Technical Papers
Mar 29, 2018

Model of Equipment Sharing between Contractors on Construction Projects

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Publication: 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.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 144Issue 6June 2018

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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Ph.D. Candidate, School of Automation, Huazhong Univ. of Science and Technology, Wuhan 430074, China. E-mail: [email protected]
Hongwei Wang, Ph.D. [email protected]
Professor, School of Management, Huazhong Univ. of Science and Technology, Wuhan 430074, China (corresponding author). E-mail: [email protected]
Heng Li, Ph.D. [email protected]
Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Kowloon 999077, Hong Kong. E-mail: [email protected]

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