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Energy Modeling and Simulation of Flexible Manufacturing Systems Based on Colored Timed Petri Nets
Author(s) -
Wang Qiulian,
Wang Xianglian,
Yang Suihong
Publication year - 2014
Publication title -
journal of industrial ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.377
H-Index - 102
eISSN - 1530-9290
pISSN - 1088-1980
DOI - 10.1111/jiec.12180
Subject(s) - petri net , computer science , energy consumption , colored , flexible manufacturing system , energy (signal processing) , task (project management) , machining , industrial engineering , distributed computing , scheduling (production processes) , real time computing , simulation , operations management , systems engineering , engineering , materials science , statistics , mathematics , electrical engineering , composite material , mechanical engineering
Summary Increasing pressures from a variety of directives and standards have caused manufacturing enterprises to consider and implement energy assessment and energy performance goals—to improve both their economic and their environmental performance. Flexible manufacturing systems (FMSs) pose a challenge for energy management because of their complexity and the difficulty of data collection. FMSs allow manufacturers to adjust to customers’ requirements and meet changing demands, which makes it possible for manufacturers to respond quickly to the market. To address this challenge, a practical energy model for machining systems based on colored timed Petri nets (CTPNs) is proposed. In this article, the energy consumption of FMS are first analyzed. Then, an energy model of FMSs based on CTPNs is proposed in which the uncertainty of task assignment and volatility of operation time are treated by Petri net (PN) functions so that data on the consumption of FMSs can be collected automatically. Finally, through the case study of an FMS with two jobs, the proposed energy model is simulated and the simulation results with colored PN tools are shown to be significant in practice.