Abstract
In this paper, we study an inventory routing problem under replenishment lead-time and inventory inaccuracy, which exist extensively in distribution systems for fresh products, but are often ignored in existing research. To solve the problem, a robust inventory routing policy is developed in three steps. At first, we propose the methods of updating the probability of the current net inventory and predicting those in future periods. For each candidate route, we develop a Robust TQL Algorithm to optimize the replenishment time, replenishment quantity and replenishment stage length. Finally, a genetic algorithm-based method is developed to optimize the delivery route.
Original language | English |
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Pages (from-to) | 290-305 |
Number of pages | 16 |
Journal | Transportation Research Part E: Logistics and Transportation Review |
Volume | 91 |
DOIs | |
Publication status | Published - 1 Jul 2016 |
Keywords
- Inventory inaccuracy
- Inventory routing
- Robust policy
ASJC Scopus subject areas
- Business and International Management
- Transportation
- Management Science and Operations Research