Integrated Repair Shop Scheduling and Spare Parts Pooling for Robust Product Regeneration

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Torben Lucht
  • Anja Wojcik
  • Peter Nyhuis
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Seiten200-206
Seitenumfang7
ISBN (elektronisch)978-1-6654-3771-4
PublikationsstatusVeröffentlicht - 2021

Abstract

The regeneration of complex capital goods is subject to significant information uncertainty with regard to the capacity and material demand to be expected from a regeneration order. One suitable measure to prevent losses in capacity utilization or delays caused by missing material supply is pooling of spare parts over several pool stages. In order to make optimal use of the mostly scarcely available pool components (due to their high price) in terms of increasing the robustness of the logistics processes, material management and production planning and control (PPC) require close coordination. This paper presents an approach to integrate multi-stage spare parts pooling and repair shop scheduling for the regeneration of complex capital goods using mathematical modeling. In addition to various logistics interdependencies, this approach also takes into account typical uncertainties and dynamics drivers in regeneration. Finally, the logistics potential of this approach is demonstrated by integrating it into an event-driven, rolling planning approach and its application to an exemplary use case.

ASJC Scopus Sachgebiete

Zitieren

Integrated Repair Shop Scheduling and Spare Parts Pooling for Robust Product Regeneration. / Lucht, Torben; Wojcik, Anja; Nyhuis, Peter.
2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 2021. S. 200-206.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Lucht, T, Wojcik, A & Nyhuis, P 2021, Integrated Repair Shop Scheduling and Spare Parts Pooling for Robust Product Regeneration. in 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). S. 200-206. https://doi.org/10.1109/IEEM50564.2021.9673058
Lucht, T., Wojcik, A., & Nyhuis, P. (2021). Integrated Repair Shop Scheduling and Spare Parts Pooling for Robust Product Regeneration. In 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (S. 200-206) https://doi.org/10.1109/IEEM50564.2021.9673058
Lucht T, Wojcik A, Nyhuis P. Integrated Repair Shop Scheduling and Spare Parts Pooling for Robust Product Regeneration. in 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 2021. S. 200-206 doi: 10.1109/IEEM50564.2021.9673058
Lucht, Torben ; Wojcik, Anja ; Nyhuis, Peter. / Integrated Repair Shop Scheduling and Spare Parts Pooling for Robust Product Regeneration. 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 2021. S. 200-206
Download
@inproceedings{fb5fffa5b71c4ac191b9b6c6853c4494,
title = "Integrated Repair Shop Scheduling and Spare Parts Pooling for Robust Product Regeneration",
abstract = "The regeneration of complex capital goods is subject to significant information uncertainty with regard to the capacity and material demand to be expected from a regeneration order. One suitable measure to prevent losses in capacity utilization or delays caused by missing material supply is pooling of spare parts over several pool stages. In order to make optimal use of the mostly scarcely available pool components (due to their high price) in terms of increasing the robustness of the logistics processes, material management and production planning and control (PPC) require close coordination. This paper presents an approach to integrate multi-stage spare parts pooling and repair shop scheduling for the regeneration of complex capital goods using mathematical modeling. In addition to various logistics interdependencies, this approach also takes into account typical uncertainties and dynamics drivers in regeneration. Finally, the logistics potential of this approach is demonstrated by integrating it into an event-driven, rolling planning approach and its application to an exemplary use case.",
keywords = "Integrated planning, MRO, PPC, Pooling, Robustness, Scheduling, Spare parts",
author = "Torben Lucht and Anja Wojcik and Peter Nyhuis",
note = "Funding Information: Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) {"}SFB 87113{"} - 119193472.",
year = "2021",
doi = "10.1109/IEEM50564.2021.9673058",
language = "English",
isbn = "978-1-6654-3772-1",
pages = "200--206",
booktitle = "2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)",

}

Download

TY - GEN

T1 - Integrated Repair Shop Scheduling and Spare Parts Pooling for Robust Product Regeneration

AU - Lucht, Torben

AU - Wojcik, Anja

AU - Nyhuis, Peter

N1 - Funding Information: Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) "SFB 87113" - 119193472.

PY - 2021

Y1 - 2021

N2 - The regeneration of complex capital goods is subject to significant information uncertainty with regard to the capacity and material demand to be expected from a regeneration order. One suitable measure to prevent losses in capacity utilization or delays caused by missing material supply is pooling of spare parts over several pool stages. In order to make optimal use of the mostly scarcely available pool components (due to their high price) in terms of increasing the robustness of the logistics processes, material management and production planning and control (PPC) require close coordination. This paper presents an approach to integrate multi-stage spare parts pooling and repair shop scheduling for the regeneration of complex capital goods using mathematical modeling. In addition to various logistics interdependencies, this approach also takes into account typical uncertainties and dynamics drivers in regeneration. Finally, the logistics potential of this approach is demonstrated by integrating it into an event-driven, rolling planning approach and its application to an exemplary use case.

AB - The regeneration of complex capital goods is subject to significant information uncertainty with regard to the capacity and material demand to be expected from a regeneration order. One suitable measure to prevent losses in capacity utilization or delays caused by missing material supply is pooling of spare parts over several pool stages. In order to make optimal use of the mostly scarcely available pool components (due to their high price) in terms of increasing the robustness of the logistics processes, material management and production planning and control (PPC) require close coordination. This paper presents an approach to integrate multi-stage spare parts pooling and repair shop scheduling for the regeneration of complex capital goods using mathematical modeling. In addition to various logistics interdependencies, this approach also takes into account typical uncertainties and dynamics drivers in regeneration. Finally, the logistics potential of this approach is demonstrated by integrating it into an event-driven, rolling planning approach and its application to an exemplary use case.

KW - Integrated planning

KW - MRO

KW - PPC

KW - Pooling

KW - Robustness

KW - Scheduling

KW - Spare parts

UR - http://www.scopus.com/inward/record.url?scp=85125384433&partnerID=8YFLogxK

U2 - 10.1109/IEEM50564.2021.9673058

DO - 10.1109/IEEM50564.2021.9673058

M3 - Conference contribution

SN - 978-1-6654-3772-1

SP - 200

EP - 206

BT - 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

ER -