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Multi-objective integrated production planning model and simulation constrained doubly by resources and materials

Based on analysing the defects of ERP planning system and researching related literatures, a multi objective integrated production planning model is constructed which is constrained double by resources and materials. The model tekes delivery on-tome, reduces inventory , reduces overtime work, meinta...

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Main Authors: Wang Cheng, Liu, Xiao bing, Zhao, Guo zhi, Chin, Kim On
Format: Article
Language:English
Published: 2016
Online Access:https://eprints.ums.edu.my/id/eprint/20591/1/Multi%20objective%20integrated%20production%20planning%20model%20and%20simulation%20constrained%20doubly%20by%20resources%20and%20materials.pdf
https://eprints.ums.edu.my/id/eprint/20591/
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spelling my.ums.eprints.205912018-08-07T07:14:31Z https://eprints.ums.edu.my/id/eprint/20591/ Multi-objective integrated production planning model and simulation constrained doubly by resources and materials Wang Cheng Liu, Xiao bing Zhao, Guo zhi Chin, Kim On Based on analysing the defects of ERP planning system and researching related literatures, a multi objective integrated production planning model is constructed which is constrained double by resources and materials. The model tekes delivery on-tome, reduces inventory , reduces overtime work, meintains safety inventory as its optimization objectives, and can achieve the integrated optimization method provided by the model has strong feasibility and effectness. 2016 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/20591/1/Multi%20objective%20integrated%20production%20planning%20model%20and%20simulation%20constrained%20doubly%20by%20resources%20and%20materials.pdf Wang Cheng and Liu, Xiao bing and Zhao, Guo zhi and Chin, Kim On (2016) Multi-objective integrated production planning model and simulation constrained doubly by resources and materials. International Journal of Simulation Modelling, 13 (2). pp. 243-254. ISSN 1726-4529
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
description Based on analysing the defects of ERP planning system and researching related literatures, a multi objective integrated production planning model is constructed which is constrained double by resources and materials. The model tekes delivery on-tome, reduces inventory , reduces overtime work, meintains safety inventory as its optimization objectives, and can achieve the integrated optimization method provided by the model has strong feasibility and effectness.
format Article
author Wang Cheng
Liu, Xiao bing
Zhao, Guo zhi
Chin, Kim On
spellingShingle Wang Cheng
Liu, Xiao bing
Zhao, Guo zhi
Chin, Kim On
Multi-objective integrated production planning model and simulation constrained doubly by resources and materials
author_facet Wang Cheng
Liu, Xiao bing
Zhao, Guo zhi
Chin, Kim On
author_sort Wang Cheng
title Multi-objective integrated production planning model and simulation constrained doubly by resources and materials
title_short Multi-objective integrated production planning model and simulation constrained doubly by resources and materials
title_full Multi-objective integrated production planning model and simulation constrained doubly by resources and materials
title_fullStr Multi-objective integrated production planning model and simulation constrained doubly by resources and materials
title_full_unstemmed Multi-objective integrated production planning model and simulation constrained doubly by resources and materials
title_sort multi-objective integrated production planning model and simulation constrained doubly by resources and materials
publishDate 2016
url https://eprints.ums.edu.my/id/eprint/20591/1/Multi%20objective%20integrated%20production%20planning%20model%20and%20simulation%20constrained%20doubly%20by%20resources%20and%20materials.pdf
https://eprints.ums.edu.my/id/eprint/20591/
_version_ 1760229735298760704
score 13.211869

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