Supplier quality improvement: the value of information under uncertainty
We consider supplier development decisions for prime manufacturers with extensive supply bases producing complex, highly engineered products. We propose a novel modelling approach to support supply chain managers decide the optimal level of investment to improve quality performance under uncertainty...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Elsevier
2018
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/50669/ |