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17 -1
CHAPTER
Tactical
Decision
Making
17 -2
Objectives
1. Describe theAfter
tactical
decision-making
model.
studying
this
2. Explain howchapter,
the activity
resource usage
you should
model is used inbe
assessing
able to:relevancy.
3. Apply tactical decision-making concepts in a
variety of business situations.
4. Choose the optimal product mix when faced
with one constrained resource.
5. Explain the impact of cost of pricing
decisions.
17 -3
Objectives
6. Use linear programming to find the optimal
solution to a problem of multiple constrained
resources. (Appendix)
17 -4
Model for Making Tactical Decisions
Step 1. Recognize and define the problem.
Increase capacity for warehousing and production.
Step 2. Identify alternatives as possible solutions to
the problem; eliminate alternatives that are
clearly not feasible.
1. Build new facility
2. Lease larger facility; sublease current facility
3. Lease additional facility
4. Lease warehouse space
5. Buy shafts and brushings; free up needed space
Continued
17 -5
Model for Making Tactical Decisions
Step 3. Identify the costs and benefits associated with
each feasible alternative. Classify costs and
benefits as relevant or irrelevant, and eliminate
irrelevant ones from consideration.
Lease warehouse space:
Variable production costs
Warehouse lease
Buy shafts and bushings externally:
Purchase price
Continued
$345,000
135,000
$460,000
17 -6
Model for Making Tactical Decisions
Step 4. Total the relevant costs and benefits for each
alternative.
Lease warehouse space:
Variable production costs
$345,000
Warehouse lease
135,000
Total
$480,000
Buy shafts and bushings externally:
Purchase price
$460,000
Differential cost
$ 20,000
Continued
17 -7
Model for Making Tactical Decisions
Step 5. Assess qualitative factors.
Quality of shafts
1. Quality of external suppliers
and brushing is
significantly
Not reliablelower
2. Reliability of external suppliers
3. Price stability
4. Labor relations and community image
Step 6. Make the decision.
Continue to produce shafts and bushings internally;
lease warehouse
17 -8
Relevant Costs Defined
Relevant costs are future costs that differ
across alternatives. A cost must not only
be a future cost but most also differ
between alternatives.
17 -9
Flexible resources can be easily
purchased in the amount needed
and at the time of use… like
electricity.
17 -10
Committed resources are
purchased before they are used,
such as salaried employees.
17 -11
Activity Resource Usage Model and
Assessing Relevancy
Flexible Resources
a. Demand Changes
Relevant
b. Demand Constant
Not Relevant
17 -12
Activity Resource Usage Model and
Assessing Relevancy
Committed Resources
(Short-Term)
Supply – Demand = Unused Capacity
a.. Demand Increased < Unused Capacity
Not relevant
b. Demand Increased > Unused Capacity
Relevant
c. Demand Decease (Permanent)
1. Activity Capacity Reduced
2. Activity Capacity Unchanged
Relevant
Not Relevant
17 -13
Activity Resource Usage Model and
Assessing Relevancy
Committed Resources
(Multiperiod Capacity)
Supply – Demand = Unused Capacity
a.. Demand Increased < Unused Capacity
Not relevant
b. Demand Decreased (Permanent)
Relevant
c. Demand Increase > Unused Capacity
Capital Decision
Illustrative Examples of
Relevant Cost Applications
 Make or Buy
 Keep or Drop
 Special Order
 Sell or Process Further
 Product Mix
Important: Short-term Perspective
17 -14
17 -15
Make or Buy
Swasey Manufacturing currently produces an
electronic component used in one of its printers.
Swasey must produce 10,000 of these parts. The
firm has been approached by a supplier who
offers to build the component to Swasey’s
specifications for $4.75 per unit.
17 -16
Make or Buy
The full absorption cost for the 10,000 parts is
computed as follows:
Total Cost Unit Cost
Rental of equipment
$12,000
$1.20
Equipment depreciation
2,000
0.20
Direct materials
10,000
1.00
Direct labor
20,000
2.00
Variable overhead
8,000
0.80
General fixed overhead
30,000
3.00
Total
$82,000
$8.20
Enough material is on hand to make 5,000 parts.
