Flexibility as Risk Management Option Implemented in the Bridge Repair
DOI:
https://doi.org/10.3846/bjrbe.2011.33Keywords:
flexibility, risk management, construction, proactive, monitoring, repairAbstract
Risk management in the sphere of Construction Management concentrates, on principle, at the level of projects or organizations which coordinate them. The construction business, however, when compared to many other branches of industry, is characterized by considerable operational risk. Therefore it seems that a direct impact on risk through implementation of flexibility with the proactiveness priority taken into account at the operational (source) level is a unique chance for successful risk management in the construction process engineering. The flexibility is understood in this case as the ability of an organization executing construction processes to adjust to dynamically changing environment through preparation of alternative variants (options), easy to switch over to. The specific character of implementation of flexibility has been illustrated with an example of repairing a road construction structure, with dissimilarity of that application to typical situations being emphasized.
References
Ballard, G.; Howell, G. 1998. Shielding Production: Essential Step in Production Control, Journal of Construction Engineering and Management 124(1): 11–17. doi:10.1061/(ASCE)0733-9364(1998)124:1(11)
Batarlienė, N. 2008. Risk Analysis and Assessment for Transportation of Dangerous Freight, Transport 23(2): 98–103. doi:10.3846/1648-4142.2008.23.98–103
Bucki, J.; Pesqueux, Y. 2000. Flexible Workshop: about the Concept of Flexibility, International Journal of Agile Management Systems 2(1): 62–70. doi:10.1108/14654650010312615
El-Adaway, I. H.; Kandil, A. A. 2010. Construction Risks: Single Versus Portfolio Insurance, Journal of Management in Engineering 26(1): 2–8. doi:10.1061/(ASCE)0742-597X(2010)26:1(2)
Gajzler, M. 2010. Text and Data Mining Techniques in Aspect of Knowledge Acquisition for Decision Support System in Construction Industry, Technological and Economic Development of Economy 16(2): 219–232. doi:10.3846/tede.2010.14
Horman, M. J.; Thomas, H. R. 2005. Role of Inventory Buffers in Construction Labor Performance, Journal of Construction Engineering and Management 131(7): 834–843. doi:10.1061/(ASCE)0733-9364(2005)131:7(834)
Imbeah, W.; Guikema, S. 2009. Managing Construction Projects using the Advanced Programmatic Risk Analysis and Management Model, Journal of Construction Engineering and Management 135(8): 772–781. doi:10.1061/(ASCE)0733-9364(2009)135:8(772)
Kapliński, O. 2008. Development and Usefulness of Planning Techniques and Decision-Making Foundations on the Example of Construction Enterprises in Poland, Technological and Economic Development of Economy 14(4): 492–502. doi:10.3846/1392-8619.2008.14.492-502
Kapliński, O. 2009. Information Technology in the Development of the Polish Construction Industry, Technological and Economic Development of Economy 15(3): 437–452. doi:10.3846/1392-8619.2009.15.437-452
Kapliński, O.; Tamošaitienė, J. 2010. Game Theory Applications in Construction Engineering and Management, Technological and Economic Development of Economy 16(2): 348–363. doi:10.3846/tede.2010.22
Kapliński, O.; Tupenaite, L. 2011. Review of the Multiple Criteria Decision Making Methods, Intelligent and Biometric Systems Applied in Modern Construction Economics, Transformations in Business & Economics 10(1): 166–181.
