This paper develops a primal simplex procedure to solve transshipment problems with an arbitrary additional constraint. The procedure incorporates efficient methods for pricing-out the basis, determining representations, and implementing the change of basis. These methods exploit the near triangularity of the basis in order to take full advantage of the computational schemes and list structures used in solving the pure transshipment problem. Also reported is the development of a computer code, I/O PNETS-I for solving large scale singularly constrained transshipment problems. This code has demonstrated its efficiency over a wide range of problems and has succeeded in solving a singularly constrained transshipment problem with 3000 nodes and 12,000 variables in less than 5 minutes on a CDC 6600. Additionally, a fast method for determining near optimal integer solutions is also developed. Computational results show that the near optimum integer solution value is usually within a half of one percent of the value of the optimum continuous solution value.

  • Corporate Authors:

    University of Texas, Austin

    Center for Cybernetic Studies
    Austin, TX  United States  78712

    Naval Personnel Research & Development Laboratory

    Washington, DC  United States 

    Office of Naval Research

    Department of the Navy, 800 North Quincy Street
    Arlington, VA  United States  22217

    University of Colorado, Boulder

    130 Academy Building, 970 Aurora Avenue
    Boulder, CO  United States  80309

    Tulsa University

    Tulsa, OK  United States 
  • Authors:
    • Glover, F
    • Karney, D
    • Klingman, D
    • Russell, R
  • Publication Date: 1974-12

Media Info

  • Pagination: 32 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00090894
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Report/Paper Numbers: CCS-212
  • Contract Numbers: N00123-74-C-2275
  • Files: TRIS
  • Created Date: Jun 26 1975 12:00AM