The components of DSS Mathematical problems PART 2 page 92

Data management subsystem

• inlcudes a database that contains relevenat data, managed by DBMS. CAn be interconnected with DW.

1. DSS database

• internal data: from orgs Transaction Processing System (TPS). Monthly payroll, operational data from functional areas of the business, machine maintenance scheduling. future hiring pans. Included in DW.
• external data: industry data, market research consensus data, govt regs, tax rate schedules, national economic data.
• private data: guidlines used by specific decision makers as assesments of specific data and or situations.
  

1. DBMS
2. Data query
3. Query facility
   

Model management subsytem

software package: financial, statictsical, management science, quantitive models that provide analytical capabilities and software mgt. Often call model base management system MBMS. Can be connected to external storage.

• Model base

1. Strategic models: used by top managers for strategic planning responsibilities.
2. Tactical models: used by middel managers for allocation and controlling orgs resources.
3. Operational models: support day to day working activities.
4. Analytical models: used to perform analysis on data.
   

• MBMS
• Modeling langugae
• Model directory
• Model execution, integration, command processor.
  

User interface subsytem

User commiunicated with and comand the DSS. User is considered part of the system.

Knowledge based management subsytem

can support any of the other components or act as independant component. Augments system/ decision maker with intelligence.

The components of DSS Mathematical problems page 151

All models are made up of four basic components. Mathematical relationships links these components together.

Result (outcome) variables

• Reflect the level of effectiveness of a system, ho well the system attains its goals. These variables are outputs.
• Considered dependant

Decision variable (pg 58, 152)

• Describes alternative courses of action. The decision mkaer controls the decision variables.

uncontrollable variables (or parameters)

• Factors that affect result varibales but are not under the control of the decision maker.
• Some of these variables limit the decion maker and therefore form what are called constraints of the problem.

intermediate result variables

• Reflect intermediate outcomes in mathematical models. eg. determining machine maintenance scheduling, spoilage, total profit, employee satisfaction