A Systematic Approach to Optimize Organizations Operating in Uncertain Environments: Design Methodology and Applications

Abstract

This paper presents a comprehensive methodology for solving diverse problems arising in performance optimization of organizations operating in uncertain environments. We introduce a technique to decompose a multi-dimensional organizational design problem into a series of coupled sub-problems whose iterative solution produces a near-optimal organizational structure, and decision processes. We illustrate our approach via an example to provide a step-by-step visualization of the modeling of complex and uncertain missions, and of synthesizing the concomitant organizations to optimize different sets of design objectives, while satisfying organizational constraints. Our methodology incorporates algorithms for optimizing the expected outcomes, collaborative organizational strategies, distributed resource utilization, mission processing schedule, and information management in an organization. The methodology serves as a valuable tool to address many practical problems arising in organizational design.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2002
Accession Number
ADA467668

Entities

People

  • Georgiy M. Levchuk
  • Krishna R. Pattipati
  • Yuri N. Levchuk

Organizations

  • Aptima (United States)

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Bayesian Networks
  • Command And Control
  • Computer Programming
  • Engineering
  • Environment
  • Information Systems
  • Information Transfer
  • Manufacturing
  • Organizational Structure
  • Probability
  • Probability Distributions
  • Production
  • Random Variables
  • Stochastic Processes
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design