Karlowski, A.; Paslawski, J. 2008. Monitoring of Construction Processes in the Variable Environment, Technological and Economic Development of Economy 14(4): 503–517. doi:10.3846/1392-8619.2008.14.503-517
Kim, S.-G. 2010. Risk Performance Indexes and Measurement Systems for Mega Construction Projects, Journal of Civil Engineering and Management 16(4): 586–594. doi:10.3846/jcem.2010.65
Ku, A. 2003. Risk and Flexibility in Electricity: Introduction to the Fundamentals and Techniques. Risk Books. 241 p. ISBN 1904339115
Lim, B. T. H.; Ling, F. Y. Y.; Ibbs, C. W.; Raphael, B.; Ofori, G. 2011. Empirical Analysis of the Determinants of Organizational Flexibility in the Construction Business, Journal of Construction Engineering and Management 137(3): 225–237. doi:10.1061/(ASCE)CO.1943-7862.0000272
Mayer, Z.; Kazakidis, V. 2007. Decision Making in Flexible Mine Production System Design using Real Options, Journal of Construction Engineering and Management 133(2): 169–180. doi:10.1061/(ASCE)0733-9364(2007)133:2(169)
Mitropoulos, P.; Howell, G. 2001. Model for Understanding, Preventing and Resolving Project Disputes, Journal of Construction Engineering and Management 127(3): 223–231. doi:10.1061/(ASCE)0733-9364(2001)127:3(223)
Nilchiani, R.; Hastings, D. 2007. Measuring the Value of Space Systems Flexibility: a Comprehensive Six-Element Framework, Systems Engineering 10(1): 26–44. doi:10.1002/sys.20062
Paslawski, J. 2008. Flexibility Approach in the Runway Pavement Using FLEMANCO Method, Transport 23(4): 341–350. doi:10.3846/1648-4142.2008.23.341-350
Paslawski, J. 2009. Elastyczność w zarządzaniu realizacją procesów budowlanych. Poznan: Poznan University of Technology. 214 p.
Paslawski, J. 2009. Flexibility in Highway Noise Management, Transport 24(1): 66–75. doi:10.3846/1648-4142.2009.24.66-75
Smith, D. J. 2003. Planning and Flexibility – Key to Reducing Plant Design and Construction Cost, Power Engineering 107(2): 62–66.
Thal, Jr. A. E.; Cook, J. J.; White, E. D. 2010. Estimation of Cost Contingency for Air Force Construction Projects, Journal of Construction Engineering and Management 136(11): 1181–1188. doi:10.1061/(ASCE)CO.1943-7862.0000227
Turskis, Z.; Zavadskas, E. K. 2010. A Novel Method Multiple Criteria Analysis: Grey Additive Ratio Assessment (ARAS-G) Method, Informatica 21(4): 597–610.
Wadhwa, S.; Rao, K. S. 2004. A Unified Framework for Manufacturing and Supply Chain Flexibility, Global Journal of Flexible Systems Management 5(1): 15–22.
Wiltbank, R.; Dew, N.; Read, S.; Sarasvathy, S. D. 2006. What to Do Next? The Case for Non-Predictive Strategy, Strategic Management Journal 27(10): 981–998. doi:10.1002/smj.555
Zavadskas, E. K.; Turskis, Z. 2011. Multiple Criteria Decision Making (MCDM) Methods in Economics: an Overview, Technological and Economic Development of Economy 17(2): 397–427. doi:10.3846/20294913.2011.593291
Zavadskas, E. K. 2010. Automation and Robotics in Construction: International Research and Achievements, Automation in Construction 19(3): 286–290. doi:10.1016/j.autcon. 2009.12.011
Zavadskas, E. K.; Turskis, Z. 2010. A New Additive Ratio Assessment (ARAS) Method in Multicriteria Decision-Making, Technological and Economic Development of Economy 16(2): 159–172. doi:10.3846/tede.2010.10
Zavadskas, E. K.; Turskis, Z.; Tamošaitienė, J. 2010. Risk Assessment of Construction Projects, Journal of Civil Engineering and Management 16(1): 33–46. doi:10.3846/jcem.2010.03
Zavadskas, E. K.; Kaklauskas, A.; Turskis, Z.; Tamosaitienė, J. 2009. Multi-Attribute Decision-Making Model by Applying Grey Numbers, Informatica 20(2): 305–320.
Downloads
Published
Issue
Section
License
Copyright (c) 2011 Vilnius Gediminas Technical University (VGTU) Press Technika
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
