American Journal of Industrial Engineering
ISSN (Print): 2377-4320 ISSN (Online): 2377-4339 Website: http://www.sciepub.com/journal/ajie Editor-in-chief: Ajay Verma
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American Journal of Industrial Engineering. 2016, 4(1), 21-28
DOI: 10.12691/ajie-4-1-4
Open AccessArticle

Integrated Decision Making in Production Department inside Internal Supply Chain

Watheq H. Laith1, , Sawsan S.Abed Ali2 and Mahmoud A. Mahmoud2

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

Pub. Date: December 21, 2016

Cite this paper:
Watheq H. Laith, Sawsan S.Abed Ali and 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

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.

Keywords:
products sequencing modified assignment method genetic algorithm

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