This article studies the pickup and delivery traveling salesman problem with multiple stacks. The vehicle contains a number of (horizontal) stacks of finite capacity for loading items from the rear of the vehicle. Each stack must satisfy the last-in-first-out constraint that states that any new item
Models and branch-and-cut algorithms for pickup and delivery problems with time windows
✍ Scribed by Stefan Ropke; Jean-François Cordeau; Gilbert Laporte
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 175 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0028-3045
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✦ Synopsis
Abstract
In the pickup and delivery problem with time windows (PDPTW), capacitated vehicles must be routed to satisfy a set of transportation requests between given origins and destinations. In addition to capacity and time window constraints, vehicle routes must also satisfy pairing and precedence constraints on pickups and deliveries. This paper introduces two new formulations for the PDPTW and the closely related dial‐a‐ride problem (DARP) in which a limit is imposed on the elapsed time between the pickup and the delivery of a request. Several families of valid inequalities are introduced to strengthen these two formulations. These inequalities are used within branch‐and‐cut algorithms which have been tested on several instance sets for both the PDPTW and the DARP. Instances with up to eight vehicles and 96 requests (194 nodes) have been solved to optimality. © 2007 Wiley Periodicals, Inc. NETWORKS, Vol. 49(4), 258–272 2007
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