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The (p, q, r, l) model for stochastic demand under Intuitionistic fuzzy aggregation with Bonferroni mean

Sujit Kumar De () and Shib Sankar Sana ()
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Sujit Kumar De: Midnapore College (Autonomous)
Shib Sankar Sana: Bhangar Mahavidyalaya

Journal of Intelligent Manufacturing, 2018, vol. 29, issue 8, No 5, 1753-1771

Abstract: Abstract This paper investigates a hill type economic production-inventory quantity (EPIQ) model with variable lead-time, order size and reorder point for uncertain demand. The average expected cost function is formulated by trading off costs of lead-time, inventory, lost sale and partial backordering. Due to the nature of the demand function, the frequent peak (maximum) and valley (minimum) of the expected cost function occur within a specific range of lead time. The aim of this paper is to search the lowest valley of all the valley points (minimum objective values) under fuzzy stochastic demand rate. We consider Intuitionistic fuzzy sets for the parameters and used Intuitionistic Fuzzy Aggregation Bonferroni mean for the defuzzification of the hill type EPIQ model. Finally, numerical examples and graphical illustrations are made to justify the model.

Keywords: Manufacturing; Lead time; Fuzzy system; Bonferroni mean; Optimization (search for similar items in EconPapers)
Date: 2018
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