A mathematical model for scheduling of transportation, routing, and cross-docking in the reverse logistics network of the green supply chain | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 12، شماره 2، بهمن 2021، صفحه 1909-1927 اصل مقاله (610.3 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5325 | ||
| نویسندگان | ||
| Seyyed mohammad Tabatabaei1؛ Mohammadreza Safi* 2؛ Mohsen Shafiei Nikabadi1 | ||
| 1Faculty of Economics and Management, Semnan University, Semnan, Iran | ||
| 2Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran | ||
| چکیده | ||
| Cross-docking refers to the practices of unloading materials from inbound vehicles and then loading them directly into outbound ones. Removing or minimizing warehousing costs, space requirements, as well as inventory utilization, cross-docking simplifies supply chains and makes them deliver goods to markets in a faster and more efficient manner. Accordingly, a mixed-integer linear programming ($MILP $) model is developed in the present study to schedule transportation routing and cross-docking in a reverse logistics network ($RLN$). Furthermore, different traffic modes are also considered to reduce fuel consumption, which reduces emissions and pollution. The proposed model is a multi-product, multi-stage, and non-deterministic polynomial-time that is an NP-hard problem. We use the non-dominated sorting genetic algorithm II ($NSGA-II$) to solve the model. A numerical example has been solved to illustrate the efficiency of the method. | ||
| کلیدواژهها | ||
| Cross-Dock Scheduling؛ Transportation Routing؛ Inverse Logistics Network؛ Mathematical Modeling؛ Green Supply Chain | ||
| مراجع | ||
|
| ||
|
آمار تعداد مشاهده مقاله: 16,957 تعداد دریافت فایل اصل مقاله: 10,469 |
||
| تعداد نشریات | 22 |
| تعداد شمارهها | 720 |
| تعداد مقالات | 10,356 |
| تعداد مشاهده مقاله | 72,718,473 |
| تعداد دریافت فایل اصل مقاله | 64,346,332 |