IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v4y1993i4p331-358.html
   My bibliography  Save this article

MODFORM: A Knowledge-Based Tool to Support the Modeling Process

Author

Listed:
  • Srinivasan Raghunathan

    (Department of Accounting and MIS, Bowling Green State University, Bowling Green, Ohio 43403)

  • Ramayya Krishnan

    (Heinz School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Jerrold H. May

    (Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania 15260)

Abstract

The value of mathematical modeling and analysis in the decision support context is well recognized. However, the complex and evolutionary nature of the modeling process has limited its widespread use. In this paper, we describe our work on knowledge-based tools which support the formulation and revision of mathematical programming models. In contrast to previous work on this topic, we base our work on an indepth empirical investigation of experienced modelers and present three results: (a) a model of the modeling process of experienced modelers derived using concurrent verbal protocol analysis. Our analysis indicates that modeling is a synthetic process that relates specific features found in the problem to its mathematical model. These relationships, which are seldom articulated by modelers, are also used to revise models. (b) an implementation of a modeling support system called MODFORM based on this observationally derived model, and (c) the results of a preliminary experiment which indicates that users of MODFORM build models comparable to those formulated by experts. We use the formulation of mathematical programming models of production planning problems illustratively throughout the paper.

Suggested Citation

  • Srinivasan Raghunathan & Ramayya Krishnan & Jerrold H. May, 1993. "MODFORM: A Knowledge-Based Tool to Support the Modeling Process," Information Systems Research, INFORMS, vol. 4(4), pages 331-358, December.
    • Handle: RePEc:inm:orisre:v:4:y:1993:i:4:p:331-358
    DOI: 10.1287/isre.4.4.331
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.4.4.331
    Download Restriction: no
    File URL: https://libkey.io/10.1287/isre.4.4.331?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yaniv Mordecai, 2019. "Model‐based protocol specification," Systems Engineering, John Wiley & Sons, vol. 22(2), pages 188-210, March.
    2. Konstantinos Ergazakis & Konstantinos Karnezis & Konstantinos Metaxiotis & Ioannis Psarras, 2005. "Knowledge management in enterprises: a research agenda," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 13(1), pages 17-26, March.
    3. Maturana, Sergio & Ferrer, Juan-Carlos & Baranao, Francisco, 2004. "Design and implementation of an optimization-based decision support system generator," European Journal of Operational Research, Elsevier, vol. 154(1), pages 170-183, April.

    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:inm:orisre:v:4:y:1993:i:4:p:331-358. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.