IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v147y2014ipap94-107.html
   My bibliography  Save this article

Systematic simulation based approach for the identification and implementation of a scheduling rule in the aircraft engine maintenance

Author

Listed:
  • Reményi, Christoph
  • Staudacher, Stephan

Abstract

In the current situation of fluctuating demands and market driven turbulences, new part manufactures have to deal with many turbulence factors. Companies operating in the MRO (maintenance, repair and overhaul) sector have to additionally deal with major variations of work load and work contents. In addition, the operational processes of the maintenance contractors are strongly affected by the influence of the customers. The delivery date of the corresponding order is highly influenced by the customer. Besides the information about the actual work load is only completely known when the inspection is completed. Since the planning of the maintenance event and the maintenance operation are hard to handle, the focus of the approach presented in this paper is set on improving the maintenance operation by finding suitable scheduling rules for the job-shop operation of the maintenance. We hypothesize that the use of scheduling rules can improve the maintenance operation. The main question which is answered in this paper is the question if an improvement of the logistical targets of the maintenance system can be accomplished with the use of decentralized scheduling rules. As part of the examination, a systematic simulation based approach for the identification of scheduling rules is defined. Due to the need of different studies, a simulation model is developed. With this model, the different simulation studies can easily be accomplished. The simulation results show an influence of the decentralized scheduling before each of the machine tools. The best results were achieved by the combinations of FIFO/Slack and ESD/Slack with an influence on the target values on-time delivery, work in progress, the throughput, the performance and the throughput time.

