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October 2000 Newsletter - Naval Postgraduate School

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STUDENT RESEARCH<br />

INTELLIGENT AGENTS FOR NAVY ACQUISITION INNOVATION<br />

LCDR David N. Fowler, United State Navy<br />

Master of Science in Management-December 1999<br />

Advisor: Assistant Professor Mark E. Nissen, Department<br />

of Systems Management<br />

Information technology has advanced to the point at which<br />

software agents can be developed to represent people in their<br />

conduct of business processes. Enabled by a modicum of<br />

artificial intelligence, such software artifacts are termed<br />

intelligent agents, and recent thesis work by <strong>Naval</strong> <strong>Postgraduate</strong><br />

<strong>School</strong> (NPS) faculty and thesis students is applying this<br />

advanced technology to the acquisition domain. The<br />

students are building on research conducted by Assistant<br />

Professor Mark Nissen, who has long been investigating<br />

process innovation through knowledge technologies such as<br />

intelligent agents. Their work is inspired, in part, by a proofof-concept<br />

agent application called The Intelligent Mall,<br />

which demonstrates the use of intelligent agents to automate<br />

key aspects of the enterprise supply chain.<br />

In his thesis effort, entitled Innovating the Standard<br />

Procurement System Utilizing Intelligent Agent Technologies,<br />

LCDR David Fowler, USN, examines opportunities for<br />

agents to innovate the Navy acquisition process. Acquisition<br />

activities—such as procurement, contracting and logistics—<br />

are becoming increasingly important, as the Navy and other<br />

services strive to shorten the cycle time required for weapon<br />

system development and be more responsive to warfighter<br />

needs in the field. At present, the acquisition process is timeconsuming,<br />

expensive and labor-intensive, with a mixed<br />

record of satisfying warfighter needs.<br />

The current DoD approach to this problem is to pursue<br />

development and implementation of what is referred to as<br />

the Standard Procurement System (SPS), which is a large<br />

software application used to enable workflow capabilities in<br />

support of the procurement and contracting processes. SPS<br />

provides some capability for paperless contracting and<br />

possesses the necessary infrastructure to begin a transition to<br />

electronic business. For instance, it replaces paper forms<br />

(e.g., purchase requests, requests for quotation, purchase<br />

orders) with electronic counterparts and automatically<br />

routes such work products to various people in the organization<br />

(e.g., requestors, managers, contract specialists).<br />

However, as a relatively novel information system implementation,<br />

SPS remains quite crude and has limited functionality.<br />

And this information system is being implemented<br />

worldwide without first redesigning the underlying procure-<br />

ment and contracting processes.<br />

The objective of this thesis is to identify avenues for<br />

emerging agent technologies to innovate the acquisition<br />

process, with the goal of enabling order-of-magnitude gains<br />

in performance (esp. cost and cycle time).<br />

LCDR Fowler acquired considerable acquisition expertise<br />

as a student at NPS, where he was exposed to SPS. He<br />

leveraged this knowledge and exposure to investigate the<br />

potential role that intelligent agents could play in process<br />

redesign. He also acquired familiarity with the capabilities of<br />

the Intelligent Mall, in order to ground his analysis in agent<br />

capabilities that are becoming available today. Using the<br />

Davenport-Nissen framework for process analysis, he<br />

conducted a detailed examination of the Federal Acquisition<br />

Process and identified many serious pathologies, along with<br />

numerous process activities the SPS fails to support. He then<br />

employed a four-step method for evaluating agent potential,<br />

which he used to identify and rank-order several acquisition<br />

process activities with particularly-good potential for automation<br />

and support through intelligent agent technology.<br />

Each of these was in turn evaluated in the context of two<br />

process redesign alternatives, both of which offer excellent<br />

opportunity for the kinds of quantum performance gains<br />

desired through innovation.<br />

Several key results emerge from this thesis research. First,<br />

the current DoD approach (i.e., SPS) is seriously flawed.<br />

Although SPS represents a step in the right direction (e.g.,<br />

moving toward paperless contracting), the underlying<br />

acquisition process it supports remains inefficient, and laying<br />

SPS on top of this existing process is expected to make cost<br />

and cycle time increase. Second, agent technology that is<br />

available today offers excellent potential to enable quantum<br />

performance improvements in Navy acquisition processes.<br />

And such agent technology can be developed to integrate<br />

with SPS and other existing Navy systems, thereby leveraging<br />

the investment already made in such systems. Third,<br />

restructuring the underlying acquisition process—in addition<br />

to developing systems for support—offers great potential<br />

for performance improvement and lies within the<br />

authority of Navy leaders to undertake. Fourth, because<br />

agent technology continues to develop and mature, not all<br />

acquisition process activities should necessarily be addressed<br />

by agents at the present time. Rather, the thesis identifies<br />

those near-term process activities (e.g., market research) that<br />

offer the best potential for agent-based support today, along<br />

--continued on page 24<br />

NPS Research page 23<br />

<strong>October</strong> <strong>2000</strong>

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