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The traveling salesman problem with pickups, deliveries and handling costs

The traveling salesman problem with pickups, deliveries and handling costs
The traveling salesman problem with pickups, deliveries and handling costs
This paper introduces a new variant of the one-to-many-to-one single vehicle pickup and delivery problems (SVPDP) that incorporates the handling cost incurred when rearranging the load at the customer locations. The simultaneous optimization of routing and handling costs is difficult, and the resulting loading patterns are hard to implement in practice. However, this option makes economical sense in contexts where the routing cost dominates the handling cost. We have proposed some simplified policies applicable to such contexts. The first is a two-phase heuristic in which the tour having minimum routing cost is initially determined by optimally solving an SVPDP, and the optimal handling policy is then determined for that tour. In addition, branch-and-cut algorithms based on integer linear programming formulations are proposed, in which routing and handling decisions are simultaneously optimized, but the handling decisions are restricted to three simplified policies. The formulations are strengthened by means of problem specific valid inequalities. The proposed methods have been extensively tested on instances involving up to 25 customers and hundreds of items. Our results show the impact of the handling aspect on the customer sequencing and indicate that the simplified handling policies favorably compare with the optimal one
0041-1655
383-399
Battarra, Maria
0498dc58-e9d5-4ad2-a141-040f7bcebbc2
Erdogan, Gunes
468310a1-5c36-4c3d-8b39-079bd621b34b
Laporte, Gilbert
b8210b8f-e942-4c5c-98b1-b55bd916aa70
Vigo, Daniele
0bc6db04-0bff-438e-91ca-947171d0604e
Battarra, Maria
0498dc58-e9d5-4ad2-a141-040f7bcebbc2
Erdogan, Gunes
468310a1-5c36-4c3d-8b39-079bd621b34b
Laporte, Gilbert
b8210b8f-e942-4c5c-98b1-b55bd916aa70
Vigo, Daniele
0bc6db04-0bff-438e-91ca-947171d0604e

Battarra, Maria, Erdogan, Gunes, Laporte, Gilbert and Vigo, Daniele (2010) The traveling salesman problem with pickups, deliveries and handling costs. Transportation Science, 44 (3), 383-399. (doi:10.1287/trsc.1100.0316).

Record type: Article

Abstract

This paper introduces a new variant of the one-to-many-to-one single vehicle pickup and delivery problems (SVPDP) that incorporates the handling cost incurred when rearranging the load at the customer locations. The simultaneous optimization of routing and handling costs is difficult, and the resulting loading patterns are hard to implement in practice. However, this option makes economical sense in contexts where the routing cost dominates the handling cost. We have proposed some simplified policies applicable to such contexts. The first is a two-phase heuristic in which the tour having minimum routing cost is initially determined by optimally solving an SVPDP, and the optimal handling policy is then determined for that tour. In addition, branch-and-cut algorithms based on integer linear programming formulations are proposed, in which routing and handling decisions are simultaneously optimized, but the handling decisions are restricted to three simplified policies. The formulations are strengthened by means of problem specific valid inequalities. The proposed methods have been extensively tested on instances involving up to 25 customers and hundreds of items. Our results show the impact of the handling aspect on the customer sequencing and indicate that the simplified handling policies favorably compare with the optimal one

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More information

e-pub ahead of print date: 18 March 2010
Published date: August 2010
Organisations: Centre of Excellence for International Banking, Finance & Accounting

Identifiers

Local EPrints ID: 204821
URI: http://eprints.soton.ac.uk/id/eprint/204821
ISSN: 0041-1655
PURE UUID: 5fd4ca4f-a73c-4afc-9fd9-baa48ba07ddf

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Date deposited: 02 Dec 2011 10:18
Last modified: 14 Mar 2024 04:32

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Contributors

Author: Maria Battarra
Author: Gunes Erdogan
Author: Gilbert Laporte
Author: Daniele Vigo

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