A diagnostic tree for improving production line performance

• 成果类型: Article
• 署名作者: Hopp, Wallace J.; Iravani, Seyed M. R.; Shou, Biying
• 署名单位: Northwestern University
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/j.1937-5956.2007.tb00167.x
• 发表日期: 2007
• 页码: 77-92
• 关键词: KNOWLEDGE MANAGEMENT; factory physics; diagnostic tree

摘要

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.