Abstract
Improving performance of production systems is a critical but often unstructured activity. To help managers convert ad hoc or trial & error improvement efforts into efficient and systematic reviews, we develop a diagnostic tree which decomposes a performance improvement objective into successively more concrete sub-objectives and finally into potential improvement strategies. Based on principles from the Operations Management literature, this tree is structured to enable a non-specialist to better understand the links between corrective actions and performance. It also provides an important foundation for a principles-based knowledge management system that couples the decision tree with a search engine for locating relevant documents within an intranet. © 2007 Production and Operations Management Society.
| Original language | English |
|---|---|
| Pages (from-to) | 77-92 |
| Journal | Production and Operations Management |
| Volume | 16 |
| Issue number | 1 |
| Publication status | Published - Jan 2007 |
| Externally published | Yes |
Research Keywords
- Diagnostic tree
- Factory physics
- Knowledge management
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