Skip to main content
Log in

Lot sizing in the forging industry considering lot size dependent tool wear

  • Production Management
  • Published:
Production Engineering Aims and scope Submit manuscript

Abstract

Lot sizing is an important task of production planning and control: basis of lot sizes are order change costs and costs for storage. Models for lot sizing do not consider lot size dependent maintenance costs. However, for a forging company the tool wear is very important, because the tooling costs represent a major part in the production cost. In this article, the deterministic lot size model of Andler is extended with lot size dependent maintenance costs. For this purpose, the correlation between lot size and the tool wear is first derived in order to develop a lot size dependent wear function. The linking of a lot size dependent wear function with maintenance costs results in a lot size dependent maintenance cost function, which can be integrated into existing lot size models with a customized total cost function. The validation of the extended lot size model consists of two parts. In the first part, the functionality of the extended lot size model is validated. In the second part, a sensitivity analysis of the lot size is carried out with regard to lot size dependent costs and unit costs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Doege E, Behrens B-A (2010) Handburch Umformtechnik—Grundlagen, Technologien, Maschinen. Springer, Berlin

    Google Scholar 

  2. Byrer TG, Semiatin SL, Vollmer DC (1985) Forging handbook. Forging Industry Association, Cleveland

    Google Scholar 

  3. Schuler (1998) Metal forming handbook, Springer, Berlin

    Book  Google Scholar 

  4. Lavtar L, Muhic T, Kugler G, Tercelj M (2011) Analysis of the main types of damage on a pair of industria dies for hot forging car steering mechanism. Eng Fail Anal 4:1143–1152

    Article  Google Scholar 

  5. Behrens B-A (2008) Finite element analysis of die wear in hot forging processes. CIRP Ann Manuf Technol 57(1):305–308

  6. Schoensleben P (2012) Integral logistics management, 4th edn. CRC Press, Baca Raton

    Google Scholar 

  7. Buzacott JA (2012) Production planning and control: basics and concepts, Oldenburg Verlag, Berlin

    Google Scholar 

  8. Andler K (1929) Rationalisierung der Fabrikation und optimale Losgröße, Oldenburg Verlag, Berlin

    Google Scholar 

  9. Wight OW (2008) Manufacturing Ressource Pllaing: MRP II. Wight Publications, Williston

  10. Nyhuis P, Wiendahl H-P (2009) Fundamentals of production logistics: theory, tools and applications. Springer, Berlin

    Book  Google Scholar 

  11. Silver EA, Meal HC (1973) A heuristic for selecting lotsize quantities for the case of deterministic time—varying demand rate and discrete opportunities for replenishment. Prod Inventory Manag 14(2):64

    Google Scholar 

  12. Wagner HM, Within TM (1958) Dynamic version of the economic lot size modell. Manage Sci 5(1):89

    Article  Google Scholar 

  13. Harris FW (1913) How many parts to make at once. Fact Mag Manag 10(2):947–950

    Google Scholar 

  14. Schmidt M, Münzberg B, Nyhuis P (2014) Determining lot sizes in production areas—exact calculations vs. research based estimation. In: CIRP Global Web conference on production engineering research: advancement beyond state of the art

  15. Münzberg B (2013) Multikriterielle Losgrößenbildung, Dissertation, PZH-Verlag, Garbsen

  16. Levitt J (2009) The handbook of maintenance management. Industrial Press, New York

    Google Scholar 

  17. Galar D, Sandborn P, Kumar U (2017) Maintenance costs and life cycle cost analysis. CRC Press, Boca Raton

    Book  Google Scholar 

  18. Richter J, Prinzhorn H, Blohm T, Langner J, Stonis M, Behrens B-A (2017) Untersuchung des losgrößenabhängigen Werkzeugverschleißes beim Gesenkschmieden von Stahlbauteilen. Umformtechnik. https://www.umformtechnik.net/binary_data/3282229_iph-richter-whitepaper-2017-03-15-utfscience.pdf

  19. Silva C, Magalhaes JM (2006) Heuristic lot size scheduling on unrelated parallel machines with applications in the textile industry. Comput Ind Eng 50:76–89

    Article  Google Scholar 

  20. Gray AE, Seidmann AS, Stecke KE (1993) A synthesis of decision models for tool management in automated manufacturing. Manage Sci 39:549–567

    Article  Google Scholar 

  21. Prinzhorn H, Richter J, Böning C, Nyhuis P (2016) Losgrößenabhängiger Werkzeugverschleiß. Werkstatt für wirtschaftlichen Fabrikbetrieb 7–8

  22. Bronshtein IN, Semendyayev KA, Musiol G, Muhlig H (2015) Handbook of mathematics (6th edn)

  23. Wemmerlöv U (1981) The Ubiquitous EOQ—its relation to Discret Lot Sizing Heuristics. J Oper Prod Manag 3(1):161–179

    Article  Google Scholar 

  24. Stadtler H (2006) How important is to get the lot size right? Zeitschrift für Betriebswirtschaft 77(4):407

    Article  Google Scholar 

  25. Petry K (2004) Entwicklung eines Losplanungsverfahrens zur Harmonisierng des Auftragsdurchlaufes. Aachen

Download references

Acknowledgements

This publication has been composed as part of IGF research project (18780N) of Forschungsvereinigung Gesellschaft für Verkehrsbetriebswirtschaft und Logistik e.V. (GVB). The Federal Ministry of Economics and Energy (BMWi) funds the research project through the AiF within the framework of the program for the promotion of industrial joint research (IGF) based on a decision of the German Bundestag.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Henrik Prinzhorn.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Prinzhorn, H., Richter, J., Langner, J. et al. Lot sizing in the forging industry considering lot size dependent tool wear. Prod. Eng. Res. Devel. 12, 53–63 (2018). https://doi.org/10.1007/s11740-017-0777-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11740-017-0777-9

Keywords

Navigation