Development of Multi-Dimensional Control Tool for Controlling Construction Project’s Performance


  • Nimra Zafar Architectural Engineering & design Department, UET Lahore.
  • EKATERINA GAVRISHYK ushkin Institute, Moscow


The reputation of construction industry is not so good in completing projects on planned time and budget. Irrespective of academic attention and years of practice in the field of project management, project’s performance remains challenging. Construction projects involve complex processes as they continue to develop. Complication and uncertainty in construction projects validate the requirement of exploring further tools and techniques for project’s performance and development. The issue of delay in project’s completion and increased cost may result in formation of some other problems. There is a dire need of utilization of analytical tools for controlling projects that enables the project manager to play their role effectively and also provide simulations so that corrective actions can be taken at right time. The aim of the research is to develop innovative and sensitive indicators in five dimensions (5D, time, cost, safety, quality, disputes & claims) for project performance measurement, monitoring and control by modifying EVMS and to develop control tool on spreadsheet to cater identified indicators for better project performance measurement, monitoring and control (5D) by test run of 3 real time projects & making analysis of performance. To control time, cost, quality, safety, disputes and claims, a project control tool has been developed by incorporating different performance control indicators and have been implemented on Mega Constructions Projects. This research develops control tool in order to put forward a project monitoring and control system that works in such a way to indicate the variations and report’s project status and gives warnings for corrective actions. This control tool can be further utilized by project managers to timely evaluate their projects for better performance.

Author Biography

Nimra Zafar, Architectural Engineering & design Department, UET Lahore.

I am lecturer at Building and Construction Department, University of South Asia. Lahore.



K.R. Goheen and E.R. Jefferys, “The application of alternative modeling techniques to ROV dynamics”, in Proceedings of IEEE International Conference Robotics and Automation, vol. 2, pp. 1302-1309, May 1990.

D J Lewis, J M Lipscomb, and P G Thompson, “The simulation of remotely operated underwater vehicles,” in Proc ROV ’84 The Marine Technology Society, San Diego,CA, pp 245-252, 1984.

G T Russel and J Bugge, “Adaptive estimator for the automatic guidance of an unmanned submersible,” Proc Inst Elec Engg, vol 128, pt D , pp 223-226, Sept 1981.

J. Yuh, “Modeling and control of underwater vehicles,” IEEE Trans Syst., Man, Cybern., vol. 20, pp. 1475-1483, 1990.

K R Goheen, E R Jefferys, and D R Broome, “Robust self designing controllers for underwater vehicles,’’ Trans ASME J Offshore Mechanics and Arctzc Eng , vol 109, pp 170-178, May 1987.

D. R. Yoerger and J. J. E. Slotine, “Robust trajectory control of underwater vehicles,” IEEE J. Oceanic Eng., vol. 10, pp. 462-470, Oct. 1985.

D. R. Yoerger, J. G. Cooke, and J. J. E. Slotine, “The influence of thruster dynamics on underwater vehicle behavior and their incorporation in design,” IEEE J. Oceanic Eng* vol. 15, pp. 167-179, 1991.

T I Fossen and S Sagatun, “Adaptive control of nonlinear systems A case study of underwater robotic systems,” J Robotic Systems, vol 8, pp. 393412, 1991.

A G Lindgren, D B Cretella, and A F Bessacini, “Dynamics and control of submerged vehicles,” Trans Instrument Society of American, vol 6, pp 335-346, Dec 1967.

D. B. Young, “Model investigation of the stability and control characteristics of the contract design for the deep submergence rescue vehicle (DSRV),” Rep. 3030, David Taylor Research Center, Bethesda, MD, Apr. 1969.

Gertler and G R Hagen, “Standard equations of motion for submarine simulations,” NSRDC Rep 2510, 1967.

R J Richards and D P h e n , “Depth control of a submersible vehicle,” In Ship building Progress, vol 28, pp 30-39, Feb 1981.

G L Milhken, “Multivariable control of an underwater vehicle,” M S Thesis, MIT, Cambridge, MA, 1984.

