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IJSTR >> Volume 9 - Issue 8, August 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

The Decision-Making Support For Production Planning & Supplier Selection Under Probabilistic Environment Using Bi-Objective Programming: A Single Period Case

[Full Text]



Solikhin, Sutrisno*, Purnawan Adi Wicaksono



bi-objective programming, decision-making support, probabilistic environment, probabilistic programming, production planning, supplier selection, supply chain management.



This article discusses the formulation of a decision-making support tool for production planning and supplier selection problem with some uncertain parameters. This involved the use of probabilistic programming with the uncertain parameter approached as a random variable. Moreover, two objective functions were optimized in the model and these include the number of products to be produce required to be maximized and the total operational cost to be minimized. The optimal decision was calculated using the probabilistic bi-objective programming in LINGO 18.0 software after which a numerical experiment was conducted to illustrate the process involved in determining the decision. The results showed the optimal supplier to be selected corresponds to the optimal number of each raw material type while the quantity of products to be produced was also determined. This, therefore, means it is possible for manufacturing industries’ actors to use this decision-making support tool.



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