Publication | Closed Access
Development of modular products
189
Citations
5
References
1996
Year
EngineeringIndustrial EngineeringModular ProductsModular TechnologySocial SciencesEquipment DesignModule DesignProduct DevelopmentSystems EngineeringModularityModular DesignDesignComputer EngineeringGraphical RepresentationSoftware DesignIndustrial DesignModular ConstructionProduction EngineeringProduct Modeling
Modular products are assemblies built from distinct building blocks, and while companies seek to streamline design and reduce costs, modularity has largely been treated abstractly and underexplored in industry, with electronics MCMs focusing on component spacing rather than product variety. This paper develops a methodology for determining modular products while considering cost and performance. The authors present a graphical representation of modularity types, use a heuristic to identify module components, and apply a rule‑based fuzzy model with a fuzzy neural network to analyze the cost‑performance trade‑off. The approach is illustrated with the example of an MCM.
Modular products refer to products, assemblies, and components that fulfill various functions through the combination of distinct building blocks. As companies strive to rationalize engineering design, manufacturing, and support processes and to produce a large variety of products at lower costs, modularity is becoming a focus. However, modularity has been treated in the literature at an abstract level, and it has not been satisfactorily explored in industry. Furthermore, the modular technology in electronics such as multichip modules (MCMs) aims at decreasing the average spacing between integrated circuits rather than increasing the variety of product characteristics of other types of designs. This paper develops a methodology for determining modular products while considering cost and performance. To interpret various types of modularity such as component-swapping, component-sharing, and bus modularity, a graphical representation of the product modularity is presented, while the module components of a product set are determined by a heuristic approach. With the module components known, a rule-based fuzzy representation of the module development problem is presented, while the tradeoff between performance and cost of modules is analyzed by a fuzzy neural network approach. The approach is illustrated with the example of an MCM.
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