Model of Equipment Sharing between Contractors on Construction Projects
This article has been corrected.
VIEW CORRECTIONPublication: Journal of Construction Engineering and Management
Volume 144, Issue 6
Abstract
Because of significant characteristics such as complexity and uncertainty, the construction schedules of large-scale projects are often postponed as a result of a shortage of important equipment. By sharing its own incentive reward with other contractors for acquiring extra equipment, a contractor with a lack of equipment resources can reduce time delays and even complete projects in advance. This paper focuses on analyzing onsite construction equipment sharing among contractors from different sections of the same project. First, two forms of time incentives are applied to encourage the contractors to decrease their construction duration by sharing equipment resources. Then, based on an analysis of the influence that equipment sharing has on construction duration, a Stackelberg model among the equipment-sharing contractors is developed to build the contractors’ gain functions and simulate the equipment-sharing process. Finally, a numerical analysis is conducted to analyze the effect that a time incentive and construction costs have on the contractors’ benefits. The results demonstrate that the incentive for a contractor needing more equipment is positively associated with the gains of both contractors, whereas the incentive for the contractor lending out equipment acts inversely. This paper contributes to the body of knowledge for understanding the process of onsite equipment sharing among contractors. By capturing the contractors’ aspect of equipment sharing, this study provides a practical model to aid the client in settling resource-leveling problems rather than using traditional approaches that have been conducted from the client’s perspective. This research should be beneficial for project managers to better understand how suitable incentive contracts can facilitate equipment sharing among contractors and consequently help ensure construction schedule.
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Data Availability Statement
Data generated or analyzed during the study are available from the corresponding author by request. Information about the Journal’s data sharing policy can be found here: http://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001263.
References
Asgari, S., Afshar, A., and Madani, K. (2014). “Cooperative game theoretic framework for joint resource management in construction.” J. Constr. Eng. Manage., .
Avetisyan, H., and Skibniewski, M. (2017). “Web-based construction equipment fleet management system: Cost-effective global and local allocation.” Front Eng. Manage., 4(1), 76–83.
Avetisyan, H., Skibniewski, M., and Mozaffarpour, M. (2017). “Analyzing sustainability of construction equipment in the state of California.” Front Eng. Manage., 4(2), 138–145.
Bendoly, E., Perry-Smith, J. E., and Bachrach, D. G. (2010). “The perception of difficulty in project-work planning and its impact on resource sharing.” J. Oper. Manage., 28(5), 385–397.
Berthold, T., Heinz, S., Lübbecke, M., Möhring, R., and Schulz, J. (2010). “A constraint integer programming approach for resource-constrained project scheduling.” Int. Conf. on Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, Vol. 3, Springer, Berlin, 313–317.
Browning, T. R., and Yassine, A. A. (2010). “Resource-constrained multi-project scheduling: Priority rule performance revisited.” Int. J. Prod. Econ., 126(2), 212–228.
Callahan, M. T., Quackenbush, D. G., and Rowings, J. E. (1992). Construction project scheduling, McGraw-Hill, New York.
Chen, P. H., and Shahandashti, S. M. (2009). “Hybrid of genetic algorithm and simulated annealing for multiple project scheduling with multiple resource constraints.” Autom. Constr., 18(4), 434–443.
Chen, W. T., and Chen, T. T. (2007). “Critical success factors for construction partnering in Taiwan.” Int. J. Project Manage., 25(5), 475–484.
Confessore, G., Giordani, S., and Rismondo, S. (2007). “A market-based multi-agent system model for decentralized multi-project scheduling.” Ann. Oper. Res., 150(1), 115–135.
Easa, S. M. (1989). “Resource leveling in construction by optimization.” J. Constr. Eng. Manage., 302–316.
Edwards, D. J., and Holt, G. D. (2009). “Construction plant and equipment management research: Thematic review.” J. Eng. Des. Technol., 7(2), 186–206.
Fink, A. (2006). “Supply chain coordination by means of automated negotiations between autonomous agents.” Multiagent based supply chain management, Springer, Berlin, 351–372.
