Application of CRM Techniques for predicting the consequences of Laborers Sleep Deprivation in Construction Projects

Abstract

The purpose of this study is to develop a prediction model using a CRM (Customer Relationship Management) analysis approach that identifies the potential impact of sleep deprivation on construction laborers. Based on the data collected from India’s most populous city, Bengaluru Karnataka, employing nearly 800,000 to one million laborers in the construction industry, a dataset was created to establish the relationship of sleep deprivation on laborers. Upon establishing the datasets, CRM methodology using mathematical expressions and designs in the Solutions Box of Microsoft. CRM helped derive significant variables leading to the result, a statistical analysis method to indicate daily sleep cycle disturbances and the working hours are the most influential factors, followed by age, gender, service length, quality of work and nature of work. The results obtained should contribute to creating awareness among construction laborers and contractors about the consequences of sleep deprivation on laborers' health and work productivity. Thus, incorporating safety measures improves the health of the laborers and indirectly contributes to growth of the construction industry and the country’s economy.