Tracker:

Reducing rework through decision management

Tracker project logo The generic problem
Research objectives and results
Project publications
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Funding
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Staffordshire University Lancaster University


The generic problem:

The fundamental industrial problem that we will tackle is the need to reduce rework in systems engineering projects. Rework through changing requirements is inevitable in large projects but we believe that a significant amount of rework arises as a result of communication failures between decision makers and, hence, inappropriate or incorrect decisions. By reducing rework, we reduce the risk of cost and schedule overruns and allow better use to be made of skilled and experienced staff.

Research hypothesis:
The amount of rework in a systems engineering project can be reduced by providing managers with information about their own decisions and decisions made by other project managers. This information will make decisions visible and will simplify decision impact and risk assessment. By helping managers understand the wider implications of their decisions and by avoiding premature or delayed decisions we will reduce the number of decisions that necessitate subsequent rework.

Research objectives and results:

ObjectiveExpected results
To extend current decision theory to include the concepts of decision architecture and decision management. We will deliver semantic models of a framework to describe decisions and their relationships with other decisions, risks and business goals and an instantiation of this framework to support systems engineering decision making.
To investigate how the decision making process in systems engineering can be supported so that the number of decisions that require rework is reduced. We will deliver demonstration software that supports decision management and allows the impact of decisions on other decisions and business and project goals to be assessed.
To investigate how decisions can be automatically captured and translated into our decision model. We will deliver demonstration software that correctly captures decisions and associated information directly from minutes of meetings and from electronic whiteboards.

Publications:

Project personnel:

Funding:
Funded by the
EPSRC Systems Integration programme for 36 months beginning in May 2001. Grant number GR/R12183/01 for £771349.

Contacts:
This page maintained by
Paul Rayson.

CSEG projects
CSEG research group
Computing Department, Lancaster University
School of Computing, Staffordshire University