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.
Original language | English (US) |
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Pages (from-to) | 77-92 |
Number of pages | 16 |
Journal | Production and Operations Management |
Volume | 16 |
Issue number | 1 |
DOIs | |
State | Published - 2007 |
Keywords
- Diagnostic tree
- Factory physics
- Knowledge management
ASJC Scopus subject areas
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Management of Technology and Innovation