Abstract
This paper examines the implementation of robotics in 31 companies. The problem is to determine which companies are the most efficient implementors. Implementation efficiency is modelled as a multiple criteria problem, using Data Envelopment Analysis (DEA). This tool was designed for evaluating the relative efficiency of a set of decision making units in the presence of multiple inputs and multiple outputs. In the present setting, three outputs: startup time, uptime when required, and management satisfaction are examined relative to three inputs or circumstances: system complexity, system novelty, and the implementation team's previous experience with the technologies involved. In addition, three variables, namely supplier management practices, plant size, and perceived urgency, are evaluated vis-à-vis their impact on implementation efficiency.
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