Architectures for product families
Computers in Industry - Special issue: co-operation in manufacturing systems, CIM at work
Guest Editors' Introduction: Understanding the Nature of Design
IEEE Expert: Intelligent Systems and Their Applications
Product Configuration Frameworks-A Survey
IEEE Intelligent Systems
Graph Grammar Engineering with PROGRES
Proceedings of the 5th European Software Engineering Conference
PROGRESS: A VHL-Language Based on Graph Grammars
Proceedings of the 4th International Workshop on Graph-Grammars and Their Application to Computer Science
Special Issue: Configuration Design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Product platform design and customization: Status and promise
Artificial Intelligence for Engineering Design, Analysis and Manufacturing - SPECIAL ISSUE: Platform product development for mass customization
Applying case-based reasoning for product configuration in mass customization environments
Expert Systems with Applications: An International Journal
Information Processing and Management: an International Journal
A graph rewriting system for process platform planning
Decision Support Systems
Hi-index | 0.00 |
Earlier research on product family design (PFD) often highlights isolated and successful empirical studies with a limited attempt to explore the modeling and design support issues surrounding this economically important class of engineering design problems. This paper proposes a graph rewriting system to organize product family data according to the underpinning logic and to model product derivation mechanisms for PFD. It represents the structural and behavioral aspects of product families as family graphs and related graph operations, respectively. The derivation of product variants becomes a graph rewriting process, in which family graphs are transformed to variant graphs by applying appropriate graph rewriting rules. The system is developed in the language of programmed graph rewriting systems or PROGRES, which supports the specification of hierarchical graph schema and parametric rewriting rules. A meta model is defined for family graphs to factor out those entities common to all product families. A generic model is defined to describe all specific entities relevant to particular families. An instance model describes all product variants for individual customer orders. A prototype of a graph-based PFD system for office chairs is also developed. The system can provide an interactive environment for customers to make choices among product offerings. It also facilitates design automation of product families and enhances interactions and negotiations among sales, design, and manufacturing.