• DocumentCode
    3053376
  • Title

    A Human-Asset-Compromised Allocation Model of Multiple Emergency Projects in Service-Focused Enterprises

  • Author

    Wang, Yan ; Zhang, Liang-Jie ; Wang, Wei

  • Author_Institution
    Kingdee Res., Kingdee Int. Software Group Co. Ltd., Shenzhen, China
  • fYear
    2012
  • fDate
    24-29 June 2012
  • Firstpage
    360
  • Lastpage
    367
  • Abstract
    Chinese enterprises have been conducting low-end processing for foreign brands. In recent years, they want to get rid of this high-pay low-income pattern and develop towards the high-end of the value chain. Most of them are transforming to service-focused enterprises that aim to provide customers with customized service. In service-focused enterprises, the human asset - like industry experts, technology experts, product experts and so on - is very important. Sometimes, the services provided by experts can directly affect the satisfaction of customers. Service-focused enterprises always have to face this challenge: multiple projects occur in emergency situations at the same time and need to dispatch multiple suitable experts from multiple places in order to respond. Under the constraint of human asset requirements on time and cost, this paper establishes an uncompromised resource allocation model for human asset emergency response. According to the characteristics of human asset emergency issues, the mathematical model can be presented to help solve the largescale emergency difficulties among multiple projects, multiple experts´ types and multiple experts´ locations. Finally, a case study is carried on to prove the algorithm´s effectiveness.
  • Keywords
    customer satisfaction; decision support systems; resource allocation; supply chain management; Chinese enterprises; customized service; foreign brands; high-pay low-income pattern; human asset emergency issues; human asset emergency response; human asset requirements; human-asset-compromised allocation model; industry experts; low-end processing; mathematical model; multiple emergency projects; product experts; resource allocation model; service-focused enterprises; technology experts; value chain; Equations; Humans; Linear programming; Mathematical model; Programming; Resource management; Vectors; allocation model; compromised resources allocation; decision support; human asset;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2012 IEEE Ninth International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-1-4673-3049-7
  • Type

    conf

  • DOI
    10.1109/SCC.2012.89
  • Filename
    6274165