A Heuristic Methodology for Solving Spatial a Resource-Constrained Project Scheduling Problems

33 Pages Posted: 1 Feb 2008

See all articles by Eline De Frene

Eline De Frene

KU Leuven

Damien Schatteman

affiliation not provided to SSRN

Willy Herroelen

Catholic University of Leuven (KUL)

Stijn Van de Vonder

KU Leuven - Faculty of Business and Economics (FEB)

Date Written: June 2007

Abstract

In this paper we present a heuristic methodology for solving resource-constrained project scheduling problems with renewable and spatial resources. We especially concentrate on spatial resources that are encountered in construction projects, but our analysis can easily be generalized to other sectors. Our methodology is based on the application of a schedule generation scheme on apriority list of activities. We explain why the parallel schedule generation scheme is not applicable for projects with spatial resources. We introduce a procedure for transforming priority lists into precedence and resource feasible lists that avoid deadlocks on the spatial resources. We conclude from a computational experiment on two sets of instances that priority rules performing well for the regular resource-constrained project scheduling problem also perform well in the presence of spatial resources and allow to effectively solve large problems in very short CPU time.

Keywords: Construction, Resource-constrained project scheduling, Spatial resources, Heuristic, Project scheduling, Scheduling, Problems, Sector, Rules, Time

Suggested Citation

De Frene, Eline and Schatteman, Damien and Herroelen, Willy and Van de Vonder, Stijn, A Heuristic Methodology for Solving Spatial a Resource-Constrained Project Scheduling Problems (June 2007). Available at SSRN: https://ssrn.com/abstract=1089355 or http://dx.doi.org/10.2139/ssrn.1089355

Eline De Frene (Contact Author)

KU Leuven ( email )

Oude Markt 13
Leuven, Vlaams-Brabant 3000
Belgium

Damien Schatteman

affiliation not provided to SSRN

Willy Herroelen

Catholic University of Leuven (KUL) ( email )

Leuven, B-3000
Belgium

Stijn Van de Vonder

KU Leuven - Faculty of Business and Economics (FEB) ( email )

Naamsestraat 69
Leuven, B-3000
Belgium

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