Abstract
This paper develops an integrated single-vendor multi-buyer inventory-transportation synchronized supply chain model. In this paper, the decisions of truck assignment and routing are also considered and as a result, a series of vehicle routing problems (VRP) are required to be solved. Due to the highly complicated objective function and the NP-hard VRP problems, the problem cannot be solved analytically. Hence, meta-heuristics are proposed. By means of the numerical examples and a case study, the meta-heuristics developed are shown to be very effective in solving such comprehensive supply chain models, and the results so obtained are promising.
Original language | English |
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Pages (from-to) | 68-89 |
Number of pages | 22 |
Journal | Transportation Research Part E: Logistics and Transportation Review |
Volume | 91 |
DOIs | |
Publication status | Published - 1 Jul 2016 |
Keywords
- Adaptive large neighborhood search
- Genetic algorithm
- Inventory-transportation
- Simulated annealing
- Supply chain management
- Vehicle routing
ASJC Scopus subject areas
- Business and International Management
- Civil and Structural Engineering
- Transportation