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Application of Grey Relational Analysis to Decision-Making during Product Development

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Title: Application of Grey Relational Analysis to Decision-Making during Product Development
Language: English
Authors: Hsiao, Shih-Wen, Lin, Hsin-Hung, Ko, Ya-Chuan
Source: EURASIA Journal of Mathematics, Science & Technology Education. Jun 2017 13(6):2581-2600.
Availability: EURASIA. Sehit Osman Avci Mah. Malazgirt 1071 Cad. No:48/30, Etimesgut, Ankara, TR06796, Turkey. Tel: +90-312-202-8192; Fax: +90-312-222-8483; e-mail: editor.eurasiajournal@gmail.com; Web site: http://www.ejmste.com
Peer Reviewed: Y
Page Count: 20
Publication Date: 2017
Document Type: Journal Articles
Reports - Research
Descriptors: Decision Making, Prediction, Design, Production Techniques, Focus Groups, Evaluation Criteria, Case Studies
DOI: 10.12973/eurasia.2017.01242a
ISSN: 1305-8223
Abstract: A multi-attribute decision-making (MADM) approach was proposed in this study as a prediction method that differs from the conventional production and design methods for a product. When a client has different dimensional requirements, this approach can quickly provide a company with design decisions for each product. The production factors of a product are usually complex and difficult to predict. A focus group that comprises seven professional product designers was formed in this study to determine those exact assessment criteria based on their practical experiences of pneumatic door closer designs. These criteria include operability, manufacturability, style, creativity, and cost. We recommend using grey-level designs to assess and resolve the product design and production planning problems. A case study on pneumatic door closers was conducted and a weighted value was assigned to each of the assessment criteria. New product series were created for the verification of the proposed design approach. In a grey-level design assessment, the design ideas of clients and designers are represented by grey levels. After that, a grey relational analysis is used to determine those factors that are valued by clients for predicting the priority of each of the design elements for a product series. The proposed approach can assist designers in predicting a product's design quality and recommend the optimal alternative within a product series.
Abstractor: As Provided
Number of References: 41
Entry Date: 2017
Access URL: https://www.iserjournals.com/journals/eurasia/articles/10.12973/eurasia.2017.01242a
Accession Number: EJ1144414
Database: ERIC
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  Data: EURASIA. Sehit Osman Avci Mah. Malazgirt 1071 Cad. No:48/30, Etimesgut, Ankara, TR06796, Turkey. Tel: +90-312-202-8192; Fax: +90-312-222-8483; e-mail: editor.eurasiajournal@gmail.com; Web site: http://www.ejmste.com
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  Data: A multi-attribute decision-making (MADM) approach was proposed in this study as a prediction method that differs from the conventional production and design methods for a product. When a client has different dimensional requirements, this approach can quickly provide a company with design decisions for each product. The production factors of a product are usually complex and difficult to predict. A focus group that comprises seven professional product designers was formed in this study to determine those exact assessment criteria based on their practical experiences of pneumatic door closer designs. These criteria include operability, manufacturability, style, creativity, and cost. We recommend using grey-level designs to assess and resolve the product design and production planning problems. A case study on pneumatic door closers was conducted and a weighted value was assigned to each of the assessment criteria. New product series were created for the verification of the proposed design approach. In a grey-level design assessment, the design ideas of clients and designers are represented by grey levels. After that, a grey relational analysis is used to determine those factors that are valued by clients for predicting the priority of each of the design elements for a product series. The proposed approach can assist designers in predicting a product's design quality and recommend the optimal alternative within a product series.
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      – SubjectFull: Design
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