- Title
- Experience based decisional DNA (DDNA) to support sustainable product design
- Creator
- Ahmed, Muhammad Bilal; Sanin, Cesar; Szczerbicki, Edward
- Relation
- KES-SDM: International Conference on Sustainable Design and Manufacturing. Proceedings of the 5th International Conference on Sustainable Design and Manufacturing (KES-SDM-18) (Gold Coast, Australia 24-26 June, 2018) p. 174-183
- Publisher Link
- http://dx.doi.org/10.1007/978-3-030-04290-5_18
- Publisher
- Springer Nature
- Resource Type
- conference paper
- Date
- 2019
- Description
- This paper presents the idea of providing engineering design knowledge to designers working on sustainable product design and development process. The new product development process often requires significant amount of design knowledge which can be saved and recalled by designers during the design process. This knowledge is very important for successful sustainable product development as it can include material selection, product geometric features and process parameters, etc. This paper presents a decision support technique for recalling engineering design knowledge which can be useful for small and medium enterprises (SMES) involved in new product design and development. Proposed system is based on smart knowledge management technique called Set of Experience Knowledge Structure (SOEKS) and Decisional DNA. The SOEKS is a flexible and structured knowledge representation structure used to gain and store the experiential knowledge. The article includes a case study explaining the presented approach. Decision-making in industrial design will benefit from this study, as it includes capturing, storing and reusing of experience and knowledge of engineering design processes.
- Subject
- sustainable product development; decisional dna; set of experience knowledge structure; product design; product geometric features; material selection; SDG 9; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1469084
- Identifier
- uon:48150
- Identifier
- ISBN:9783030042899
- Language
- eng
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