| 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: | Sharma Dinesh K, Mishra S S, Yadav S K, Rawat S |
| Keywords: | management, simulation, fuzzy sets, optimization, combinatorial optimization, inventory |
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.