Hansen and Mowen - Gunadarma University
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Transcript Hansen and Mowen - Gunadarma University
COST MANAGEMENT
Don R. Hansen
Maryanne M. Mowen
PPT 3 -1
Chapter Three
Activity Cost
Behavior
PPT 3 -2
Learning Objectives
Define and describe fixed, variable, and mixed
costs.
Explain the use of resources and activities and
their relationship to cost behavior.
Separate mixed costs into their fixed and variable
components using the high-low method, the
scatterplot method, and the method of least
squares.
PPT 3 -3
Learning Objectives (continued)
Evaluate the reliability of the cost formula.
Explain how multiple regression can be used to
assess cost behavior
Discuss the use of managerial judgment in
determining cost behavior.
PPT 3 -4
Cost Behavior
Fixed Cost Behavior
$
Variable Cost Behavior
$
Relevant Range
Activity
Activity
PPT 3 -5
The Behavior of a Mixed Cost
Linearity Assumption
Total Costs
$Cost
Fixed Costs
Variable Costs
Number of Units Produced
Y = F + VX
PPT 3 -6
Basic Terms
Activity capacity is the ability to perform activities.
Practical capacity is the efficient level of activity
performance.
Resources are economic inputs that are consumed in
performing activities.
PPT 3 -7
Types of Fixed Resources
Flexible Resources
Committed Resources
Discretionary Fixed Costs
PPT 3 -8
Flexible Resources
Flexible resources are supplied as used and needed.
They are acquired from outside sources, where the terms of
acquisition do not require any long-term commitment for
any given amount of the resource.
Example:
Materials and energy
PPT 3 -9
Committed Resources
Committed resources are supplied in advance of
usage.
They are acquired by the use of either an explicit or implicit
contract to obtain a given quantity of resource, regardless of
whether the amount of the resource available is fully used
or not. Committed resources may have unused capacity.
Example:
Buying or leasing a building or equipment
PPT 3 -10
Committed Resources (continued)
Committed fixed expenses are costs incurred for the
acquisition of long-term capacity.
Example: Plant, equipment, warehouses, vehicles, and salaries of
top employees
Discretionary fixed expenses are shorter-term
committed resources.
Example: The hiring of new receiving clerks
PPT 3 -11
Resource Relationships
The relationship between resources supplied and
resources used is expressed by the following
equation:
Resources available = Resources used + Unused capacity
PPT 3 -12
Example
Available orders = Orders used + Orders unused
7,500 orders = 6,000 orders + 1,500 orders
Fixed engineering rate
= $150,000/7,500
= $20 per change order
Variable engineering rate
= $90,000/6,000
= $15 per change order
PPT 3 -13
Example (continued)
Cost of orders supplied = Cost of orders used + Cost of unused orders
= [($20 + $15) x 6,000] + ($20 x 1,500)
= $240,000
Of course, the $240,000 is precisely equal to the $150,000 spent on engineers
and the $90,000 spent on supplies.
The $30,000 of excess engineering capacity means that a new product could
be introduced without increasing current spending on engineering.
PPT 3 -14
Step-Variable Costs
Linearity Assumption
$Cost
Narrow Width
Number of Units Produced
PPT 3 -15
Step-Fixed Costs
Linearity Assumption
$Cost
Wider Width
Number of Units Produced
PPT 3 -16
Methods for Measuring the Fixed and
Variable Components of a Mixed Cost
The High-Low Method
Scatterplot Method
The Method of Least Squares
PPT 3 -17
High-Low Method: An Example
Month
January
February
March
April
May
Utility Costs
$2,000
2,500
4,500
5,000
7,500
Units Produced
200
400
600
800
1,000
PPT 3 -18
The High-Low Method (continued)
Y = F + VX
Variable Cost Rate (V)= (Y2 - Y1)/(X2 - X1)
V = ($7,500-$2,000)/(1,000-200)
V = $5,500/800
V = $6.875 per unit
PPT 3 -19
The High-Low Method (continued)
Y
$7,500
F
F
= F + VX
= F + $6.875 (1,000)
= $7,500 - $6,875
= $625
The cost formula using the high-low method is:
Y = $625 + $6.875 (X)
PPT 3 -20
Utility
Cost
Scatterplot Method
$8,000
6,000
Important: Cost function is only
relevant within relevant range
.
.
4,000
.
.
.
Analyst can fit line
based on his or her
experience
2,000
200
0
400
600
800
Units Produced
1,000
PPT 3 -21
Nonlinear Relationship
Activity
Cost
*
*
*
*
*
0
Activity Output
PPT 3 -22
Upward Shift in Cost Relationship
Activity
Cost
*
*
0
*
*
*
*
Activity Output
PPT 3 -23
Presence of Outliers
Activity
Cost
*
*
*
0
*
*
*
Activity Output
PPT 3 -24
Least Squares
Constant
250
Std Err of Y Est
299.304749934466
R squared
0.944300518134715
No. of Observations
5
Degrees of Freedom
3
X Coefficient(s)
6.75
Std Err of Coef.
0.9464847243
PPT 3 -25
Least Squares (continued)
The results gives rise to the following equation:
Utility Costs = $250 + ($6.75 x # of units produced)
R2 = .944, or 94.4 percent of the variation in setup costs is explained by the number
of setup hours variable.
PPT 3 -26
Least Squares (continued)
Using Confidence Intervals:
Given:
*T-value for sample size of 5 at 95% confidence level is 3.182 (two-tale
test and 3 degrees of freedom)
*Standard error of estimate for this sample at the 95% confidence level
is 598.6
The confidence interval for 300 units is:
TC = $250 + 6.75 (300) + (3.192 x $598.6)
= $2275 + $1911
PPT 3 -27
Multiple Regression
TC = b0 + b1X1 + b2X2 + . . .
b0 = the fixed cost or intercept
bi = the variable rate for the ith independent variable
Xi = the ith independent variable
PPT 3 -28
Multiple Regression (continued)
Month
January
February
March
April
May
June
July
August
September
October
November
December
MHrs
1,340
1,298
1,376
1,405
1,500
1,432
1,322
1,416
1,370
1,580
1,460
1,455
Summer
0
0
0
0
1
1
1
1
1
0
0
0
Utility
Cost
$1,688
1,636
1,734
1,770
2,390
2,304
2,166
2,284
1,730
1,991
1,840
1,833
PPT 3 -29
Multiple Regression (continued)
Constant
243.1115
Std Err of Y Est
55.5083
R squared
0.9672
No. of Observations
12
Degrees of Freedom
9
X Coefficient(s)
1.0972
510.4907
Std Err of Coef.
0.2102
32.5490
PPT 3 -30
Multiple Regression (continued)
The results gives rise to the following equation:
Utilities cost = $243.11 + $1.097(MH) + $510.49(Summer)
R2 = 0.967, or 96.7 percent of the variation in utilities cost is
explained by the machine hours and summer variables.
PPT 3 -31
Cost Behavior and Managerial
Judgment
Some Tips
Use past experience
Try to confirm results with operating personal
Use common sense to confirm statistical studies
PPT 3 -32
End of Chapter 3
PPT 3 -33