Extending Fuzzy QFD Methodology with GDM Approaches: An Application for IT Planning in Collaborative Product Development


INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, vol.17, no.4, pp.544-558, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 17 Issue: 4
  • Publication Date: 2015
  • Doi Number: 10.1007/s40815-015-0065-9
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.544-558
  • Keywords: Collaborative product development, Information technology planning, Quality function deployment, Fuzzy group decision making, Incomplete preference relations, Multi-preference relations, GROUP DECISION-MAKING, MULTIPLICATIVE PREFERENCE RELATIONS, QUALITY FUNCTION DEPLOYMENT, INCOMPLETE FUZZY, CONSENSUS MODEL, SUPPORT, SYSTEM, CHAIN, INFORMATION
  • Galatasaray University Affiliated: Yes


Collaborative product development (CPD) is a technology intensive process and effective planning in information technologies (IT) can improve the performance of CPD activities. Considering that quality function deployment (QFD) can be utilized as a planning tool for products and systems, the use of the QFD can enable IT systems to align their structure for CPD. In the QFD approach, the house of quality matrix is used for converting customer requirements into engineering characteristics. The challenge in this process is the profile of the inputs that are collected from the participants who provide feedback on customer requirements. Individual judgments of these participants can be in various formats, or can indicate preferences that are incomplete. This study aims to tackle with this issue by making use of an extended QFD methodology in CPD for IT planning. For this purpose, two group decision making (GDM) approaches are used to address both challenges of multiple preference formats and incomplete information. The validity of the developed IT planning model for CPD is tested with a case study at a Turkish software company using the two GDM approaches, and the obtained results are discussed. As customer requirements are important at every phase of CPD, the proposed model can help implementers to improve their decision processes.