Optimal pricing and alliance strategy in a retailer-led supply chain with the return policy: A game-theoretic analysis

Ata Allah Taleizadeh, Vahid Reza Soleymanfar, Tsan Ming Choi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

43 Citations (Scopus)

Abstract

Motivated by various observed real world practices, we study in this paper a joint pricing and alliance selection decision making problem in a retailer-led supply chain. We examine the case when: (i) a return policy is in place, and (ii) a potential new upstream supplier which provides a substitutable product is entering the market. We first develop a benchmark model for a basic situation in which only a dominant retailer and a supplier are present in the supply chain system. Then we propose four different alliance models for the case when a new supplier enters the system. Detailed solution schemes for the optimal pricing and alliance decisions are developed. We conduct a numerical analysis to present the application of our proposed procedures, and find that having the alliance strategy need not improve the supply chain performance. Finally, we report the sensitivity analysis findings to highlight the fact that the product cost and the return rate of the original supplier's product both significantly affect the optimal alliance strategy decisions.
Original languageEnglish
Pages (from-to)466-489
Number of pages24
JournalInformation Sciences
Volume420
DOIs
Publication statusPublished - 1 Dec 2017

Keywords

  • Alliance selection
  • Game theory
  • Pricing
  • Product return policy
  • Supply chain management

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

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