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http://dx.doi.org/10.7232/iems.2016.15.4.354

Multi-Objective Soft Computing-Based Approaches to Optimize Inventory-Queuing-Pricing Problem under Fuzzy Considerations  

Alinezhad, Alireza (Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University)
Mahmoudi, Amin (Department of Industrial Engineering, Raja University)
Hajipour, Vahid (Industrial Engineering Department, Faculty of Engineering, Bu-Ali Sina University)
Publication Information
Industrial Engineering and Management Systems / v.15, no.4, 2016 , pp. 354-363 More about this Journal
Abstract
Due to uncertain environment, various parameters such as price, queuing length, warranty, and so on influence on inventory models. In this paper, an inventory-queuing-pricing problem with continuous review inventory control policy and batch arrival queuing approach, is presented. To best of our knowledge, (I) demand function is stochastic and price dependent; (II) due to the uncertainty in real-world situations, a fuzzy programming approach is applied. Therefore, the presented model with goal of maximizing total profit of system analyzes the price and order quantity decision variables. Since the proposed model belongs to NP-hard problems, Pareto-based approaches based on non-dominated ranking and sorting genetic algorithm are proposed and justified to solve the model. Several numerical illustrations are generated to demonstrate the model validity and algorithms performance. The results showed the applicability and robustness of the proposed soft-computing-based approaches to analyze the problem.
Keywords
Inventory Control; Queuing Theory; Fuzzy Programming; Pricing; Computational Intelligence;
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Times Cited By KSCI : 1  (Citation Analysis)
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