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A SAW Mechanism for Investigating the Status of Industrial Robots Under Comprehensive Sustainable Aspects

Author

Listed:
  • Atul Kumar Sahu

    (Department of Mechanical Engineering, National Institute of Technology, Raipur, India)

  • Harendra Kumar Narang

    (Department of Mechanical Engineering, National Institute of Technology, Raipur, India)

  • Mridul Singh Rajput

    (Department of Mechanical Engineering, National Institute of Technology, Raipur, India)

  • Nitin Kumar Sahu

    (Department of Industrial and Production Engineering, Guru Ghasidas Vishwavidyalaya, Bilaspur, India)

Abstract

The authors attempt to model a decision-making mechanism; which can fix multiple robot characteristics and can aid in investigating robots status for a particular manufacturing arena. The work exposed a series of applicable robot characteristics; which differentiated their working capacity and defines their value. A simple additive weighting (SAW) mechanism under a fuzzy concept is presented for investigating the status of industrial robots; which incorporates comprehensive aspects for sustainable robot selection. The authors have extended the application field of fuzzy sets theory and illustrated the significant application of linguistic terms in the robot decision-making problem. The work compounds fuzzy sets theory with SAW techniques and thus serves a flavor of fuzzy concept and a SAW technique under single platform. The study reveals the course of action for executing the proposed work by the managers. The work has applied fuzzy linguistic terms for griping the appropriate perceptions of the decision makers and applied the conception of SAW methodology to yield the decision results.

Suggested Citation

  • Atul Kumar Sahu & Harendra Kumar Narang & Mridul Singh Rajput & Nitin Kumar Sahu, 2019. "A SAW Mechanism for Investigating the Status of Industrial Robots Under Comprehensive Sustainable Aspects," International Journal of Social Ecology and Sustainable Development (IJSESD), IGI Global, vol. 10(3), pages 69-84, July.
    • Handle: RePEc:igg:jsesd0:v:10:y:2019:i:3:p:69-84
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