Optimal Remanufacturing and Pricing Strategies under Name-Your-Own-Price Auctions and Stochastic Demand

Jianbin Li, Qifei Wang, Hong Yan, Stuart X. Zhu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


In this paper, we study recycling, remanufacturing, and pricing strategies of a manufacturer in a closed-loop supply chain. Different from traditional list-price transaction, a name-your-own-price auction is introduced into the recycling process where consumers offer a bid for their own used items and the manufacturer decides whether to accept the bid. We first analyze the consumers' behavior and find that their bids increase with the dealing cost. Next, we build a newsvendor framework to investigate the manufacturer's optimal manufacturing with pricing strategies and find that the stocking factor influences the recycling quantity and manufacturing policy. Moreover, we find that a larger salvage value motivates the manufacturer to set a higher stocking factor and thus recycle more as well as manufacture new products. We further investigate the effect of the demand uncertain level and the dealing cost on the system.
Original languageEnglish
Article number1650004
JournalAsia-Pacific Journal of Operational Research
Issue number1
Publication statusPublished - 1 Feb 2016


  • Closed-loop supply chain
  • name-your-own-price auctions
  • stochastic demand

ASJC Scopus subject areas

  • Management Science and Operations Research


Dive into the research topics of 'Optimal Remanufacturing and Pricing Strategies under Name-Your-Own-Price Auctions and Stochastic Demand'. Together they form a unique fingerprint.

Cite this