Production Decision Support System for Batch Processes

Authors

  • L.P. Chee Process Systems Engineering Centre (PROSPECT), Research Institute of Sustainable Environment, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
  • S.R. Wan Alwi Faculty of Chemical & Energy Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
  • J.S Lim Faculty of Chemical & Energy Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia

Keywords:

production decision support system (PDSS), pinch analysis, grand composite curve (GCC), aggregate planning, tactical planning, capacity planning

Abstract

Aggregate planning acts as a blueprint for all operational planning activities. Despite the substantial amount of research that has been done in determining methods to improve aggregate planning approaches, the industry is still at a loss when it comes to working on the tactical planning aspect, especially in aggregate production. Therefore, this research work aims to present a comprehensive and generalised framework that will formulate a realistic batch production environment using an interactive Production Decision Support System. This system consists of an aggregate planning framework that combines a simulation model and a Pinch Analysis graphical approach to improve the effectiveness and efficiency of the decision-making process. The target is to allow operational opportunities to be captured at first sight and thus, maximise organisational profit. The simplicity and practicality of this new Production Decision Support System is demonstrated through two illustrative examples where a total of four heuristics were identified and turned into the new strategies to avoid the stock-out scenarios.

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Published

2020-12-07

How to Cite

Chee, L. ., Wan Alwi, S. ., & Lim, . J. . (2020). Production Decision Support System for Batch Processes. Journal of Advanced Research in Applied Sciences and Engineering Technology, 5(1), 7–21. Retrieved from https://www.akademiabaru.com/submit/index.php/araset/article/view/1906
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