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67329

EVALUATING OPERATING DISTRIBUTION STRATEGIES IN SUPPLY CHAIN MANAGEMENT USING A HYBRID SIMULATION APPROACH

Article

Last updated: 25 Dec 2024

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Abstract

This paper presents an innovative hybrid simulation modeling approach developed for supply chains. The model approach has been built to investigate different inventory policies and transportation strategies in a supply chain network that minimize the system wide cost. The complex system is modelled using the powerful discrete-event simulation software DOSIMIS-3 and C++ DLL is developed for this purpose. This Hybrid approach combines the analytical inventory models, heuristics transportation strategies approaches, and simulation models to model different network structures and operating distribution strategies in supply chains. The developed approach is described in detail for the analysis of supply chains. The results from experiments that demonstrate the benefits of the proposed architecture are discussed and presented.

DOI

10.21608/erjm.2010.67329

Keywords

Supply chain management, Discrete-event simulation, Inventory policies, Transportation strategies

Authors

First Name

Tarak A.

Last Name

Housein

MiddleName

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Affiliation

Department of Industrial and Manufacturing Systems Engineering, University of Garyounis – LIBYA

Email

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City

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Orcid

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First Name

Amer A

Last Name

Boushaala

MiddleName

-

Affiliation

Department of Industrial and Manufacturing Systems Engineering, University of Garyounis – LIBYA

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Volume

33

Article Issue

3

Related Issue

10168

Issue Date

2010-07-01

Receive Date

2020-01-02

Publish Date

2010-07-01

Page Start

279

Page End

287

Print ISSN

1110-1180

Online ISSN

3009-6944

Link

https://erjm.journals.ekb.eg/article_67329.html

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https://erjm.journals.ekb.eg/service?article_code=67329

Order

11

Type

Original Article

Type Code

1,118

Publication Type

Journal

Publication Title

ERJ. Engineering Research Journal

Publication Link

https://erjm.journals.ekb.eg/

MainTitle

EVALUATING OPERATING DISTRIBUTION STRATEGIES IN SUPPLY CHAIN MANAGEMENT USING A HYBRID SIMULATION APPROACH

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Article

Created At

22 Jan 2023