Suggested Citation

  • Reményi, Christoph & Staudacher, Stephan, 2014. "Systematic simulation based approach for the identification and implementation of a scheduling rule in the aircraft engine maintenance," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 94-107.
  • Handle: RePEc:eee:proeco:v:147:y:2014:i:pa:p:94-107
    DOI: 10.1016/j.ijpe.2012.10.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S092552731200463X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2012.10.022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gary D. Scudder, 1984. "Priority Scheduling and Spares Stocking Policies for a Repair Shop: The Multiple Failure Case," Management Science, INFORMS, vol. 30(6), pages 739-749, June.
    2. William S. Gere, Jr., 1966. "Heuristics in Job Shop Scheduling," Management Science, INFORMS, vol. 13(3), pages 167-190, November.
    3. Warren H. Hausman & Gary D. Scudder, 1982. "Priority Scheduling Rules for Repairable Inventory Systems," Management Science, INFORMS, vol. 28(11), pages 1215-1232, November.
    4. S. S. Panwalkar & Wafik Iskander, 1977. "A Survey of Scheduling Rules," Operations Research, INFORMS, vol. 25(1), pages 45-61, February.
    5. Dijkstra, Matthijs C. & Kroon, Leo G. & van Nunen, Jo A. E. E. & Salomon, Marc, 1991. "A DSS for capacity planning of aircraft maintenance personnel," International Journal of Production Economics, Elsevier, vol. 23(1-3), pages 69-78, October.
    6. Kilpi, Jani & Vepsäläinen, Ari P.J., 2004. "Pooling of spare components between airlines," Journal of Air Transport Management, Elsevier, vol. 10(2), pages 137-146.
    7. Rohloff, M., 1993. "Decentralized production planning and design of a production management system based on an object-oriented architecture," International Journal of Production Economics, Elsevier, vol. 30(1), pages 365-383, July.
    8. Ghobbar, Adel A. & Friend, Chris H., 2004. "The material requirements planning system for aircraft maintenance and inventory control: a note," Journal of Air Transport Management, Elsevier, vol. 10(3), pages 217-221.
    9. Ramasesh, R, 1990. "Dynamic job shop scheduling: A survey of simulation research," Omega, Elsevier, vol. 18(1), pages 43-57.
    10. Yan, Shangyao & Yang, Ta-Hui & Chen, Hsuan-Hung, 2004. "Airline short-term maintenance manpower supply planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(9-10), pages 615-642.
    11. W. Edwards Deming, 2000. "Out of the Crisis," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262541157, April.
    12. Cobb, Richard, 1995. "Modeling aircraft repair turntime," Journal of Air Transport Management, Elsevier, vol. 2(1), pages 25-32.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ahmed H. Sakr & Ayman Aboelhassan & Soumaya Yacout & Samuel Bassetto, 2023. "Simulation and deep reinforcement learning for adaptive dispatching in semiconductor manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1311-1324, March.
    2. Pai Liu & Xi Zhang & Zhongshun Shi & Zewen Huang, 2017. "Simulation Optimization for MRO Systems Operations," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(02), pages 1-23, April.
    3. Dinis, Duarte & Barbosa-Póvoa, Ana & Teixeira, Ângelo Palos, 2019. "A supporting framework for maintenance capacity planning and scheduling: Development and application in the aircraft MRO industry," International Journal of Production Economics, Elsevier, vol. 218(C), pages 1-15.
    4. Andrade, Antonio Ramos & Stow, Julian, 2017. "Assessing the potential cost savings of introducing the maintenance option of ‘Economic Tyre Turning’ in Great Britain railway wheelsets," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 317-325.
    5. van Ooijen, Henny & Bertrand, J. Will M. & Buyukkaramikli, Nasuh C., 2019. "Coordinating failed goods collecting and repair capacity policies in the maintenance of commoditized capital goods," International Journal of Production Economics, Elsevier, vol. 208(C), pages 29-42.
    6. Kurz, Julian, 2016. "Capacity planning for a maintenance service provider with advanced information," European Journal of Operational Research, Elsevier, vol. 251(2), pages 466-477.
    7. Veronica Fornlöf & Diego Galar & Anna Syberfeldt & Torgny Almgren, 2016. "RUL estimation and maintenance optimization for aircraft engines: a system of system approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(4), pages 450-461, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dinis, Duarte & Barbosa-Póvoa, Ana & Teixeira, Ângelo Palos, 2019. "A supporting framework for maintenance capacity planning and scheduling: Development and application in the aircraft MRO industry," International Journal of Production Economics, Elsevier, vol. 218(C), pages 1-15.
    2. van der Heijden, M.C. & Alvarez, E.M. & Schutten, J.M.J., 2013. "Inventory reduction in spare part networks by selective throughput time reduction," International Journal of Production Economics, Elsevier, vol. 143(2), pages 509-517.
    3. van Ooijen, Henny & Bertrand, J. Will M. & Buyukkaramikli, Nasuh C., 2019. "Coordinating failed goods collecting and repair capacity policies in the maintenance of commoditized capital goods," International Journal of Production Economics, Elsevier, vol. 208(C), pages 29-42.
    4. Valls, Vicente & Angeles Perez, M. & Sacramento Quintanilla, M., 1998. "A tabu search approach to machine scheduling," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 277-300, April.
    5. Jain, A. S. & Meeran, S., 1999. "Deterministic job-shop scheduling: Past, present and future," European Journal of Operational Research, Elsevier, vol. 113(2), pages 390-434, March.
    6. Guide, V. Daniel R. & Srivastava, Rajesh, 1997. "Repairable inventory theory: Models and applications," European Journal of Operational Research, Elsevier, vol. 102(1), pages 1-20, October.
    7. Land, Martin & Gaalman, Gerard, 1996. "Workload control concepts in job shops A critical assessment," International Journal of Production Economics, Elsevier, vol. 46(1), pages 535-548, December.
    8. Branke, Juergen & Pickardt, Christoph W., 2011. "Evolutionary search for difficult problem instances to support the design of job shop dispatching rules," European Journal of Operational Research, Elsevier, vol. 212(1), pages 22-32, July.
    9. David F. Pyke, 1990. "Priority repair and dispatch policies for reparable‐item logistics systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(1), pages 1-30, February.
    10. Beemsterboer, Bart & Land, Martin & Teunter, Ruud & Bokhorst, Jos, 2017. "Integrating make-to-order and make-to-stock in job shop control," International Journal of Production Economics, Elsevier, vol. 185(C), pages 1-10.
    11. Topan, E. & Eruguz, A.S. & Ma, W. & van der Heijden, M.C. & Dekker, R., 2020. "A review of operational spare parts service logistics in service control towers," European Journal of Operational Research, Elsevier, vol. 282(2), pages 401-414.
    12. Seifert, Ralf W. & Morito, Susumu, 2001. "Cooperative dispatching - exploiting the flexibility of an FMS by means of incremental optimization," European Journal of Operational Research, Elsevier, vol. 129(1), pages 116-133, February.
    13. Budai-Balke, G. & Dekker, R. & Nicolai, R.P., 2006. "A review of planning models for maintenance and production," Econometric Institute Research Papers EI 2006-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. repec:dgr:rugsom:95a42 is not listed on IDEAS
    15. Kathryn E. Caggiano & John A. Muckstadt & James A. Rappold, 2006. "Integrated Real-Time Capacity and Inventory Allocation for Reparable Service Parts in a Two-Echelon Supply System," Manufacturing & Service Operations Management, INFORMS, vol. 8(3), pages 292-319, August.
    16. Land, Martin J. & Gaalman, Gerard J.C., 1995. "Workload control concepts in job shops: a critical assessment," Research Report 95A42, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    17. El-Bouri, Ahmed & Balakrishnan, Subramaniam & Popplewell, Neil, 2008. "Cooperative dispatching for minimizing mean flowtime in a dynamic flowshop," International Journal of Production Economics, Elsevier, vol. 113(2), pages 819-833, June.
    18. Kasper, T.A. Arno & Land, Martin J. & Teunter, Ruud H., 2023. "Towards System State Dispatching in High‐Variety Manufacturing," Omega, Elsevier, vol. 114(C).
    19. Bonfatti, M. & Caridi, M. & Schiavina, L., 2006. "A fuzzy model for load-oriented manufacturing control," International Journal of Production Economics, Elsevier, vol. 104(2), pages 502-513, December.
    20. Sleptchenko, A. & van der Heijden, M. C. & van Harten, A., 2005. "Using repair priorities to reduce stock investment in spare part networks," European Journal of Operational Research, Elsevier, vol. 163(3), pages 733-750, June.
    21. Blazewicz, Jacek & Domschke, Wolfgang & Pesch, Erwin, 1996. "The job shop scheduling problem: Conventional and new solution techniques," European Journal of Operational Research, Elsevier, vol. 93(1), pages 1-33, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:147:y:2014:i:pa:p:94-107. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.