Using quality function deployment to conduct vendor assessment and supplier recommendation for business-intelligence systems. (June 2015)
- Record Type:
- Journal Article
- Title:
- Using quality function deployment to conduct vendor assessment and supplier recommendation for business-intelligence systems. (June 2015)
- Main Title:
- Using quality function deployment to conduct vendor assessment and supplier recommendation for business-intelligence systems
- Authors:
- Wang, Chih-Hsuan
- Abstract:
- Highlights: A QFD (quality function deployment) based framework is presented. Evaluation criteria consist of marketing requirements and technical attributes. Various fuzzy MCDM (multi-criteria decision making) schemes are fused. Vendor assessment and supplier recommendation are accomplished. Supplier recommendation is conducted in an unsupervised way. BI (business intelligence) vendors are visualized to generate managerial insights Abstract: Business intelligence (BI) has been recognized as an important enterprise information system to help decision makers achieve performance measurement and management. Generally, typical BI users consist of financial analysts, marketing planners, and general managers. However, most of them are not familiar with BI's core technologies. In order to help corporate executives better assess BI vendors, evaluation criteria are separated into marketing requirements (MRs) and technical attributes (TAs), respectively. In particular, a fuzzy MCDM (multi-criteria decision making) based QFD (quality function deployment) is proposed as follows: (1) fuzzy Delphi is used to aggregate the performance scores of BI vendors, (2) fuzzy DEMATEL (decision making and trial laboratory) is conducted to recognize the causalities between MRs and TAs, and (3) fuzzy AHP (analytical hierarchy process) is employed to recommend optimal BI systems. For better benchmarking, the strengths and weaknesses of three competitive BI vendors (i.e. SAP, SAS, and Microsoft) areHighlights: A QFD (quality function deployment) based framework is presented. Evaluation criteria consist of marketing requirements and technical attributes. Various fuzzy MCDM (multi-criteria decision making) schemes are fused. Vendor assessment and supplier recommendation are accomplished. Supplier recommendation is conducted in an unsupervised way. BI (business intelligence) vendors are visualized to generate managerial insights Abstract: Business intelligence (BI) has been recognized as an important enterprise information system to help decision makers achieve performance measurement and management. Generally, typical BI users consist of financial analysts, marketing planners, and general managers. However, most of them are not familiar with BI's core technologies. In order to help corporate executives better assess BI vendors, evaluation criteria are separated into marketing requirements (MRs) and technical attributes (TAs), respectively. In particular, a fuzzy MCDM (multi-criteria decision making) based QFD (quality function deployment) is proposed as follows: (1) fuzzy Delphi is used to aggregate the performance scores of BI vendors, (2) fuzzy DEMATEL (decision making and trial laboratory) is conducted to recognize the causalities between MRs and TAs, and (3) fuzzy AHP (analytical hierarchy process) is employed to recommend optimal BI systems. For better benchmarking, the strengths and weaknesses of three competitive BI vendors (i.e. SAP, SAS, and Microsoft) are concurrently visualized through displaying a line diagram (in terms of TAs) and a radar diagram (in terms of MRs). More importantly, experimental results demonstrate that supplier assessment and supplier recommendation have been successfully accomplished. … (more)
- Is Part Of:
- Computers & industrial engineering. Volume 84(2015)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 84(2015)
- Issue Display:
- Volume 84, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 84
- Issue:
- 2015
- Issue Sort Value:
- 2015-0084-2015-0000
- Page Start:
- 24
- Page End:
- 31
- Publication Date:
- 2015-06
- Subjects:
- Business intelligence -- Vendor assessment -- Supplier recommendation -- QFD
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2014.10.005 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5683.xml