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 1st Conference on Production Systems and Logistics (CPSL 2020), 2020, S. 12-20. DOI: https://doi.org/10.15488/9642

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Sum total of downloads: 167




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Abstract: 
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

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 137 82.04%
2 image of flag of Russian Federation Russian Federation 6 3.59%
3 image of flag of Czech Republic Czech Republic 6 3.59%
4 image of flag of China China 5 2.99%
5 image of flag of United States United States 3 1.80%
6 image of flag of No geo information available No geo information available 2 1.20%
7 image of flag of France France 2 1.20%
8 image of flag of Indonesia Indonesia 1 0.60%
9 image of flag of Canada Canada 1 0.60%
10 image of flag of Austria Austria 1 0.60%
    other countries 3 1.80%

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