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Amiri, M., Hamidieh, A. (2023). Supply Chain Network Design Using Inventory Control Coordination Strategies Under Uncertainty Using Meta-Initiative Approach. Electronic and Cyber Defense, 25(80), 13-27.
Masood Amiri; Alireza Hamidieh. "Supply Chain Network Design Using Inventory Control Coordination Strategies Under Uncertainty Using Meta-Initiative Approach". Electronic and Cyber Defense, 25, 80, 2023, 13-27.
Amiri, M., Hamidieh, A. (2023). 'Supply Chain Network Design Using Inventory Control Coordination Strategies Under Uncertainty Using Meta-Initiative Approach', Electronic and Cyber Defense, 25(80), pp. 13-27.
Amiri, M., Hamidieh, A. Supply Chain Network Design Using Inventory Control Coordination Strategies Under Uncertainty Using Meta-Initiative Approach. Electronic and Cyber Defense, 2023; 25(80): 13-27.

Supply Chain Network Design Using Inventory Control Coordination Strategies Under Uncertainty Using Meta-Initiative Approach

مدیریت زنجیره تأمین
Volume 25, Issue 80, November 2023, Pages 13-27    PDF (1.45 M)
Document Type: Research/ Original/ Regular Article
Authors
Masood Amiri1; Alireza Hamidieh* 2
1Department of industrial engineering, Payame Noor University, Tehran, Iran
2Department of Industrial Engineering, Payame Noor University, Tehran, Iran
Receive Date: 21 December 2022,  Revise Date: 24 June 2023,  Accept Date: 04 July 2023 
Abstract
The design of the integrated supply chain network plays a vital role in improving the operational efficiency of the company. In this regard, it is essential to integrate strategic issues such as location and transportation management with inventory management strategies in the design of the supply chain network. In the current research, the mathematical model of the three-level supply chain network, including supplier, warehouse, and retailer, has been developed by adopting two coordinated and non-coordinated inventory control strategies. The dynamic adaptive control approach is presented to deal with the uncertainty of the economic order quantity. The study's primary focus is examining the integrity or non-integrity of the inventory of supply chain echelons and its effect on the inventory allocation and the reliability levels of network storage points to guarantee a high level of service. A genetic meta-heuristic algorithm has been used to optimize the problem with an ample search space and provides reasonable solutions and reasonable improvement opportunities. The calculation results show that the amount of inventory and the costs of the entire supply chain network show a significant reduction using the coordinated inventory control strategy.
Keywords
Inventory Control; Uncertainty; Network Design; Supply Chain; Coordination; Metaheuristi; Network Analysis Process
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