Acharya, S and Ghadge, K and Ranjan, BSC and Devadula, S and Chakrabarti, A (2020) Evaluating the effectiveness of InDeaTe tool in supporting design for sustainability. In: Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, 34 (1). pp. 45-54.
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Abstract
In today's aggressive global market, innovation is key for success and design solutions require not only to achieve competitive edge, but also to address the growing environmental, social, and economic needs of the community at large. Consideration of these three pillars of sustainability makes a design inclusive, and life cycle thinking is found to be a promising approach across the literature. However, most supports for design address certain facets or aid singular tasks, and the use of design methods and tools, which have the potential to significantly improve the design process, is low due to inappropriate use and selection of these methods. InDeaTe (Innovation Design database and Template) is a holistic, knowledge-driven, computer-based tool for design of sustainable systems, such as products, manufacturing systems andservice systems and has been developed to address and integrate the aspects of sustainability on a singular design platform. It comprises of the generic design process Template that imbibes life cycle thinking into the process by incorporating consideration of every life cycle phase in each design stage, where design activities are performed iteratively. It further supports the design process by aiding the use and selection of appropriate design methods and tools in concurrence with the primary motivation of improving sustainability of the system with the aid of the InDeaTe Design Database. This paper discusses the ontological underpinnings behind the conceptualization of the InDeaTe methodology and the development of the supporting tool. The paper further reports empirical findings from six different case studies conducted for evaluating the effectiveness of InDeaTe tool in supporting design for sustainability (DfS). The results show that InDeaTe tool has potential in supporting DfS. © Cambridge University Press 2020.
Item Type: | Journal Article |
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Publication: | Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM |
Publisher: | Cambridge University Press |
Additional Information: | The copyright for this article belongs to Cambridge University Press |
Keywords: | Ecodesign; International trade; Iterative methods; Life cycle; Manufacture; Sustainable development, Appropriate designs; Competitive edges; Computer based tools; Design solutions; Empirical findings; Innovation design; Life cycle thinking; Sustainable systems, Product design |
Department/Centre: | Division of Mechanical Sciences > Centre for Product Design & Manufacturing |
Date Deposited: | 03 Nov 2021 11:09 |
Last Modified: | 03 Nov 2021 11:09 |
URI: | http://eprints.iisc.ac.in/id/eprint/65626 |
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