Predictive Control, Competitive Model Business Planning, and Innovation ERP

Cyrus F. Nourani, Codrina Lauth

    Research output: Contribution to journalConference article in journalResearchpeer-review

    67 Downloads (Pure)

    Abstract

    New optimality principles are put forth based on competitive model business planning. A Generalized MinMax local optimum dynamic programming algorithm is presented and applied to business model computing where predictive techniques can determine local optima. Based on a systems model an enterprise is not viewed as the sum of its component elements, but the product of their interactions. The paper starts with introducing a systems approach to business modeling. A competitive business modeling technique, based on the author's planning techniques is applied. Systemic decisions are based on common organizational goals, and as such business planning and resource assignments should strive to satisfy higher organizational goals. It is critical to understand how different decisions affect and influence one another. Here, a business planning example is presented where systems thinking technique, using Causal Loops, are applied to complex management decisions. Predictive modeling specifics are briefed. A preliminary optimal game modeling technique is presented in brief with applications to innovation and R&D management. Conducting gap and risk analysis can assist with this process. Example application areas to e-commerce with management simulation models are examined.
    Original languageEnglish
    JournalProcedia Computer Science
    Volume65
    Pages (from-to)891–900
    Number of pages10
    ISSN1877-0509
    DOIs
    Publication statusPublished - 2015
    EventInternational Conference on Communications, Management, and Information technology. ICCMIT 2015 - Prague, Czech Republic
    Duration: 20 Apr 201522 Apr 2015
    http://www.iccmit.net/indexold.html

    Conference

    ConferenceInternational Conference on Communications, Management, and Information technology. ICCMIT 2015
    CountryCzech Republic
    CityPrague
    Period20/04/201522/04/2015
    Internet address

    Keywords

    • Competitive models
    • Innovation management
    • ERP
    • Multiplayer games
    • Game trees computing
    • Predictive modeling
    • Planning
    • Dynamic programming

    Cite this

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    title = "Predictive Control, Competitive Model Business Planning, and Innovation ERP",
    abstract = "New optimality principles are put forth based on competitive model business planning. A Generalized MinMax local optimum dynamic programming algorithm is presented and applied to business model computing where predictive techniques can determine local optima. Based on a systems model an enterprise is not viewed as the sum of its component elements, but the product of their interactions. The paper starts with introducing a systems approach to business modeling. A competitive business modeling technique, based on the author's planning techniques is applied. Systemic decisions are based on common organizational goals, and as such business planning and resource assignments should strive to satisfy higher organizational goals. It is critical to understand how different decisions affect and influence one another. Here, a business planning example is presented where systems thinking technique, using Causal Loops, are applied to complex management decisions. Predictive modeling specifics are briefed. A preliminary optimal game modeling technique is presented in brief with applications to innovation and R&D management. Conducting gap and risk analysis can assist with this process. Example application areas to e-commerce with management simulation models are examined.",
    keywords = "Competitive models, Innovation management, ERP, Multiplayer games, Game trees computing, Predictive modeling, Planning, Dynamic programming, Competitive models, Innovation management, ERP, Multiplayer games, Game trees computing, Predictive modeling, Planning, Dynamic programming",
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    Predictive Control, Competitive Model Business Planning, and Innovation ERP. / Nourani, Cyrus F.; Lauth, Codrina.

    In: Procedia Computer Science, Vol. 65, 2015, p. 891–900.

    Research output: Contribution to journalConference article in journalResearchpeer-review

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