Penalty and threshold optimisation of the retailer - vendor return contracts for contract re-negotiation in retail reverse supply chains
Mehmet Erdem Coskun and
Elkafi Hassini
European Journal of Industrial Engineering, 2024, vol. 18, issue 3, 303-333
Abstract:
In this paper, we consider a decentralised reverse supply chain constituting of multiple vendors and an independent retailer. The vendors offer the retailer return contracts with a multi-layered penalty structure deal. We focus on the strategic decision of developing optimal vendor re-negotiation contract parameters for the retailer. We model the problem as a mixed integer nonlinear program (MINLP) where the retailer decides on the vendor penalty fees and return thresholds simultaneously. We propose an efficient solution approach based on decomposing by decoupling the decision on penalty fees and return thresholds. The resulting problems are linear and we used them to provide rules for re-negotiation tactics for the retailer. We find that the retailer can save up to 7% from re-negotiation their contract terms. [Received: 16 June 2022; Accepted: 26 February 2023]
Keywords: retail; reverse supply chain; decentralised decision making; coordination; vendor contracts; buyback contracts; return contracts; contract terms; product returns; retail returns; returns management; multi-layered penalty structure; piece-wise linear; optimisation; rule-of-thumb. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=138195 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:eujine:v:18:y:2024:i:3:p:303-333
Access Statistics for this article
More articles in European Journal of Industrial Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().