In order to help manufacturing companies quantify and reduce product carbon footprints in a mixed model manufacturing system, a product carbon footprint oriented multi-objective flexible job-shop scheduling optimization model is proposed. The production portion of the product carbon footprint, based on the mapping relations between products and the carbon emissions within the manufacturing system, is proposed to calculate the product carbon footprint in the mixed model manufacturing system. Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) is adopted to solve the proposed model. In order to help decision makers to choose the most suitable solution from the Pareto set as its execution solution, a method based on grades of product carbon footprints is proposed. Finally, the efficacy of the proposed model and algorithm are examined via a case study.
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ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
June 4–8, 2017
Los Angeles, California, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-5075-6
PROCEEDINGS PAPER
Flexible Job-Shop Scheduling for Reduced Manufacturing Carbon Footprint Available to Purchase
Qiong Liu,
Qiong Liu
Huazhong University of Science and Technology, Wuhan, China
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Youquan Tian,
Youquan Tian
Huazhong University of Science and Technology, Wuhan, China
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Chao Wang,
Chao Wang
Beijing Jiaotong University, Beijing, China
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Freddy O. Chekem,
Freddy O. Chekem
Huazhong University of Science and Technology, Wuhan, China
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John W. Sutherland
John W. Sutherland
Purdue University, West Lafayette, IN
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Qiong Liu
Huazhong University of Science and Technology, Wuhan, China
Youquan Tian
Huazhong University of Science and Technology, Wuhan, China
Chao Wang
Beijing Jiaotong University, Beijing, China
Freddy O. Chekem
Huazhong University of Science and Technology, Wuhan, China
John W. Sutherland
Purdue University, West Lafayette, IN
Paper No:
MSEC2017-2630, V004T05A023; 13 pages
Published Online:
July 24, 2017
Citation
Liu, Q, Tian, Y, Wang, C, Chekem, FO, & Sutherland, JW. "Flexible Job-Shop Scheduling for Reduced Manufacturing Carbon Footprint." Proceedings of the ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. Volume 4: Bio and Sustainable Manufacturing. Los Angeles, California, USA. June 4–8, 2017. V004T05A023. ASME. https://doi.org/10.1115/MSEC2017-2630
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