Relevant Costing and Linear Programming Flashcards
Characteristics of a Relevant Cost
3
- Future
- Different under alternatives
- Avoidable
Usually
Variable Cost - relevant or irrelevant?
Fixed Cost - relevant or irrelevant?
Variable cost - usually relevant
Fixed cost - usually irrelevant (sunk cost) unless they become avoidable
Total Analysis vs Differential Analysis
Total
- old profit vs new profit
- relevant costing dont want this method
Differential
- only the changes
Objective of a Business
Maximize profit
- maximize revenue
- minimize expense
Types of Decision in Relevant Costing
Make or Buy (outsourcing)
- choose lower cost
- FC usually irrelevant
- opportunity cost is relevant
Maximum Cost = all relevant cost (+ opportunity cost)
Types of Decision in Relevant Costing
Accept or Reject a Special Order
- revenue > cost
- FC are usually irrelevant
Minimum Selling Price
- Full Capacity (sold out) - Regular SP
- Excess Capacity (unsold units) - Unit VC
Types of Decision in Relevant Costing
Continue or Shutdown a Segment
- revenue > cost
- FC are usually irrelevant
FC classified into
- traceable = relevant
- common = allocated to other branch
Segment Margin
- CM less Traceable FC
- Continue if Positive, Shutdown if Negative
Shutdown Point
- FC less SDC / UCM
- SDC is unavoidable
- Continue if above, Shutdown if below
Types of Decision in Relevant Costing
Sell or Process Further
- revenue > cost
- Joint cost are ALWAYS irrelevant
- SELL = sales value at splitoff
- PROCESS = Final sales value less processing cost
Types of Decision in Relevant Costing
Scrap or Rework
- revenue > cost
- Carrying value are ALWAYS irrelevant
Types of Decision in Relevant Costing
Best Product Combination
allocate limited resources to product from highest to lowest CM per unit of limited resources
Linear Programming
- Multiple constraints
- Upgraded version of best possible combination
Steps in Linear Programming
OCSC
- Objective Function
- Constraint Functions
- Solutions feasible
- Choice
Objective Function
max or min (ex. Z = 3A + 4B)
Constraint Functions
- Function 1 (ex. 2A + 5B < 120)
- Function 2 (ex. 4A + 2B < 80)
- Equate A or B as 0 in both functions
- Last is add the 2 functions and eliminate either A or B to get their value
Solutions feasible
this pertains to the vertices of the graph