2017 ◽  
Vol 23 (11) ◽  
pp. 11395-11399 ◽  
Author(s):  
Marziah Abdul Wahab ◽  
Awanis Romli ◽  
Al-Fahim Mubarak-Ali ◽  
Mazlina Abdul Majid

Author(s):  
Song Li ◽  
Yan Li ◽  
Wenqiang Li ◽  
Chen Chen

During product design process, conventional case-based reasoning (CBR) has shown significant applications in coping with new problems by recalling and reusing solutions in old context. However, conventional CBR still lacks effective methods to assist designers in generating creative design solutions of identified problems during modification stage. To make up for this deficiency, an extended CBR (ECBR) method characterized by two retrieval stages is proposed in this paper. The former retrieval stage is aimed to retrieve the most similar source case for design reusing, and the latter one is designed to assist designers in searching for relevant function units to generate creative design ideas for final design solution. A five-tuple knowledge model of product case is presented. It includes both specific design information for design reusing and abstract function units for generating creative design ideas. To effectively organize these case information, a hierarchy knowledge model of case base is established. It consists of case type layer, product case layer, and function unit layer. A corresponding retrieval strategy is presented to deal with different retrieval goals. To improve the performance of ECBR method in modification stage, the substance-attribute-function-cause analysis model and TRIZ tools are integrated together to aid problem analysis and problem-solving of retrieved product case. Finally, a new product conceptual design process is proposed based on ECBR method and the conceptual design of a smokeless barbecue equipment is employed as an example to verify the feasibility and effectiveness of ECBR method.


Author(s):  
Awanis Romli ◽  
Rossitza Setchi ◽  
Paul Prickett ◽  
Miguel P de la Pisa

Several methods and tools have been developed to facilitate sustainable product design, but they lack critical application of the ecological design (eco-design) process and economic costing, particularly during the conceptual design phase. This research study overcomes these deficiencies by integrating eco-design approaches across all phases of the product life cycle. It proposes an eco-design case-based reasoning tool that is integrated with the recently developed ecological quality function deployment method, which supports sustainable product design. The eco-design case-based reasoning tool is an intuitive decision-support tool that complements the ecological quality function deployment method and proposes solutions related to customers’ requirements and the environmental and economic impacts of the product. The ecological quality function deployment method ensures that customers’ needs are considered within the context of product sustainability. The novelty of this article is in the development of the eco-design case-based reasoning tool which is based on the premise that if experiences from the ecological quality function deployment process can be captured in some useful form, designers can refer to and learn from them. This approach helps industrial decision-makers propose solutions by reusing solutions from similar cases and from their past experiences. The novelty is in the way the cases are structured and new cases are generated, using life-cycle assessments, cost estimations, and information about related manufacturing processes and means of transportation. This article demonstrates the applicability of the proposed approach through an industrial case study.


2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Marziah Abdul Wahab ◽  
Nurul Aini Othman ◽  
Awanis Romli

Case Based Reasoning (CBR) is one of the artificial intelligent methodologies that is widely used in problem solving by reusing the most similar previous experiences stored in the library. A framework of ECO-CBR for Life Cycle Assessment data collection has been used and the process was carried out using SolidWorks program. The practicality of the tool has been validated using case study, which then provides solution. The output enable researchers to determine forecast error and forecast accuracy, by valuing the calculation from Total Carbon Footprint, Energy Consumption, Air Acidification, and Water Eutrophication. ECO-CBR is able to assist designers in product design. Due to the limitation of environmental impact consideration in product sustainability, there is a demand to propose a tool that can assist designers to reduce environmental impact of product design at early stage. The model works as an essential guideline to lessen repeated mistakes in the product development process and help designers measure the risks before concluding ideal decisions. Minor errors that occur through the study showed that ECO-CBR is reliable to be implemented in order to find a better solution.


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