Selection of circulatory loops for patrol vehicles operating in a network

Authors
Citation
Ch. Hu et Pj. Egbelu, Selection of circulatory loops for patrol vehicles operating in a network, INT J PROD, 39(4), 2001, pp. 579-601
Citations number
13
Categorie Soggetti
Engineering Management /General
Journal title
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
ISSN journal
00207543 → ACNP
Volume
39
Issue
4
Year of publication
2001
Pages
579 - 601
Database
ISI
SICI code
0020-7543(200103)39:4<579:SOCLFP>2.0.ZU;2-J
Abstract
Many applications exist in which a vehicle or set of vehicles have the resp onsibility of patrolling and providing coverage over a wide area or network for the purpose of responding quickly to service requests generated random ly at demand points in the network. One of the decisions in the operation o f such patrol vehicles is that of determining the home location or circulat ory loop for free or idle vehicles. A vehicle is said to be idle if it is n ot responding or attending to a service request. Such home location can be a point, a set of points in a network, a circulatory loop, or a set of circ ulatory loops in the network. The actual number of home locations is system , fleet size, and analyst dependent. Whether a point or loop strategy is im plemented, the specification of the home locations or loops is usually done with the objective of improving the response time of idle vehicles to serv ice requests originating from demand stations. In cases where circulatory l oop strategy is adopted, the problem is one of determining the best overall circulatory loop or loops that would improve the overall system response t ime. In a typical conventional or generalized network, several loops may ex ist. Unless a systematic procedure is developed, non-optimal loops could be selected. In this paper, methodologies for determining the best circulator y loops for patrol vehicles for a given problem scenario in both unidirecti onal and bidirectional networks are presented. The problem is modelled as a mathematical programming problem. Example problems are given to illustrate the application of the approach. The criterion for optimization is the min imization of the maximum system response time.