Joint Energy, Maintenance, and Throughput Modeling for Sustainable Manufacturing Systems
Abstract
With increasing concerns on climate change and energy shortage, manufacturing industries must adopt more sustainable production and facility control strategies. Such strategies require operational practices that emphasize sustainability by considering economic, energy, and environmental aspects simultaneously. In this paper, a new combined production scheduling model that jointly considers energy control and maintenance implementation to address the concerns of energy consumption, intelligent maintenance, and throughput improvement simultaneously is proposed. Multiple measures are combined and evaluated using a single objective, i.e., cost minimization. Particle swarm optimization, with a local optimal avoidable mechanism and a time varying inertial weight, is used to solve the cost minimization problem to find a near optimal solution of production and maintenance schedules. A numerical case study is implemented and the results show that the cost per unit production can be reduced up to 27% compared to the existing benchmark strategies. The implications to practitioners with respect to the tradeoff between cost and throughput/energy consumption, and the model applicability considering energy tariff structure, are also discussed to provide more insights for using the proposed joint model in the real world. The proposed model advances the state-of-the-art on maintenance and energy scheduling, which is typically performed exclusively. It is expected to guide operational activities on shop floors toward sustainability.
Recommended Citation
Z. Sun et al., "Joint Energy, Maintenance, and Throughput Modeling for Sustainable Manufacturing Systems," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 6, pp. 2101 - 2112, Institute of Electrical and Electronics Engineers (IEEE), Jun 2020.
The definitive version is available at https://doi.org/10.1109/TSMC.2018.2799740
Department(s)
Engineering Management and Systems Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Energy Consumption; Energy Consumption; Intelligent Maintenance; Job Shop Scheduling; Maintenance Engineering; Manufacturing Systems; Production Scheduling; Sustainable Manufacturing; Throughput
International Standard Serial Number (ISSN)
2168-2216; 2168-2232
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jun 2020
Comments
This work was supported by the Research Project of State Key Laboratory of Mechanical System and Vibration in China under Grant MSV201614.