A method for engineering design change analysis using system modelling and knowledge management techniques

Fei, Genyuan; Gao, James; Owodunni, Oladele; Tang, Xiaoqing

doi:10.1080/0951192x.2011.562544

Cited by 47 publications

(23 citation statements)

References 24 publications

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“…They are being increasingly used in systems engineering for product modularisation (Stone, Wood, and Crawford 2000;Alizon et al 2007;Ulrich and Eppinger 2008), for designing product platform architectures (Luh, Ko, and Ma 2011;Li et al 2012), for analysing technical interactions either within products (Whitfield, Smith, and Duffy 2002;Bonjour et al 2009;Helmer, Yassine, and Meier 2010) or within the project organisation (Pimmler and Eppinger 1994;Sosa, Eppinger, and Rowles 2003;Arundacahawat, Roy, and Al-Ashaab 2011), for analysing change propagation (Clarkson, Simons, and Eckert 2004;Keller, Eckert, and Clarkson 2009;Fei et al 2011;Cheng and Chu 2012) and for representing the structure of collective design competencies .…”

Section: Systems Architecture Modelling Researchmentioning

confidence: 99%

A method for jointly drawing up the functional and design architectures of complex systems during the preliminary system-definition phase

Bonjour

Deniaud

Micaëlli

2013

Journal of Engineering Design

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In systems engineering, determining a system's architecture is a crucial part of the preliminary systemdefinition phase because this architecture greatly impacts the quality of the system, the way the subsequent phases of the design process are organised and the overall performance of this process. Consequently, systems architects need methods for defining the couplings of modules (or sub-systems) and for estimating the impact of allocation decisions on candidate system architectures. This paper presents a method that helps simultaneously define the functional and design architectures of complex systems. Starting from an allocation matrix, or domain mapping matrix, which represents the couplings between the elements of two domains (functions vs. components), the method generates a sesign structure matrix (DSM) for each domain. A clustering algorithm is then applied to each DSM in order to generate a rearranged architecture. This method can be used in the synthesis process to provide architectural output that then forms the input data for the systems analysis process, where these data will help systems architects assess candidate architectures. We illustrate the method via an industrial case study focusing on a new automobile engine development project.

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Section: Systems Architecture Modelling Researchmentioning

confidence: 99%

A method for jointly drawing up the functional and design architectures of complex systems during the preliminary system-definition phase

Bonjour

Deniaud

Micaëlli

2013

Journal of Engineering Design

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“…1a [15][16][17][18][19] establishes matrices or networks that represent dependency relationships among ECs and related items, functions or design parameters. They are separated from existing PDM databases that support operational product data for ECs and product development (see the PDM database in Fig.…”

Section: Related Workmentioning

confidence: 99%

Integration of engineering change objects in product data management databases to support engineering change analysis

2015

Computers in Industry

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“…Hamraz et al [2013] reported that ECs are essential in complex product development and that their management is a crucial discipline for engineering industries. Fei et al [2011] believed that most ECs occur in the manufacturing phase À À À the later stage of product development. Change issues arise in the design phase, especially between the functional and structural domains.…”

Section: The Application Of Engineering Changementioning

confidence: 99%

Change Control of Key Capability Factors in Product Research and Development

Yeh

Lee

2016

Int. J. Innovation Technol. Management

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Change control is considered as the prime power and obstruction of growth. During product research and development, it is di±cult to avoid various engineering changes (ECs). Appropriate control of ECs can improve the design and quality of products. This study examines aerospace products from development to production over 17 years including 1180 cases of EC. We use statistical methods to analyze the central and dispersion tendency of the products research and development and then test it to¯nd which key capability factors are important to EC. Some required ECs for a typical aerospace product development are investigated. In this study, key factors for aerospace products are classi¯ed into nine categories: Structure, subsystem, electrics, control, electronics, interface, manufacture, engine and others. The results show that the life cycle of electronic parts and time to implement ECs is four to seven years and the electronics manufacturer must improve risk management in product research and development stages to reduce engineering changes e®ectively. Further, a regression model is developed to recompose integrated planning for controlling the cost and scheduling. Thus, the communication of various designs and the control of ECs can be improved in the initial stages of product research and development.

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A method for engineering design change analysis using system modelling and knowledge management techniques

Cited by 47 publications

References 24 publications

A method for jointly drawing up the functional and design architectures of complex systems during the preliminary system-definition phase

A method for jointly drawing up the functional and design architectures of complex systems during the preliminary system-definition phase

Integration of engineering change objects in product data management databases to support engineering change analysis

Change Control of Key Capability Factors in Product Research and Development

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