Using quality function deployment to conduct vendor assessment and supplier recommendation for business-intelligence systems. (June 2015)

• Record Type: Journal Article
• Authors: Wang, Chih-Hsuan
• Is Part Of: Computers & industrial engineering. Volume 84(2015)
• 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
• DOI: 10.1016/j.cie.2014.10.005
• Languages: English
• ISSNs: 0360-8352

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) 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.