Today, with the help of information
systems, logistic enterprises are able analyze
sufficient amount of information and documentation
to make a decision. However, decision
support system (DSS) through data to
information and information to decision, can
get quite long and complicated. This complexity
arises from the interaction of the complex
and uncertain subsystems of logistics. DSS
already taking advantage of the components
of the existing databases, that will integrate
decision-makers information with a synergistic
way and using data models, to reduce the
complexity and able to deliver the solutions
to the problems (1).
It should be reminded that DSS never makes
a decision. DSS offers various information
(choice) by analyzing data to make the
best decision. Decision-makers examines the
options and try to make the best choice. It
is not always easy to make a decision in logistic
operations management. Therefore, in
complex systems such as logistics in which
information systems is difficult to define,
DSS provides kind of logistical support to the
decision-makers. DSS is important in today’s
competitive environment to take the right decisions
(1).
DSS is important not only for logistic operations
enterprises but also for manufacturing
business as well. Business engaged in production
should act carefully in supplier selection.
Therefore, supplier selection is possible with