D Humphries, “Dynamics and hydrodynamics of ocean vehicles,” in IEEE Oceans ’81 Conf Proc, vol 1, pp 88-91, 1981.

G J Dobeck, K W Wadanson, and E H Freeman, “Navigation, guidance, and control of an autonomous 30-foot model submarine,” Rep NCSC TR 370-82, Naval Coastal Systems Center, Panama City, FL, June 1982.

M. J. Ruth and D. E. Humphreys, “A robust multivariable control system for low speed W V operation,” in Proc. AUV ’90, IEEE Catalog No. 9OCH2856-3, pp. 51-59, 1990.

F Dougherty and G Woolweaver, “At sea testing of an unmanned underwater vehicle flight control system,” in Proc AUV 90, IEEE Catalog No 90CH2856-3, 1990, pp51-59.

R Crish, F A Papoulias, and A J Healey, “Adaptive sliding mode control of autonomous underwater vehicles in the dive plane,” IEEE J Oceanic Eng, vol 15, pp 462410 1991.

D Humphries, “Dynamics and hydrodynamics of ocean vehicles,” in IEEE Oceans ’81 Conf Proc, vol 1, pp 88-91, 1981.

Fossen, T. I. (1994). Guidance and Control of Ocean Vehicles. John Wiley and Sons Ltd.

J. Healey and David Lienard “Multivariable Sliding Mode Control for Autonomous Diving and Steering of Unmanned Underwater Vehicles, IEEE journal of oceanic engineering, vol. 18, no. 3, JULY 1993.

R.A. DeClarlo, S. H. Zak, and G. R. Mathews, “Variable structure control of nonlinear multivariable systems: A Tutorial,” Proceedings of IEEE, vol. 76, no. 3, pp 212-232, 1988.

J. J. Slotine, and W. P. Li, Applied Nonlinear Control, Prentice-Hall, Inc.,New Jersey, 1991.

J. Y. Hung, W. Gao, and J. C. Hung, “Variable structure control: A survey,” IEEE Transaction on Industrial Electronics, vol. 40, no. 1, Feb., 1993.

Mariottini, G. L., Oriolo, G. & Prattichizzo, D. (2007). Image-based visual servoing fornonholonomic mobile robots using epipolar geometry, IEEE Transactions on Robotics 23(1): 87–100.

Fuzzy Logic Toolbox For Use with MATLAB, The Mathworks Inc., version 2, Natick, MA, 2006.

Choi, B. J., Kwak, S. W., and Kim, B. K. Design and Stability Analysis of Single-Input Fuzzy Logic Controller. IEEE Transaction on Systems, Man and Cybernetics-Part B: Cybernetics. 2000. 30(2): 303-309

Viswanathan, K., Oruganti, R., and Srinivasan, D. Nonlinear Function Controller: A Simple Alternative to Fuzzy Logic Controller for a Power Electronic Converter. IEEE Transaction on Industrial Electronics. 2005. 52(5): 1439-1448.

Kashif Ishaque • S. S. Abdullah • S. M. Ayob • Z. Salam Single Input Fuzzy Logic Controller for Unmanned Underwater Vehicle Received: 25 August 2009 / Accepted: 11 January 2010 / Published online: 26 February 2010 © Springer Science+Business Media B.V. 2010.

Kashif Ishaque, S. S. Abdullah, S.M. Ayub, Zainal Salam "A simplified approach to design fuzzy logic controller for an underwater vehicle Ocean Engineering Vol: 38 pp: 271-284. 2011.

Pierson, W.J.,Moskowitz,L.,1963.A proposed spectral form forfully developed wind seas based on the similarity theory of S.A Kitaigoro dsku.U.S. Naval Oceano-graphic OfficeContract62306_1042.

Saelid, S.,Jenssen, N.A.,Balchen, J.G.,1983. Design and analysis of a dynamic positioning system based on Kalman filter in gand optimal control. Automatic Control—Transactions ofIEEE28(3),331–339.






Civil Engineering,Structures, Construction, Geo technology, Water, Transportation