Data-mining-based methodology for the design of product families

DOI10.1080/00207540410001691929zbMath1094.90517OpenAlexW1971722980MaRDI QIDQ3159644

Bruno Agard, Andrew Kusiak

Publication date: 16 February 2005

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

Full work available at URL: https://doi.org/10.1080/00207540410001691929

Mathematics Subject Classification ID

Production models (90B30)

Related Items (8)

Modularity analysis and commonality design: a framework for the top-down platform and product family design ⋮ Integration of rough set and neural network ensemble to predict the configuration performance of a modular product family ⋮ Data mining for improvement of product quality ⋮ Data mining: manufacturing and service applications ⋮ Mass customization of travel packages: Data mining approach ⋮ Integrating data mining and rough set for customer group-based discovery of product configuration rules ⋮ DAKA: design activity knowledge acquisition through data-mining ⋮ Growth Projections and Assortment Planning of Commodity Products Across Multiple Stores: A Data Mining and Optimization Approach

Cites Work

• Product Variety and Manufacturing Performance: Evidence from the International Automotive Assembly Plant Study
• Modelling the Costs and Benefits of Delayed Product Differentiation

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