Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 1st Conference on Production Systems and Logistics |
| Pages | 1-12 |
| Number of pages | 12 |
| Publication status | Published - 2020 |
| Event | Conference on Production Systems and Logistics - Stellenbosch, Südafrika, Germany Duration: 17 Mar 2020 → 20 Mar 2020 Conference number: 1 https://cpsl-conference.com/ |
Publication series
| Name | Proceedings of the Conference on Production Systems and Logistics |
|---|
Abstract
When regenerating complex capital goods, on-time delivery as the most valuable customers’ requirement is crucial. Schedule reliability and throughput times are being trimmed to meet their targets as precisely as possible while keeping the logistic costs in-check. After disassembly, a significant number of components face relatively long repair times and need to be reassembled on a timed schedule. The configuration of internal supply chains offers the potential to improve schedule reliability. Pooling strategies are developed and discussed to achieve higher flexibility and positive effects on logistical performance. Pools help with reducing throughput times and short-term capacity allocation to satisfy an optimal on-time schedule. Serviceable (SA) components that have already been repaired, are stored in SA-pools and, if necessary, are allocated to the reassembly. The focus of this paper is the non-serviceable pool (nSA-pool), which provides repairable components to the repair stage. The nSA-pool helps to streamline the workflow before components reach several repair shops and has a direct impact on the repair process. Therefore, a model that allows the comprehension of interactions within the internal supply chain was developed and expedient pooling strategies were derived. Furthermore, the related pool stock dimensioning of preceding pools (nSA) before the repair stage and following pools (SA) are put into perspective.
Keywords
- Complex capital good, pool stock dimensioning, regeneration supply chain model
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
- Engineering(all)
- Mechanical Engineering
- Business, Management and Accounting(all)
- Management of Technology and Innovation
- Business, Management and Accounting(all)
- Strategy and Management
Sustainable Development Goals
Cite this
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Proceedings of the 1st Conference on Production Systems and Logistics. 2020. p. 1-12 (Proceedings of the Conference on Production Systems and Logistics).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Regeneration Supply Chain Model and Pool Stock Dimensioning
AU - Heuer, Tammo Mimken
AU - Wildmann, Benedict
AU - Lucht, Torben
AU - Nyhuis, Peter
N1 - Conference code: 1
PY - 2020
Y1 - 2020
N2 - When regenerating complex capital goods, on-time delivery as the most valuable customers’ requirement is crucial. Schedule reliability and throughput times are being trimmed to meet their targets as precisely as possible while keeping the logistic costs in-check. After disassembly, a significant number of components face relatively long repair times and need to be reassembled on a timed schedule. The configuration of internal supply chains offers the potential to improve schedule reliability. Pooling strategies are developed and discussed to achieve higher flexibility and positive effects on logistical performance. Pools help with reducing throughput times and short-term capacity allocation to satisfy an optimal on-time schedule. Serviceable (SA) components that have already been repaired, are stored in SA-pools and, if necessary, are allocated to the reassembly. The focus of this paper is the non-serviceable pool (nSA-pool), which provides repairable components to the repair stage. The nSA-pool helps to streamline the workflow before components reach several repair shops and has a direct impact on the repair process. Therefore, a model that allows the comprehension of interactions within the internal supply chain was developed and expedient pooling strategies were derived. Furthermore, the related pool stock dimensioning of preceding pools (nSA) before the repair stage and following pools (SA) are put into perspective.
AB - When regenerating complex capital goods, on-time delivery as the most valuable customers’ requirement is crucial. Schedule reliability and throughput times are being trimmed to meet their targets as precisely as possible while keeping the logistic costs in-check. After disassembly, a significant number of components face relatively long repair times and need to be reassembled on a timed schedule. The configuration of internal supply chains offers the potential to improve schedule reliability. Pooling strategies are developed and discussed to achieve higher flexibility and positive effects on logistical performance. Pools help with reducing throughput times and short-term capacity allocation to satisfy an optimal on-time schedule. Serviceable (SA) components that have already been repaired, are stored in SA-pools and, if necessary, are allocated to the reassembly. The focus of this paper is the non-serviceable pool (nSA-pool), which provides repairable components to the repair stage. The nSA-pool helps to streamline the workflow before components reach several repair shops and has a direct impact on the repair process. Therefore, a model that allows the comprehension of interactions within the internal supply chain was developed and expedient pooling strategies were derived. Furthermore, the related pool stock dimensioning of preceding pools (nSA) before the repair stage and following pools (SA) are put into perspective.
KW - Complex capital good
KW - pool stock dimensioning
KW - regeneration supply chain model
UR - http://www.scopus.com/inward/record.url?scp=85125367548&partnerID=8YFLogxK
U2 - https://doi.org/10.15488/9641
DO - https://doi.org/10.15488/9641
M3 - Conference contribution
T3 - Proceedings of the Conference on Production Systems and Logistics
SP - 1
EP - 12
BT - Proceedings of the 1st Conference on Production Systems and Logistics
T2 - Conference on Production Systems and Logistics
Y2 - 17 March 2020 through 20 March 2020
ER -