• DocumentCode
    2016602
  • Title

    Knowledge management among Spare Parts Supply Chain Partners

  • Author

    MoosaviRad, S.H.

  • Author_Institution
    Dept. of Ind. Eng., Shahid Bahonar Univ. of Kerman, Kerman, Iran
  • fYear
    2013
  • fDate
    25-28 Feb. 2013
  • Firstpage
    1488
  • Lastpage
    1493
  • Abstract
    One of the main problems in Spare Parts Supply Chain Management (SPSCM) is inadequacy of the current approaches to forecast the demand patterns [1]. According to Bangemann et al. [2], SPSCM is one of the e-maintenance functions. On the other hand, some studies illustrated that many Knowledge Management Systems (KMS) in maintenance management (MM) and e-maintenance have not been successful [3-5]. Based on resource-based view, knowledge-based view and the theory of dynamic capabilities, the purpose of this paper is to present an initial conceptual framework among the Knowledge Management (KM) capabilities for spare parts, the quality of maintenance knowledge and the bullwhip effect in SPSCM from both inter and intra organizational perspectives. The contributions of this research in KM, e-maintenance and supply chain management (SCM) literature will be useful for scholars, SCM & maintenance managers and KM, MM and SCM corporations.
  • Keywords
    knowledge management; maintenance engineering; organisational aspects; production engineering computing; supply chain management; KM capabilities; KMS; MM; SCM; SPSCM; bullwhip effect; demand pattern forecasting; dynamic capability theory; e-maintenance functions; interorganizational perspectives; intraorganizational perspectives; knowledge management capabilities; knowledge management systems; knowledge-based view; maintenance knowledge quality; maintenance management; resource-based view; spare parts supply chain partners; supply chain management; Context; Forecasting; Inventory control; Knowledge based systems; Knowledge management; Maintenance engineering; Supply chains; bullwhip effect; emaintenance; knowledge management; spare parts; supply chain management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2013 IEEE International Conference on
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4673-4567-5
  • Electronic_ISBN
    978-1-4673-4568-2
  • Type

    conf

  • DOI
    10.1109/ICIT.2013.6505892
  • Filename
    6505892