TEAM DECISION MODELS OF AN INVENTORY SUPPLY ORGANIZATION.

Abstract

Propositions from team decision theory may be employed advantageously to resolve behavioral issues in the formal description of organizational decision processes. In specifying the information structure of an organization within the analysis of team problems it becomes useful to distinguish between components of the data generating process and the information system. An information system can be described completely in terms of (1) the space of organizational outcomes (or states of the world), (X sub i) = X; (2) the space of information, (Z sub k) = Z; and (3) the system likelihood function or conditional probability of each item of information, Z sub k, given the outcome, X sub i, for each Z sub k contained in Z and X sub i contained in X. The framework of applied statistical decision theory provides an operational procedure for the normative analysis of alternative decision rule programs and information systems. These considerations are illustrated for a simple logistics organization with operating costs given by a constrained asymmetric linear function of inventory and demand. In particular, both normal and extensive form analyses of the team decision problem are detailed under several logistics information systems. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1965
Accession Number
AD0616112

Entities

People

  • Charles H. Kriebel

Organizations

  • Carnegie Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Data Science
  • Decision Theory
  • Information Science
  • Information Systems
  • Inventory
  • Logistics
  • Mathematics
  • Probability
  • Statistical Decision Theory

Readers

  • Statistical inference.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Space