Optimization of Industrial Production Planning with uncertain raw Material Supply

Farizal, Sucipto, Amar Rachman

Research output: Contribution to conferencePaperpeer-review

Abstract

This study discusses the optimization model ofindustrial production planning in patchouli oil derivatives industry. Production planning always deals with uncertain demand. This industry, as addition, is also characterized with uncertain raw material supply. Taking those issues into consideration, the objective of this optimization model is to minimize the production cost, carrying, and backlogging costs. For the purpose.the forecasting methods used is moving averages method through software Oracle Crystall Ball while the linear programming model was optimized by Lingo software. The result shows that the model can streamline 19.09% of the actual conditions in the absence of planning. In addition, further analysis of efficiency can also be done by raising the purchase price of raw materials less than 1,67% if supplying to be under certainty
Original languageEnglish
Publication statusPublished - 2017
EventThe 15th International Conference on Quality in Research (QiR 2017) - ID, Bali, Indonesia
Duration: 1 Jan 2018 → …

Conference

ConferenceThe 15th International Conference on Quality in Research (QiR 2017)
Country/TerritoryIndonesia
CityBali
Period1/01/18 → …

Keywords

  • Optimization, production planning, production costs, forecasting, uncertain supply

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