Process investment and loss functions: models and analysis

DOI10.1016/S0377-2217(03)00147-4zbMath1106.90327MaRDI QIDQ1877030

Shailesh Kulkarni, Victor R. Prybutok

Publication date: 16 August 2004

Published in: European Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

Quality controlLoss functionsProcess improvementTaguchi's loss

Mathematics Subject Classification ID

Production models (90B30)

Related Items (6)

Dynamic performance measures for tools with multi-state wear processes and their applications for tool design and selection ⋮ An integrated model for optimisation of production and quality costs ⋮ Loss-based quality costs and inventory planning: General models and insights ⋮ The impact of uncertain yield on capacity acquisition in process plant networks ⋮ Dynamic performance and cost measures with setup determination under state-age-dependent deterioration ⋮ Shortening cycle times in multi-product, capacitated production environments through quality level improvements and setup reduction

Cites Work

• Lot sizes and setup frequency with learning in setups and process quality
• Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction
• Dynamic Process Improvement
• The reflected normal loss function

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