Publication Type
Book Chapter
Version
publishedVersion
Publication Date
1-1999
Abstract
The problem of scheduling projects under various types of resource constraints constitutes an important and challenging problem which has received increasing attention during the past several years. The bulk of the models and procedures designed for coping with these problem types aim at scheduling project activities to minimize the project duration subject to constant availability constraints on the required set of resources and precedence constraints that indicate that activities can only be started when all of their predecessors have already been finished. However, real-life project scheduling applications often involve more complicated types of precedence relations such as arbitrary minimal and maximal time lags between the starting and completion times of the activities, and require more sophisticated regular and nonregular objective functions. Over the past few years, considerable progress has been made in the use of exact solution procedures for this problem type and its variants. We will review the fundamental logic and report new computational experience with solution procedures for optimally solving resource-constrained project scheduling problems in which such generalized precedence relations and objective functions can be explicitly considered.
Keywords
Search Tree, Project Schedule, Precedence Relation, Resource Type, Project Schedule Problem
Discipline
Business Administration, Management, and Operations | Management Information Systems
Research Areas
Operations Management
Publication
Project scheduling: Recent models, algorithms and applications
Editor
WELGARZ, Jan
First Page
77
Last Page
105
ISBN
9781461375296
Identifier
10.1007/978-1-4615-5533-9_4
Edition
1st
Publisher
SpringerLink
City or Country
New York
Embargo Period
8-31-2021
Citation
DE REYCK, Bert; DEMEULEMEESTER, Erik; and HERROELEN, Willy.
Algorithms for scheduling projects with generalized precedence relations. (1999). Project scheduling: Recent models, algorithms and applications. 77-105.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/6770
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
External URL
https://doi.org/10.1007/978-1-4615-5533-9_4
Included in
Business Administration, Management, and Operations Commons, Management Information Systems Commons