Motivation and objectives
Sub-project D3 uses quantitative methods to solve decision problems in business. The quantities to be optimized and all relevant constraints are formulated as equations in mathematical models. For these formal models, efficient solution methods are developed and evaluated in numerical studies.
The current literature does not provide suitable models and methods for planning the reprocessing of aircraft engines and other complex capital goods. In particular, aspects such as customer-specific priorities and the various regeneration modes cannot be adequately modeled with previous approaches. The aim of sub-project D3 is to adequately consider different modes and quality aspects when planning the regeneration of complex capital goods. Furthermore, the required time for computing efficient plans and decisions should be greatly reduced. Using better models should increase both the achieved customer satisfaction and generated profits.
The value of sub-project D3 for the Collaborative Research Center 871 lies in particular in the creation of a tool for selecting an efficient regeneration path from a multitude of possibilities by utilizing modern optimization algorithms.
Results
Sub-project D3 has developed procedures for determining optimal job acceptance policies for regeneration jobs, a process for planning flexible (multi) projects considering quality issues, and an approach to determining a revenue maximizing service portfolio for a regeneration service provider. Our results so far show that the tailor-made algorithms are able to determine close to optimal solutions within a very short time frame.
Current research and outlook
The research focus of sub-project D3 includes the continued adaptation of the models and methods for regeneration planning, as well as their implementation in the system demonstrator. Sub-project D3 contributes a computation module to the system demonstrator, which will demonstrate the interactions in the Collaborative Research Center. The module receives data from measurements and simulations as input, and determines a suitable regeneration path for the individual customer based on the given data. Furthermore, the module generates an efficient schedule, which meets the quality level requirements of the customer in a short time and at low cost. This ensures that a suitable quality level for reprocessing is achieved in a short time and at low cost.
In addition, sub-project D3 deals with the transfer of the developed models and methods to the planning of maintenance and repair actions of wind turbines. This transfer incorporates the spatial dimension, the limited lifetime and accessibility of the goods. Further transfers of the models and methods to other fields of application are feasible due to the abstract nature of the model.
Subproject leader
30167 Hannover
30167 Hannover
Staff
30167 Hannover
Publications
International Scientific Journal Paper, peer-reviewed
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(2022): A regeneration process chain with an integrated decision support system for individual regeneration processes based on a virtual twin, International Journal of Production Research
DOI: 10.1080/00207543.2022.2051089 -
(2020): Simultaneous structuring and scheduling of multiple projects with flexible project structures, J Bus Econ 90 (5-6), S. 679–711
DOI: 10.1007/s11573-020-00993-z -
(2018): Profit-oriented scheduling of resource-constrained projects with flexible capacity constraints, Bus Res 11, S. 329—356
DOI: 10.1007/s40685-018-0063-5 -
(2016): Quality- and profit-oriented scheduling of resource-constrained projects with flexible project structure via a genetic algorithm, European Journal of Industrial Engineering 10(5), S. 574--595
DOI: 10.1504/EJIE.2016.078807 -
(2015): Scheduling resource-constrained projects with a flexible project structure Kellenbrink, European Journal of Operational Research 246 (2), S. 379–391
DOI: 10.1016/j.ejor.2015.05.003 -
(2014): Decision models for capacity planning in a regeneration environment, International Journal of Production Research 52 (23), S. 7007–7026
DOI: 10.1080/00207543.2014.923122
International Conference Paper, peer-reviewed
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(2018): Scheduling Multiple Flexible Projects with Different Variants of Genetic Algorithms, Proceedings of the 16th International Conference on Project Management and Scheduling, Rome (Italy), pp. 128-131
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(2018): Scheduling resource-constrained projects with makespan-dependent revenues and costly overcapacity, Proceedings of the 16th International Conference on Project Management and Scheduling, Rome (Italy), pp. 205-208
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(2017): Priority based planning approaches for regeneration processes, Procedia CIRP 2017 (59), 89-94
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(2014): First Results on Quality-Oriented Scheduling of Flexible Projects, Proceedings of the 14th International Conference on Project Management and Scheduling, S. 129–132
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(2014): First results on resource-constrained project scheduling with model-endogenous decision on the project structure, Operations research proceedings 2012, Selected papers of the International Annual Conference of the German Operations Research Society (GOR), Leibniz Universität Hannover, Germany, September 5-7, 2012. Cham: Springer, S. 429–434
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(2014): Planning the Regeneration Processes of Complex Capital Goods, Procedia CIRP 24, S. 140–145
DOI: 10.1016/j.procir.2014.08.001
National Scientific Journal Paper, peer-reviewed
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(2016): Controlling in Sonderforschungsbereichen, Forschung: Politik, Strategie, Management 9. Jahrgang (Heft 2, 2016) (2), 45-53
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(2012): Regeneration komplexer Investitionsgüter - Potenziale für Kapazitätsplanung und -steuerung sowie Auftragsannahme, Zeitschrift für wirtschaftlichen Fabrikbetrieb 2012 (10), S. 761–765
National Scientific Journal Paper, not peer-reviewed
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(2012): Regeneration ziviler Flugzeugtriebwerke, Internationales Verkehrswesen 64 (2), S. 65–68
National Conference Paper, not peer-reviewed
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(2011): Nachhaltige Regeneration von Flugzeugtriebwerken, DLRK 2011 in der Session Innovation aus Niedersachsen Leichtbau und Triebwerktechnik. German Society for Aeronautics and Astronautics. Bremen, 01.01.2011
Books
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(2013): Rahmenbedingungen der industriellen Regeneration von zivilen Flugzeugtriebwerken, 2013. Norderstedt: BoD-Verlag
Dissertationen
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(2020): Heuristiken für die gewinnorientierte Planung ressourcenbeschränkter Projekte mit erweiterbaren Kapazitäten., Springer Fachmedien Wiesbaden GmbH
ISBN: 978-3-658-31609-9 -
(2018): Revenue-Management-Ansatz für eine Annahmesteuerung kundenspezifischer Regenerationsaufträge komplexer Investitionsgüter, Springer Fachmedien Wiesbaden
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(2014): Ressourcenbeschränkte Projektplanung für flexible Projekte, 2014. Wiesbaden: Springer Fachmedien Wiesbaden
ISBN: 978-3-65802-870-1
