The methodology of management science is the integration of processes such as establishing objectives, allocating resources and organizing activity according to a predetermined schedule. This 'system approach' provides a bridge between what is needed and what is feasible and practical.
The tool of management science is mathematics, probability and statistics, operations research, modeling, simulation, decision theory while its techniques includes the selection of variables and relationship involved, structuring of problem, selection of criterion and handling of risks and uncertainties.
In the system concept, any organization is seen as a system made up of holons, each having their own goals. Traditional management based on a vertical flow of authorities and information (hierarchy) and emphasized only subsystems. Due to the explosion of information and complexity of today's organizations, a so-called 'management information system' evolved in the 1970s and 80s which requires the flow of information upward and downward within the organizations (holarchy) and the consideration of the entire system's goal. The traditional hierarchy of management is shown here:
DECISION INFORMATION Unstructured, based STRATEGIC Analysis on experience PLANNING Functional Relations ^ | Partial Programmed MANAGEMENT Summary Information CONTROL ^ | Highly structured OPERATION Aggregate Data CONTROL ^ | Completely Programmed OPERATION Detailed Information Raw DataFig.1 Hierarchy of Management Science
MANAGEMENT CONTROL
^
|
v
E INFORMATION FEEDBACK SYSTEM E
N ^ ^ ^ N
V | | | V
I v v v I
R ECONOMIC ORGANIZATION GOODS & R
O RESOURCES PROCESSES SERVICES O
N __________ ____________ __________ N
M People Production Products M
E Money Marketing Services E
N Material Finance Payment N
T Machines Personnel Contribution T
Land Others Information
Facilities ____________ __________
Energy
Information PROCESSING OUTPUT
___________
INPUT
Fig 2. Holarchy of Management
One example of the relationship between management science and environmental informatics is shown here using the iron and steel industry. Since 1950s, technological innovations in the manufacturing of iron and steel impose larger than ever energy requirement and direct environmental impacts through waste disposal, water and air pollution. As social pressure mounted, data on recycling, use of sale of byproduct and waste products, water waste loads were first collected as input. Data are processed into useful information, like productivity, control ratio etc. Management incorporates these information with social optimal and investment choices, exchange informations with other subsystems for solutions, such as the development of ore pelletizing and the growth of mini-mills. Magagement executives finally made the decisions and the results were a lower raw material consumption per tonne of iron and energy source per tonne of final output.
Compiled by
Christine Leung cwl1@cec.wustl.edu Last updated on 11/03/94