• DocumentCode
    1368410
  • Title

    Disaster recovery planning in an automated manufacturing environment

  • Author

    Iyer, Raja K. ; Sarkis, Joseph

  • Author_Institution
    Dept. of Inf. Syst. & Mange. Sci., Texas Univ., Arlington, TX, USA
  • Volume
    45
  • Issue
    2
  • fYear
    1998
  • fDate
    5/1/1998 12:00:00 AM
  • Firstpage
    163
  • Lastpage
    175
  • Abstract
    Disasters may strike at any moment in any location. When they do, no distinction is made about the type of firm that is being affected, whether it is a bank or a manufacturing plant. Most firms do not plan for possible disasters, and those that do have typically focused on computer and data contingency planning. In this paper, the focus is shifted to incorporate disaster recovery planning for manufacturing enterprises, especially those that are automated. Automated manufacturing enterprises have characteristics that put them at an increased risk to disasters. The methodological framework proposed in this paper will aid manufacturing organizations and their managers in reducing the risks associated with unanticipated disasters. The framework is termed the “Manufacturing Operations Recovery and Resumption” model. Recommended activities and tools for effective management of this methodology are identified
  • Keywords
    disasters; manufacturing industries; planning; risk management; Manufacturing Operations Recovery and Resumption model; automated manufacturing enterprises; automated manufacturing environment; business impact; disaster recovery planning; emergency response; management; manufacturing down time; proactive emergency preparedness; risks reduction; unanticipated disasters; Companies; Computer aided manufacturing; Computer integrated manufacturing; Disaster management; Flexible manufacturing systems; Food manufacturing; Hurricanes; Manufacturing automation; Pulp manufacturing; Risk management;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/17.669763
  • Filename
    669763