Skip to main content

MIS and System Concepts

MIS and System Concepts

The MIS is an arrangement of data processing and information systems in an orderly manner to support the management in achieving the business objectives. The MIS boundaries cross the limits of the organization and draw the data from the source external to the organization. MIS follows a generalized model of a system as stipulated into the theory and performs on the principle of feedback and control. It works on the principle of control by exception.

MIS is designed to provide the information which is exceptional in nature form the point of view of business. The exceptions could be abnormal events, surprising developments, shocking news, or something that was not consistent with the exceptions. The MIS must catch all such points and reports then to the concerned management. It must, therefore, recognize all such possible points and provide a measure for comparison with the actual performance. Unless such a feature is included, the MIS will be supplying merely data and not information.

The MIS, initially, concentrates on the quality of in put satisfying the parameters, viz., impartiality, validity, reliability, consistency and age. A large amount of system effort is spent in this area to ensure the quality of the input.

The MIS provides a system for data processing and data analysis. It uses a number of applications and business models, operational research models and applications and business models, operational research models and application packages to produce the information. The MIS has a provision to display the information and also print it in a report format. It also provides a facility to store the intermediate results, which are used in a number of other systems. The MIS is a combination of the deterministic and the closed systems, and the probabilistic and the open systems.

By nature, the MIS is an open system interfacing continuously with the internal and the external environment and is self organizing to meet the ever increasing and changing information needs of the organization.


Comments

Popular posts from this blog

Advantages and Disadvantages of EIS Advantages of EIS Easy for upper-level executives to use, extensive computer experience is not required in operations Provides timely delivery of company summary information Information that is provided is better understood Filters data for management Improves to tracking information Offers efficiency to decision makers Disadvantages of EIS System dependent Limited functionality, by design Information overload for some managers Benefits hard to quantify High implementation costs System may become slow, large, and hard to manage Need good internal processes for data management May lead to less reliable and less secure data

Inter-Organizational Value Chain

The value chain of   a company is part of over all value chain. The over all competitive advantage of an organization is not just dependent on the quality and efficiency of the company and quality of products but also upon the that of its suppliers and wholesalers and retailers it may use. The analysis of overall supply chain is called the value system. Different parts of the value chain 1.  Supplier     2.  Firm       3.   Channel 4 .   Buyer

Big-M Method and Two-Phase Method

Big-M Method The Big-M method of handling instances with artificial  variables is the “commonsense approach”. Essentially, the notion is to make the artificial variables, through their coefficients in the objective function, so costly or unprofitable that any feasible solution to the real problem would be preferred, unless the original instance possessed no feasible solutions at all. But this means that we need to assign, in the objective function, coefficients to the artificial variables that are either very small (maximization problem) or very large (minimization problem); whatever this value,let us call it Big M . In fact, this notion is an old trick in optimization in general; we  simply associate a penalty value with variables that we do not want to be part of an ultimate solution(unless such an outcome is unavoidable). Indeed, the penalty is so costly that unless any of the  respective variables' inclusion is warranted algorithmically, such variables will never be p