Paper Info
Title
Solution Of An Imperfect-Quality Eoq Model With Backorder Under Fuzzy Lock Leadership Game Approach
Abstract
This paper considers an economic order quantity (EOQ) inventory model for items with imperfect quality and shortage backordering under several styles of managerial leadership via lock fuzzy game theoretic approach. The decision maker (DM) controls several cost components by playing as Player 1 on the one side and the consumers who may accept/reject those items (unwilling to buy those commodities) stands as Player 2 on the other side. First of all, we develop a profit maximization backlogging EOQ model where the imperfect items are screened out batchwise. Because of the fuzzy flexibility of the model parameters we also develop a fuzzy mathematical model by considering the demand, all cost parameters, and other input parameters of the inventory system as triangular lock fuzzy numbers. Then we develop a 3 x 3 matrix game by applying a five-stage leadership theory employing several key vectors in the model itself. The problem has been solved for crisp, general fuzzy models of several leadership styles also. Numerical results show that for a cooperative game, inventory profit function reaches its maximum rather than the noncooperative game by the use of proper keys. Finally, comparative study, sensitivity analysis, and graphical illustrations are made to justify the new approach.
Year
DOI
Venue
2021
10.1002/int.22305
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Keywords
DocType
Volume
backlogging, game and leadership theory, imperfect item, inventory, triangular lock fuzzy set
Journal
36
Issue
ISSN
Citations 
1
0884-8173
1
PageRank 
References 
Authors
0.35
0
2
Name
Order
Citations
PageRank
Sujit Kumar De1438.01
Gour Chandra Mahata2415.28