Construct method of predicting satisfaction model of customer requirements based on product technical characteristics. (1st January 2012)
- Record Type:
- Journal Article
- Title:
- Construct method of predicting satisfaction model of customer requirements based on product technical characteristics. (1st January 2012)
- Main Title:
- Construct method of predicting satisfaction model of customer requirements based on product technical characteristics
- Authors:
- Yang, Xiaoan
Cao, Hongkui
Liu, Huifen
Deng, Qian - Abstract:
- To deal with product technical characteristics configuration of customer requirements is one key links of product design process. In order to improve customer satisfactions for product, relationship for mapping between customer requirements and product technical characteristics needed to be analysed and objective relatively mapping model to be constructed. A novel approach based on customer satisfactions information digging from case products and satisfaction information of expert technical characteristics was put forward in this paper. Technical characteristics evaluation values were expressed by rough number, technical characteristics target sequence was determined on the basis of efficiency, cost type and middle type in this method, then the deviation and satisfaction between technical characteristics evaluation values and target sequence were calculated, finally measuring satisfaction degree from customer to the various requirements of case products according to seven cascades. Take the satisfactions of customers and technical characteristics of 16 electric bicycles as training samples of BP network, put into use MATLAB software simulation to obtain the mapping model of customer requirements and technical characteristics, which could predict customer requirements satisfaction degree corresponding with technical characteristic configuration of product design schemes.
- Is Part Of:
- International journal of manufacturing technology and management. Volume 25:Number 4(2012)
- Journal:
- International journal of manufacturing technology and management
- Issue:
- Volume 25:Number 4(2012)
- Issue Display:
- Volume 25, Issue 4 (2012)
- Year:
- 2012
- Volume:
- 25
- Issue:
- 4
- Issue Sort Value:
- 2012-0025-0004-0000
- Page Start:
- 201
- Page End:
- 212
- Publication Date:
- 2012-01-01
- Subjects:
- product customer satisfaction -- rough number -- BP neural network -- customer requirements -- product technical characteristics
Manufacturing processes -- Periodicals
Manufacturing processes -- Automation -- Periodicals
Production management -- Periodicals
670.427068 - Journal URLs:
- http://www.inderscience.com/jhome.php?jcode=ijmtm ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1368-2148
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8858.xml