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A map-based decision-support system for delivery planning

A map-based decision-support system for delivery planning This paper describes a project to develop a map-based decision-support system for delivery planning in Hong Kong. The system consists of several components, including a map-based interface, bilingual database storing the information of maps and deliveries and some decision support tools for planning the routes of the delivery vehicles in a feasible and cost-effective way. In this paper, we describe (1) the features of the system, (2) the underlying network representation used and (3) two decision-support models, a Time-varying Constrained Shortest Path (TCSP) problem and a Time-dependent Vehicle Routing Problem with Time Windows (TVRPTW) and their corresponding algorithms which have been incorporated into the system. We hope this paper will provide some insights on the techniques and challenges of developing such delivery planning systems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1741-539X
eISSN
1741-5403
Publisher site
See Article on Publisher Site

Abstract

This paper describes a project to develop a map-based decision-support system for delivery planning in Hong Kong. The system consists of several components, including a map-based interface, bilingual database storing the information of maps and deliveries and some decision support tools for planning the routes of the delivery vehicles in a feasible and cost-effective way. In this paper, we describe (1) the features of the system, (2) the underlying network representation used and (3) two decision-support models, a Time-varying Constrained Shortest Path (TCSP) problem and a Time-dependent Vehicle Routing Problem with Time Windows (TVRPTW) and their corresponding algorithms which have been incorporated into the system. We hope this paper will provide some insights on the techniques and challenges of developing such delivery planning systems.

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2007

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