Physics-based trade-off curves to develop a control access product in set-based concurrent engineering environment
Purpose: This paper aims to present a process to generate physics-based trade-off curves (ToCs) to facilitate lean product development processes by enabling two key activities of set-based concurrent engineering (SBCE) process model that are comparing alternative design solutions and narrowing down the design set. The developed process of generating physics-based ToCs has been demonstrated via an industrial case study which is a research project. Design/methodology/approach: The adapted research approach for this paper consists of three phases: a review of the related literature, developing the process of generating physics-based ToCs in the concept of lean product development, implementing the developed process in an industrial case study for validation through the SBCE process model. Findings: Findings of this application showed that physics-based ToC is an effective tool to enable SBCE activities, as well as to save time and provide the required knowledge environment for the designers to support their decision-making. Practical implications: Authors expect that this paper will guide companies, which are implementing SBCE processes throughout their lean product development journey. Physics-based ToCs will facilitate accurate decision-making in comparing and narrowing down the design-set through the provision of the right knowledge environment. Originality/value: SBCE is a useful approach to develop a new product. It is essential to provide the right knowledge environment in a quick and visual manner which has been addressed by demonstrating physics knowledge in ToCs. Therefore, a systematic process has been developed and presented in this paper. The research found that physics-based ToCs could help to identify different physics characteristics of the product in the form of design parameters and visualise in a single graph for all stakeholders to understand without a need for an extensive engineering background and for designers to make a decision faster.
Year of publication: |
2021
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Authors: | Araci, Zehra Canan ; Al-Ashaab, Ahmed ; Garcia Almeida, Cesar |
Published in: |
International Journal of Lean Six Sigma. - Emerald, ISSN 2040-4166, ZDB-ID 2553041-0. - Vol. 13.2021, 4 (24.08.), p. 824-846
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Publisher: |
Emerald |
Saved in:
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