Using Workers Compatibility to Predict Labor Productivity through Cluster Analysis

Florez Perez, Laura and Cortissoz, Jean C. (2017) Using Workers Compatibility to Predict Labor Productivity through Cluster Analysis. Procedia Engineering, 196. pp. 359-365. ISSN 1877-7058

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Official URL: http://dx.doi.org/10.1016/j.proeng.2017.07.211

Abstract

Masonry contractors seek to increase labor productivity by collecting detailed information on the workers productivity and the factors that influence productivity. Quantitative factors such as hours, activities, and tasks are often measured on site and are used to estimate productivity and determine times of construction. However, there may be qualitative factors such as personality that may also need to be measured on site because it can have a profound impact on the productivity of a crew. This paper proposes a mathematical framework that uses the personal compatibility between the workers in a crew to better estimate productivity. An instrument to measure and quantify personality is proposed to determine the compatibility of the workers in a crew. Cluster analysis principles are applied to group crews that share similar compatibility and productivity scores and use this information to empirically define a probability density function that will determine, for a given cluster, its average productivity. To illustrate how the function is used to predict the productivity of a crew, this paper presents an example applied in masonry construction in which times of construction and productivity are determined using the personal compatibility between the workers in the crew.

Item Type: Article
Uncontrolled Keywords: Masonry construction; cluster analysis; probability density; productivity
Subjects: K200 Building
N600 Human Resource Management
Department: Faculties > Engineering and Environment > Architecture and Built Environment
Depositing User: Paul Burns
Date Deposited: 03 Dec 2018 18:12
Last Modified: 11 Dec 2018 08:31
URI: http://nrl.northumbria.ac.uk/id/eprint/37062

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