Computational approach to fuzzified profit optimisation of inventory flow in supply chain with deteriorating items

Computational approach to fuzzified profit optimisation of inventory flow in supply chain with deteriorating items

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Article ID: iaor20173746
Volume: 30
Issue: 1
Start Page Number: 83
End Page Number: 98
Publication Date: Aug 2017
Journal: International Journal of Operational Research
Authors: , , ,
Keywords: management, simulation, fuzzy sets, optimization, combinatorial optimization, inventory
Abstract:

In this paper, we make a fresh attempt to discuss fuzzified profit optimisation of inventory in supply chain with deterioration and power form stock dependent demand. After applying Zadeh's extension principle and centroid method, a system of nonlinear equation has been developed and consequently solved by using fast converging Newton‐Raphson (N‐R) method. The optimum profit of a fuzzified inventory control system as an important performance measure has been computed and sensitivity analysis has been also presented to demonstrate the use of the model under consideration.

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