https://doi.org/10.24928/2018/0264

Reducing Human Failure in Construction With the ‘Training Within-Industry’ Method

Lesiba George Mollo1, Fidelis Emuze2 & John Smallwood3

1Lecturer, Department of Built Environment, Central University of Technology, Free State, Private Bag X20539, Bloemfontein, 9301, South Africa, Tel: (051) 507 3523, Email: lmollo@cut.ac.za
2Associate Professor and Head, Department of Built Environment, Central University of Technology, Free State, Private Bag X20539, Bloemfontein, 9301, South Africa, Tel: (051) 507 3089, Email: femuze@cut.ac.za
3Professor, Department of Construction Management, Nelson Mandela University, Po Box 77000, Port Elizabeth, 6031, South Africa, Tel: (041) 504 2790 / 551. Email: John.Smallwood@mandela.ac.za.

Abstract

The purpose of this paper is to explain how a lean production tool, the ‘Training-withinIndustry’ (TWI) would help to identify and eliminate safety related waste in construction. TWI is commonly used to transfer knowledge and skills needed to improve work methods. The tool also helps to maintain a good working relationship between the employers and employees. This paper presents a multiple case study conducted to understand the application of TWI in a worksite better. The research shows that inadequate training of workers contributes to variability and waste manifestation that precede accidents in construction. The study also contends that there is a significant scope TWI deployment in construction due to the inability of supervisors and working to ‘see’ safety waste unfolding on their worksites. For example, the guidelines herein outlined could reduce human failures (safety errors and violations) with the use of the lean construction tool.

Keywords

Construction industry, Human Failures, Knowledge, Skills, Training-within-Industry

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Reference

Mollo, L.G. , Emuze, F. & Smallwood, J. 2018, 'Reducing Human Failure in Construction With the ‘Training Within-Industry’ Method' In:, 26th Annual Conference of the International Group for Lean Construction. Chennai, India, 18-20 Jul 2018. pp 923-932

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