An exact solution approach for the inventory routing problem with time windows

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Özbaygın, Gizem and Koca, Esra and Yaman, Hande (2021) (18 February 2021) An exact solution approach for the inventory routing problem with time windows. [Dataset]

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Abstract

The inventory routing problem (IRP) is an integrated inventory and transportation planning problem that jointly determines the replenishment schedules for a given set of retailers, and the routing decisions for a supplier that distributes a product to the retailers over a finite planning horizon typically consisting of multiple periods. In the classical IRP, retailers are assumed to accept deliveries at any time during a given period. However, this assumption does not always hold in practice. Although the supplier is the central decision maker, the retailers may also have operational restrictions preventing them from receiving deliveries at arbitrary times. With this motivation, we study the IRP with time windows and develop an exact algorithm to solve it. In particular, we propose a formulation and a branch-price-and-cut algorithm, which, to the best of our knowledge, is the first exact approach specifically designed for solving the IRPTW. Our formulation involves both arc and route based variables to obtain an easier structure in the pricing problems. We use valid inequalities --originally derived for the lot sizing problem-- to strengthen our formulation. The results of a computational study conducted on a set of newly generated benchmark instances demonstrate the effectiveness of our algorithm, which is capable of identifying optimal or fairly good solutions to medium and large problem instances in reasonable computation times.
Item Type: Dataset
Uncontrolled Keywords: Inventory Routing Problem with Time Windows
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering
Faculty of Engineering and Natural Sciences
Depositing User: Esra Koca
Date Deposited: 22 Feb 2021 09:26
Last Modified: 26 Apr 2022 09:01
URI: https://research.sabanciuniv.edu/id/eprint/41330

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