| contributor author | Liu, Qiong | |
| contributor author | Tian, Youquan | |
| contributor author | Wang, Chao | |
| contributor author | Chekem, Freddy O. | |
| contributor author | Sutherland, John W. | |
| date accessioned | 2019-02-28T11:02:34Z | |
| date available | 2019-02-28T11:02:34Z | |
| date copyright | 3/13/2018 12:00:00 AM | |
| date issued | 2018 | |
| identifier issn | 1087-1357 | |
| identifier other | manu_140_06_061006.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4252022 | |
| description abstract | 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. Nondominated 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Flexible Job-Shop Scheduling for Reduced Manufacturing Carbon Footprint | |
| type | Journal Paper | |
| journal volume | 140 | |
| journal issue | 6 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.4037710 | |
| journal fristpage | 61006 | |
| journal lastpage | 061006-9 | |
| tree | Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 006 | |
| contenttype | Fulltext | |
