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- W3201577700 abstract "We consider a finite horizon Inventory Routing Problem in which the vendor monitors the inventory at the retailers and makes replenishment decisions for them. A single vendor manages several retailers who face deterministic but dynamic demands. The vendor decides the delivery schedule, delivery quantities, and vehicle routes that minimize the total supply chain cost. For practical purposes, we assume that split deliveries to a retailer are not allowed and that the backorders are allowed at the retailers. Two mixed integer linear programming models are proposed to solve the specified Inventory Routing Problem (IRP). Since IRP is NP-hard, two heuristics are also developed for the same problem. Numerical experiments were conducted on randomly generated data instances to evaluate the proposed models. The numerical study reveals that the proposed models are computationally efficient. We observed that the optimality gap of the solutions from the mathematical models was no more than 3% in all the tested cases. We also show that the proposed heuristics provide consistent near-optimal solutions. The proposed models and heuristics could serve as efficient decision-making tools to help supply chain managers make quick tactical level decisions." @default.
- W3201577700 created "2021-09-27" @default.
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- W3201577700 date "2021-01-01" @default.
- W3201577700 modified "2023-09-26" @default.
- W3201577700 title "Mathematical Models and Heuristics for an Inventory Routing Problem Without Split Deliveries" @default.
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- W3201577700 doi "https://doi.org/10.1007/978-981-16-2774-3_3" @default.
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