Details
| Original language | English |
|---|---|
| Pages (from-to) | 574-595 |
| Number of pages | 22 |
| Journal | European Journal of Industrial Engineering |
| Volume | 10 |
| Issue number | 5 |
| Publication status | Published - 2016 |
Abstract
We study the problem of determining both the structure and the schedule of projects subject to capacity constraints. We assume that those projects are flexible in the sense that the activities to be implemented are not entirely known in advance. In such a setting, decisions must be made with respect to the implementation of the optional activities. Such decisions affect the duration, cost, quality and eventual revenue of the project. Examples of this type of problem can often be found when complex capital goods such as aircraft engines are overhauled, or when buildings are renovated to meet higher environmental and efficiency standards. We describe the problem, develop a mixed-integer optimisation model, explain specific features of a genetic algorithm to solve the problem and report the results of a numerical study.
Keywords
- Flexible project structure, Genetic algorithm, Project scheduling, Quality, RCPSP, Resource-constrained project scheduling problem
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: European Journal of Industrial Engineering, Vol. 10, No. 5, 2016, p. 574-595.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Quality- And profit-oriented scheduling of resource-constrained projects with flexible project structure via a genetic algorithm
AU - Kellenbrink, C.
AU - Helber, S.
N1 - Publisher Copyright: © 2016 Inderscience Enterprises Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - We study the problem of determining both the structure and the schedule of projects subject to capacity constraints. We assume that those projects are flexible in the sense that the activities to be implemented are not entirely known in advance. In such a setting, decisions must be made with respect to the implementation of the optional activities. Such decisions affect the duration, cost, quality and eventual revenue of the project. Examples of this type of problem can often be found when complex capital goods such as aircraft engines are overhauled, or when buildings are renovated to meet higher environmental and efficiency standards. We describe the problem, develop a mixed-integer optimisation model, explain specific features of a genetic algorithm to solve the problem and report the results of a numerical study.
AB - We study the problem of determining both the structure and the schedule of projects subject to capacity constraints. We assume that those projects are flexible in the sense that the activities to be implemented are not entirely known in advance. In such a setting, decisions must be made with respect to the implementation of the optional activities. Such decisions affect the duration, cost, quality and eventual revenue of the project. Examples of this type of problem can often be found when complex capital goods such as aircraft engines are overhauled, or when buildings are renovated to meet higher environmental and efficiency standards. We describe the problem, develop a mixed-integer optimisation model, explain specific features of a genetic algorithm to solve the problem and report the results of a numerical study.
KW - Flexible project structure
KW - Genetic algorithm
KW - Project scheduling
KW - Quality
KW - RCPSP
KW - Resource-constrained project scheduling problem
UR - http://www.scopus.com/inward/record.url?scp=84986229856&partnerID=8YFLogxK
U2 - 10.1504/ejie.2016.078807
DO - 10.1504/ejie.2016.078807
M3 - Article
VL - 10
SP - 574
EP - 595
JO - European Journal of Industrial Engineering
JF - European Journal of Industrial Engineering
SN - 1751-5254
IS - 5
ER -