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Towards a learning curve theory for batch production

Chatzimichali, Anna; Tourassis, Vasilis

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Authors

Vasilis Tourassis



Abstract

Consumer attitudes and fashion trends often impose severe constraints in manufacturing. When market needs for varied product designs lead to product competition for a place in the production schedule, batch size and available production time are depressed. Due to frequent set- ups and retooling, quality issues arise that hold back the line from a full ramp up. Consequently, the major advantage of quality through learning in mass production is often compromised. In this paper, we stipulate that in batch production the process of industrial learning becomes more complex and thus the archetypal exponential or power curve is not sufficiently rich to describe it. Specifically, we demonstrate that the learning phenomenon appears in double guise: both within and between batches. Actual production data from the fashion-conscious ceramic tile industry provide sufficient support for our premise about the dynamic nature of learning in batch production. © 2008 IEEE.

Citation

Chatzimichali, A., & Tourassis, V. (2008). Towards a learning curve theory for batch production. . https://doi.org/10.1109/IEEM.2008.4737890

Conference Name 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
Conference Location Singapore
Start Date Dec 8, 2008
End Date Dec 11, 2008
Acceptance Date Jun 1, 2008
Publication Date Dec 1, 2008
Deposit Date Sep 25, 2018
Publicly Available Date Sep 25, 2018
Print ISSN 2157-3611
Peer Reviewed Peer Reviewed
Pages 354-358
ISBN 9781424426294
DOI https://doi.org/10.1109/IEEM.2008.4737890
Keywords learning curves, batch production, tile manufacturing
Public URL https://uwe-repository.worktribe.com/output/999305
Publisher URL https://doi.org/10.1109/IEEM.2008.4737890
Additional Information Title of Conference or Conference Proceedings : 2008 IEEE International Conference on Industrial Engineering and Engineering Management

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