Optimization of a Transportation System Planning Problem.

Abstract

This study investigated the problem of synthesizing a minimum cost transportation system plan to service forecast shipment requirements among a set of points in such a manner as to satisfy aggregate ship-time performance levels. Both commercial and dedicated modes may be used in the transportation plan; but the later must be designed in detail including specification of vehicles to be used, the route each is to service, and arrival/departure time schedules. A large-scale, mixed integer, linear programming model of the planning problem is developed and simplified for solution by applying Benders' decomposition to yield two more simple, interacting subproblems. One of these, a linear program which assures ship-time performance, is amenable to large-scale programming techniques for which specialized algorithms are stated. Several formulations of the other subproblem, which defines the dedicated mode network, are described. The first designs the network using a set of feasible, vehicle tours. An implicit enumeration algorithm applicable to this model is described. Three additional formulations, each of which constructs vehicle tours directly, were developed and solution approaches for each are described. The tactical, vehicle scheduling problem is treated subsequently. Collectively, study results offer capability to solve transportation system planning problems of realistic size. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1977
Accession Number
ADA049957

Entities

People

  • Wilbert E. Wilhelm

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Algorithms
  • Computations
  • Computer Programs
  • Evolutionary Algorithms
  • Flow Network
  • Heuristic Methods
  • Integer Programming
  • Linear Programming
  • Mathematical Models
  • Mathematical Programming
  • New York
  • Operations Research
  • Optimization
  • Simplex Method
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Aerospace logistics and air mobility.
  • Aviation Safety and Air Traffic Management
  • Operations Research