Effects-Based Designing Organizational Processes: Methodology and Applications

Abstract

Designing organizational processes is to select best course of action (COA) to accomplish organizational mission, which is under organizational resources capability constraints. In this paper, a new methodology is advanced to obtain an optimal strategy of organizational processes, which is based on organizational resource capability and desired effects. We define the basic conceptions that include statements of organizational environment and organizational resource capability, actions, events and effects, on which dynamic Bayesian network (DBN) and Markov chain are employed to represent the evolving of organization with its environments. An example of joint landing campaigns is analyzed in our paper, and the new methodology is applied to design optimal strategy for a military organization to accomplish its missions. The optimal COA, obtained from our new methodology under diverse campaigns conditions, are given and analyzed. Results from the simulation of the COA show that our approach to solve optimal strategy of organizational processes accord with traits of general landing campaign.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA464040

Entities

People

  • Bao-xin Xiu
  • Dong-sheng Yang
  • Wei-ming Zhang
  • Xiao-hong Peng
  • Zhong Liu

Organizations

  • National University of Defense Technology

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Battlefields
  • Bayesian Networks
  • Climate Change
  • Command And Control
  • Environment
  • Information Systems
  • Markov Chains
  • Military Organizations
  • Military Planning
  • Models
  • Probability
  • Random Variables
  • Universities
  • War Colleges
  • Warfare

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Organizational Psychology.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy