In this paper, a special case of inventory routing problem, in which a distribution centre as the supplier distributes a single product to a set of sales-points using economic order quantity policy to manage inventories, is investigated. A fleet of homogeneous vehicles, each with a given capacity, is available for delivery of inventory to the sales-points served by a vehicle in a cyclical manner in such a way that at no moment a stock-out occurs. Demand rates at the sales-points are constant and known to the supplier. The proposed model in this paper extends the concept of vehicle multi-tours considering the inventory costs of the supplier; in other words, the objective is to minimise total ordering and inventory holding costs of the supplier coordinately with fleet operating, sales-points inventory holding and distribution costs during a given planning horizon. The frequency and routes by which each sales-point is to be served and the type of vehicles for this purpose are determined by this model. We have developed a tabu search-based heuristic to solve the problem. Because of the novelty of the model, a set of numerical examples is designed and solved in order to assess the performance of the model.
A tabu search-based heuristic for a new capacitated cyclic inventory routing problem
2014-07-04
oai:zenodo.org:3888583
International Journal of Mathematics in Operational Research 6(4) 491-504
Article (Journal)
Electronic Resource
English
Vehicle multi-tours , Inventory-routing , Economic order quantity , Tabu search , Operational research , Closed-loop supply chain network design , Competitive location , Contract design , Facility disruptions , Fuzzy logic , Genetic Algorithm , Heuristic algorithm , Location-allocation problem , Lost sales , Maximal covering location problem , Multi-echelon , NSGA-II , Quota allocation , SCOR , Social responsibility , Supplier selection , Supply chain management , Sustainable supply chain network design , Vendor Managed Inventory
DDC: | 629 |
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