Robot evaluation and selection Part B: A comparative analysis

International Journal of Advanced Manufacturing Technology

Volumn 71, Issue 5-8, 2014, Pages 1395-1417

  Ketipi, M K ^a   Koulouriotis, D E ^a   Karakasis, E G ^a  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

Author keywords

Assessment problems; Computer assisted models; Multi criteria decision making; Ranking performance; Spearman's rank correlation coefficient

Indexed keywords

ASSESSMENT PROBLEMS; COMPUTER-ASSISTED MODEL; MULTI-CRITERIA DECISION MAKING; RANKING PERFORMANCE; SPEARMAN'S RANK CORRELATION COEFFICIENTS;

TOOLS;

DECISION MAKING;

EID: 84896715203     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-013-5526-4     Document Type: Article

References (33)

1. Agrawal VP, Kohli V, Gupta S (1991) Computer aided robot selection: the multiple attribute decision making approach. Int J Prod Res 29(8):1629-1644
2. Athawale VM, Chakraborty S (2011) A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection. Int J Ind Eng Comput 2(4):819-830
3. Bhattacharya A, Sarkar B, Mukherjee SK (2005) Integrating AHP with QFD for robot selection under requirement perspective. Int J Prod Res 43(17):3671-3685
4. Boubekri N, Sahoui M, Lakrib C (1991) Development of an expert system for industrial robot selection. Comput Ind Eng 20(1):119-127
5. Braglia M, Petroni A (1999) Evaluating and selecting investments in industrial robots. Int J Prod Res 37(18):4157-4178
6. Brifcani N, Day R, Walker D, Hughes S, Ball K, Price D (2012) A review of cutting-edge techniques for material selection. In: 2nd international conference on advanced composite materials and technologies for aerospace applications, pp 58-64
7. Chatterjee P, Athawale VM, Chakraborty S (2010) Selection of industrial robots using compromise ranking and outranking methods. Robot Comput Integr Manuf 26(5):483-489
8. Chu TC, Lin YC (2003) A fuzzy TOPSIS method for robot selection. Int J Adv Manuf Technol 21(4):284-290
9. Deshmukh AJ, Chaudhari AA (2011) A review for supplier selection criteria and methods. In: Shah K, Gorty VRL, Phirke A (eds) Technology systems and management, communications in computer and information science, vol 145. Springer, Berlin, pp 283-291
10. Evans L, Lohse N, Summers M (2013) A fuzzy-decision-tree approach for manufacturing technology selection exploiting experience-based information. Expert Syst Appl 40(16):6412-6426
11. Fisher EL, Maimon OZ (1988) Specification and selection of robots. In: Kusiak A (ed) Artificial intelligence: implications for CIM. IFS, Bedford, pp 162-188
12. Goh CH, Tung YC, Cheng CH (1996) A revised weighted sum decision model for robot selection. Comput Ind Eng 30(2):193-199
13. Huang PY, Ghandforoush P (1984) Robotics procedures given for evaluating selecting robots. Ind Eng 16(4):44-48
14. Kahraman C, Cevik S, Ates NY, Gulbay M (2007) Fuzzy multi-criteria evaluation of industrial robotic systems. Comput Ind Eng 52(4):414-433
15. Kapoor V, Tak SS (2005) Fuzzy application to the analytic hierarchy process for robot selection. Fuzzy Optim Decis Making 4(3):209-234
16. Kentli A, Kar AK (2011) A satisfaction function and distance measure based multi-criteria robot selection procedure. Int J Prod Res 49:5821-5832
17. Khouja M, Booth DE (1995) Fuzzy clustering procedure for evaluation and selection of industrial robots. J Manuf Syst 14(4):244-251
18. Khouja M, Offodile OF (1994) The industrial robots selection problem: literature review and directions for future research. IIE Trans 26(4):50-61
19. Knott K, Getto RD (1982) A model for evaluating alternative robot systems under uncertainty. Int J Prod Res 20(2):155-165
20. Koulouriotis D, Ketipi M (2013) Robot evaluation and selection. Part A: an integrated review and annotated taxonomy. Int J Adv Manuf Technol
21. Koulouriotis D, Ketipi M (2011) A fuzzy digraph method for robot evaluation and selection. Expert Syst Appl 38(9):11901-11910
22. Koulouriotis DE, Emiris DM (2006) An intelligent decision support system for industrial robot selection. In: Trends and perspectives in modern computational science, no. 7. Lecture series on computer and computational sciences. Brill, Leiden, pp 649-655
23. Koulouriotis DE, Ketipi MK (2010) Robot selection methods in industrial applications: review, classification and comparative analysis multiple criteria decision aiding, advances in operations research. Nova, New York
24. Liang GS, Wang MJJ (1993) A fuzzy multi-criteria decision making approach for robot selection. Robot Comput Integr Manuf 10(4):267-274
25. Nof SY (1999) Handbook of industrial robotics. Wiley, Canada
26. Offodile OF, Lambert BK, Dudek RA (1987) Development of a computer aided robot selection procedure (CARSP). Int J Prod Res 25(8):1109-1121
27. Parkan C, Wu ML (1999) Decision-making and performance measurement models with applications to robot selection. Comput Ind Eng 36(3):503-523
28. Rao RV, Padmanabhan KK (2005) Selection, identification and comparison of industrial robots using digraph and matrix methods. Robot Comput Integr Manuf 22(4):373-383
29. Rao RV, Patel BK, Parnichkun M (2011) Industrial robot selection using a novel decision making method considering objective and subjective preferences. Robot Autonom Syst 59:367-375
30. Seidmann A, Nof SY (1989) Operational analysis of an autonomous assembly robotic station. IEEE Trans Robot Autom 5(1):4-15
31. Sener Z, Karsak E (2008) A decision making approach based on fuzzy regression and fuzzy multiple objective programming for advanced manufacturing technology selection. In: IEEE international conference on industrial engineering and engineering management, pp 964-968
32. Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338-353
33. Zhao L, Tsujimura Y, Gen M (1996) Genetic algorithm for robot selection and work station assignment problem. Comput Ind Eng 31(3-4):599-602