Paper Info
Title
Fuzzy Optimization for Multi-item Supply Chain with Trade Credit and Two-Level Price Discount Under Promotional Cost Sharing
Abstract
Here, a multi-item two-level supply chain is considered where supplier offers a cash discount and a credit period to its retailer to boost the demand of the items. Due to this facility, retailer also offers a cash discount to its customers to increase the base demand of the items. Retailer also introduces some promotional costs to boost the base demand of the items. It is established theoretically that if the supplier shares a part of the promotional cost then the channel profit as well as the individual profit increase. It is also established that the cash discount given to the customers has sufficient significance in a supply chain. The supply chain model is also considered in imprecise environment when different inventory costs are fuzzy in nature. In this case, individual profits as well as channel profit become fuzzy in nature. As optimization of fuzzy objective is not well defined, following credibility measure of fuzzy event, an approach is followed for comparison of fuzzy objectives and a particle swarm optimization algorithm is used to find marketing decisions. In another approach graded mean integration values of the fuzzy objectives are optimized to find marketing decisions. Models are illustrated with numerical examples.
Year
DOI
Venue
2018
https://doi.org/10.1007/s40815-017-0434-7
International Journal of Fuzzy Systems
Keywords
Field
DocType
Multi-item supply chain,Price discount,Promotional cost,Credibility measure,Particle swarm optimization
Particle swarm optimization,Mathematical optimization,Credibility,Fuzzy logic,Operations research,Cost sharing,Supply chain,Trade credit,Mathematics,Profit (economics),Cash
Journal
Volume
Issue
ISSN
20
5
1562-2479
Citations 
PageRank 
References 
1
0.35
14
Authors
3
Name
Order
Citations
PageRank
Nilesh Pakhira110.35
Manas Kumar Maiti223620.68
Manoranjan Maiti351447.77