Please use this identifier to cite or link to this item: http://111.93.204.14:8080/xmlui/handle/123456789/579
Title: Cloudy fuzzy inventory model under imperfect production process with demand dependent production rate
Authors: Maiti, Ajoy Kumar
Keywords: EPL
Reliability
De and Beg’s ranking index method
Cloudy fuzzy number
Dominance Based Particle Swarm Optimization (DBPSO)
Issue Date: Jan-2021
Publisher: Journal of Management Analytics (Taylor&Francis)
Abstract: The aim of this article is an effort to initiate the cloudy fuzzy number in developing classical economic production lot-size model of an item produced in scrappy production process with fixed ordering cost and without shortages. Here, the market value of an item is cloudy fuzzy number and the production rate is demand dependent. In general, fuzziness of any parameter remains fixed over time, but in practice, fuzziness of parameter begins to reduce as time progresses because of collected experience and knowledge that motivates to take cloudy fuzzy number. The model is solved in a crisp, general fuzzy and cloudy fuzzy environment using Yager’s index method and De and Beg’s ranking index method and comparisons are made for all cases and better results obtained in the cloudy fuzzy model. The model is solved by dominance based Particle Swarm Optimization algorithm to obtain optimal decision and numerical examples and sensitivity analyses are presented to justify the notion.
URI: http://111.93.204.14:8080/xmlui/handle/123456789/579
ISSN: 2327-0039
2327-0012
Appears in Collections:Articles

Files in This Item:
File Description SizeFormat 
JMA_Ajoy 2021.pdf538.16 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.