IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2014i3p43-52.html
   My bibliography  Save this article

An Analisys for Intelligent Planning Applications

Author

Listed:
  • Vasile MAZILESCU

    (Faculty of Economics and Business Administration, Dunarea de Jos University of Galati, Romania)

Abstract

We investigate some various planning complex applications. We can develop and justify thus a series of modeling and design techniques for intelligent management systems, as well as methods for the analysis of planning systems performance, and, of an expert system in particular, between which there are strong similarities. We will also outline a number of differences between conventional problem solving systems and Intelligent Knowledge Management Systems (IKMSs), the links between expert systems and those of structural and functional planning, the analogy between the model of the problem or business process and the field of the problem represented by a fuzzy knowledge system based on logical events. This way, the work reported in this paper serves to promote the development of some foundations on which to perform careful analysis for intelligent planning systems that operate in critical environments, like Virtual Organizations or Hierarchical Coalitions

Suggested Citation

  • Vasile MAZILESCU, 2014. "An Analisys for Intelligent Planning Applications," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 43-52.
    • Handle: RePEc:ddj:fseeai:y:2014:i:3:p:43-52
    as

    Download full text from publisher

    File URL: http://www.eia.feaa.ugal.ro/images/eia/2014_3/Mazilescu.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Berglund, M. & Karltun, J., 2007. "Human, technological and organizational aspects influencing the production scheduling process," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 160-174, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Syntetos, Aris A. & Kholidasari, Inna & Naim, Mohamed M., 2016. "The effects of integrating management judgement into OUT levels: In or out of context?," European Journal of Operational Research, Elsevier, vol. 249(3), pages 853-863.
    2. Xu, Jinying & Lu, Weisheng, 2022. "Developing a human-organization-technology fit model for information technology adoption in organizations," Technology in Society, Elsevier, vol. 70(C).
    3. Olafsson, Sigurdur & Li, Xiaonan, 2010. "Learning effective new single machine dispatching rules from optimal scheduling data," International Journal of Production Economics, Elsevier, vol. 128(1), pages 118-126, November.
    4. Minna Saunila & Juhani Ukko & Tero Rantala & Mina Nasiri & Hannu Rantanen, 2020. "Preceding operational capabilities as antecedents for productivity and innovation performance," Journal of Business Economics, Springer, vol. 90(4), pages 537-561, May.
    5. Marko J Djapan & Danijela P Tadic & Ivan D Macuzic & Predrag Dj Dragojovic, 2015. "A new fuzzy model for determining risk level on the workplaces in manufacturing small and medium enterprises," Journal of Risk and Reliability, , vol. 229(5), pages 456-468, October.
    6. Vasile MAZILESCU, 2015. "A Formal Definition for Expert Systems used in Real-time Applications," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 27-34.
    7. Jonsson, Patrik & Kjellsdotter Ivert, Linea, 2015. "Improving performance with sophisticated master production scheduling," International Journal of Production Economics, Elsevier, vol. 168(C), pages 118-130.

    More about this item

    Keywords

    Planning; IKMSs; Logical Events;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ddj:fseeai:y:2014:i:3:p:43-52. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.