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Implementations of robotics: Identifying efficient implementors

Author

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  • Cook, WD
  • Johnston, DA
  • McCutcheon, D

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.

Suggested Citation

  • Cook, WD & Johnston, DA & McCutcheon, D, 1992. "Implementations of robotics: Identifying efficient implementors," Omega, Elsevier, vol. 20(2), pages 227-239, March.
    • Handle: RePEc:eee:jomega:v:20:y:1992:i:2:p:227-239
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    Cited by:

    1. Fabíola Kaczam & Julio Cezar Mairesse Siluk & Gil Eduardo Guimaraes & Gilnei Luiz Moura & Wesley Vieira Silva & Claudimar Pereira Veiga, 2022. "Establishment of a typology for startups 4.0," Review of Managerial Science, Springer, vol. 16(3), pages 649-680, April.
    2. STEPHEN J. DeCANIO, 1997. "Economic Modeling And The False Tradeoff Between Environmental Protection And Economic Growth," Contemporary Economic Policy, Western Economic Association International, vol. 15(4), pages 10-27, October.
    3. Podinovski, V. V., 2004. "Suitability and redundancy of non-homogeneous weight restrictions for measuring the relative efficiency in DEA," European Journal of Operational Research, Elsevier, vol. 154(2), pages 380-395, April.
    4. Toloo, Mehdi & Ebrahimi, Bohlool & Amin, Gholam R., 2021. "New data envelopment analysis models for classifying flexible measures: The role of non-Archimedean epsilon," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1037-1050.

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