Accession Number:

AD0676913

Title:

RECURSIVE PROGRAMMING OF INDUSTRIAL PERFORMANCE: A CASE STUDY OF THE U. S. IRON AND STEEL INDUSTRY,

Descriptive Note:

Corporate Author:

GEORGE WASHINGTON UNIV WASHINGTON D C LOGISTICS RESEARCH PROJECT

Personal Author(s):

Report Date:

1968-06-28

Pagination or Media Count:

99.0

Abstract:

The paper considers the performance of the U. S. iron and steel industry and explains its economic behaviors regarding internal resource allocation and capacity adjustments. The model constructed in the paper relates the performance of the industry to its production technology and locational characteristics. Specific attention is given to the effects on performance variables of the following two factors technological developments in steelmaking and differential growths in industrial complexes in various geographical regions in this country. The static features of steelmaking are studied by way of process analysis which explores short run production scheduling and intra-industry resource allocation. The dynamic aspects of the industrial performance are explored via a recursive programming model, which uses a sequential optimizing procedure based on model generated results and environmental feedbacks. The study covers the period 1935-1964. Author

Subject Categories:

  • Economics and Cost Analysis

Distribution Statement:

APPROVED FOR PUBLIC RELEASE