Abstract
In this paper we study product quality in flexible manufacturing systems with batch production using a Markov chain model. To improve the quality performance in such systems, the notions of quality improvability and bottleneck sequence are introduced. Indicators for identifying the quality improvability and bottleneck sequence, based on data measured on the factory floor rather than complicated calculations, are developed. A case study of improving quality at an automotive paint shop is introduced. © 2012 Copyright Taylor and Francis Group, LLC.
| Original language | English |
|---|---|
| Pages (from-to) | 6388-6402 |
| Journal | International Journal of Production Research |
| Volume | 50 |
| Issue number | 22 |
| DOIs | |
| Publication status | Published - 15 Nov 2012 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
This work is supported, in part, by NSF grant No. CMMI-1063656.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Bottleneck
- Flexibility
- Improvability
- Production modelling
- Quality management
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