Forecast-Based Dimensioning of Spare Parts Inventory Levels in the MRO Industry

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Authors

  • Tabea Marie Demke
  • Tim Kämpfer
  • Torben Lucht
  • Jens Wachsmann
  • Peter Nyhuis

Research Organisations

External Research Organisations

  • MTU Maintenance
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Details

Original languageEnglish
Title of host publicationAdvances in Production Management Systems
Subtitle of host publicationProduction Management Systems for Responsible Manufacturing, Service, and Logistics Futures
EditorsErlend Alfnes, Anita Romsdal, Jan Ola Strandhagen, Gregor von Cieminski, David Romero
PublisherSpringer Nature Switzerland AG
Pages92-106
Number of pages15
ISBN (electronic)978-3-031-43666-6
ISBN (print)978-3-031-43665-9
Publication statusPublished - 2023

Publication series

NameIFIP Advances in Information and Communication Technology
Volume690 AICT
ISSN (Print)1868-4238
ISSN (electronic)1868-422X

Abstract

Complex capital goods such as aircraft engines are stressed by the environment and actual operation. These influences, e.g. air pollution, lead to wear of the capital goods. Therefore, capital goods are maintained, repaired or overhauled (MRO). Regeneration is carried out byMRO service providers and enables an elongation of the utilization period within the product life cycle. Within the regeneration supply chain, spare parts demands arise for MRO service providers. However, at the beginning of the regeneration supply chain, the precise spare parts demand is uncertain in terms of the required type, quantity and quality of the spare parts. This kind of information is only available after the capital good has been inspected. Often long replenishment times for spare parts lead to the challenge of providing upcoming spare parts demand for assembly in time. This paper presents an approach to dimension spare parts inventory levels forecast- and model-based that addresses the underlying uncertainty related to aircraft spare parts demand. The forecasting model is based on historical data of past regeneration orders and takes relevant features into account. Based on this, a procedure is developed for the structured evaluation of procurement opportunities with regard to their logistical potential and financial risk. The approach addresses shortcomings of existing approaches related to repairable and serviceable aero engine components that can be stocked in pool levels. Consequently, the approach supports the achievement of short delivery times and high schedule reliability in theMRO industry. In addition to a literature review identifying shortcomings in existing approaches in this field, this paper includes a case study on forecasting spare parts demand focusing on the explorative data analysis to define forecasting model requirements.

Keywords

    maintenance, repair, and overhaul, Regeneration, Spare parts, Inventory Levels, Spare Parts, Repair and Overhaul, Maintenance

ASJC Scopus subject areas

Cite this

Forecast-Based Dimensioning of Spare Parts Inventory Levels in the MRO Industry. / Demke, Tabea Marie; Kämpfer, Tim; Lucht, Torben et al.
Advances in Production Management Systems: Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. ed. / Erlend Alfnes; Anita Romsdal; Jan Ola Strandhagen; Gregor von Cieminski; David Romero. Springer Nature Switzerland AG, 2023. p. 92-106 (IFIP Advances in Information and Communication Technology; Vol. 690 AICT).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Demke, TM, Kämpfer, T, Lucht, T, Wachsmann, J & Nyhuis, P 2023, Forecast-Based Dimensioning of Spare Parts Inventory Levels in the MRO Industry. in E Alfnes, A Romsdal, JO Strandhagen, G von Cieminski & D Romero (eds), Advances in Production Management Systems: Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. IFIP Advances in Information and Communication Technology, vol. 690 AICT, Springer Nature Switzerland AG, pp. 92-106. https://doi.org/10.1007/978-3-031-43666-6_7
Demke, T. M., Kämpfer, T., Lucht, T., Wachsmann, J., & Nyhuis, P. (2023). Forecast-Based Dimensioning of Spare Parts Inventory Levels in the MRO Industry. In E. Alfnes, A. Romsdal, J. O. Strandhagen, G. von Cieminski, & D. Romero (Eds.), Advances in Production Management Systems: Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures (pp. 92-106). (IFIP Advances in Information and Communication Technology; Vol. 690 AICT). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-43666-6_7
Demke TM, Kämpfer T, Lucht T, Wachsmann J, Nyhuis P. Forecast-Based Dimensioning of Spare Parts Inventory Levels in the MRO Industry. In Alfnes E, Romsdal A, Strandhagen JO, von Cieminski G, Romero D, editors, Advances in Production Management Systems: Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. Springer Nature Switzerland AG. 2023. p. 92-106. (IFIP Advances in Information and Communication Technology). Epub 2023 Sept 14. doi: 10.1007/978-3-031-43666-6_7
Demke, Tabea Marie ; Kämpfer, Tim ; Lucht, Torben et al. / Forecast-Based Dimensioning of Spare Parts Inventory Levels in the MRO Industry. Advances in Production Management Systems: Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. editor / Erlend Alfnes ; Anita Romsdal ; Jan Ola Strandhagen ; Gregor von Cieminski ; David Romero. Springer Nature Switzerland AG, 2023. pp. 92-106 (IFIP Advances in Information and Communication Technology).
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