Paper Info
Title
A fuzzy supply chain contract problem with pricing and warranty
Abstract
This paper analyzes a supply chain contract problem combining pricing with warranty under incomplete information, in which the supplier's product quality is usually unobservable and has a vagueness boundary to the buyer, it is reasonable to be characterized as a fuzzy variable. There are two important decisions of the buyer: the pricing decision and the warranty decision. Thus, a pricing and warranty contract model is developed with the purpose of maximizing the buyer's expected payoff under incentive feasible scheme. The analysis method is mainly decomposing the buyer's problem into an implementation problem and an optimization problem. The results demonstrate that, if purchasing quantity and product quality are complementary, the buyer's second-best purchasing quantity will be less than the first-best one; if substitutable, the opposite is true. Moreover, in order to demonstrate the superiority/novelty of the proposed model, two degenerated contracts, i.e., the pricing contract and the warranty contract are discussed, respectively, and the advantage of the combined pricing and warranty contract is also given. Finally, one numerical example is given to illustrate the applicability of the proposed model.
Year
DOI
Venue
2014
10.3233/IFS-130836
Journal of Intelligent and Fuzzy Systems
Keywords
Field
DocType
warranty contract,warranty contract model,product quality,warranty decision,supply chain contract problem,combined pricing,pricing decision,fuzzy supply chain contract,proposed model,implementation problem,pricing contract
Warranty,Fuzzy logic,Operations research,Supply chain,Artificial intelligence,Purchasing,Unobservable,Optimization problem,Machine learning,Complete information,Mathematics,Stochastic game
Journal
Volume
Issue
ISSN
26
3
1064-1246
Citations 
PageRank 
References 
13
0.62
18
Authors
3
Name
Order
Citations
PageRank
Yanfei Lan121815.92
Ruiqing Zhao258846.97
Wansheng Tang355456.00