The objective of this article was to find a location of a new facility on a network so that the total number (weight) of nodes within a prespecified distance R is minimized. This problem is applicable when locating an obnoxious facility such as garbage dumps, nuclear reactors, prisons, and military
Discrete facility location and routing of obnoxious activities
β Scribed by P. Cappanera; G. Gallo; F. Maffioli
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 219 KB
- Volume
- 133
- Category
- Article
- ISSN
- 0166-218X
No coin nor oath required. For personal study only.
β¦ Synopsis
The problem of simultaneously locating obnoxious facilities and routing obnoxious materials between a set of built-up areas and the facilities is addressed.
Obnoxious facilities are those facilities which cause exposure to people as well as to the environment i.e. dump sites, chemical industrial plants, electric power supplier networks, nuclear reactors and so on. A discrete combined location-routing model, which we refer to as Obnoxious Facility Location and Routing model (OFLR), is deΓΏned. OFLR is a NP-hard problem for which a Lagrangean heuristic approach is presented. The Lagrangean relaxation proposed allows to decompose OFLR into a Location subproblem and a Routing subproblem; such subproblems are then strengthened by adding suitable inequalities. Based on this Lagrangean relaxation two simple Lagrangean heuristics are provided. An e ective Branch and Bound algorithm is then presented, which aims at reducing the gap between the above mentioned lower and upper bounds. Our Branch and Bound exploits the information gathered while going down in the enumeration tree in order to solve e ciently the subproblems related to other nodes. This is accomplished by using a bundle method to solve at each node the Lagrangean dual. Some variants of the proposed Branch and Bound method are deΓΏned in order to identify the best strategy for di erent classes of instances. A comparison of computational results relative to these variants is presented.
π SIMILAR VOLUMES
This paper considers the problem of locating a central facility on a tree network. The central facility takes the form of a subtree of the network and provides service to several demand points located at the nodes of the network. Two types of costs are involved in evaluating a given facility selecti