运筹与管理 ›› 2015, Vol. 24 ›› Issue (2): 20-28.DOI: 10.12005/orms.2015.0040

• 理论分析与方法探讨 • 上一篇    下一篇

一类供应链中考虑公平关切的学习效应行为实验研究

陈俊霖1, 赵晓波2, 宋亚楠2, 陈建铭2   

  1. 1.中央财经大学 管理科学与工程学院,北京 100081;
    2.清华大学 工业工程系,北京 100084
  • 收稿日期:2013-12-18 出版日期:2015-04-12
  • 作者简介:陈俊霖(1983-),女,四川巴中人,博士,讲师,研究方向: 行为运作管理、运筹学等;赵晓波(1962-),男,湖北嘉鱼人,博士,教授,博士生导师,研究方向:物流与供应链管理、行为运筹学与行为运作管理等;宋亚楠(1985-), 女,辽宁抚顺人,博士生;陈建铭(1988-),男,泰国曼谷人,硕士生。
  • 基金资助:
    国家自然科学基金资助项目(71210002,71401195);科技部创新方法工作专项课题(2012IM040400);中国财经大学121人才工程青年博士发展基金项目(QBJ1412)

An Experimental Study of Fairness and Learning in a Triadic Supply Chain

CHEN Jun-lin1, ZHAO Xiao-bo2, SONG Ya-nan2, CHEN Jian-ming2   

  1. 1.School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China;
    2.Department of Industrial Engineering, Tsinghua University, Beijing 100084, China
  • Received:2013-12-18 Online:2015-04-12

摘要: 大量经济学实验研究证实了公平关切和学习效应对决策者行为的影响力。本文研究三人组供应链系统,通过区别设计个体自我学习以及社会学习的实验环境,对比考察备用供应商的公平关切程度,以及制造商和备用供应商学习曲线的特点。实验结果支持了学习效应存在的假设:随着实验期数的增加,单期决策时间逐渐减少,备用供应商的整体拒绝率逐渐降低,制造商的策略逐渐集中。进一步构建了引入公平关切的强化学习模型。通过参数估计发现在个体自我学习和社会学习实验环境下,备用供应商的横向公平关切程度均较为显著,信息共享对备用供应商的横向公平关切偏好无明显影响。

关键词: 管理科学与工程, 学习效应, 公平关切, 斯坦克伯格博弈, 强化学习模型

Abstract: Experimental studies of behavioral economics have provided convincing evidences that people are not perfectly rational but are affected by factors such as fairness concerns and learning. We conduct laboratory experiments based on a triadic supply chain to examine the horizontal fairness concerns of backup supplier and the learning curves of both manufacturer and backup supplier. Both individual learning and social learning settings are considered. The experiment results support the learning effect hypothesis in the supply chain: As the experiment proceeds, the decision time for a single period decreases; the overall rejection rate of backup supplier is gradually reduced; and the strategies of manufacturers are gradually concentrated. Furrhermore, we construct a reinforcement learning model with horizontal fairness concerns. Parameter estimation results show that the horizontal fairness concern of backup supplier is significant in both experiments with individual learning setting and social learning setting.

Key words: management science and engineering, learning effect, fairness concern, stackelberg game, reinforcement learning model

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