Department of Applied Mathematics and Oceanology and Compute Programming, Vidyasagar University, India
*Corresponding Author: Suman Maity, Department of Applied Mathematics and Oceanology, and Compute Programming, Vidyasagar University, India.
Received: December 27, 2019; Published: December 02, 2019
In accordance with the advancements of fuzzy set theory and its applications in decision-making problems, there is a recent trend to provide versatile decision support systems for different Inventory Management problems. Again, managing inventory in a real merchandises/organization provides an understanding that gives the managers’ new insights and capabilities to determine better solutions in problems like production management, supply chain management, project management, etc. Inventories are kept so that demands may be met, orders filled, requirements satisfied, etc. So, the problem of analysing different inventory problems in a real environment is an eternal task. It has been argued in a large body of recent literature that fuzzy sets theory could provide an appropriate framework for dealing with uncertainties in areas where intuition and subjective judgment play an important role. In such cases uncertainty is caused by the imprecision of natural language description rather than the existence of statistical frequency of the occurrence of events. To our consideration modelling and analysis of inventory systems using fuzzy logic deserve a good platform in generating some realistic fuzzy inventory problems.
Citation: Suman Maity. “Fuzzy Decision-Making Approach in Inventory Management Problem”. Acta Scientific Computer Sciences 2.4 (2020): 01-03.
Copyright: © 2020 Suman Maity. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.