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Kreipl S. and Pinedo M (2004). Planning and Scheduling in Supply Chains:An Overview of Issues in Practice, Production and Operations Management Society, Spring Vol. (13).

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Article

Integrated Decision Making in Production Department inside Internal Supply Chain

1Department of statistical, College of Administration and Economic, University of Sumer, Al-Refaee, Thi-qar, Iraq

2Branch of Industrial Engineering, Department of Production Engineering and Metallurgy, University of Technology, Baghdad, Iraq


American Journal of Industrial Engineering. 2016, Vol. 4 No. 1, 21-28
DOI: 10.12691/ajie-4-1-4
Copyright © 2016 Science and Education Publishing

Cite this paper:
Watheq H. Laith, Sawsan S.Abed Ali, Mahmoud A. Mahmoud. Integrated Decision Making in Production Department inside Internal Supply Chain. American Journal of Industrial Engineering. 2016; 4(1):21-28. doi: 10.12691/ajie-4-1-4.

Correspondence to: Watheq  H. Laith, Department of statistical, College of Administration and Economic, University of Sumer, Al-Refaee, Thi-qar, Iraq. Email: wahe36@yahoo.com

Abstract

The most important drawback of existing methods used to solve the sequencing problems is the sequence must have a few products and dependent setup time for single demand. The main advantage of this new methodology, it using two methods to determine optimum products sequences with many products and muti-demands and also applied in Wasit company, that has production line produce multi-products. First, modified assignment method (MAM) depends on fundamental of TSP and using it decision maker to determine optimum products sequences step by step or demand by demand to short planning. The second method genetic algorithm (GA) depend on fundamental of (TSPPCA) and using it decision maker to determine optimum products sequences as global optimal or optimal entirely or long planning.

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