Case Studies
Jul 9, 2015

Quantitative Analysis of Rate-Driven and Due Date–Driven Construction: Production Efficiency, Supervision, and Controllability in Residential Projects

Publication: Journal of Construction Engineering and Management
Volume 142, Issue 1

Abstract

Concerns about production efficiency, quality, and affordability in the residential construction indicate there may be benefits in adopting alternative production control strategies to those traditionally used. Reducing adverse effects of exogenous variability in demand and endogenous variability in process are the ultimate goals of production control strategies. For residential construction this means controlling the number of houses under construction and controlling the start rate of new house constructions. The aim of this investigation is to compare and contrast the outcomes of these two production management strategies. Production data of two volume house builders in Victoria and Queensland, Australia, were collected. Tangible performance metrics from the builders were analyzed and compared using the principles of queuing theory. Then numerous simulation experiments were designed and run to analyze different what-if scenarios in the building environment. A special purpose simulation template was developed to define a cap for production and limit the number of houses under construction based on actual demand and available capacity. The findings reveal that rate-driven construction outperforms due date–driven construction in terms of three studied performance measures. This investigation adopts an original and quantitative approach towards three production aspects of efficiency, supervision and controllability. Therefore it contributes to the body of knowledge by developing an in-depth insight into superior performance of the rate-driven control strategy with the intention of improving production output and long term sustainability of residential and other subsectors of the construction industry.

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Acknowledgments

The project is partly funded by grant number HDRPG-2014 from the School of Graduate Research at RMIT University. The authors would like to express their appreciation to three anonymous reviewers in the Journal of Construction Engineering and Management for their constructive comments. Application of the comments has improved quality of this work substantially.

