Robot selection using an integrated approach based on quality function deployment and fuzzy regression

Karsak E. E.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, vol.46, no.3, pp.723-738, 2008 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 46 Issue: 3
  • Publication Date: 2008
  • Doi Number: 10.1080/00207540600919571
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.723-738
  • Keywords: robot selection, fuzzy linear regression, quality function deployment, house of quality, multi-criteria decision-making, technology management, DECISION-MAKING APPROACH, PRIORITIZE DESIGN REQUIREMENTS, DATA ENVELOPMENT ANALYSIS, MODELS, FRAMEWORK
  • Galatasaray University Affiliated: Yes


The decision-makers have been experiencing difficulties in determining the most suitable robot alternative due to the increase in number of robots and the diversity in their application areas. A robust decision framework for robot selection should consider multiple and conflicting criteria and the dependencies among them. This paper introduces a decision model for robot selection based on quality function deployment (QFD) and fuzzy linear regression. The proposed approach benefits from the fact that QFD focuses on delivering value by taking into account the customer requirements and then by deploying this information throughout the development process, and applies this perspective to robot selection. Fuzzy linear regression is considered as an alternative decision aid for robot selection problems where imprecise relationships among system parameters exist. An example robot selection problem is presented to illustrate the proposed decision-making approach.