Dynamic performance measures for tools with multi-state wear processes and their applications for tool design and selection

DOI10.1080/00207540903071385zbMath1197.90111OpenAlexW2108653992MaRDI QIDQ3163376

Ming-Hung Shu, Bi-Min Hsu, Kailash C. Kapur

Publication date: 25 October 2010

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540903071385

zbMATH Keywords

process controlfuzzy data analysisprocess capabilityquality engineering

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25)

Related Items (1)

Optimum random and age replacement policies for customer-demand multi-state system reliability under imperfect maintenance

Cites Work

• Unnamed Item
• Unnamed Item
• Reliable tool replacement policy for quality and cost
• Process investment and loss functions: models and analysis
• The reflected normal loss function
• Acoustic emission analysis for tool wear monitoring in face milling
• On-line tool condition monitoring in face milling using current and power signals
• Tool condition monitoring in milling using vibration analysis

This page was built for publication: Dynamic performance measures for tools with multi-state wear processes and their applications for tool design and selection