978
Views
40
CrossRef citations to date
0
Altmetric
Original Articles

Production planning for a ramp-up process with learning in production and growth in demand

, &
Pages 5707-5718 | Received 28 Feb 2011, Accepted 16 Aug 2011, Published online: 17 Oct 2011
 

Abstract

This paper presents a production-planning model for a manufacturing process that undergoes a ramp-up period with learning in production and growth in demand. The labour production and demand functions assumed in this paper are validated using available empirical data. A mathematical programming model is developed with numerical examples presented. The results of the paper indicate that the total costs of production can be minimised if the facility produces without interruption during the ramp-up phase and if the production and demand rates are synchronised as much as possible. The latter can be achieved by producing with the lowest possible production rate and by frequently re-structuring the workforce assigned to the production line.

Acknowledgements

The first author wishes to thank the in-kind support provided to him, as a visiting researcher, by Ryerson University, Toronto, Canada, and the Natural Science and Engineering Research Council (NSERC) of Canada for their partial financial support. This work was further supported by a fellowship within the Postdoc-Programme of the German Academic Exchange Service (DAAD). The second and third authors thank NSERC for their financial support.

Finally, the authors thank the anonymous reviewers for their positive and constructive reviews.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 973.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.