An Algorithm for Multi-Attribute Assignment Models and Spectral Analyses for Dynamic Organization Designs

Abstract

A new algorithm for multi-attribute assignment models is presented. Built around the concept of a biased quadratic objective, it proceeds via a sequence of related assignments. Optional stopping is applied when an approximation to the optimum assignment is identified. A second part of the paper deals with manpower planning and organization designs which interact dynamically. A spectral analysis approach is used to obtain estimates of career patters and aspirations in terms of observed and potential transition problems. Goal programming approaches are used in both parts of the paper.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1972
Accession Number
AD0744675

Entities

People

  • Abraham Charnes
  • D. Sholtz
  • Richard J. Niehaus
  • William W. Cooper

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Behavioral Sciences
  • Cell Count
  • Classification
  • Computer Programming
  • Data Science
  • Evolutionary Algorithms
  • Integer Programming
  • Iterations
  • Management Personnel
  • Mathematical Programming
  • Organizational Structure
  • Personnel Management
  • Personnel Selection
  • Sequences
  • Transitions

Readers

  • Operations Research
  • Systems Analysis and Design