Data flow analysis of plant and equipment health and safety management

被引:4
|
作者
Riaz, Zainab [1 ]
Edwards, David J. [2 ]
Holt, Gary D. [2 ]
Thorpe, Tony [3 ]
机构
[1] Natl Univ Sci & Technol, Islamabad, Pakistan
[2] Birmingham City Univ, Ctr Business Innovat & Enterprise, Birmingham, W Midlands, England
[3] Loughborough Univ Technol, Dept Civil & Bldg Engn, Construct Informat Technol, Loughborough, Leics, England
关键词
Plant; Equipment; Health and safety; Information; Communication; Technology;
D O I
10.1108/17260531111151069
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose - Construction plant and equipment accident statistics suggest constant re-evaluation of health and safety (H&S) systems is beneficial. This paper aims to process analyse plant and equipment H&S management systems on UK construction sites, with a view to applying information and communication technology (ICT) to them as an improvement mechanism. Design/methodology/approach - Five construction project case studies drawn from members of the former Major Contractors Group yield rich H&S process data. These are analysed using data flow diagram (DFD) techniques, to evaluate processes and proffer system improvements incorporating ICT. Findings - Causes of unsafe practice regarding management of construction plant and equipment are found to include: aspects of the plant itself, management processes and operator competence. Anew ICT "process paradigm" is suggested, the architecture of which incorporates mobile computing, automatic identification and data collection and a management information system. Research limitations/implications - Findings contribute particularly to the fields of plant and equipment; and managing H&S. Practical implications - Suggested ICT direction might form the basis of commercial interest in developing an all-embracing H&S control mechanism for plant and equipment operations. Originality/value - Application of DFD analysis in this setting is quite new.
引用
收藏
页码:178 / 203
页数:26
相关论文
共 50 条
  • [1] Equipment health management program improves plant reliability
    Giacone, G
    Hall, R
    HYDROCARBON PROCESSING, 1997, 76 (10): : 61 - 62
  • [2] Editorial: Nuclear Power Plant Equipment Prognostics and Health Management Based on Data-Driven Methods
    Wang, Jun
    Zhong, Xianping
    Zhao, Xingang
    Yurko, Joseph P.
    Revankar, Shripad T.
    FRONTIERS IN ENERGY RESEARCH, 2021, 9
  • [3] The Research of Equipment Maintenance Management in Power Plant Based on Data Mining
    Wei, Yang-hao
    Xue, Da-shen
    2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION TECHNOLOGY CICT 2015, 2015, : 543 - 547
  • [4] Plant safety and risk with temporary equipment
    Cadwallader, L. C.
    PROCESS SAFETY PROGRESS, 2006, 25 (04) : 339 - 344
  • [5] Management system and occupational health and safety-planning process for new equipment
    Korten, V
    QUALITY OF WORK AND PRODUCTS IN ENTERPRISES OF THE FUTURE, 2003, : 820 - 822
  • [6] Safety Analysis of the Flow of Cartographic Data with Defects
    Belyakov, Stanislav
    Bozhenyuk, Alexander
    Savelyeva, Marina
    Belyakova, Marina
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON SECURITY OF INFORMATION AND NETWORKS (SIN'19), 2019,
  • [7] Analysis of Medical Equipment Management in Relation to the Mandatory Medical Equipment Safety Manager (MESM) in Japan
    Ishida, Kai
    Hirose, Minoru
    Fujiwara, Kousaku
    Tsuruta, Harukazu
    Ikeda, Noriaki
    JOURNAL OF HEALTHCARE ENGINEERING, 2014, 5 (03) : 329 - 346
  • [8] PREDICTING FLOW PATTERNS IN PLANT EQUIPMENT
    HOOPER, WB
    CHEMICAL ENGINEERING, 1975, 82 (16) : 103 - 106
  • [9] ORGANIZATION AND STANDARD SAFETY EQUIPMENT IN AN LNG PLANT
    BENDANI, A
    NINTH INTERNATIONAL CONFERENCE ON LIQUEFIED NATURAL GAS, VOLS 1 AND 2, 1989, : 371 - 384
  • [10] Management of Specialized Erection Equipment: Safety
    Homsi, Elie H.
    STRUCTURAL ENGINEERING INTERNATIONAL, 2012, 22 (01) : 148 - 153