Optimization of Distribution and Support Model in Logistics System Supply Chain under Dynamic and Uncertainty Conditions

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Veisy Omid; HEYDARI JAFAR; RAZMI JAFAR; Sangari Mohammadsadegh

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Paper Information

Journal: A RESEARCH QUARTERLY IN MILITARY MANAGEMENT Year:2019 | Volume:19 | Issue:74 Page(s): 81-116

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Title

Optimization of Distribution and Support Model in Logistics System Supply Chain under Dynamic and Uncertainty Conditions

Author(s)

Veisy Omid | HEYDARI JAFAR | RAZMI JAFAR | Sangari Mohammadsadegh | Issue Writer Certificate

Keywords

LogisticsQ1

Location-InventoryQ1

DynamicsQ1

UncertaintyQ1

Abstract

Research in Logistics management and distribution planning has a similar approach to location inventory components such as order quantity, inventory storage reliability, and demand response. The major aim of this study is decision making in military logistic issues, whereby locating support centers, minimizing problem costs and delivering cargo to anticipated areas, leading to maximum satisfaction of the units through the level of service. This study investigates location and inventory of support units under dynamic and uncertain conditions in three-level mathematics: supporting areas as the first level, supporting units and distribution centers as the second level, and units as the third units. The problem is to determine the number and location of support unit (storages) and their current inventory alongside the allocation of the units or direct support unit (fixed or mobile) to provide the required cargos so that while reducing the cost in the shortest possible time for agility, effective, and scientific support is performed by increasing satisfaction. Therefore, all units in each time period can be supported completely with at least the minimum level of acceptance. The proposed model is a multi-cargo, multi-period one in uncertain conditions of demand and costs. In addition, the proposed fuzzy approach model was analyzed using a robust possibilistic programing through proposing a novel fuzzy index (Me), a developed impact factor, and GAMS 24 software.

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APA: Copy

Veisy, Omid, HEYDARI, JAFAR, RAZMI, JAFAR, & Sangari, Mohammadsadegh. (2019). Optimization of Distribution and Support Model in Logistics System Supply Chain under Dynamic and Uncertainty Conditions. A RESEARCH QUARTERLY IN MILITARY MANAGEMENT, 19(74 ), 81-116. SID. https://sid.ir/paper/385083/en

Vancouver: Copy

Veisy Omid, HEYDARI JAFAR, RAZMI JAFAR, Sangari Mohammadsadegh. Optimization of Distribution and Support Model in Logistics System Supply Chain under Dynamic and Uncertainty Conditions. A RESEARCH QUARTERLY IN MILITARY MANAGEMENT[Internet]. 2019;19(74 ):81-116. Available from: https://sid.ir/paper/385083/en

IEEE: Copy

Omid Veisy, JAFAR HEYDARI, JAFAR RAZMI, and Mohammadsadegh Sangari, “Optimization of Distribution and Support Model in Logistics System Supply Chain under Dynamic and Uncertainty Conditions,” A RESEARCH QUARTERLY IN MILITARY MANAGEMENT, vol. 19, no. 74 , pp. 81–116, 2019, [Online]. Available: https://sid.ir/paper/385083/en

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