Abstract
Off-site construction operations can be subject to downstream construction site disruptions. These disruptions - such as forecasted high wind conditions which will limit on-site crane movements for example - delay on-site construction and impact on the effectiveness of the off-site production of construction modules. In this paper we propose a new disruption management strategy of Dynamic Postponement. Simulation Based Optimisation by use of a Genetic Algorithm is used to determine the optimal balance between on/off-site work to maximise performance. This method is applied to an industrial case study. Finally, an outline of how Dynamic Postponement can be treated as an agent based system is provided.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Al-bazi, A., Dawood, N.: Simulation-based genetic algorithms for construction supply chain management: off-site precast concrete production as a case study. OR Insight 25(3), 165–184 (2012). https://doi.org/10.1057/ori.2012.7
Alvanchi, A., et al.: Off-site construction planning using discrete event simulation. J. Archit. Eng. 18(2), 114–122 (2012). http://www.scopus.com/inward/record.url?eid=2-s2.0-84862581085&partnerID=40&md5=fa90e0e8330aa95adf5de153a8a85001
Anvari, B., Angeloudis, P., Ochieng, W.Y.: A multi-objective GA-based optimisation for holistic Manufacturing, transportation and assembly of precast construction. Autom. Constr. 71(Part 2), 226–241 (2016). https://doi.org/10.1016/j.autcon.2016.08.007
Arashpour, M., et al.: Off-site construction optimization: sequencing multiple job classes with time constraints. Autom. Constr. 71(Part 2), 262–270 (2016)
Arashpour, M., et al.: Optimal process integration architectures in off-site construction: theorizing the use of multi-skilled resources. Archit. Eng. Des. Manag. 14(1–2), 46–59 (2018). https://doi.org/10.1080/17452007.2017.1302406
Arashpour, M., et al.: Optimization of process integration and multi-skilled resource utilization in off-site construction. Autom. Constr. 50(C), 72–80 (2015)
Aytug, H., et al.: Executing production schedules in the face of uncertainties: a review and some future directions. Eur. J. Oper. Res. 161(1), 86–110 (2005)
Building Research Estabilishment: Modern Methods of Construction-MMC (2009). https://www.bre.co.uk/filelibrary/pdf/rpts/BeAware_MMC_Sector_Report_02Mar09.pdf
Hamdan, S.B., et al.: Simulation based multi-objective cost-time trade-off for multi-family residential off-site construction. In: Proceedings of Winter Simulation Conference, pp. 3391–3401, February 2016
Hosseini, M.R., et al.: Critical evaluation of off-site construction research: a scientometric analysis. Autom. Constr. 87(2017), 235–247 (2018). https://doi.org/10.1016/j.autcon.2017.12.002
Johnsson, H., Meiling, J.H.: Defects in offsite construction: timber module prefabrication. Constr. Manag. Econ. 27(7), 667–681 (2009)
Juan, A.A., et al.: A simheuristic algorithm for solving the permutation flow shop problem with stochastic processing times. Simul. Model. Pract. Theory 46, 101–117 (2014). https://doi.org/10.1016/j.simpat.2014.02.005
Kempton, J., Syms, P.: Modern methods of construction. Struct. Surv. 27(1), 36–45 (2009). www.emeraldinsight.com/doi/abs/10.1108/02630800910941674
Li, S., et al.: The impact of supply chain management practices on competitive advantage and organizational performance. Omega 34(2), 107–124 (2006)
Martinez, J.C.: Methodology for conducting discrete-event simulation studies in construction engineering and management. J. Constr. Eng. Manag. 136(1), 3–16 (2009)
Melanie, M.: An Introduction to Genetic Algorithms. A Bradford Book. MIT Press, Cambridge (1996). ISBN: 9780262133166
O’Connor, J.T., O’Brien, W.J., Choi, J.O.: Industrial project execution planning: modularization versus stick-built. Pract. Period. Struct. Des. Constr. 21(1), 401 (2016). http://ascelibrary.org/doi/10.1061/%28ASCE%29SC.1943-5576.0000270
Pan, W., Gibb, A.G.F., Dainty, A.R.J.: Perspectives of UK housebuilders on the use of offsite modern methods of construction. Constr. Manag. Econ. 25(2), 183–194 (2007)
Ribas, I., Leisten, R., Framinan, J.M.: Review and classification of hybrid flow shop scheduling problems from a production system and a solutions procedure perspective. Comput. Oper. Res. 37(8), 1439–1454 (2010)
Sankar, S.S., Ponnanbalam, S.G., Rajendran, C.: A multiobjective genetic algorithm for scheduling a flexible manufacturing system. Int. J. Adv. Manuf. Technol. 22(3–4), 229–236 (2003)
Srivastava, U.K., et al.: Quantitative Techniques for Managerial Decisions. Wiley, Hoboken (1989)
Venables, T., Courtney, R.: Modern methods of construction in Germany: playing the off-site rule. Report of a DTI Global Watch Mission (2004). http://www3.imperial.ac.uk/pls/portallive/docs/1/40872.PDF
Yang, B., Geunes, J.: Predictive-reactive scheduling on a single resource with uncertain future jobs. Eur. J. Oper. Res. 189(3), 1267–1283 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Robertson, B., Srinivasan, R., McFarlane, D. (2019). Dynamic Postponement in Off-Site/On-Site Construction Operations in the Face of On-Site Disruptions. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. SOHOMA 2018. Studies in Computational Intelligence, vol 803. Springer, Cham. https://doi.org/10.1007/978-3-030-03003-2_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-03003-2_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03002-5
Online ISBN: 978-3-030-03003-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)