5S impact on safety climate of manufacturing workers

Siddarth Srinivasan, Laura Hughes Ikuma, Mahmoud Shakouri, Isabelina Nahmens, Craig Harvey

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

Purpose 5S is a commonly used Lean tool that focusses on creating an organized work environment, but the effects of 5S on safety climate are not as well studied. The purpose of this paper is to determine the impact of a 5S event on safety climate. Design/methodology/approach This pre-test post-test study examines the effect of implementing 5S on safety climate of the packaging area of a manufacturing plant. Two groups of employees (case and control groups) completed a safety climate questionnaire (Safety Climate Assessment Toolkit) prior to the 5S event, one month after, and two months after. Findings Total safety climate significantly improved for the case group but remained unchanged for the control group over the study period. Specifically, management commitment and involvement dimensions of safety climate improved for the case group. Practical implications These results show that two important aspects of safety climate (management commitment and involvement) can be significantly, positively influenced by successful 5S events, which may translate to improved safety overall. Originality/value Prior literature on 5S speculates a positive impact of 5S on safety and safety climate, but this assertion is not well supported with empirical evidence. This study provides quantitative measurement of positive safety climate changes that resulted from a successful 5S event. The results provide additional incentive for management to continue 5S and other Lean activities with the possibility of also improving safety.

Original languageEnglish
Pages (from-to)364-378
Number of pages15
JournalJournal of Manufacturing Technology Management
Volume27
Issue number3
DOIs
StatePublished - Apr 4 2016
Externally publishedYes

Scopus Subject Areas

  • Software
  • Control and Systems Engineering
  • Computer Science Applications
  • Strategy and Management
  • Industrial and Manufacturing Engineering

Keywords

  • Human factors
  • Lean
  • Manufacturing

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