Analysis of Reverse Channels in a Stochastic Closed-loop Supply Chain

Posted: 13 Dec 2019 Last revised: 14 Apr 2020

See all articles by Zongsheng Huang

Zongsheng Huang

affiliation not provided to SSRN

Suresh Sethi

University of Texas at Dallas - Naveen Jindal School of Management

Date Written: Dec 2019

Abstract

We study a closed-loop supply chain in which used products can be collected by a manufacturer, a retailer, or a third-party for the purpose of recycling. Since the collection process can be noisy, the system dynamic is modeled by a stochastic differential equation. We formulate stochastic differential game models for each of the three reverse channels, derive their feedback control strategies, and compare the performance of the three reverse channels. We find that the manufacturer collection is the most efficient reverse channel. This is different from the known result in a static setting that has the retailer collection as the best channel. Furthermore, we extend our model to consider the impact of the reverse logistics cost and the collection cost coefficient. The retailer and the third-party collection could also be the best reverse channel when the retailer has the advantage of a low reverse logistics cost, or the third-party has the advantage of a high collection capacity, respectively.

Keywords: closed-loop supply chain; reverse channel; stochastic differential game; feedback control strategy

JEL Classification: C61, B23, C15, C10, C4

Suggested Citation

Huang, Zongsheng and Sethi, Suresh, Analysis of Reverse Channels in a Stochastic Closed-loop Supply Chain (Dec 2019). Available at SSRN: https://ssrn.com/abstract=3493925 or http://dx.doi.org/10.2139/ssrn.3493925

Zongsheng Huang

affiliation not provided to SSRN

Suresh Sethi (Contact Author)

University of Texas at Dallas - Naveen Jindal School of Management ( email )

800 W. Campbell Road, SM30
Richardson, TX 75080-3021
United States

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