International Journal of Quality & Reliability Management | 2021

Identification and ordering of safety performance indicators using fuzzy TOPSIS: a case study in Indian construction company

 
 
 
 

Abstract


PurposeThe purpose of this paper is to propose a practical framework to measure the safety performance of workers in the Indian construction industry. The key safety performance indicators are identified and ordered on the premise that the higher order assignment of an indicator implies a strong indication of an effective safety performance.Design/methodology/approachVarious indicators of safety performance in the construction industry were identified from extant literature review combined with author s personal viewpoint. The identified variables were inquired for appropriateness for the Indian construction scenario by consultation with experts. Fuzzy Technique for order preference by similarity to ideal solution (TOPSIS) technique was considered for the ranking of the indicators from most to least important.FindingsThe most important highlight of the study was the importance of the role of management by participating in informing workers about the safety rules and compliance toward safety measures. Proper and timely safety training to the workers and equipping them with sophisticated safety equipment for daily activities is perceived to be highly important in ensuring a safe and healthy workplace environment. Controlling the absenteeism rate reduces the burden of extra work on the employees, thereby, encouraging safe work-related behavior.Originality/valueSenior management should make safety induction programs compulsory at the time of joining of the employees. The guidelines for safety practices, rules and information about the safety equipment should be properly documented and arranged in safety manuals. Periodical drills involving visual demonstration of the safety practices should be followed to ensure safety at workplace.

Volume None
Pages None
DOI 10.1108/IJQRM-02-2020-0051
Language English
Journal International Journal of Quality & Reliability Management

Full Text