
Explore cost-volume-profit analysis to relate contribution, fixed costs, and variable costs, and calculate break-even points. Learn to handle multi-product scenarios with constant mix, weighted contribution, and margin of safety concepts.
Learn to plot CVP analysis graphs that show fixed and variable costs, total cost, revenue, break-even points, and margins of safety, including multi-product cost behavior and mix considerations.
Develop production planning under a limiting factor by maximizing the combined contribution of products A and B given mixing and shaping hour constraints and a B demand cap.
Explore how price and demand move in opposite directions and outline factors shaping demand, such as income, substitutes, tastes, expectations, obsolescence, and elasticity.
Explore elasticity of demand, derive the demand equation from data, and apply the MR-MC approach to profit maximization with clear, step-by-step methods.
Explore pricing strategies like cost-plus pricing, marginal cost, and break-even analysis. Compare skimming and penetration, complementary products, product line pricing, price discrimination, and dynamic pricing.
Evaluate risk and uncertainty through decision techniques like expected value, maximax, maximin, and minimax regret to choose production levels under different economic states.
Explore how decision trees quantify risk with the value of perfect and imperfect information, using probability-weighted outcomes and rollback analysis to choose optimal decisions.
In this course, we will be talking about:
Basics of cost, volume, profit and sales and different formulas to calculate production volume for break even, target profit, etc.
Understanding and plotting cost, profit, sales on graphs based on production volume and identifying break even, margin of safety, etc
Solving production problems with limiting factor through linear equations and graphical approaches.
How different factors affect price and demand.
Sensitivity of relationship between price and demand, using the demand equation and MR MC approach to calculate profit maximization level of output.
Different pricing strategies and their application.
Understanding characteristics of relevant costs and how to calculate relevant cost of material and labour.
Quantitative analysis of further processing decisions and shutdown decisions.
Different decision rules for different risk appetites under different conditions.
Decision trees, rollback analysis and how to calculate value of perfect and imperfect information.