An Improved Fuzzy Inventory Model Under Two Warehouses

Harish Garg

1. Department of ASH (Mathematics), B K Birla Institute of Engineering & Technology Pilani, Rajasthan, India

2. School of Mathematics, Thapar Institute of Engineering & Technology, Deemed University Patiala-147004, Punjab, India

*Corresponding Author: Email: [email protected]

The objective of this work is to present an improved inventory system with fuzzy constraints dealing with two warehouses system-own and rented. In the present model, we analyze the system under the consideration of two warehouses and without shortages with the assumptions of the linear demand function (increasing function of time). Generally, in today’s business scenario for sessional products, some constraints like storage cost, deteriorating cost, and ordering cost change with their original values. Therefore, these constraints cannot be assumed to be constant in that situation. Depending on these facts that we handle these costs as a triangular fuzzy number and hence apply the signed distance technique to solve the corresponding problem. The key objective of this work is to determine the optimal inventory level, and inventory time schedule to a minimum of the whole inventory cost. The proposed model is demonstrated with two numerical examples to observe the behavior of constraints with system cost and compare their performance with and without fuzzy environment.

Inventory, Two warehouses, fuzzy sets, linear demand, fuzzy total cost

A K Malik and Harish Garg (2021). An Improved Fuzzy Inventory Model Under Two Warehouses. Journal of Artificial Intelligence and Systems, 3, 115–129. https://doi.org/10.33969/AIS.2021.31008.

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