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

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 r...

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Bibliographic Details
Published in:Operations Research Forum 2023-09, Vol.4 (3), p.56, Article 56
Main Authors: Panda, Minakshi, Sahoo, Anuradha
Format: Article
Language:English
Subjects:
Algorithms
Applications of Mathematics
Business and Management
Fuzzy logic
Fuzzy sets
Inventory
Inventory management
Linear programming
Math Applications in Computer Science
Mathematical and Computational Engineering
Mathematical models
Multiple objective analysis
Nonlinear programming
Objectives
Operations Research/Decision Theory
Optimization
Order quantity
Parameter sensitivity
Sensitivity analysis
Shortages
Citations: Items that this one cites
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Summary: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.
ISSN:2662-2556
2662-2556
DOI:10.1007/s43069-023-00237-0