Home > Research > Publications & Outputs > Feasibility in transportation networks with sup...
View graph of relations

Feasibility in transportation networks with supply eating arcs

Research output: Contribution to journalJournal articlepeer-review

Published

Standard

Feasibility in transportation networks with supply eating arcs. / Dye, Shane; Tomasgard, Asgeir; Wallace, Stein W.

In: Networks, Vol. 31, No. 3, 05.1998, p. 165-176.

Research output: Contribution to journalJournal articlepeer-review

Harvard

APA

Vancouver

Author

Dye, Shane ; Tomasgard, Asgeir ; Wallace, Stein W. / Feasibility in transportation networks with supply eating arcs. In: Networks. 1998 ; Vol. 31, No. 3. pp. 165-176.

Bibtex

@article{59f5fdea9d544efdb6e5ef771a34ca3a,
title = "Feasibility in transportation networks with supply eating arcs",
abstract = "In this paper, we consider a special case of a new type of mixed integer programming problem: the Transportation Network with Supply Eating Arcs. This problem arises from an application in intelligent [telecommunications] networks (IN). It contains within its definition many classical mixed integer programming problems. The problem is defined as a transportation network with an additional condition. For an arc to have positive flow, the node capacity of its originating node (i.e., a supply node) is decreased by a fixed amount depending on the arc. The special case that we consider is where this fixed amount is solely dependent on the demand node to which the arc is incident. In studying this problem, we are mainly interested in the feasibility of such problems and focus our attention on this aspect here. We discuss why finding a feasible solution is potentially difficult as well as various methods for finding one. In particular, we describe a set of solutions (in terms of solution structure) that always contains a feasible solution, if one exists. We then describe a method for finding a feasible solution based on enumerating this set. The main advantage of the solution procedure is that at no time do we need to explicitly solve an LP (or even a transportation problem).",
author = "Shane Dye and Asgeir Tomasgard and Wallace, {Stein W}",
year = "1998",
month = may,
doi = "10.1002/(SICI)1097-0037(199805)31:3<165::AID-NET3>3.0.CO;2-D",
language = "English",
volume = "31",
pages = "165--176",
journal = "Networks",
issn = "0028-3045",
publisher = "Blackwell-Wiley",
number = "3",

}

RIS

TY - JOUR

T1 - Feasibility in transportation networks with supply eating arcs

AU - Dye, Shane

AU - Tomasgard, Asgeir

AU - Wallace, Stein W

PY - 1998/5

Y1 - 1998/5

N2 - In this paper, we consider a special case of a new type of mixed integer programming problem: the Transportation Network with Supply Eating Arcs. This problem arises from an application in intelligent [telecommunications] networks (IN). It contains within its definition many classical mixed integer programming problems. The problem is defined as a transportation network with an additional condition. For an arc to have positive flow, the node capacity of its originating node (i.e., a supply node) is decreased by a fixed amount depending on the arc. The special case that we consider is where this fixed amount is solely dependent on the demand node to which the arc is incident. In studying this problem, we are mainly interested in the feasibility of such problems and focus our attention on this aspect here. We discuss why finding a feasible solution is potentially difficult as well as various methods for finding one. In particular, we describe a set of solutions (in terms of solution structure) that always contains a feasible solution, if one exists. We then describe a method for finding a feasible solution based on enumerating this set. The main advantage of the solution procedure is that at no time do we need to explicitly solve an LP (or even a transportation problem).

AB - In this paper, we consider a special case of a new type of mixed integer programming problem: the Transportation Network with Supply Eating Arcs. This problem arises from an application in intelligent [telecommunications] networks (IN). It contains within its definition many classical mixed integer programming problems. The problem is defined as a transportation network with an additional condition. For an arc to have positive flow, the node capacity of its originating node (i.e., a supply node) is decreased by a fixed amount depending on the arc. The special case that we consider is where this fixed amount is solely dependent on the demand node to which the arc is incident. In studying this problem, we are mainly interested in the feasibility of such problems and focus our attention on this aspect here. We discuss why finding a feasible solution is potentially difficult as well as various methods for finding one. In particular, we describe a set of solutions (in terms of solution structure) that always contains a feasible solution, if one exists. We then describe a method for finding a feasible solution based on enumerating this set. The main advantage of the solution procedure is that at no time do we need to explicitly solve an LP (or even a transportation problem).

U2 - 10.1002/(SICI)1097-0037(199805)31:3<165::AID-NET3>3.0.CO;2-D

DO - 10.1002/(SICI)1097-0037(199805)31:3<165::AID-NET3>3.0.CO;2-D

M3 - Journal article

VL - 31

SP - 165

EP - 176

JO - Networks

JF - Networks

SN - 0028-3045

IS - 3

ER -