OPTIMAL REAL-TIME CONTROL OF RESEARCH FUNDING.

Abstract

Funding of research projects is considered as encompassing three stages: (1) an initial short-run plan for funding based upon projected regular demands and availability subject to random deviations; (2) adjustment of the initial plan to take into account the actual regular demands and the availability and the funding of significant breakthroughs which occur at random intervals, preempting other demands; and (3) a plan for longer-run availability and demands which constitute a 'posture' desired subsequent to the funding adjustments of (2). The essence of the distribution of the unexpected demands is multi-modality with low probability of occurrence but high resource demand when they do occur. This approach represents a substantial departure from the usual planning model development which produces only an optimal plan based on forecasted developments without provision for adjustment when the forecasted events actually materialize and additional unexpected demands are placed on resources. The adjustment process explored here--which provides the mechanism for optimal implementation of the original plan or control of resource allocation--enables optimal response to information received in 'real-time,' avoiding the frequently observed over- or under-response to receipt of such information without reference to the impact of the interim decision on future capabilities. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1965
Accession Number
AD0620175

Entities

People

  • A. C. Stedry
  • A. Charnes

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Availability
  • Behavior And Behavior Mechanisms
  • Behavioral Disciplines And Activities
  • Behavioral Sciences
  • Contract Administration
  • Contracts
  • Cooperation
  • Group Dynamics
  • Intervals
  • Probability

Readers

  • Economics
  • Public Financial Management and Budgeting
  • Regression Analysis.