A Bi-Objective Vehicle-Routing Problem for Optimization of a Bioenergy Supply Chain by Using NSGA-II Algorithm | ||
| Journal of Quality Engineering and Production Optimization | ||
| مقاله 6، دوره 5، شماره 1، شهریور 2020، صفحه 87-102 اصل مقاله (897.41 K) | ||
| نوع مقاله: 15th IIEC conference selected papers | ||
| شناسه دیجیتال (DOI): 10.22070/jqepo.2020.3650.1079 | ||
| نویسندگان | ||
| Masoud Rabbani* 1؛ Niloofar Akbarian-Saravi2؛ Mahdokht Ansari3؛ MirMohammad Musavi2 | ||
| 1School of Industrial Engineering, College of Engineering, University of Tehran | ||
| 2School of industrial engineering, College of Engineering, University of Tehran, Tehran, Iran | ||
| 3School of Industrial Engineering, College of Engineering, University of Tehran,Tehran, Iran | ||
| چکیده | ||
| In this paper, we develop a multi-period mathematical model involving economic and environmental considerations. A vehicle-routing problem is considered an essential matter due to decreasing the routing cost, especially in the concerned bioenergy supply chain. A few of the optimization model recognized the vehicle routing to design the bioenergy supply chain. In this study, a bi-objective mixed-integer linear programming (MILP) model is presented. The economic objective function minimizes the transportation, capacity expanding, fixed and variable costs, and the locating routing cost in this problem. The proposed bi-objective model is solved through a Non-Dominated Genetic Algorithm (NSGA- II). Furthermore, the small-sized problem is solved by the CPLEX solver and augmented ɛ-constraint method. | ||
| کلیدواژهها | ||
| Bi-objective optimization؛ Mixed-integer linear programming؛ Bioenergy supply chain؛ Non-dominated genetic algorithm (NSGA- II) | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 798 تعداد دریافت فایل اصل مقاله: 619 |
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