Florida DOT. (1997). “Alternative contracting program preliminary evaluation.”, Tallahassee, FL.
Gonçalves, J. F., Mendes, J. J. M., and Resende, M. G. C. (2008). “A genetic algorithm for the resource constrained multi-project scheduling problem.” Eur. J. Oper. Res., 189(3), 1171–1190.
Homberger, J. (2007). “A multi-agent system for the decentralized resource-constrained multi-project scheduling problem.” Int. Trans. Oper. Res., 14(6), 565–589.
Homberger, J. (2012). “A -coordination mechanism for agent-based multi-project scheduling.” OR Spectr., 34(1), 107–132.
Karaa, F. A., and Nasr, A. Y. (1986). “Resource management in construction.” J. Constr. Eng. Manage., 346–357.
Lau, J. S. K., Huang, G. Q., Mak, K. L., and Liang, L. (2006). “Agent-based modeling of supply chains for distributed scheduling.” IEEE Trans. Syst. Man Cybern. Part A: Syst. Humans, 36(5), 847–861.
Lee, Y. H., Kumara, S. R. T., and Chatterjee, K. (2003). “Multiagent based dynamic resource scheduling for distributed multiple projects using a market mechanism.” J. Intell. Manuf., 14(5), 471–484.
Liu, H., Wang, M., Skibniewski, M. J., He, J., and Zhang, Z. (2014). “Identification of critical success factors for construction innovation: From the perspective of strategic cooperation.” Front. Eng. Manage., 1(2), 202–209.
Liu, S. X., and Song, J. H. (2011). “Combination of constraint programming and mathematical programming for solving resources-constrained project-scheduling problems.” Control Theory Appl., 28(8), 1113–1120.
Perera, S. (1983). “Resource sharing in linear construction.” J. Constr. Eng. Manage., 102–111.
Samaddar, S., Nargundkar, S., and Daley, M. (2006). “Inter-organizational information sharing: The role of supply network configuration and partner goal congruence.” Eur. J. Oper. Res., 174(2), 744–765.
Scherer, F. M. (1996). “Heinrich von Stackelberg’s Marktform und Gleichgewicht.” J. Econ. Stud., 23(5–6), 58–70.
Shr, J. F., and Chen, W. T. (2003). “A method to determine minimum contract bids for incentive highway projects.” Int. J. Proj. Manage., 21(8), 601–615.
Shr, J. F., and Chen, W. T. (2006). “Functional model of cost and time for highway construction projects.” J. Marine. Sci. Tech., 14(3), 127–138.
Wang, X., and Wu, S. (2017). “Mechanism design of reverse auction on concession period and generalized quality for PPP projects.” Front. Eng. Manage., 4(2), 156–170.
Xu, C. J., and Li, A. P. (2010). “Multi-project scheduling algorithm based on resource push-pull technology.” Comput. Integr. Manuf. Syst., 16(6), 1246–1254.
Xu, J., Meng, J., Zeng, Z., Wu, S., and Shen, M. (2013). “Resource sharing-based multiobjective multistage construction equipment allocation under fuzzy environment.” J. Constr. Eng. Manage., 161–173.
Xu, J., and Zeng, Z. (2011). “Applying optimal control model to dynamic equipment allocation problem: Case study of concrete-faced rockfill dam construction project.” J. Constr. Eng. Manage., 536–550.
Ying, Y., and Shou, Y. Y. (2009). “Resource-constrained multi-project scheduling based on combinatorial auction method.” Jisuanji Jicheng Zhizao Xitong/Computer Integr. Manuf. Syst. CIMS, 15(11), 2160–2165.
Zhang, Y. (2011). “The lease mode of the engineering equipments according to government bidding.” Int. Conf. on Engineering Education and Management (ICEEM2011), Vol. 112, Springer, Berlin, 199.
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©2018 American Society of Civil Engineers.
History
Received: Jun 8, 2017
Accepted: Nov 15, 2017
Published online: Mar 29, 2018
Published in print: Jun 1, 2018
Discussion open until: Aug 29, 2018
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