Journal
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 46, Issue 3, Pages 723-738Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207540600919571
Keywords
robot selection; fuzzy linear regression; quality function deployment; house of quality; multi-criteria decision-making; technology management
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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.
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