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Solving the nuclear dismantling project scheduling problem by combining mixed-integer and constraint programming techniques and metaheuristics

Hübner, Felix; Gerhards, Patrick; Stürck, Christian; Volk, Rebekka

Scheduling of megaprojects is very challenging because of typical characteristics, such as expected long project durations, many activities with multiple modes, scarce resources, and investment decisions. Furthermore, each megaproject has additional specific characteristics to be considered. Since the number of nuclear dismantling projects is expected to increase considerably worldwide in the coming decades, we use this type of megaproject as an application case in this paper. Therefore, we consider the specific characteristics of constrained renewable and non-renewable resources, multiple modes, precedence relations with and without no-wait condition, and a cost minimisation objective. To reliably plan at minimum costs considering all relevant characteristics, scheduling methods can be applied. But the extensive literature review conducted did not reveal a scheduling method considering the special characteristics of nuclear dismantling projects. Consequently, we introduce a novel scheduling problem referred to as the nuclear dismantling project scheduling problem. Furthermore, we developed and implemented an effective metaheuristic to obtain feasible schedules for projects with about 300 activities. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000131337
Veröffentlicht am 12.04.2021
DOI: 10.1007/s10951-021-00682-x
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1094-6136, 1099-1425
KITopen-ID: 1000131337
Erschienen in Journal of scheduling
Verlag John Wiley and Sons
Vorab online veröffentlicht am 12.04.2021
Schlagwörter Project scheduling; Multi-mode resource investment problem; Mixed-integer programming; Constraint programming; Metaheuristic; Nuclear dismantling project scheduling problem
Nachgewiesen in Scopus
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