Today’s decision support systems for crisis management are mostly designed to support a fixed process that integrates a given set of information sources. This means policies that govern the crisis management process are tightly integrated with the implementation, which makes it hard to adapt the system to changing requirements. Modern systems are expected to be adaptable and need to evolve along with the availability of new information sources and changing business processes. Previous work suggested using workflow systems to manage crisis management processes. Current approaches that use workflow systems are not end-user friendly or not flexible enough. In this paper we present our approach that combines workflows and decision tables for creating more flexible decision support systems. While workflows are used to orchestrate services and implement information logistics in the decision support processes, embedded rule sets are used to provide flexibility and adaptability of workflows. The rule sets are authored using decision tables which are an easy-to-use representation that allows end-users to express rules in an intuitive way.
[1]
Charles L. Forgy,et al.
Rete: a fast algorithm for the many pattern/many object pattern match problem
,
1991
.
[2]
C. Sell,et al.
Using a Workflow Management System to Manage Emergency Plans
,
2009
.
[3]
Dave Thomas.
Agile Programming: Design to Accommodate Change
,
2005,
IEEE Softw..
[4]
Bart Baesens,et al.
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
,
2011,
Decis. Support Syst..
[5]
Solomon L. Pollack.
ANALYSIS OF THE DECISION RULES IN DECISION TABLES
,
1963
.
[6]
Birgit Zimmermann,et al.
Flexible Workflows at Design- and Runtime Using BPMN2 Adaptation Patterns
,
2011,
BIS.
[7]
Jan Martin Jansen,et al.
Towards dynamic workflow support for crisis management
,
2010,
ISCRAM.
[8]
K. A. Bekiashev,et al.
Intergovernmental Oceanographic Commission (IOC)
,
1981
.
[9]
Nathaniel Palmer,et al.
Workflow Management Coalition
,
2009,
Encyclopedia of Database Systems.