Equipment failures and their contribution to industrial incidents and accidents in the manufacturing industry

被引:26
作者
Bourassa, Dominic [1 ]
Gauthier, Francois [1 ]
Abdul-Nour, Georges [1 ]
机构
[1] Univ Quebec Trois Rivieres, Trois Rivieres, PQ, Canada
关键词
accidents; safety; reliability; maintenance policy; availability; pulp and paper company; safety and failure database; manufacturing; OPERATIONS;
D O I
10.1080/10803548.2015.1116814
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Accidental events in manufacturing industries can be caused by many factors, including work methods, lack of training, equipment design, maintenance and reliability. This study is aimed at determining the contribution of failures of commonly used industrial equipment, such as machines, tools and material handling equipment, to the chain of causality of industrial accidents and incidents. Based on a case study which aimed at the analysis of an existing pulp and paper company's accident database, this paper examines the number, type and gravity of the failures involved in these events and their causes. Results from this study show that equipment failures had a major effect on the number and severity of accidents accounted for in the database: 272 out of 773 accidental events were related to equipment failure, where 13 of them had direct human consequences. Failures that contributed directly or indirectly to these events are analyzed.
引用
收藏
页码:131 / 141
页数:11
相关论文
共 30 条
  • [21] Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises
    Schumacher, Andreas
    Nemeth, Tanja
    Sihn, Wilfried
    12TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING, 2019, 79 : 409 - 414
  • [22] Research Reports on the 12th Five-Year Plan for Electric Power Industry Equipment Manufacturing
    China Electricity Council Li Yuan
    Electricity, 2011, 22 (04) : 12 - 16
  • [23] Research on Upgrading the Equipment Manufacturing Industry's Security Countermeasure from the Perspective of Top-level Design
    Zhang, Yingxin
    2017 4TH INTERNATIONAL CONFERENCE ON EDUCATION REFORM AND MANAGEMENT INNOVATION (ERMI 2017), 2017, 96 : 310 - 315
  • [24] Exploring and Developing an Industrial Automation Acceptance Model in the Manufacturing Sector Towards Adoption of Industry4.0
    Abu Bakar, Muhammad Ramzul
    Razali, Noor Afiza Mat
    Wook, Muslihah
    Ismail, Mohd Nazri
    Sem-Bok, Tengku Mohd Tengku
    MANUFACTURING TECHNOLOGY, 2021, 21 (04): : 434 - 446
  • [25] Effect of industrial robot use on China’s labor market: Evidence from manufacturing industry segmentation
    Gao X.
    Luo C.
    Shou J.
    Intelligent and Converged Networks, 2023, 4 (02): : 106 - 115
  • [26] Empirical Assessment of Cyber-physical Systems Influence on Industrial Service Sector: The Manufacturing Industry as a Case Study
    Oluwafemi, Ifetayo
    Laseinde, Timothy
    HUMAN SYSTEMS ENGINEERING AND DESIGN II, 2020, 1026 : 1058 - 1065
  • [27] Revitalizing small town manufacturing industry: With industrial engineering and ideas from Germany's Puppen and Baren industries
    Manley, JH
    6TH INDUSTRIAL ENGINEERING RESEARCH CONFERENCE PROCEEDINGS: (IERC), 1997, : 978 - 983
  • [28] Does energy efficiency development in manufacturing industry decouple industrial growth from CO2 emissions in Indonesia?
    Rosita T.
    Zaekhan
    Estuningsih R.D.
    Widharosa N.
    International Journal of Environmental Studies, 2021, 78 (04) : 573 - 587
  • [29] Increasing Sigma levels in productivity improvement and industrial sustainability with Six Sigma methods in manufacturing industry: A systematic literature review
    Purba, H. H.
    Nindiani, A.
    Trimarjoko, A.
    Jaqin, C.
    Hasibuan, S.
    Tampubolon, S.
    ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT, 2021, 16 (03): : 307 - 325
  • [30] Catch-Up in Complex Products and Systems: A Fuzzy-Set Qualitative Comparative Analysis of China's Equipment Manufacturing Industry
    Huang, Han
    Xiong, Jie
    Xu, Lu
    Yuan, Zhe
    Liu, Chun
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 : 15375 - 15389