Application of Linear Programming Model for Industrial Supply Chain Network Design

A Case Study

Authors

  • Temesgen Garoma Wallaga University
  • Daniel Kitaw Addis Ababa University

Keywords:

Linear Programming Mode, Network Design, Optimization, Case Study, Supply Chain

Abstract

A Linear Programming Model (LPM) capturing many practical aspects of network design problems and the optimization techniques, like transportation model, to be used were introduced in this study. The objective is to design the supply chain (SC) network so as to minimize annual system-wide costs and improve service level requirements, thereafter increase market share. This is because at current practices most companies do not have a means to sense real situations at their SC. The design approaches employed here followed three major methods namely data collection and aggregation; modeling and data validation; and use of solution techniques to produce a good optimized result. Finally, a general LPM that simultaneously locates multi plant and warehouses is applied to the case company that results in optimization of current network, design of new SC network, and large cost savings.

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Author Biographies

Temesgen Garoma, Wallaga University

Department of Mechanical Engineering, College of Engineering and Technology, Wollega University, Post Box No: 395, Ethiopia

Daniel Kitaw, Addis Ababa University

School of Industrial and Mechanical Engineering, Addis Ababa Institute of Technology, Addis Ababa University, Addis Ababa, Ethiopia

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Published

30.06.2013

How to Cite

Garoma, T., & Kitaw, D. (2013). Application of Linear Programming Model for Industrial Supply Chain Network Design: A Case Study. Journal of Science, Technology and Arts Research, 2(2), 105–114. Retrieved from https://journals.wgu.edu.et/index.php/star/article/view/131

Issue

Section

Original Research

Categories

Plaudit