Evaluation of labor hiring policies in construction projects performance using system dynamics

Abstract

Purpose

The purpose of this paper is to assess different labor hiring policies for construction projects using system dynamics (SD) which have a considerable impact on project performance. Time intervals and work crew composition are two such policies. Through the implementation of a variety of policies, a managerial opportunity presents itself for the effective allocation of human resources and improvement in project performance.

Design/methodology/approach

The study developed a dynamic model to assess different labor hiring policies using SD based on literature. To further distinguish between findings, the effects of the applied policies on performance were considered using earned value management. Based on a real case for validating the model, the paper discusses the potential benefits of the model, including: having a systematic and holistic view, considering dynamic the labor need and allocation, identifying alternative strategies for performance improvement and simulating the reality of the projects in a virtual model.

Findings

The achieved simulation results show how different hiring policies affect project performance. This research model can aid decision makers to assess labor hiring policies in various time intervals with different compositions and assist them in selecting the best policies for effective implementation of project.

Originality/value

The proposed model would be a major attempt using SD to model labor hiring policies more accurate in construction projects performance. In fact, an accurate estimate of labor needed, along with the proper planning and implementing of various labor hiring policies, presents a managerial opportunity whereby the effective allocation of workforces can be optimized leading to drastic improvement in project performance.

Citation

Abbaspour, S. and Dabirian, S. (2020), "Evaluation of labor hiring policies in construction projects performance using system dynamics", International Journal of Productivity and Performance Management, Vol. 69 No. 1, pp. 22-43. https://doi.org/10.1108/IJPPM-03-2019-0134