Computational Intelligence in Product Design Engineering: Review and Trends

Abstract

Product design engineering is undergoing a transformation from informal and largely experience-based discipline to a science-based domain. Computational intelligence offers models and algorithms that can contribute greatly to design formalization and automation. This paper surveys computational intelligence concepts and approaches applicable to product design engineering. Taxonomy of the surveyed literature is presented according to the generally recognized areas in both product design engineering and computational intelligence. Some research issues that arise from the broad perspective presented in the paper have been signaled but not fully pursued. No survey of such a broad field can be complete, however, the material presented in the paper is a summary of state-of-the-art computational intelligence concepts and approaches in product design engineering.

Risk-Assessment for Equipment Operating on the Lunar Surface

“…Recent progress in data analysis has led to notable applications of data-mining algorithms in product development (Kusiak and Salustri, 2007), mass customization (da Cunha, Agard and , discovery of emerging faults (Kusiak and Shah, 2006), and genetics (Shah and Kusiak, 2007). These applications exhibit characteristics similar to dynamic individual risk discussed here for operational mechanical components.…”

Automatic configuration of a powertrain assembly line layout based on a KBE approach

“…There is a huge number of systems that have been proposed to assist human designers in this task. Kusiak and Salustri [4] provide an exhaustive review of the experimental applications of CI to the product conceptual design phase. Cederfeldt [5] points out the following requirements that a DA system should meet: low effort of developing, low level of investment, user readable and understandable knowledge, transparency, scalability, flexibility, longevity and ease of use.…”

“…conceptualization) [4]. Knowledge formalization techniques may include graphical representation of product architecture (e.g.…”

A Spatiotemporal Mereotopology-Based Theory for Qualitative Description in Assembly Design and Sequence Planning

“…As such, Demoly et al [1] have described the current stakes in engineering design, which highlight emerging needs in proactive engineering based on qualitative description of lifecycle knowledge, The product-process engineering is currently changing from an informal approach, based on experience, to a science-based approach [2]. Moreover the dynamic aspect of the design process has not been yet taken into account in an appropriate manner [3].…”

“…Based on these research stakes, new research efforts have to be addressed on formalism and theory in engineering design in order to represent product and lifecycle knowledge in a qualitative and machine-interpretable manner [2]. Here, the major objective is to propose and describe a region-based theory called mereotopology for assembly-oriented design process.…”