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Uncertain Production Scheduling Based on Fuzzy Theory Considering Utility and Production Rate

By Yue Wang, Xin Jin, Lei Xie, Yanhui Zhang and Shan Lu


Handling uncertainty in an appropriate manner during the real operation of a cyber-physical system (CPS) is critical. Uncertain production scheduling as a part of CPS uncertainty issues should attract more attention. In this paper, a Mixed Integer Nonlinear Programming (MINLP) uncertain model for batch process is formulated based on a unit-specific event-based continuous-time modeling method. Utility uncertainty and uncertain relationship between production rate and utility supply are described by fuzzy theory. The uncertain scheduling model is converted into deterministic model by mathematical method. Through one numerical example, the accuracy and practicability of the proposed model is proved. Fuzzy scheduling model can supply valuable decision options for enterprise managers to make decision more accurate and practical. The impact and selection of some key parameters of fuzzy scheduling model are elaborated

Topics: uncertainty, cyber-physical system, fuzzy, utility, production rate, Information technology, T58.5-58.64
Publisher: MDPI AG
Year: 2017
DOI identifier: 10.3390/info8040158
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