ResearchProject Area D
Subproject D3

Subproject D3 Selection of Efficient Modes of Regeneration

Subproject D3 in the field of Operations Research, aims to develop quantitative models and associated tailor-made algorithms for the efficient planning of processes for the regeneration of complex capital goods. So far, the developed and published models and methods focus on the regeneration of transportable goods such as e.g. aircraft engines. The developed procedures are currently being adapted to planning the regeneration processes of immobile capital goods.

MOTIVATION AND OBJECTIVES

Flexible project and corresponding optimal schedule

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.

Logistic challenges in the maintenance of wind turbines

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.


PUBLICATIONS

  • Kellenbrink, C.; Helber, S. (2016) Quality- and profit-oriented scheduling of resource-constrained projects with flexible project structure via a genetic algorithmIn: European Journal of Industrial Engineering Volume 10, 2016
    DOI: DOI: 10.1504/EJIE.2016.078807
  • Kellenbrink, C.; Helber, S. (2015) Scheduling resource-constrained projects with a flexible project structure KellenbrinkEuropean Journal of Operational Research 246 (2), S. 379–391
    DOI: 10.1016/j.ejor.2015.05.003
  • Eickemeyer, S. C.; Herde, F.; Irudayaraj, P.; Nyhuis, P. (2014) Decision models for capacity planning in a regeneration environmentInternational Journal of Production Research 52 (23), S. 7007–7026
    DOI: 10.1080/00207543.2014.923122
All publications of the Collaborative Research Centre

SUBPROJECT LEADER

Dr. Carolin Kellenbrink
Address
Königsworther Platz 1
30167 Hannover
Building
Room
159
Address
Königsworther Platz 1
30167 Hannover
Building
Room
159
Prof. Dr. Stefan Helber
Office hours
Anmeldung über das Sekretariat erbeten.
Address
Königsworther Platz 1
30167 Hannover
Building
Room
160
Address
Königsworther Platz 1
30167 Hannover
Building
Room
160

STAFF

M.Sc. André Schnabel
Office hours
Di. 11:00 - 12:00 Uhr
Address
Königsworther Platz 1
30627 Hannover
Building
Room
116
Address
Königsworther Platz 1
30627 Hannover
Building
Room
116