References

AbouRizk, S., Halpin, D., Mohamed, Y., and Hermann, U. (2011). “Research in modeling and simulation for improving construction engineering operations.” J. Constr. Eng. Manage., 843–852.
AbouRizk, S., Knowles, P., and Herman, U. (2001). “Estimating labor production rate for industrial construction activities.” J. Constr. Eng. Manage., 502–511.
Akhavian, R., and Behzadan, A. H. (2014). “Evaluation of queuing systems for knowledge-based simulation of construction processes.” Autom. Constr., 47, 37–49.
Arashpour, M. (2014). “FULFIL: Production control system for managing workflow, quality and flexibility in construction.” Ph.D. thesis, RMIT Univ., Melbourne, Australia.
Arashpour, M., and Arashpour, M. (2010). “Gaining the best value from HR in construction companies.” Proc., 6th European Conf. on Management Leadership and Governance, Academic Conferences and Publishing International Limited, London.
Arashpour, M., and Arashpour, M. (2012). “A collaborative perspective in green construction risk management.” 37th Annual Conf. of the Australasian Universities Building Educators Association (AUBEA), UTS Publishing, NSW, Australia.
Arashpour, M., and Arashpour, M. (2015). “Analysis of workflow variability and its impacts on productivity and performance in construction of multistory buildings.” J. Manage. Eng., 04015006.
Arashpour, M., Shabanikia, M., and Arashpour, M. (2012). “Valuing the contribution of knowledge-oriented workers to projects: A merit based approach in the construction industry.” Australas. J. Constr. Econ. Build., 12(4), 1–12.
Arashpour, M., Wakefield, R., and Blismas, N. (2013a). “Improving construction productivity: Implications of even flow production principles.” CIB World Building Congress 2013: Construction and Society, Queensland Univ. of Technology, Australia.
Arashpour, M., Wakefield, R., Blismas, N., and Lee, E. W. M. (2013b). “A new approach for modelling variability in residential construction projects.” Australas. J. Constr. Econ. Build., 13(2), 83–92.
Arashpour, M., Wakefield, R., Blismas, N., and Lee, E. W. M. (2014a). “Analysis of disruptions caused by construction field rework on productivity in residential projects.” J. Constr. Eng. Manage., 04013053.
Arashpour, M., Wakefield, R., Blismas, N., and Lee, E. W. M. (2014b). “Framework for improving workflow stability: Deployment of optimized capacity buffers in a synchronized construction production.” Can. J. Civ. Eng., 41(12), 995–1004.
Arashpour, M., Wakefield, R., Blismas, N., and Maqsood, T. (2015a). “Autonomous production tracking for augmenting output in off-site construction.” Autom. Constr., 53, 13–21.
Arashpour, M., Wakefield, R., Blismas, N., and Minas, J. (2015b). “Optimization of process integration and multi-skilled resource utilization in off-site construction.” Autom. Constr., 50(1), 72–80.
ARENA [Computer software]. Rockwell Automation.
Ballard, H. G. (2000). “The last planner system of production control.” Ph.D. dissertation, Univ. of Birmingham, Birmingham, U.K.
Bashford, H. H., Sawhney, A., Walsh, K. D., and Kot, K. (2003). “Implications of even flow production methodology for U.S. housing industry.” J. Constr. Eng. Manage., 330–337.
Bashford, H. H., Walsh, K. D., and Sawhney, A. (2005). “Production system loading-cycle time relationship in residential construction.” J. Constr. Eng. Manage., 15–22.
Brodetskaia, I., Sacks, R., and Shapira, A. (2013). “Stabilizing production flow of interior and finishing works with reentrant flow in building construction.” J. Constr. Eng. Manage., 665–674.
Castro-Lacouture, D., Süer, G. A., Gonzalez-Joaqui, J., and Yates, J. K. (2009). “Construction project scheduling with time, cost, and material restrictions using fuzzy mathematical models and critical path method.” J. Constr. Eng. Manage., 1096–1104.
Cates, G. R. (2004). “Improving project management with simulation and completion distribution functions.” Ph.D. dissertation, Univ. of Central Florida, Orlando, FL.
Chan, R. W. K., Yuen, J. K. K., Lee, E. W. M., and Arashpour, M. (2015). “Application of nonlinear-autoregressive-exogenous model to predict the hysteretic behaviour of passive control systems.” Eng. Struct., 85(1), 1–10.
Cheng, M.-Y., Huang, C.-C., and Roy, A. F. V. (2013). “Predicting project success in construction using an evolutionary Gaussian process inference model.” J. Civ. Eng. Manage., 19(suppl. 1), S202–S211.
Dalton, T., Wakefield, R., and Horne, R. (2011). “Australian suburban house building: Industry organisation, practices and constraints.” Australian Housing and Urban Research Institute Positioning Paper Series (213), 1–56.
De la Garza, J., Hancher, D., and Decker, L. (2000). “Analysis of safety indicators in construction.” J. Constr. Eng. Manage., 312–314.
De la Garza, J., and Kyunghwan, K. (2009). “Application of the resource-constrained critical path method to multiple calendars and progressed schedules.” Construction Research Congress 2009, ASCE, Reston, VA, 916–925.
Farid, F., and Koning, T. (1994). “Simulation verifies queuing program for selecting loader-truck fleets.” J. Constr. Eng. Manage., 386–404.
Fellows, R. F., and Liu, A. M. M. (2008). Research methods for construction, 3rd Ed., Wiley-Blackwell.
Goldratt, E. M., and Cox, J. (2005). “A process of ongoing improvement.” J. Manuf. Technol. Manage., 16(3), 302–311.
