Novel Methods for Solving Multi-Objective Non-linear Inventory Model of Highly Deteriorating Items

Minakshi Panda () and Anuradha Sahoo ()
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Minakshi Panda: Siksha ’O’Anusandhan Deemed to be University
Anuradha Sahoo: Siksha ’O’Anusandhan Deemed to be University

SN Operations Research Forum, 2023, vol. 4, issue 3, 1-22

Abstract: Abstract In this study, multi-objective inventory model of deteriorating and perishable items is developed under space and budget constraints. Demand is stock dependent and power function of time. This model is completely a new model in the sense that the model is applied to those items whose deterioration rate is maximum. Shortages are allowed in each cycle. The main aim of this paper is to find different time points for each cycle where shortage occurs and inventory depletes, respectively, so that both total cost and shortage cost can be minimized simultaneously. The model is developed in both crisp and fuzzy environment. In fuzzy environment, the objectives are considered as fuzzy constraints. For this, the decision maker needs to establish an aspiration level for the objective functions which he wants to achieve as far as possible. This paper aims to use fuzzy non-linear programming (FNLP) and intuitionistic fuzzy optimization (IFO) techniques for the multi-objective inventory model. Comparison is based on different optimization techniques in different environment using numerical examples. A graph of the objective functions is provided. A system diagram of the model and an algorithm for solving the model are provided. Also, sensitivity analysis is made using different parameters of the model.

Keywords: Inventory model; Deterioration; Power function; Shortages; Multi-objective non-linear programming; Membership function and non-membership function (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s43069-023-00237-0

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