Chapter 6: planning with limiting factors Flashcards
What is the aim of key factor analysis?
max profit
What are the 5 steps of key factor analysis?
Step 1: identify the scarce resource
Step 2: Calculate the contribution per unit for each product
Step 3: Calc the contribution per unit of the scarce resource for each product
Step 4: rank the products in order of the contribution per unit of the scarce resource
Step 5: allocate resources using this ranking & answer the question
When can key factor analysis be used
1 scarce resource
When is linear programming used
2 or more scarce resources
What is linear programming used for
Max contribution and/or min costs
How to formulate linear programming?
Step 1: define the variables
Step 2: Define & formulate objective (y=mc+c)
Step 3: Formulate constraint
Step 4: Draw a graph identifying the feasible region
Step 5: solve for the optimal production plan
Step 6: Answer question e.g max profit= ?
How to identify the feasible region
Shown by the <and equal to (black line vs dotted line) above and below the line etc…
What are the 2 stages of finding the optimal solution
1) By inspection - it will lie on the corner of the feasible region. Calc the contribution at each corner (not to do in the exam- time consuming)
2) Drawing an iso-contribution line- line where all points represent an equal contribution
or simultaneous equations
Assumptions of limiting factor analysis
1) single quantifiable objective- can have multiple objectives e.g max return min risk
2) each product uses same amount of scarce resource per unit
3) contribution/unit is constant-economies of scale= discount for bulk buy or selling price lowered to sell more
4) products are independent- can buy 2 products together/ they can be manufactured jointly
5) scenario is ST- can ignore Fixed costs
What is slack
Amount in which a resource is under-utilised or a product with unfulfilled demand
On a graph the optimum point doesn’t fall on a given resource line
What is the solution to slack
When 2 critical constraint lines cross- they’ll be fully utilised
Why is slack important
Critical constraints (0 slack)= gaining additional units of the scarce resource= optimal solution improved. If another department wants the resources= lower contribution
Non-critical constraints= gaining or losing a small no of units has no impact on optimal solution
What is the shadow/dual price?
increase in contribution created by the availability of 1 additional unit of the limiting factor at original cost
Max premium the firm is willing to pay for 1 extra unit of each constraint
Non-critical constraints have 0 shadow price as slack exists already
How to calculate the shadow price
Step 1: take the equations of the straight lines that intersect at the optimal point. Add 1 unit to the constraint concerned and leave the other unchanged
Step 2: use simultaneous equations to derive a new optimal solution
Step 3: Calc the revised optimal contribution&
compare to the original contribution cancelled
Increase is the shadow price
What are the implications of shadow pricing?
Could negotiate a lower than shadow price
If a critical constraint is obtained the constraint line moves outwards (changing shape of the region). After a period of time it won’t be worth buying more scarce resource as non-critical constraints become critical