A hybrid multi criteria decision analysis for engineering project manager evaluation

Quyen, Nguyen Le Hoang Thuy To; Nguyen, Phong Thanh; Huynh, Vy Dang Bich

International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 4 (April 2017), Pages: 49-52

Title: A hybrid multi criteria decision analysis for engineering project manager evaluation

Author(s): Nguyen Le Hoang Thuy To Quyen ¹, Phong Thanh Nguyen ^{1, 2,}*, Vy Dang Bich Huynh¹

Affiliation(s):

¹Ho Chi Minh City Open University (HCMCOU), Ho Chi Minh City, Vietnam
²CEM Division, Chulalongkorn University (CU), Bangkok, Thailand

https://doi.org/10.21833/ijaas.2017.04.008

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Abstract:

Engineering project manager plays dynamic roles in managing projects. Therefore, selecting a qualified candidate to project manager position should be considered carefully. Moreover, it plays a significant role in the success of any engineering firms. Traditional project managers evaluating decision-making methods are usually based on subjective opinions of experts, resulting in irrational and inappropriate decisions. This paper introduces a multi-criteria decision analysis solution for engineering project manager assessment by integrating Analytic Hierarchy Process (AHP) methodology and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique. This approach is found to be useful when dealing with plenty of evaluation criteria and project manager candidates.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Decision analysis, Analytic hierarchy process, TOPSIS, Project manager

Article History: Received 31 December 2016, Received in revised form 6 March 2017, Accepted 7 March 2017

Digital Object Identifier:

https://doi.org/10.21833/ijaas.2017.04.008

Citation:

Quyen NLHTTQ, Nguyen PT, and Huynh VDB (2017). A hybrid multi criteria decision analysis for engineering project manager evaluation. International Journal of Advanced and Applied Sciences, 4(4): 49-52

http://www.science-gate.com/IJAAS/V4I4/Quyen.html

References:

Babaee Asil HR and Fanati Rashidi S (2015). Weight control with using goal programming in data envelopment analysis. International Journal of Advanced and Applied Sciences, 2(3):1-5.

Bagherinia K and Olapour M (2016). Performance evaluation of project management implementation based on PMBOK-2008 standard (case study: Ahvaz Metro project). International Journal of Advanced and Applied Sciences, 3(9): 10-15 https://doi.org/10.21833/ijaas.2016.09.003

Behzadian M, Otaghsara K, Yazdani M, and Ignatius J (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17): 13051-13069. https://doi.org/10.1016/j.eswa.2012.05.056

El-Sabaa S (2001). The skills and career path of an effective project manager. International Journal of Project Management, 19(1): 1-7. https://doi.org/10.1016/S0263-7863(99)00034-4

Gatewood R, Field H, and Barrick M (2015). Human resource selection. Nelson Education, Scarborough, Canada. PMCid:PMC4574212

Goodwin R (1993). Skills required of effective project managers. Journal of Management in Engineering, 9(3): 217-226. https://doi.org/10.1061/(ASCE)9742-597X(1993)9:3(217)

Ju Y and Wang A (2012). Emergency alternative evaluation under group decision makers: A method of incorporating DS/AHP with extended TOPSIS. Expert Systems with Applications, 39(1): 1315-1323. https://doi.org/10.1016/j.eswa.2011.08.012

Meredith JR and Mantel SJ (2011). Project management: A managerial approach. John Wiley and Sons, NJ, USA.

Mohammadi F, Sadi K, Nateghi F, Abdullah A, and Skitmore M (2014). A hybrid quality function deployment and cybernetic analytic network process model for project manager selection. Journal of Civil Engineering and Management, 20(6): 795-809. https://doi.org/10.3846/13923730.2014.945952

Nguyen PT, Nguyen TA, Ha NTH, and Nguyen TN (2017a). Facilities management in high rise buildings using building information modeling. International Journal of Advanced and Applied Sciences, 4(2): 1-9. https://doi.org/10.21833/ijaas.2017.02.001

Nguyen PV, Nguyen PT, Nguyen QTTHL, and Huynh VBD (2016). Calculating Weights of Social Capital Index Using Analytic Hierarchy Process. International Journal of Economics and Financial Issues, 6(3): 1189-1193.

Nguyen TP, Phuc NV, and Quyen NLHTT (2017b). Application of fuzzy analytic network process and TOPSIS method for material supplier selection. In the Key Engineering Materials, Trans Tech Publications, Zurich, Switzerland, 728: 411-415.

Odusami KT (2002). Perceptions of construction professionals concerning important skills of effective project leaders. Journal of Management in Engineering, 18(2): 61-67. https://doi.org/10.1061/(ASCE)0742-597X(2002)18:2(61)

Önüt S, Efendigil T, and Soner S (2010). A combined fuzzy mcdm approach for selecting shopping center site: An example from Istanbul, Turkey. Expert Systems with Applications, 37(3): 1973-1980. https://doi.org/10.1016/j.eswa.2009.06.080

Pheng LS and Chuan QT (2006). Environmental factors and work performance of project managers in the construction industry. International Journal of Project Management, 24(1): 24-37. https://doi.org/10.1016/j.ijproman.2005.06.001

Pinto JK (2015). Project Management: Achieving competitive advantage. 4th Edition, Pearson/Prentice Hall, NJ, USA.

Rashidi A, Jazebi F, and Brilakis I (2010). Neurofuzzy genetic system for selection of construction project managers. Journal of Construction Engineering and Management, 137(1): 17-29. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000200

Saaty TL (2005). Making and validating complex decisions with the AHP/ANP. Journal of Systems Science and Systems Engineering, 14(1): 1-36. https://doi.org/10.1007/s11518-006-0179-6

Sadeghi H, Mousakhani M, Yazdani M, and Delavari M (2014). Evaluating project managers by an interval decision-making method based on a new project manager competency model. Arabian Journal for Science and Engineering, 39(2): 1417-1430. https://doi.org/10.1007/s13369-013-0631-0

Tran TT (2016). Evaluating and forecasting performance using past data of an industry: An analysis of electronic manufacturing services industry. International Journal of Advanced and Applied Sciences, 3(12): 5-20. https://doi.org/10.21833/ijaas.2016.12.002

Ullah K, Abdullah A, and Nagapan S (2016). A framework for avoiding cost overruns in Malaysian construction projects. International Journal of Advanced and Applied Sciences, 3(3): 28-31.

Vavan Z and Braike S (2015). Data envelopment analysis for weight control strategies. International Journal of Advanced and Applied Sciences, 2(1): 22-24.