An occupational health and safety management system framework for lean process industries: an interpretive structural modelling approach

被引:2
|
作者
Kale, Samir Ramdas [1 ]
Kota, Srinivas [2 ]
Jasti, Naga Vamsi Krishna [2 ]
Soni, Gunjan [3 ]
Prakash, Surya [4 ]
机构
[1] Birla Inst Technol & Sci Pilani, Dept Chem Engn, Pilani, Rajasthan, India
[2] Birla Inst Technol & Sci Pilani, Dept Mech Engn, Pilani, Rajasthan, India
[3] MNIT, Dept Mech Engn, Jaipur, Rajasthan, India
[4] IIHMR Univ, Dept Management, Jaipur, Rajasthan, India
关键词
Occupational health and safety management system; Interpretive structural modelling; Structural equation modelling; Process industry lean manufacturing environment; OPERATIONAL PERFORMANCE; SUPPLY CHAIN; IMPLEMENTATION; ISM; RISKS; WORK;
D O I
10.1108/IJLSS-11-2020-0185
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose The manufacturing sector has been observing various benefits by the implementation of lean manufacturing practices. However, the manufacturing sector has neglected the significance of health and safety management system implementation. The purpose of this research is to propose and validate an occupational health and safety management systems (OHSMS) framework based on critical success factors and their relationships in the lean manufacturing organizations. Design/methodology/approach A critical literature review was conducted to identify the success factors of OHSMS. Subsequently, a questionnaire survey and semi-structured interviews were conducted with experts from process industries to consolidate the critical success factors. After consolidating the critical success factors, relationships among critical success factors were established with the help of interpretive structural modelling using a team of 12 experts from industry and academia. These established relationships helped in proposing the hierarchical implementation framework. Finally, the validation of the proposed implementation framework was carried out using structural equation modelling (SEM). Findings This study has identified nine broader critical success factors for implementation of OHSMS in lean manufacturing organizations, especially the process industry. Subsequently, this study has proposed an OHSMS framework with nine broader critical success factors to implement in lean manufacturing organizations. Finally, the proposed framework has been validated using SEM with an appropriate sample size. Practical implications This study is helpful to the organizations to implement OHSMS without losing the essence of lean manufacturing strategy. This study has proposed a framework for implementation of OHSMS in the lean manufacturing organizations, especially process industry sector. This study also provided confidence to the organization through the validation of proposed framework in the process industry. Originality/value To the best of the authors' knowledge, this study is first of its kind in this field of OHSMS in lean manufacturing organizations, especially the process industry. This study has involved both academicians and industry experts to bring more robust outcomes. This study proposed a unique framework to implement OHSMS in lean manufacturing organizations. This study has considered a comprehensive literature to develop a framework for OHSMS in lean manufacturing organizations. An implementation framework was proposed by considering both the academicians' and industry professionals' opinions. The proposed framework was statistically validated. This will be helpful in effective implementation of OHSMS strategy in lean manufacturing organizations, especially process industry sector.
引用
收藏
页码:1367 / 1394
页数:28
相关论文
共 50 条
  • [1] Development of Framework for Lean Implementation: An Interpretive Structural Modeling and Interpretive Ranking Process Approach
    Mundra, Nidhi
    Mishra, Rajesh P.
    Upreti, Girish
    [J]. SAE INTERNATIONAL JOURNAL OF MATERIALS AND MANUFACTURING, 2021, 14 (02) : 223 - 242
  • [2] Occupational Health and Safety Management in Manufacturing Industries
    Zubar, H. Abdul
    Visagavel, K.
    Raja, V. Deepak
    Mohan, Arun
    [J]. JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 2014, 73 (06): : 381 - 386
  • [3] DEVELOPMENT OF AN OCCUPATIONAL SAFETY MANAGEMENT SYSTEM BASED ON THE PROCESS APPROACH
    Filimonov, Vladimir A.
    Gorina, Larisa N.
    [J]. JOURNAL OF MINING INSTITUTE, 2019, 235 : 113 - 122
  • [4] Interdependency analysis of lean manufacturing practices in case of Bulgarian SMEs: interpretive structural modelling and interpretive ranking modelling approach
    Prasad, Sarita
    Baltov, Milen
    Rao A., Neelakanteswara
    Lanka, Krishnanand
    [J]. INTERNATIONAL JOURNAL OF LEAN SIX SIGMA, 2021, 12 (03) : 503 - 535
  • [5] A framework for child safety and health management by analogy to occupational safety and health management
    Bas, Esra
    [J]. SAFETY SCIENCE, 2014, 64 : 1 - 12
  • [6] Critical success factors of lean manufacturing for Indian ceramic industries: Modelling through interpretive ranking process
    Bhadu, Jagdish
    Bhamu, Jaiprakash
    Singh, Dharmendra
    [J]. INDIAN JOURNAL OF ENGINEERING AND MATERIALS SCIENCES, 2021, 28 (03) : 271 - 281
  • [7] Development of a Conceptual Framework for Occupational Safety and Health in Palestinian Manufacturing Industries
    Tuhul, Hanan S.
    El-Hamouz, Amer
    Hasan, A. Rasem
    Jafar, Hanan A.
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (03) : 1 - 28
  • [8] Occupational Health and Safety Management System
    Bedoya, Elías
    [J]. Informacion Tecnologica, 2019, 30 (04):
  • [9] Modelling of Agile Manufacturing Barriers in the Indian Engineering Industries: An Interpretive Structural Modeling Approach
    Sharma, Bhupendra Prakash
    Jain, Akshat
    Ahuja, Harshit
    [J]. 2017 INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL, INDUSTRIAL, AUTOMATION AND MANAGEMENT SYSTEMS (AMIAMS) - PROCEEDINGS, 2017, : 1 - 7
  • [10] Application of interpretive structural modelling for analysing the factors influencing integrated lean sustainable system
    Vinodh, S.
    Ramesh, K.
    Arun, C. S.
    [J]. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2016, 18 (02) : 413 - 428