IDEAS home Printed from https://ideas.repec.org/a/inm/orserv/v1y2009i1p63-76.html
   My bibliography  Save this article

iFAO: Facility Network Transformation Services for Specific Customer Oriented Service Industries

Author

Listed:
  • Jin Dong

    (IBM China Research Lab, Beijing, China, 100193)

  • Xinxin Bai

    (IBM China Research Lab, Beijing, China, 100193)

  • Wenjun Yin

    (IBM China Research Lab, Beijing, China, 100193)

  • Ming Xie

    (IBM China Research Lab, Beijing, China, 100193)

  • JP Fasano

    (IBM China Research Lab, Beijing, China, 100193)

  • Thomas Li

    (IBM China Research Lab, Beijing, China, 100193)

Abstract

Facility Network Transformation (FNT) is a strategic approach to assess and optimize industrial facility networks for new site selection, demand forecasting, and performance evaluation in customer oriented service industries such as banking and retail. In practice, FNT requirements are often diverse, dynamic and industry specific. It is often difficult to implement a generic FNT service fully integrated with legacy systems. The heterogeneity of spatial information further calls for a loosely coupled architecture. An innovative spatial decision support system, iFAO (Intelligent Facility Network Analytics and Optimization), for FNT problems using Service Oriented Architecture principles was developed. In this paper, key FNT service patterns are identified and modeled to provide an industry independent solution, and an SOA-based framework for iFAO is proposed. An underlying data model design is elaborated which acts as a common language for experts from different domains to communicate and help speed up the solution development. A retail case is presented to illustrate how SOA based iFAO services are integrated to address real industrial problems, especially for quick decisions on business strategy in the competitive and ever-changing marketplace. [ 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

  • Jin Dong & Xinxin Bai & Wenjun Yin & Ming Xie & JP Fasano & Thomas Li, 2009. "iFAO: Facility Network Transformation Services for Specific Customer Oriented Service Industries," Service Science, INFORMS, vol. 1(1), pages 63-76, March.
    • Handle: RePEc:inm:orserv:v:1:y:2009:i:1:p:63-76
    DOI: 10.1287/serv.1.1.63
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/serv.1.1.63
    Download Restriction: no
    File URL: https://libkey.io/10.1287/serv.1.1.63?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:1:y:2009:i:1:p:63-76. 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.