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ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
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Volume 4 Issue 3 pp. 355-372, 2013

Authors: Suprakash Mondal, Shankar Chakraborty

📋 Author Affiliations:
Suprakash Mondal ORCID 1, Shankar Chakraborty ORCID 2
1 Department of Production Engineering, Mallabhum Institute of Technology, Bishnupur, Bankura - 722 122, West Bengal, India
2 Department of Production Engineering, Jadavpur University, Kolkata - 700 032, West Bengal, India
31 Source: Scopus
Crossref 14 Source: CrossRef

🔑 Keywords: Additive model, BCC model, CCR model, Cone ratio model, Data envelopment analysis, Robot selection

Abstract: Selection of industrial robots for the present day’s manufacturing organizations is one of the most difficult assignments due to the presence of a wide range of feasible alternatives. Robot manufacturers are providing advanced features in their products to sustain in the globally competitive environment. For this reason, selection the most suitable robot for a given industrial application now becomes a more complicated task. In this paper, four models of data envelopment analysis (DEA), i.e. Charnes, Cooper and Rhodes (CCR), Banker, Charnes and Cooper (BCC), additive, and cone-ratio models are applied to identify the feasible robots having the optimal performance measures, simultaneously satisfying the organizational objectives with respect to cost and process optimization. Furthermore, the weighted overall efficiency ranking method of multi-attribute decision-making theory is also employed for arriving at the best robot selection decision from the short-listed competent alternatives. In order to demonstrate the relevancy and distinctiveness of the adopted DEA-based approach, two real time industrial robot selection problems are solved.

How to cite this paper
APA: Mondal, S & Chakraborty, S. (2013). A solution to robot selection problems using data envelopment analysis. International Journal of Industrial Engineering Computations, 4(3), 355-372.
Chicago/Turabian: Mondal, S & Chakraborty, S. 2013. "A solution to robot selection problems using data envelopment analysis." International Journal of Industrial Engineering Computations 4, no. 3 (2013): 355-372.
AMA: Mondal, S & Chakraborty, S. A solution to robot selection problems using data envelopment analysis. International Journal of Industrial Engineering Computations. 2013;4(3):355-372.

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📚 Journal: International Journal of Industrial Engineering Computations | 📅 Year: 2013 | 📖 Volume: 4 | 📄 Issue: 3 | 👁️ Views: 8124 | 📊 Crossref: 14

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