IDEAS home Printed from https://ideas.repec.org/a/inm/orserv/v2y2010i4p245-269.html
   My bibliography  Save this article

Markov Decision Processes for Optimizing Human Workflows

Author

Listed:
  • Enrique D. Espinosa

    (University of Waterloo, 295 Hagey Blvd., Suite 240, Waterloo, Ontario, Canada, N2L 6R5)

  • Juan Frausto

    (Instituto Tecnológico y de Estudios Superiores de Monterrey, Campus Cuernavaca, Autopista del Sol km. 104, Colonia Real del Puente, Xochitepec, Morelos, México, 62790)

  • Ernesto J. Rivera

    (Instituto Tecnológico y de Estudios Superiores de Monterrey, Campus Cuernavaca, Autopista del Sol km. 104, Colonia Real del Puente, Xochitepec, Morelos, México, 62790)

Abstract

Workflows are used by domain analysts as a tool to describe the synchronization of activities in a business domain. The Business Process Management Notation (BPMN) has become a standard to characterize Workflows. Nevertheless, BPMN alone does not provide tools for aligning business models and IT architectures. Currently, there is not a method which promotes making decisions based on a technique with a probabilistic basis for providing financial value to a [human] workflow. If such method could exist, it would help the domain analyst to understand what sections of the business and IT architecture could be re-engineered for adding value. Markov Decision Processes (MDP's) can be the centerpiece of such a method. MDP's are introduced as a means to pinpoint assets to be designed, managed, and continuously improved, while enhancing business agility and operational performance. [ Service Science , ISSN 2164-3962 (print), ISSN 2164-3970 (online), was published by Services Science Global (SSG) from 2009 to 2011 as issues under ISBN 978-1-4276-2090-3.]

Suggested Citation

  • Enrique D. Espinosa & Juan Frausto & Ernesto J. Rivera, 2010. "Markov Decision Processes for Optimizing Human Workflows," Service Science, INFORMS, vol. 2(4), pages 245-269, December.
    • Handle: RePEc:inm:orserv:v:2:y:2010:i:4:p:245-269
    DOI: 10.1287/serv.2.4.245
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/serv.2.4.245
    Download Restriction: no
    File URL: https://libkey.io/10.1287/serv.2.4.245?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
    ---><---

    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:orserv:v:2:y:2010:i:4:p:245-269. 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.