Optimization of product configuration design using functional requirements and constraints

Chen, Li-Chieh; Lin, Li

doi:10.1007/s00163-002-0015-z

Cited by 34 publications

(10 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ulrich and Eppinger (2003 Borg et al (1999), Chen and Lin (2002), and Smith and Clarkson (2005), for example, have recently made other contributions and insights to extend the knowledge within the area of evaluation and decision-making. Borg et al (1999) propose an approach to foresee unintended life-cycle consequences during mechanical design in order to guide the designer when making decisions.…”

Section: Author(s)mentioning

confidence: 97%

Qualitative modelling of potential failures: on evaluation of conceptual design

Derelöv

2008

Journal of Engineering Design

View full text Add to dashboard Cite

Decisions made during the conceptual phase of the design process are crucial for long-term economic success. The correction of late-identified failure is often both difficult and time consuming, and may have a negative effect on performance. In the prevalent design methodologies, there are shortages concerning systematic and objective methods to evaluate solutions with respect to weak spots and errors, especially early in the design process. The objective of this article is to strengthen the evaluation methodology by examining the possibilities to identify potential problems within conceptual solutions, and to develop a means that facilitates the evaluation regarding this matter. The results presented in this article may be divided into two parts: a descriptive part where a generic approach of modelling the failure behaviour is proposed and a prescriptive part where a foundation of a methodology for identification of potential failure is outlined.

show abstract

Section: Author(s)mentioning

confidence: 97%

Qualitative modelling of potential failures: on evaluation of conceptual design

Derelöv

2008

Journal of Engineering Design

View full text Add to dashboard Cite

show abstract

“…where CI is the consistency index; RI is the average random consistency index (as shown in Table 2); and λis the eigenvalue of the matrix. When CR < 0.1, it means that the judgment matrix is acceptable [19]. (4) Calculate the weight of the scheme layer to the target layer P. e equation is presented as follows:…”

Section: 3mentioning

confidence: 99%

Research on Innovative Design and Evaluation of Agricultural Machinery Products

Wang

Zhang

2019

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In order to meet the user’s increasing demands for integrated quality of agricultural machinery products, a new KE-TRIZ approach based on Kansei engineering (KE) and theory of inventive problem solving (TRIZ) was proposed. Designers used semantic difference (SD) method and principal component analysis (PCA) method to quantify and reduce the dimensions of the extracted perceptual vocabulary, which aimed to select the comprehensive variables that represented the user’s needs. TRIZ theory was used in the product emotional intention to elaborate the invention principle of products’ appearance structure and functional technology, and improvement explanation was put forward based on further contradiction analysis. Then, the industrial design theory was combined with the innovation design of agricultural machinery products. In order to explain the reliability of innovative design, the analytic hierarchy process (AHP) was used in objective assessment. Finally, a walking rotary cultivator design was used as a case to check the above methods. The research can effectively adjust the contradiction between rationality and sensibility in products and apply it to the product equipment with function as the main part to design the products of comprehensive quality that conform to the trend of social aesthetics so as to form the brand effect of high added value. The results showed that these methods were effective and feasible for the innovative design of agricultural machinery products.

show abstract

“…Fohn et al (1995) used constraint-based modelling and interactive constraint satisfaction approaches to construct a personal computer configuration system to fulfil customer requirements. Then, a configuration task is always restricted as a constraint-satisfaction problem (CSP) (Chen and Lin 2002, Aldanondo et al 2003, Xie et al 2005, where components and their ports are the variables and the constraints restrict the way that components can be integrated in a solution. Boutilier et al (2004) regard product configuration as a process of constrained optimisation, and consider the specification of CSP: qualitative and quantitative preference, coupled and decoupled constraints.…”

Section: Product Configuration Resolvingmentioning

confidence: 99%

Multi-objective product configuration involving new components under uncertainty

Liu

2008

Journal of Engineering Design

View full text Add to dashboard Cite

Product configuration is a process of selecting suitable and compatible components for a product, arranging them, and then seeking one or more optimal options. To date, many researchers have studied its modelling, representing methods, and optimising approaches. However, uncertainty while involving new components, uncertain factors in supply chain and market, and imprecision and vagueness in customer requirements for configuration are always ignored. This paper identifies the uncertainty in configuration and proposes a fuzzy multi-objective optimisation algorithm to seek an optimal configuration scheme considering uncertainty. Multi-objective evaluation criteria are utilised to assess lifecycle cost, time to market, and serviceability of configuration options, Pareto optimality is applied to resolve conflicts between different configuration goals, a fuzzy set method is used to deal with imprecise estimated parameter values and a two-aspect judgment is proposed to balance expected values and worst case values in configuration. Compatibilities between components are also considered. The importance of optimisation objectives is determined according to different customers' requirements, and the desired configuration option is obtained through comparing the results. Finally, the effectiveness of the proposed method is illustrated through a case of configuring laptop computers, and a sensitivity analysis.

show abstract

Optimization of product configuration design using functional requirements and constraints

Cited by 34 publications

References 2 publications

Qualitative modelling of potential failures: on evaluation of conceptual design

Qualitative modelling of potential failures: on evaluation of conceptual design

Research on Innovative Design and Evaluation of Agricultural Machinery Products

Multi-objective product configuration involving new components under uncertainty

Contact Info

Product

Resources

About