González, V., Alarcón, L., Maturana, S., and Bustamante, J. (2011). “Site management of work-in-process buffers to enhance project performance using the reliable commitment model: Case study.” J. Constr. Eng. Manage., 707–715.
Gouett, M., Haas, C., Goodrum, P., and Caldas, C. (2011). “Activity analysis for direct-work rate improvement in construction.” J. Constr. Eng. Manage., 1117–1124.
Gurevich, U., and Sacks, R. (2014). “Examination of the effects of a KanBIM production control system on subcontractors’ task selections in interior works.” Autom. Constr., 37, 81–87.
Halbach, E., and Halme, A. (2013). “Job planning and supervisory control for automated earthmoving using 3D graphical tools.” Autom. Constr., 32(0), 145–160.
Halpin, D. W. (2010). Construction management, Wiley.
Hopp, W. J., and Spearman, M. L. (2011). Factory physics, 3rd Ed., Waveland.
Hwang, S., Park, M., Lee, H., Lee, S., and Kim, H. (2012). “Dynamic feasibility analysis of the housing supply strategies in a recession: Korean housing market.” J. Constr. Eng. Manage., 148–160.
Kendall, D. G. (1953). “Stochastic processes occurring in the theory of queues and their analysis by the method of the imbedded Markov chain.” Ann. Math. Stat., 24(3), 338–354.
Koskela, L. (2000). “An exploration towards a production theory and its application to construction.” Ph.D. dissertation, Helsinki Univ. of Technology, VTT Technical Research Centre of Finland, Helsinki, Finland.
Koskela, L., Sacks, R., and Rooke, J. (2012). “A brief history of the concept of waste in production.” 20th Conf. of the Int. Group for Lean Construction, San Diego.
Lee, E. W. M., Fung, I. W. H., Tam, V. W. Y., and Arashpour, M. (2014). “A fully autonomous kernel-based online learning neural network model and its application to building cooling load prediction.” Soft Comput., 18(10),1999–2014.
Liu, J. J. (2010). “Inventory control through a CONWIP pull production system.” Ph.D. dissertation, Massachusetts Institute of Technology, MA.
Lu, M., and Lam, H. C. (2008). “Critical path scheduling under resource calendar constraints.” J. Constr. Eng. Manage., 25–31.
Lucko, G., Alves, T. D. C. L., and Angelim, V. L. (2014). “Challenges and opportunities for productivity improvement studies in linear, repetitive, and location-based scheduling.” Constr. Manage. Econ., 32(6), 575–594.
Martinez, J. C. (2010). “Methodology for conducting discrete-event simulation studies in construction engineering and management.” J. Constr. Eng. Manage., 3–16.
Mielczarek, B. (2013). “Simulation modelling for contracting hospital emergency services at the regional level.” Eur. J. Oper. Res., 235(1), 287–299.
Moselhi, O., and Khan, Z. (2012). “Significance ranking of parameters impacting construction labour productivity.” Constr. Innovation, 12(3), 272–296.
Palaniappan, S., Sawhney, A., Bashford, H. H., and Walsh, K. D. (2007). “Special purpose simulation template for workflow analysis in construction.” Winter Simulation Conf., Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society (IEEE SMC).
Peña-Mora, F., Han, S., Lee, S., and Park, M. (2008). “Strategic-operational construction management: Hybrid system dynamics and discrete event approach.” J. Constr. Eng. Manage., 701–710.
Sacks, R., and Goldin, M. (2007). “Lean management model for construction of high-rise apartment buildings.” J. Constr. Eng. Manage., 374–384.
Sacks, R., Treckmann, M., and Rozenfeld, O. (2009). “Visualization of work flow to support lean construction.” J. Constr. Eng. Manage., 1307–1315.
Sawhney, A., Walsh, K. D., Bashford, H. H., and Palaniappan, S. (2009). “Impact of inspected buffers on production parameters of construction processes.” J. Constr. Eng. Manage., 319–329.
Skibniewski, M. J., and Ghosh, S. (2009). “Determination of key performance indicators with enterprise resource planning systems in engineering construction firms.” J. Constr. Eng. Manage., 965–978.
Spearman, M. L., and Zazanis, M. A. (1992). “Push and pull production systems: Issues and comparisons.” Oper. Res., 40(3), 521–532.
Walsh, K. D., Bashford, H. H., Sawhney, A., and Witjakso, A. (2004). “Cost of risk transfer: Pricing agreements in residential supply chains.” J. Archit. Eng., 112–118.
Walsh, K. D., Sawhney, A., and Bashford, H. H. (2007). “Production equations for unsteady-state construction processes.” J. Constr. Eng. Manage., 254–261.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 142Issue 1January 2016

History

Received: Sep 26, 2014
Accepted: May 18, 2015
Published online: Jul 9, 2015
Discussion open until: Dec 9, 2015
Published in print: Jan 1, 2016

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Authors

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Mehrdad Arashpour, M.ASCE [email protected]
Lecturer, School of Property, Construction and Project Management, RMIT Univ., Melbourne, VIC 3000, Australia (corresponding author). E-mail: [email protected]
Ron Wakefield, M.ASCE [email protected]
Professor of Construction, Head of School of Property, Construction and Project Management, RMIT Univ., Melbourne, VIC 3000, Australia. E-mail: [email protected]
Nick Blismas [email protected]
Professor, School of Property, Construction and Project Management, RMIT Univ., Melbourne, VIC 3000, Australia. E-mail: [email protected]
Babak Abbasi [email protected]
Senior Lecturer, School of Mathematical and Geospatial Sciences, RMIT Univ., Melbourne, VIC 3000, Australia. E-mail: [email protected]

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