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Original Articles

THE INDUSTRIAL ROBOTS SELECTION PROBLEM: LITERATURE REVIEW AND DIRECTIONS FOR FUTURE RESEARCH

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Pages 50-61 | Published online: 31 May 2007

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Yi-Xi Xue, Jian-Xin You, Xufeng Zhao & Hu-Chen Liu. (2016) An integrated linguistic MCDM approach for robot evaluation and selection with incomplete weight information. International Journal of Production Research 54:18, pages 5452-5467.
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A. Kentli & A.K. Kar. (2011) A satisfaction function and distance measure based multi-criteria robot selection procedure. International Journal of Production Research 49:19, pages 5821-5832.
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E. Ertugrul Karsak. (2008) Robot selection using an integrated approach based on quality function deployment and fuzzy regression. International Journal of Production Research 46:3, pages 723-738.
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E. E. Karsak & S. S. Ahiska. (2005) Practical common weight multi-criteria decision-making approach with an improved discriminating power for technology selection. International Journal of Production Research 43:8, pages 1537-1554.
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Hassan Soltan, Khaled Janada & Mohamed Omar. (2023) FAQT-2: A customer-oriented method for MCDM with statistical verification applied to industrial robot selection. Expert Systems with Applications 226, pages 120106.
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Vidyapati Kumar, Kanak Kalita, Prasenjit Chatterjee, Edmundas Kazimieras Zavadskas & Shankar Chakraborty. (2021) A SWARA-CoCoSo-Based Approach for Spray Painting Robot Selection. Informatica, pages 35-54.
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Tabasam Rashid, Asif Ali & Yu-Ming Chu. (2021) Hybrid BW-EDAS MCDM methodology for optimal industrial robot selection. PLOS ONE 16:2, pages e0246738.
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Asif Ali & Tabasam Rashid. (2020) Best–worst method for robot selection. Soft Computing 25:1, pages 563-583.
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Cinzia Amici, Nicola Pellegrini & Monica Tiboni. (2020) The Robot Selection Problem for Mini-Parallel Kinematic Machines: A Task-Driven Approach to the Selection Attributes Identification. Micromachines 11:8, pages 711.
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Kunal Banerjee, Bipradas Bairagi & Bijan Sarkar. 2020. Recent Advances in Intelligent Information Systems and Applied Mathematics. Recent Advances in Intelligent Information Systems and Applied Mathematics 538 548 .
Theodore SimosD.E. Koulouriotis & D.M. Emiris. 2019. Recent Progress in Computational Sciences and Engineering. Recent Progress in Computational Sciences and Engineering 649 655 .
M. Dev Anand, K. A. Janardhanan & D. Kinslin. (2014) Selection of industrial robotic systems using fuzzy techniques. Selection of industrial robotic systems using fuzzy techniques.
Mehmet Cagatay Bahadir & Sule Itir Satoglu. (2014) A novel robot arm selection methodology based on axiomatic design principles. The International Journal of Advanced Manufacturing Technology 71:9-12, pages 2043-2057.
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M. K. Ketipi, D. E. Koulouriotis & E. G. Karakasis. (2014) Robot evaluation and selection Part B: a comparative analysis. The International Journal of Advanced Manufacturing Technology 71:5-8, pages 1395-1417.
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D. E. Koulouriotis & M. K. Ketipi. (2014) Robot evaluation and selection Part A: an integrated review and annotated taxonomy. The International Journal of Advanced Manufacturing Technology 71:5-8, pages 1371-1394.
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Liam Evans, Niels Lohse & Mark Summers. (2013) A fuzzy-decision-tree approach for manufacturing technology selection exploiting experience-based information. Expert Systems with Applications 40:16, pages 6412-6426.
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D.E. Koulouriotis & M.K. Ketipi. (2011) A fuzzy digraph method for robot evaluation and selection. Expert Systems with Applications 38:9, pages 11901-11910.
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R.V. Rao, B.K. Patel & M. Parnichkun. (2011) Industrial robot selection using a novel decision making method considering objective and subjective preferences. Robotics and Autonomous Systems 59:6, pages 367-375.
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Rishi Kumar & R.K. Garg. (2010) Optimal selection of robots by using distance based approach method. Robotics and Computer-Integrated Manufacturing 26:5, pages 500-506.
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E. Ertugrul Karsak. 2007. Wiley Encyclopedia of Computer Science and Engineering. Wiley Encyclopedia of Computer Science and Engineering 1 11 .
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R. Venkata Rao & K.K. Padmanabhan. (2006) Selection, identification and comparison of industrial robots using digraph and matrix methods. Robotics and Computer-Integrated Manufacturing 22:4, pages 373-383.
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Vikas Kapoor & Shyam Singh Tak. (2005) Fuzzy Application to the Analytic Hierarchy Process for Robot Selection. Fuzzy Optimization and Decision Making 4:3, pages 209-234.
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E. Ertugrul Karsak. 2005. Knowledge-Based Intelligent Information and Engineering Systems. Knowledge-Based Intelligent Information and Engineering Systems 635 641 .
Cengiz Kahraman, Ethem Tolga & Ziya Ulukan. (2000) Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis. International Journal of Production Economics 66:1, pages 45-52.
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Moutaz Khouja, O.Felix Offodile, David E. Booth & Michael Suh. 2000. Encyclopedia of Production and Manufacturing Management. Encyclopedia of Production and Manufacturing Management 646 653 .
E.E. Karsak. (1999) DEA-based robot selection procedure incorporating fuzzy criteria values. DEA-based robot selection procedure incorporating fuzzy criteria values.
Jian Ma, Zhi-Ping Fan & Li-Hua Huang. (1999) A subjective and objective integrated approach to determine attribute weights. European Journal of Operational Research 112:2, pages 397-404.
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Chon-Huat Goh. (1997) Analytic hierarchy process for robot selection. Journal of Manufacturing Systems 16:5, pages 381-386.
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Linhu Zhao, Yashuhiro Tsujimura & Mitsuo Gen. (1996) Genetic algorithm for robot selection and work station assignment problem. Computers & Industrial Engineering 31:3-4, pages 599-602.
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Abraham Mehrez, Michael Hu & O.Felix Offodile. (1996) Multivariate economic analysis of robot performance repeatability and accuracy. Journal of Manufacturing Systems 15:4, pages 215-225.
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Moutaz Khouja, Gad Rabinowitz & Abraham Mehrez. (1995) Optimal robot operation and selection using quality and output trade-off. The International Journal of Advanced Manufacturing Technology 10:5, pages 342-355.
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Moutaz Khouja. (1995) The use of data envelopment analysis for technology selection. Computers & Industrial Engineering 28:1, pages 123-132.
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Moutaz Khouja & David E. Booth. (1995) Fuzzy clustering procedure for evaluation and selection of industrial robots. Journal of Manufacturing Systems 14:4, pages 244-251.
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