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Antunes, R, González, V A, Walsh, K, Rojas, O, O’Sullivan, M and Odeh, I (2018) Benchmarking Project-Driven Production in Construction Using Productivity Function: Capacity and Cycle Time. Journal of Construction Engineering and Management, 144(03).

  • Type: Journal Article
  • Keywords: Productivity function; Lean construction; Production management; Cost and schedule;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001438
  • Abstract:
    Despite being inaccurate, linear models are often used by construction managers to describe production, which limits the development and application of a production theory. The objective of this study is to formulate and test new equations comprehending the non-steady-state conditions of repetitive project-driven processes in construction to calculate cycle time and capacity based on productivity function models. The algebraic calculations were developed from Little’s Law to estimate cycle times and capacity and then tested on productivity function models of 11 construction processes (two cases arranged in a supply chain). It has been reaffirmed that the transient time negatively impacts process productivity. The transient time and theoretical average cycle time showed a proportional relationship to the average cycle times of the samples, resulting in a benchmarking ranking close to the one measured. This study contributes to the body of knowledge by introducing equations for capacity and cycle time based on a process productivity function model that can be used on processes in any state. It can be an alternative to three-point estimation, for instance.

Atherinis, D, Bakowski, B, Velcek, M and Moon, S (2018) Developing and Laboratory Testing a Smart System for Automated Falsework Inspection in Construction. Journal of Construction Engineering and Management, 144(03).

Castillo, T, Alarcón, L F and Salvatierra, J L (2018) Effects of Last Planner System Practices on Social Networks and the Performance of Construction Projects. Journal of Construction Engineering and Management, 144(03).

Chiang, Y, Wong, F K and Liang, S (2018) Fatal Construction Accidents in Hong Kong. Journal of Construction Engineering and Management, 144(03).

Darwish, M, Elsayed, A Y and Nassar, K (2018) Design and Constructability of a Novel Funicular Arched Steel Truss Falsework. Journal of Construction Engineering and Management, 144(03).

Huo, T, Ren, H, Cai, W, Shen, G Q, Liu, B, Zhu, M and Wu, H (2018) Measurement and Dependence Analysis of Cost Overruns in Megatransport Infrastructure Projects: Case Study in Hong Kong. Journal of Construction Engineering and Management, 144(03).

Jang, W, Yu, G, Jung, W, Kim, D and Han, S H (2018) Financial Conflict Resolution for Public-Private Partnership Projects Using a Three-Phase Game Framework. Journal of Construction Engineering and Management, 144(03).

Liao, P, Shi, H, Su, Y and Luo, X (2018) Development of Data-Driven Influence Model to Relate the Workplace Environment to Human Error. Journal of Construction Engineering and Management, 144(03).

Shrestha, P and Behzadan, A H (2018) Chaos Theory–Inspired Evolutionary Method to Refine Imperfect Sensor Data for Data-Driven Construction Simulation. Journal of Construction Engineering and Management, 144(03).

Tatum, C B ( (2018) Construction Engineering Research: Integration and Innovation. Journal of Construction Engineering and Management, 144(03).

Tatum, C B ( (2018) Learning Construction Engineering: Why, What, and How?. Journal of Construction Engineering and Management, 144(03).