Detail Publikasi
Edisi: Vol 3, No 6 (2022)
ISSN: 2660-5317

Abstrak

Despite the great progress in improvement methodologies, modernity may be a precedent for this progress. Actually, on the supply chain management scenario the decision-making becomes more challenging especially that various sources of model uncertainty are required to ensure the quality of the solution or even practical feasibility. Therefore, one of the most pressing problems today is incorporating variability in process parameters such as manufacturing time and reaction conditions. In this paper, some interactive methods are summarized that modify the actual plan obtained from the authoritative version of the system to correspond to the modifications or updated system data. Finally, the methods of dealing with problems were divided into two main approaches, the reactive approach and the preventive approach.

Kata Kunci
Robust optimization Model Predictive Control Stochastic Programming Fuzzy programming methods Rolling-horizon approach
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