IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v13y1983i6p4-23.html
   My bibliography  Save this article

Improving the Distribution of Industrial Gases with an On-Line Computerized Routing and Scheduling Optimizer

Author

Listed:
  • Walter J. Bell

    (Air Products and Chemicals, Incorporated, Box 538, Allen town, Pennsylvania 18705)

  • Louis M. Dalberto

    (Air Products and Chemicals, Incorporated, Box 538, Allen town, Pennsylvania 18705)

  • Marshall L. Fisher

    (Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Arnold J. Greenfield

    (Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • R. Jaikumar

    (Graduate School of Business, Harvard University, Cambridge, Massachusetts 02138)

  • Pradeep Kedia

    (Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Robert G. Mack

    (Air Products and Chemicals, Incorporated, Box 538, Allen town, Pennsylvania 18705)

  • Paul J. Prutzman

    (Air Products and Chemicals, Incorporated, Box 538, Allen town, Pennsylvania 18705)

Abstract

For Air Products and Chemicals, Inc., inventory management of industrial gases at customer locations is integrated with vehicle scheduling and dispatching. Their advanced decision support system includes on-line data entry functions, customer usage forecasting, a time/distance network with a shortest path algorithm to compute intercustomer travel times and distances, a mathematical optimization module to produce daily delivery schedules, and an interactive schedule change interface. The optimization module uses a sophisticated Lagrangian relaxation algorithm to solve mixed integer programs with up to 800,000 variables and 200,000 constraints to near optimality. The system, first implemented in October, 1981, has been saving between 6% to 10% of operating costs.

Suggested Citation

  • Walter J. Bell & Louis M. Dalberto & Marshall L. Fisher & Arnold J. Greenfield & R. Jaikumar & Pradeep Kedia & Robert G. Mack & Paul J. Prutzman, 1983. "Improving the Distribution of Industrial Gases with an On-Line Computerized Routing and Scheduling Optimizer," Interfaces, INFORMS, vol. 13(6), pages 4-23, December.
  • Handle: RePEc:inm:orinte:v:13:y:1983:i:6:p:4-23
    DOI: 10.1287/inte.13.6.4
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.13.6.4
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.13.6.4?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:orinte:v:13:y:1983:i:6:p:4-23. 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.