%0 Conference Proceedings
%T A Data Mining Approach to Support Capacity Planning for the Regeneration of Complex Capital Goods
%+ Leibniz Universität Hannover=Leibniz University Hannover
%A Seitz, Melissa
%A Sobotta, Maren
%A Nyhuis, Peter
%Z Part 12: Applications of Machine Learning in Production Management
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Austin, TX, United States
%Y Farhad Ameri
%Y Kathryn E. Stecke
%Y Gregor von Cieminski
%Y Dimitris Kiritsis
%I Springer International Publishing
%3 Advances in Production Management Systems. Towards Smart Production Management Systems
%V AICT-567
%N Part II
%P 583-590
%8 2019-09-01
%D 2019
%R 10.1007/978-3-030-29996-5_67
%K Capacity planning
%K Data base
%K Data mining
%K Complex capital goods
%K Logistics efficiency
%Z Computer Science [cs]Conference papers
%X With regard to the recommissioning of damage caused inoperable complex capital goods, a high logistics efficiency is a very important competitive factor for regeneration service providers. Consequently, fast processing as well as a high schedule reliability need to be realized. However, since the required regeneration effort for future damages may vary and is usually indefinite at the time of planning, capacity planning for the regeneration of complex capital goods has to deal with a high degree of uncertainty. Regarding this challenge, the evaluation of prior regeneration process data by means of data mining offers great potential for the determination of load forecasts. This paper depicts the development of a data mining approach to support capacity planning for the regeneration for complex capital goods focusing on rail vehicle transformers as a sample of application.
%G English
%Z TC 5
%Z WG 5.7
%2 https://inria.hal.science/hal-02460468/document
%2 https://inria.hal.science/hal-02460468/file/489108_1_En_67_Chapter.pdf
%L hal-02460468
%U https://inria.hal.science/hal-02460468
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ IFIP-AICT-567