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Information 2017, 8(4), 158; doi:10.3390/info8040158

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

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5,*
1
School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China
2
National Experimental Teaching Demonstration Center of Petrochemical Process Control, Liaoning Shihua University, Fushun 113001, China
3
State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China
4
Zhejiang Supcon Software Co., Ltd., Hangzhou 310053, China
5
School of Innovation and Entrepreneurship, Shenzhen Polytechnic, Shenzhen 518055, China
*
Author to whom correspondence should be addressed.
Received: 26 October 2017 / Revised: 25 November 2017 / Accepted: 27 November 2017 / Published: 18 December 2017
View Full-Text   |   Download PDF [1191 KB, uploaded 18 December 2017]   |  

Abstract

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. View Full-Text
Keywords: uncertainty; cyber-physical system; fuzzy; utility; production rate uncertainty; cyber-physical system; fuzzy; utility; production rate
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Wang, Y.; Jin, X.; Xie, L.; Zhang, Y.; Lu, S. Uncertain Production Scheduling Based on Fuzzy Theory Considering Utility and Production Rate. Information 2017, 8, 158.

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