Skip to main content

DECISION ANALYSIS BY ANALYTICAL MODELLING

Decisions needs to be analyzed for conditions and assumptions considered in the decision model. The process is executed through analytical modeling of problem and solution. The model is analyzed in four ways:

  1. What if analysis – Decisions are made using a model of the problem for developing various solution alternatives & testing them for best choice. The model is built with some variables and relationship between variables . in reality, the considered values of variables and relationships may not hold good and therefore solution needs to be tested for an outcome, if considered values of variables or relationship change. This method of analysis is called ‘what if analysis’.
  2. Sensitivity analysis – It is a special case of what if analysis in which only one variable is changed and rest are kept unchanged. It helps to understand the significance of variable in decision making and improves the quality of decision making.
  3. Goal achieving analysis – in this, the problem is analyzed in exactly reverse way as that of what if analysis or sensitivity analysis. In goal seeking analysis, the goal is fixed and the variables and values are analyzed, which would help to seek that goal. The work is done backward from the goal.
  4. Goal seeking analysis - in this, the goal is not fixed but the decision maker tries to achieve a goal of an optimum value arrived at after satisfying all constraints operating in the problem. The decision maker can use this analysis to work on constraints and resources and find ways to improve upon solution to seek highest goal.

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

CONCEPTUAL VIEW OF MIS

The concept is a blend of principles, theories and practices of management, information and system giving rise to a single product called MANAGEMENT INFORMATION SYSTEM . The concept of management gives high regard to the individual and his ability to use the information. MIS gives information through data analysis. While analyzing the information, it relies on many academic disciplines like management science, OR, organization behavior, psychology, etc. The foundation of MIS is the principles of management and its practices. MIS uses the concept of management control in its design and relies heavily on the fact that the decision maker is a human being and is a human processor of information. A MIS can be evolved for a specific objective it is evolved after systematic planning and design. It calls for an analysis of business, management views and policies, organization culture and the management style. The MIS,therefore relies heavily on systems theory.The systems theory offers soluti