运筹与管理 ›› 2021, Vol. 30 ›› Issue (9): 86-92.DOI: 10.12005/orms.2021.0284

• 理论分析与方法探讨 • 上一篇    下一篇

共享平台下供应链闲置资源动态优化配置策略

徐琪, 吴翠, 陈啟   

  1. 东华大学 旭日工商管理学院 管理科学与工程系,上海 200051
  • 收稿日期:2019-04-13 出版日期:2021-09-25
  • 作者简介:徐琪(1963-),女,浙江台州人,教授,博士生导师,研究方向:供应链管理和运营管理等;吴翠(1993-),女,江苏徐州人,硕士研究生,研究方向:供应链管理;陈啟(1992-),男,江西宜春人,博士研究生,研究方向:供应链管理。
  • 基金资助:
    国家自然科学基金资助项目(71572033);国家自然科学基金重点项目(71832001);中央高校基本科研业务费专项资金项目(223201900089)

Dynamic Optimal Allocation Strategy of Idle Resources Supply Chain on Shared Platform

XU Qi, WU Cui, CHEN Qi   

  1. Department of Management Science and Engineering, Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China
  • Received:2019-04-13 Online:2021-09-25

摘要: 随着共享经济的发展,其领域已从消费环节延伸到供应链层面。供应链上闲置资源如何重新配置,以实现共享,提高资源利用率,是共享供应链企业面临的新问题。本文考虑基于共享平台的供应链闲置资源匹配过程的动态性,利用微分博弈和动态规划原理分别建立集中式决策下、无成本分担和有成本分担契约的分散式决策下共享供应链闲置资源的优化配置模型,并构建对应的哈密顿-雅克比-贝尔曼(HJB)方程,求解和分析三种情形下资源供应方、共享平台和需求方关于供应链共享闲置资源的最优配置策略。结果表明,成本分担契约在一定条件下可提高供应链闲置资源参与方的积极性,并使供应链上各参与方利润增加,实现共享供应链的Pareto改进。

关键词: 共享经济, 资源配置, 成本分担契约, 供应链, 微分博弈

Abstract: Nowadays, the sharing economy is the most active part of innovation in the emerging economy. Driven by Internet technology, market demand, capital and other factors, its field continues to expand. The sharing economy is moving from consumption to production, and extending to supply chain, which brings a new mode of production, consumption and operation management. How to re-allocate idle resources to achieve resource sharing and improve resource utilization is a new problem faced by companies in the shared supply chain. This paper investigates the resources' dynamic matching in a manufacturing supply chain that consists of two independent and competing manufacturers and a resource-service platform. We first use a differential equation to model the evolution of resource-sharing and capture the effect of matching service efforts on market demand. Next, three dynamic models are constructed in the situation of platform-dominated Stackelberg game, vertical cooperation and platform proposed cost-sharing contract respectively. Finally, by applying optimal control theory and dynamic programming theory, we identify the optimal matching strategies, the optimal trajectories of resource sharing level and profits for decentralized, centralized and cost-sharing contract systems respectively. It is found that, by introducing the cost-sharing contract, the participants' enthusiasm of idle resources supply chain, the matching efforts, and the manufacturing resources sharing level are promoted. What's more, under the cost-sharing contract profits can achieve Pareto improvement for the resources supplier, platform, resources demander and the supply chain system under certain conditions.

Key words: sharing economy, resources allocation, cost-sharing contract, supply chain, differential game

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