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Behnam Malakooti

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Behnam Malakooti [1],[2] is Professor of Systems Engineering of Department of Electrical Engineering and Computer Science at the Case Western Reserve University (CWRU), OH, USA. He has been affiliated with CWRU since 1982. He is a pioneer researcher in risk, Operations Management, Manufacturing Systems,[1] multiple criteria optimization. He developed artificial neural networks for predicting decision-making behavior for out-of-sample data.[2] He also pioneered the theory of multiple-objective optimization for solving decision making,[3] operations and manufacturing systems, machinability of materials,[4] Artificial Neural Networks,[2] facility layout,[5][6] and group technology and clustering.[7]

Education

Ph.D. in Industrial Engineering (1982), Purdue University
MS in Industrial Engineering (1979), Purdue University
MS in Economics (1978), Purdue University

Honor and awards

Malakooti has received several awards including

  • Fellow, Institute of Industrial & Systems Engineers (IISE)[3]; one of twelve recipients, 1997.
  • Fellow, Society of Manufacturing Engineers (SME)[4], one of ten international recipients, 1996
  • Fellow, Institute of Electrical and Electronics Engineers (IEEE), since 1998 [5].
  • Divisional Professional Leadership Award, one of three national recipients, IEEE, 2000-2001 [6].
  • Exceptional Research Achievement, Department of Electrical Engineering & Computer Science, Case Western Reserve University, 2004 [7].

Selected publications

  • Malakooti, B, "Operations and production systems with multiple objectives" [8] John Wiley & Sons, 2013
  • Malakooti, B. "Decision Making Process: Typology, Intelligence, and Optimization" Journal of Intelligent Manufacturing [9], DOI: 10.1007/s10845-010-0424-1, Volume 23, Issue 3 (2012), Page 733-746.
  • Brian J. Barritt, Shaya Sheikh, Camelia Al-Najjar- Behnam Malakooti, “Mobile Ad-Hoc Network Broadcasting: A Multi-Criteria Approach”[10], International Journal of Communication Systems, DOI: 10.1002/dac.1162,2010, Volume 24, Issue 4 (2011), Page 438-460.
  • Malakooti, B., Y. Zhou, "An Adaptive Feedforward Artificial Neural Network with Application to Multiple Criteria Decision Making,"[11] Management Science, Vol. 40,11, Nov. 1994, pp. 1542–1561.
  • Malakooti, B. "Ranking and Screening Multiple Criteria Alternatives with Partial Information and use of Ordinal and Cardinal Strength of Preferences"[12], IEEE Transactions on Systems, Man, and Cybernetics Part A, Vol. 30, 3, 355-369, 2000.
  • Malakooti, B., "Multi-Objective Facility Layout: A Heuristic Method to Generate All Efficient Alternatives,"[13] International Journal of Production Research, Vol. 27, No. 7, 1989, pp. 1225–1238.
  • Malakooti, B., J. Deviprasad, "An Interactive Multiple Criteria Approach for Parameter Selection in Metal Cutting," [14] Operations Research, Vol. 37, No. 5, Sept.-Oct. 1989, pp. 805–8l8.
  • Malakooti, B., A. Tsurushima, "An Expert System Using Priorities for Solving Multiple Criteria Facility Layout Problems,"[15] International Journal of Production Research Vol. 27, No. 5, 1989, pp. 793–808.
  • Malakooti, Behnam, and Ying Q. Zhou. "Feedforward artificial neural networks for solving discrete multiple criteria decision making problems." Management Science 40.11 (1994): 1542-1561.
  • Malakooti, B., and G. I. D'souza. "Multiple objective programming for the quadratic assignment problem." International Journal of Production Research 25.2 (1987): 285-300.
  • Malakooti, Behnam. "A multiple criteria decision making approach for the assembly line balancing problem." International Journal of Production Research 29.10 (1991): 1979-2001.
  • Malakooti, B. B. "Assembly line balancing with buffers by multiple criteria optimization." International Journal of Production Research 32.9 (1994): 2159-2178.
  • Malakooti, B. (1989). Multiple objective facility layout: a heuristic to generate efficient alternatives. International Journal of Production Research, 27(7), 1225-1238.
  • Malakooti, Behnam. "A decision support system and a heuristic interactive approach for solving discrete multiple criteria problems." IEEE Transactions on Systems, Man, and Cybernetics 18.2 (1988): 273-284.
  • Malakooti, B., and Akira Tsurushima. "An expert system using priorities for solving multiple-criteria facility layout problems." International Journal of Production Research 27.5 (1989): 793-808.

References

  1. ^ Malakooti, Behnam (2013). Operations and production systems with multiple objectives. John Wiley & Sons.
  2. ^ a b Malakooti, Behnam; Zhou, Ying Q. (1994). "Feedforward artificial neural networks for solving discrete multiple criteria decision making problems". Management Science. 40 (11): 1542–1561. doi:10.1287/mnsc.40.11.1542.
  3. ^ Malakooti, Behnam (2000). "Ranking and Screening Multiple Criteria Alternatives with Partial Information and use of Ordinal and Cardinal Strength of Preferences". IEEE Transactions on Systems, Man, and Cybernetics Part A. 30 (3): 355–369. doi:10.1109/3468.844359.
  4. ^ Malakooti, Behnam; Deviprasad, j. (1989). "An Interactive Multiple Criteria Approach for Parameter Selection in Metal Cutting". Operations Research. 37 (5): 805–818. doi:10.1287/opre.37.5.805.
  5. ^ Malakooti, Behnam; Tsurushima, A (1989). "An Expert System Using Priorities for Solving Multiple Criteria Facility Layout Problems". International Journal of Production Research. 27 (5): 793–808. doi:10.1080/00207548908942588.
  6. ^ Malakooti, Behnam (1989). "Multi-Objective Facility Layout: A Heuristic Method to Generate All Efficient Alternative". International Journal of Production Research. 27 (7): 1225–1238. doi:10.1080/00207548908942619.
  7. ^ Malakooti, Behnam; Yang, Z (2002). "Multiple criteria approach and generation of efficient alternatives for machine-part family formation in group technology". IIE Transactions. 34 (9): 837–846. doi:10.1080/07408170208928916. S2CID 120582667.
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