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3. The concept of decision support system structures - declarative approach
While imperative models specify exactly how things have to be done, declarative
approaches only focus on the logic that governs the interplay of actions in the process by
describing (1) the activities that can be performed, as well as (2) constraints prohibiting
undesired behavior. Imperative models take an 'inside-to-outside' approach by requiring all
execution alternatives to be explicitly specified in the model. Declarative models, in turn,
take an 'outside-to-inside' approach: constraints implicitly specify execution alternatives as
all alternatives have to satisfy the constraints (Pesic, 2008).
The concept of decision support system for managing supply chain can be regarded as an
additional information layer, which contains both elements of the structure and functional
information.
Fig. 2. The simplified schema of the basic structures and functionality for decision support
system as an additional information layer
Decisions in the presented system are the answers to specific questions. Questions are
implemented as predicates in CLP. The contribution of this concept is largely automated
implementation of questions as predicates CLP by appropriate entries in the database.
The parts of the proposed database structure for the decision support system are presented
in Table 1, Table 2 and ERD (Entity Relationship Diagram)-Fig.3, Fig.4, Fig.5. The basic
functional structure, components of the system and method of operation are shown in Fig.1.
Ask a question launches a sequence of events. The most important of them subject to the
chronology and numbers (Fig.2) have been presented below.
1.
Mapping-completion of the data structures of questions based on the ERP database
(Table 2).
2.
Loading information on the structure and functions of questions from the system tables
(Table 1)(Fig.3).
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