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Dynamic programming
It is an extension which finds solutions to problems involving a number of decisions which have to be made sequentially. For example, the amount of a product to be made next month may depend on the amount sold this month and so on.
Thus dynamic programming is a quantitative technique which divides a given problem into stages (or sub-problems which are interrelated). Here we attempt to find a combination of decisions which will maximize overall effectiveness.
Usually, we work backwards from the natural end of the problem until the initial problem is finally solved (as in the decision trees).
The decision made at each stage influences the next stage. This method is also termed as recursive approach.
Dynamic programming applications:1. Manufacture and distribution troubles.2. Organizing inventory control.3. Resource allowance.4. Substitution and maintenance troubles.
Profitability ratios The primary objective of a business under taking is to earn profits. Profit earning is considered necessary for the survival of the business. A business re
differentiate between multiple product , selling cots and margin management
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Is there a theory for financial ratios
SENSITIVITY ANALYSIS OF EOQ MODEL Sensitivity Analysis is regarded with the manner in which those results of solutions change in response to change in model parameters.
Categories of zero base budgeting The preceding discussion will reveal that zero base budgeting is based primarily on: 1) Development of decision units 2) Identification
The most ticklish difficulty that is faced through the finance manager is the resolve of the amount of working capital requirement at a specific level of production. To resolve thi
I only need the formulas in excel put in.
Exercise 12-7 sell or process further
Participative Budgets In this approach to budgeting, budgets are developed by lower level managers who then submit them to their superiors. The budgets depend on the lower level
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