  • 通讯作者: 谢家平(通讯作者),新疆财经大学工商管理学院特聘教授,天山学者,上海财经大学商学院教授,博士生导师,博士。
  • 作者简介:尹君,上海开放大学经济管理学院副教授,博士;杨光,江苏信息职业技术学院商学院副教授,博士;张为四,上海海事大学物流科学与工程研究院讲师,博士。
  • 基金资助:
    国家社会科学基金重点课题(20AJY008)。

The Recycling-pricing Model of Remanufacturing Based on the Quality Grading

Yin Jun1, Xie Jiaping2,3, Yang Guang4, Zhang Weisi5   

  1. 1. School of Economics and Management, Shanghai Open University, Shanghai 200433;
    2. School of Business Administration, Xinjiang University of Finance & Economics, Urumqi 830012;
    3. College of Business, Shanghai University of Finance & Economics, Shanghai 200433;
    4. College of Business, Jiangsu Vocational College of Information Technology, Wuxi 214153;
    5. Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306
  • Received:2019-04-01 Online:2022-04-28 Published:2022-05-18

摘要: 随着产品更新换代加快,加之社会与政府的支持,再制造产业兴起,很多企业开始尝试分级回收,但并没有将分级回收与再制造统筹考虑,有必要从整个回收再制造系统的层面来构建旧件回收定价决策模型。研究发现:不是所有旧件都适合分级回收定价,存在最优分级数;最优回收分级数的选择会受到旧件回收再制造特征以及检测成本等因素的影响;不同再制造发展阶段的回收定价决策不同。针对上述研究成果,建议对回收质量波动大、回收质量与再制造成本对回收价格敏感且检测成本不高的旧件采用分级回收定价策略,借助分级价格信号,有效调节回收市场供求,引导旧件的合理流向与配置,提高回收效率。

关键词: 质量分级, 分级回收定价, 回收再制造, 回收质量不确定

Abstract: The accelerating product upgrading plus the support from the community and the government are rejuvenating the remanufacturing industry. A lot of enterprises have begun grading-based recycling, but they fail to consider grading recycling and remanufacturing as a whole. It is found that not all waste products are suitable for graded recovery pricing, and there exists an optimal number of recovery grades; the optimal number of recovery grades will be affected by the waste products recovery, remanufacturing characteristics and testing costs; the pricing decisions at different remanufacturing stages are different. Given the above findings, it is suggested to take a grading-based recycling and pricing strategy for the recyclables that are at different levels of quality, sensitive to price because of quality and remanufacturing cost and do not require a high testing cost, so as to effectively regulate the supply and demand of the recycling market with the help of the grading price signal, guide the rational flow and allocation of the recyclables and improve the recovery efficiency.

Key words: quality grading, graded recyclables pricing, recycling and remanufacturing, uncertainty in the quality of recyclables