Disassembly sequencing in the regeneration of complex capital goods

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Lucht, Torben; Heuer, Tammo; Nyhuis, Peter: Disassembly sequencing in the regeneration of complex capital goods. In: Nyhuis, P.; Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics : CPSL 2020. Hannover : publish-Ing., 2020, S. 12-20. DOI: https://doi.org/10.15488/9642

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Sum total of downloads: 343

Despite constantly increasing condition monitoring parallel to operation, maintenance, repair & overhaul (MRO) processes in the regeneration of complex capital goods are still characterised by a high degree of uncertainty regarding the capacity and material demands to be expected from a regeneration order. In order to meet the committed delivery times and dates, the disassembly at the beginning of the regeneration supply chain is of particular importance for the performance of the entire downstream regeneration process. High potential for improving logistical performance lies in an intelligent and logistics-oriented sequencing strategy in disassembly. In addition to technical-physical boundary conditions, the interaction of the disassembly process with downstream process steps and additional other control measures must also be taken into account. The logistical description and evaluation of the sequencing-oriented measures for improving the logistical performance of disassembly in the context of the regeneration of complex capital goods makes their modelling a necessary prerequisite and basis. This paper presents a basic logistical design and modelling approach.
License of this version: CC BY 3.0 DE
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Proceedings CPSL 2020
Proceedings CPSL 2020

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pos. country downloads
total perc.
1 image of flag of Germany Germany 230 67.06%
2 image of flag of United States United States 27 7.87%
3 image of flag of Czech Republic Czech Republic 24 7.00%
4 image of flag of Russian Federation Russian Federation 20 5.83%
5 image of flag of China China 15 4.37%
6 image of flag of India India 4 1.17%
7 image of flag of No geo information available No geo information available 3 0.87%
8 image of flag of Sweden Sweden 3 0.87%
9 image of flag of Mexico Mexico 2 0.58%
10 image of flag of Canada Canada 2 0.58%
    other countries 13 3.79%

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