Bi-objective freight scheduling optimization in an integrated forward/reverse logistic network using non-dominated sorting genetic algorithm-II
imultaneous products distribution and items retrieval in an integrated forward/reverse logistics network faces a complex freight-scheduling problem due to the constraints involved. In the high to intermediate network level, the problem usually exists in the form of single stop transportation. To rea...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Growing Science
2019-01-01
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| Series: | Decision Science Letters |
| Subjects: | |
| Online Access: | http://www.growingscience.com/dsl/Vol9/dsl_2019_18.pdf |
| Summary: | imultaneous products distribution and items retrieval in an integrated forward/reverse logistics network faces a complex freight-scheduling problem due to the constraints involved. In the high to intermediate network level, the problem usually exists in the form of single stop transportation. To reach a higher level of performances, there is a need to model and optimize the freight schedule. This research proposes a model to optimize a freight-scheduling problem. The proposed model of this paper based on Non-dominated sorting genetic algorithm-II is formulated to solve a conflicting bi-objective optimization and optimizes a real-world case study. A solution from the model demonstrates the solution interpretation in the form of delivery schedule, distribution as well as retrieval route, and vehicle assignment. Moreover, the solutions are also comparable to some current manual solution by its similarity. The results show that the model was capable of generating feasible solutions while satisfying all of its constraints. |
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| ISSN: | 1929-5804 1929-5812 |