A Comprehensive and Practical Framework for Reliable Scheduling in Project Management

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Schedule reliability is essential to successfully achieve EPC (engineering, procurement and constriction) project objectives. Several studies in the past were based on traditional risk management technique which has its own limitations that lack one to obtain a reliable project schedule. To overcome these limitations a comprehensive framework is developed based on the integration of risk management and Critical Chain Project Management (CCPM) that can give a much reliable project scheduling. In the proposed framework, risk analysis is first determined through fuzzy FMEA technique to provide identification of critical risk events (CRE). The effect of CRE on project schedule is then defined and total project time which considers risk factors is calculated. To support risk mitigation, fault tree and event tree analysis are combined which allows the root causes of the risk event be defined and also mitigation strategies determined to control each identified CRE. Eventually, CCPM is distributed which enable implementation of the project based on initial plan and to obtain reasonable Feeding Buffer time on risky tasks. This paper presents the proposed framework using a real case study on construction phases of EPC projects in an electrical power industry.

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378-383

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] T.D. Klastorin, Project Management, Tools and Trade-offs, John Wiley and Sons, New York, (2004).

Google Scholar

[2] P. E. Josephson, and L. Saukkoriipi, Slöseri ibyggprojekt: Behov av förändrat synsätt, Fou-Väst, Report 0507, Gothenburg, Sweden, (2005).

Google Scholar

[3] J. K. Lee, Cost Overrun and Cause in Korean Social Overhead Capital Projects, Roads, Rails, Airports and Ports, Journal of Urban Planning and Development. 134(2008) 59-62.

DOI: 10.1061/(asce)0733-9488(2008)134:2(59)

Google Scholar

[4] D. Aloini, R. Dulmin, Risk Management in ERP Project Introduction: Review of the Literature, Journal of Information and Management . 44(2007) 547-567.

DOI: 10.1016/j.im.2007.05.004

Google Scholar

[5] G. Themistocleous and S. H. Wearne, Project Management Topic Coverage in journals, International Journal of Project Management. 18(2000) 7-11.

DOI: 10.1016/s0263-7863(99)00030-7

Google Scholar

[6] J.H. M Tah and V. Carr, Knowledge-Based Approach to Construction Project Risk Management, Journal of Computing and Civil Engineering. 15 (2001) 170-177.

DOI: 10.1061/(asce)0887-3801(2001)15:3(170)

Google Scholar

[7] T. Lyons, , and M. Skitmore, Project Risk Management in the Queensland Engineering Construction Industry: A Survey. International Journal of Project Management. 22(2004) 51-61.

DOI: 10.1016/s0263-7863(03)00005-x

Google Scholar

[8] A. Datta, S. Mukherjee and V. Kumar, Buffer Management in Real-Time: Architectures and Techniques, K-Y Lam and T-W Kuo ( Eds), Kluwer Academic Publishers, 2001, pp.77-95.

Google Scholar

[9] M. Meyer, Managing Project Uncertainty: From Variation to Chaos, INSEAD, Singapore, (2000).

Google Scholar

[10] T. Kaplan and P. Garrick , On the Quantitative Definition of Risk, Journal of Society for Risk Analysis. 1(1991) 11-37.

Google Scholar

[11] J. Puente, R. Pino, P. Priore and D. Fuente, A Decision Support System for Applying Failure Mode and Effects Analysis, International Journal of Quality and Reliability Management. 19 (2002) 137-150.

DOI: 10.1108/02656710210413480

Google Scholar

[12] A. Pillay, and J. Wang, Modified Failure Mode and Effects Analysis using Approximate Reasoning, Journal of Reliability Engineering and System Safety. 79 (2003) 69–85.

DOI: 10.1016/s0951-8320(02)00179-5

Google Scholar

[13] I. Motawa, , C. Anumba and A. El-Hamalawi, A Fuzzy System for Evaluating the Risk of Change in Construction Industry, Journal of Advances in Engineering Software. 37(2006) 583-591.

DOI: 10.1016/j.advengsoft.2006.01.006

Google Scholar

[14] M. Abdelgawad and A. R. Fayek, A Comprehensive Hybrid Framework for Risk Analysis in the Construction Industry using Combined FMEA, Fault Trees, Event Trees, and Fuzzy Logic, Journal of Construction Engineering Management. 138(5) 642-651.

DOI: 10.1061/(asce)co.1943-7862.0000471

Google Scholar

[15] M. Park and F. Pena-Mora, Reliability Buffering for Construction Projects, Journal of Construction Engineering and Management. 130(2004) 626-638.

DOI: 10.1061/(asce)0733-9364(2004)130:5(626)

Google Scholar

[16] I. Oya Tukel, An Investigation of Buffer Sizing Techniques in Critical Chain Scheduling, European Journal of Operational Research. 172(2006) 401–416.

DOI: 10.1016/j.ejor.2004.10.019

Google Scholar

[17] H. Kerzner, Project Management, A System Approach to Planning, Scheduling and Controlling, Eight ed., John Wiley and Sons, New Jersey, (2003).

Google Scholar

[18] W.S. Herroelen and R. Leus, On the Merits and Pitfalls of Critical Chain Scheduling, Journal of Operations Management. 19(2001) 559–577.

DOI: 10.1016/s0272-6963(01)00054-7

Google Scholar