Acquisition Strategies for Dealing with Uncertainty

Abstract

The acquisition and engineering of large scale, complex information systems, particularly those that transcend organizational and functional boundaries, represent well-recognized challenges. The processes and procedures that evolved during the second half of the 20th century are best suited for the development of linear, well-bounded systems. These processes have proven difficult to adapt to situations in which stakeholders do not always agree requirements evolve, and constraints keep changing. Different processes and procedures are needed to address the acquisition and engineering of information technology systems with evolving requirements and rapidly changing technologies. This paper is based on the results of a multi-year research program that investigated how uncertainty-based acquisition methods can be used to improve the odds of successful IT acquisitions. The paper presents new concepts for managing uncertainty in acquisition programs: the uncertainty landscape, uncertainty-driven acquisition strategies (staged commitment, small bets), the Y model, and a three-step approach to implementation (i.e. diagnosis, strategy selection, and adaptive execution). More than 20 acquisition programs were studied, and pilot programs were initiated to test the frameworks and strategies suggested in the research.

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Document Details

Document Type
Technical Report
Publication Date
Apr 22, 2009
Accession Number
ADA528084

Entities

People

  • Marc R. Halley
  • Margaret K. King
  • Renee G. Stevens

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Business Administration
  • Contracts
  • Department Of Defense
  • Emerging Technology
  • Engineering
  • Government Procurement
  • Governments
  • Information Systems
  • Law
  • Logistics
  • Management Personnel
  • Military Acquisition
  • Organizational Structure
  • Public Policy
  • Supply Chain
  • Systems Engineering

Readers

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