Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Production management systems for one-of-a-kind products
Computers in Industry - Special issue: ATPMS '92
Production planning and control in a virtual one-of-a-kind production company
Computers in Industry
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Design Rules: The Power of Modularity Volume 1
Design Rules: The Power of Modularity Volume 1
An intelligent zone-based delivery scheduling approach
Computers in Industry
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Product platform design and customization: Status and promise
Artificial Intelligence for Engineering Design, Analysis and Manufacturing - SPECIAL ISSUE: Platform product development for mass customization
A configuration design based method for platform commonization for product families
Artificial Intelligence for Engineering Design, Analysis and Manufacturing - SPECIAL ISSUE: Platform product development for mass customization
Integrated Computer-Aided Engineering
A new process knowledge representation approach using parameter flow chart
Computers in Industry
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One-of-a-kind production (OKP) aims at manufacturing products based on the individual customer requirements while maintaining the high quality and efficiency of mass production. This paper presents a customer-centric product modeling scheme to model OKP product families by considering the relations between customer needs and OKP products. In this modeling scheme, an OKP product family is modeled by an AND-OR tree. In order to investigate the relations between customer needs and OKP products, data mining techniques are employed to achieve knowledge from the historical data. First, OKP products and customer requirements are grouped into product patterns and customer patterns, respectively, using a fuzzy pattern clustering method. Then, hybrid attribute reduction is carried out based on rough set theory to remove the irrelevant attributes for each product pattern. Finally, the relationships between product patterns and customer patterns are obtained. Based on the achieved knowledge, the different patterns of OKP products are modeled by different sub-AND-OR trees trimmed from the original AND-OR tree. Since only partial product descriptions in a product family are used to identify the optimal custom product based on customer requirements, the efficiency of custom product identification process can be improved considerably.