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Concurrent Engineering Design and Manufacturing
Published in Weiming Shen, Douglas H. Norrie, Jean-Paul A. Barthès, Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing, 2019
Weiming Shen, Douglas H. Norrie, Jean-Paul A. Barthes
Configuration Design is defined by Carlson-Skalak and coworkers (1998) as “the engineering task in which a configuration is created by assembling off-the-shelf components into a functional system.” The process consists mainly of exploring a large solution space for locating feasible combinations of components. The search can be helped by using different techniques like: - reasoning about the function of a component eventually abstracted at different levels, which was promoted by McDermott (1982) or Mittal and coworkers (1986),- applying neural network approaches,- using grammars as done by Schmidt and Cagan (1997),- using genetic algorithms, as proposed by Brown and coworkers (1993), Carlson-Skalak et al. (1998), Gero and Kazakov (1998), Jo and Gero (1998).
Engineering product design and development
Published in Riadh Habash, Green Engineering, 2017
Configuration design is a form of design where a set of predefined components is given and an assembly of selected components is sought that satisfies a set of requirements and obeys a set of constraints. Shape and general dimensions of components are established in this step. According to Mittal and Frayman (1989), the configuration of an artifact is a set of interconnected components that are chosen from predefined sets of component types called the catalog of component types. Specifically, a component is described by a set of properties, ports for connecting it to other components, constraints at each port that describe the components that can be connected at that port, and other structural constraints.
Configuration Design: An Overview
Published in Jay Liebowitz, The Handbook of Applied Expert Systems, 2019
Timothy Paul Darr, Clive L. Dym
Broadly speaking, the configuration-design problem is defined as that of selecting parts to obtain some specified functionality subject to: (1) constraints that restrict the allowable combinations and topologies of the parts, and (2) optimality criteria. A solution is a set of parts that exhibit the required functions, meet the constraints, and is optimal in some sense, even though that might not necessarily be globally optimal. In this section, we define the building blocks of configuration design, including what we mean by functions exhibited by parts, design attributes, design constraints, and design specifications.
A factorisation-based recommendation model for customised products configuration design
Published in International Journal of Production Research, 2023
Huifang Zhou, Shuyou Zhang, Lemiao Qiu, Zili Wang, Kerui Hu
Configuration modelling is the process of organising and expressing configuration knowledge such as configurable components and relationships between them to obtain a configuration model (Hong, Xue, and Tu 2010). Configuration solving is the process of instantiating the configurable components and combining them to obtain a product configuration design scheme based on the configuration model driven by customer requirements, which refers to the development and application of algorithms, methods and tools to solve product configuration tasks (Zhang 2014). According to existing research, from the perspective of the computerised expression of configuration knowledge and configuration solving algorithm, product configuration design methods can be classified into rule-based methods (Chen and Wang 2009; Song and Kusiak 2009; Sasikumar 2015), structure-based methods (Jiao et al. 1998; Jiang, Jian-Wei, and Pan 2008), constraint-based methods (Jannach and Zanker 2011; Wang, Ng, and Song 2011; Yang, Dong, and Chang 2012), case-based methods (Tseng, Chang, and Chang 2005; Zhu et al. 2015; Wang, Gong, et al. 2017), ontology-based methods (Yang, Dong, and Miao 2008; Yang et al. 2009), and concurrent configuration methods (Pitiot et al. 2013; Pitiot et al. 2020; Campos Sabioni, Daaboul, and Le Duigou 2022; Gadalla and Xue 2021), etc.
A multi-objective joint optimisation method for simultaneous part family formation and configuration design in delayed reconfigurable manufacturing system (D-RMS)
Published in International Journal of Production Research, 2023
Sihan Huang, Jiaxin Tan, Yuqian Lu, Shokraneh K. Moghaddam, Guoxin Wang, Yan Yan
RMS/D-RMS is designed around a specific part family (Hilger, Harhalakis, and Proth 1989; Huang, Wang, Nie, et al. 2022; Huang and Yan 2019). Configuration design is the process during which the required demand of a specific part family is satisfied by using a group of machines and considering the interconnections among them. The reconfigurability and production efficiency of a specific RMS/D-RMS can be measured by how well these interconnections are established. Generally, machine reconfiguration which is a fundamental building block of a scalable (Cerqueus and Delorme 2023; Koren, Wang, and Gu 2017), convertible (Huang, Wang, and Yan 2019; Koren 2013) manufacturing system is performed as a solution for handling demand fluctuations. These fluctuations can be the result of changes in production volume. In this case, the scalability of RMS had been shown to have an important role when designing system configuration (Moghaddam, Houshmand, and Fatahi Valilai 2018). Also, in the intelligent/smart manufacturing era, the high level of product variety is yet another major reason for customers’ demand variations. Focusing on RMS convertibility could be of great use in case of parts’ diversity.