Details
| Original language | English |
|---|---|
| Pages (from-to) | 679-711 |
| Number of pages | 33 |
| Journal | Journal of Business Economics |
| Volume | 90 |
| Issue number | 5-6 |
| Publication status | Published - 17 Jun 2020 |
Abstract
We study the problem to simultaneously decide on the structures and the schedules for an entire portfolio of flexible projects. The projects are flexible as alternative technologies and procedures can be used to achieve the respective project task. The choice between different technologies and procedures affects the activities to be implemented and thus the precedence relations, i.e., the structure of the project. The different projects have given due dates with specific delay payments and compete for scarce resources. In this situation, project structure decisions and scheduling decisions are highly intertwined and have to be made simultaneously in order to achieve the assumed objective of minimizing the delay payments for the entire project portfolio. The problem is formally stated and solved via novel and problem-specific genetic algorithms. The performance of the new algorithms is evaluated with respect to speed and accuracy in a systematic and comprehensive numerical study.
Keywords
- Flexible projects, Genetic algorithms, Multi-project scheduling, RCMPSP, RCPSP
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Business and International Management
- Economics, Econometrics and Finance(all)
- Economics and Econometrics
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In: Journal of Business Economics, Vol. 90, No. 5-6, 17.06.2020, p. 679-711.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Simultaneous structuring and scheduling of multiple projects with flexible project structures
AU - Hoffmann, Luise-Sophie
AU - Kellenbrink, Carolin
AU - Helber, Stefan
N1 - Funding information: Open Access funding provided by Projekt DEAL. The authors thank the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) for funding this research within the Collaborative Research Centre 871 “Regeneration of complex durable goods” under grant agreement SFB 871/3–119193472. We also thank the anonymous reviewers for their constructive and insightful questions, comments, and suggestions.
PY - 2020/6/17
Y1 - 2020/6/17
N2 - We study the problem to simultaneously decide on the structures and the schedules for an entire portfolio of flexible projects. The projects are flexible as alternative technologies and procedures can be used to achieve the respective project task. The choice between different technologies and procedures affects the activities to be implemented and thus the precedence relations, i.e., the structure of the project. The different projects have given due dates with specific delay payments and compete for scarce resources. In this situation, project structure decisions and scheduling decisions are highly intertwined and have to be made simultaneously in order to achieve the assumed objective of minimizing the delay payments for the entire project portfolio. The problem is formally stated and solved via novel and problem-specific genetic algorithms. The performance of the new algorithms is evaluated with respect to speed and accuracy in a systematic and comprehensive numerical study.
AB - We study the problem to simultaneously decide on the structures and the schedules for an entire portfolio of flexible projects. The projects are flexible as alternative technologies and procedures can be used to achieve the respective project task. The choice between different technologies and procedures affects the activities to be implemented and thus the precedence relations, i.e., the structure of the project. The different projects have given due dates with specific delay payments and compete for scarce resources. In this situation, project structure decisions and scheduling decisions are highly intertwined and have to be made simultaneously in order to achieve the assumed objective of minimizing the delay payments for the entire project portfolio. The problem is formally stated and solved via novel and problem-specific genetic algorithms. The performance of the new algorithms is evaluated with respect to speed and accuracy in a systematic and comprehensive numerical study.
KW - Flexible projects
KW - Genetic algorithms
KW - Multi-project scheduling
KW - RCMPSP
KW - RCPSP
UR - http://www.scopus.com/inward/record.url?scp=85086723877&partnerID=8YFLogxK
U2 - 10.1007/s11573-020-00993-z
DO - 10.1007/s11573-020-00993-z
M3 - Article
VL - 90
SP - 679
EP - 711
JO - Journal of Business Economics
JF - Journal of Business Economics
IS - 5-6
ER -