A Heuristic Approach to Decision-Making for the Purchase of Acquisition Data.
Abstract
Despite a variety of regulations and directives on the subject of acquisition data, there are currently no published criteria which will aid Program Managers in their decision to purchase acquisition data for a particular item. This thesis proposes a heuristic decision-making model which will aid Program Managers or Data Managers in their acquisition data purchasing decisions. The researchers first identified, through a literature search and a series of personal interviews, eleven criteria relevant to the acquisition data purchasing decision. These criteria were then ranked and weighted by acquisition data experts using a second set of personal interviews. By rating items for which acquisition data was purchased and later used in a competitive reprocurement, and items for which no acquisition data was purchased, the researchers developed two decision points for their model. These two points dictate whether or not the model's user should purchase acquisition data for the item being rated. The researchers tested the model by randomly selecting items for which a decision has already been made to purchase or not purchase the acquisition data.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1984
- Accession Number
- ADA147219
Entities
People
- D. B. Flilippi
- R. G. Nelson
Organizations
- Air Force Institute of Technology