Operational statistics and IT solutions : adding to enterprise resource planning (ERP) systems

Liwan Liyanage, J. George Shanthikumar, Cicil Fonseka, Basil M. De Silva, Nitis Mukhopadhyay

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    ![CDATA[ERP Systems are developed to assist information management and analysis to organisations for gaining business advantage. Although ERP systems claim to produce competitive advantage for companies investing on ERP, it is still questionable (See [9]: Powell, 1997). This is also valid for IT in general. In this paper we introduce a process using Operational Statistics by which such competitive advantage will evolve and to show how managers and users can manage the IT resource to become a source of competitive advantage. The aim of this paper is to give an integrated approach to improve management systems that leads to competitive advantage by combining techniques of the three disciplines operations research, statistics and computing/IT together. This has been achieved by addressing the need to integrate these disciplines in a greater level than it is done in the past. Further this paper introduces a novel approach in integrating operations research and statistics techniques namely Operational Statistics.]]
    Original languageEnglish
    Title of host publicationVisions of Futuristic Methodologies: Proceedings of the International Srilankan Statistical Conference, held in Kandy, Sri Lanka, 28-30 December, 2004
    PublisherPostgraduate Institute of Science University of Peradeniya / RMIT University Melbourne
    Number of pages9
    ISBN (Electronic)0864593392
    ISBN (Print)0864593406
    Publication statusPublished - 2004
    EventInternational Sri lankan Statistical Conference: Visions of Futuristic Methodologies -
    Duration: 1 Jan 2004 → …

    Conference

    ConferenceInternational Sri lankan Statistical Conference: Visions of Futuristic Methodologies
    Period1/01/04 → …

    Keywords

    • decision support systems
    • parameter estimation
    • operational statistics
    • computer simulation
    • enterprise resource planning

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