17 -17
Make or Buy
The cost to make or buy 5,000 units follows:
Alternatives
Differential
Make
Buy Cost to Make
Rental of equipment
Direct materials
Direct labor
Variable overhead
Purchase cost
Receiving Dept. labor
Total
$12,000
5,000
20,000
8,000
------------$45,000
Make
------------------------$47,500
8,500
$56,000
$12,000
5,000
20,000
8,000
-47,500
- 8,500
$-11,000
17 -18
Keep-or-Drop Decisions
Norton Materials, Inc. produces concrete blocks, bricks, and roofing
tile. The controller prepared the following income statements:
Blocks Bricks Tile
Total
Sales revenue
$500
$800 $150 $1,450
Less: Variable expenses
250
480
140
870
Contribution margin
$250
$320 $ 30 $ 580
Less direct fixed expenses:
Advertising
$ 10
$ 10 $ 10 $ 30
Salaries
37
40
35
112
Depreciation
53
40
10
103
Total
$100
$ 90 $ 55 $ 245
Segment margin
$150
$230 $- 45 $ 335
Less: Common fixed exp.
125
Operating income
$ 210
17 -19
Keep-or-Drop Decisions
Keep
Sales
$150
Less: Variable expenses 140
Contribution margin
$ 10
Less: Advertising
-10
Cost of supervision -35
Total relevant benefit
(loss)
$- 35
Drop
---------------$ 0
Differential
Amount to Keep
$150
140
$ 10
-10
-35
$- 35
Preliminary figures indicate that the tile
segment should be dropped!
17 -20
Keep-or-Drop Decisions
Tom Blackburn determines that dropping the tile section will
reduce sales in all sections as follows: $50,000 for blocks,
$64,000 for bricks, and $150,000 for roofing tile. His
summary in thousands is shown below:
Differential
Keep
Drop Amount to Keep
Sales
$1,450 $1,186.0
$264.0
Less: Variable expenses
870
666.6
203.4
Contribution margin
$ 580 $ 519.4
$ 60.6
Less: Advertising
-30
-20.0
-10.0
Cost of supervision -112
-77.0
-35.0
Total
$ 438 $ 422.4
$ 15.6
Keep roofing tile segment!
17 -21
Keep-or-Drop Decisions
Alternate Use of Facilities
The marketing manager sees the market for floor tile as
stronger and less competitive than roof tile. He submits the
following figures for floor tile sales:
Sales
Less: Variable expenses
Contribution margin
Less: Direct fixed expenses
Segment margin
$100,000
40,000
$ 60,000
55,000
$ 5,000
17 -22
Keep-or-Drop Decisions
Alternate Use of Facilities
Drop and
Differential
Keep Replace Amount to Keep
Sales
$1,450 $1,286.00
$164.00
Less: Variable expenses
870
706.60
163.40
Contribution margin $ 580$1,450
$ 579.40
– $150 $ 0.60
–$50 –– $140
$64 +–
$870
$25 –$100
$38.40 +
Decision: Continue making
roof tile!
$40
17 -23
Special-Order Decisions
An ice cream company is
operating at 80 percent of its
productive capacity (20 million
half gallon units). The unit costs
associated with producing and
selling 16 million units are shown
on the next slide.
17 -24
Special-Order Decisions
Wholesale
price =
$2.00
Variable costs:
Dairy ingredients
Sugar
Flavoring
Direct labor
Packaging
Commissions
Distribution
Other
Total variable costs
Total fixed costs
Total costs
$ 0.70
0.10
0.15
0.25
0.20
0.02
0.03
0.05
$ 1.50
0.097
$1.597
17 -25
Special-Order Decisions
An ice cream distributor from a
geographic region not normally
served by the company has offered
to buy two million units at $1.55 per
unit, provided its own label can be
attached to the product. The
distributor has agreed to pay the
transportation cost.
17 -26
Special-Order Decisions
Which costs
are irrelevant?
Variable costs:
Dairy ingredients
Sugar
Flavoring
Direct labor
Packaging
Commissions
Distribution
Other
Total variable costs
Total fixed costs
Total costs
$0.70
0.10
0.15
0.25
0.20
0.02
0.03
0.05
$1.50
$1.45
0.097
$1.45
$1.597
17 -27
Special-Order Decisions
Which costs
are irrelevant?
Accept the
offer ($0.10 x
Variable
costs:
2,000,000
= $200,000
Dairy ingredients
more profit).
Sugar
Flavoring
Direct labor
Packaging
Commissions
Distribution
Other
Total variable costs
Total fixed costs
Total cost
$ 0.70
0.10
0.15
0.25
0.20
0.02
0.03
0.05
$$1.45
1.50
0.097
$1.45
$1.597
17 -28
Sell or Further Process
Yield at Split-Off
Further Processing
Grade A
800 lb
Sell for $0.40 lb
Joint Cost
$300
Grade B
600 lb
Bagged
120 Bags
Cost $0.05/Bag
Sell for $1.30/Bag
Grade C
600 lb
Applesauce
500 16-oz Cans
Cost $0.10/lb
Sell for $0.75 can
17 -29
Sell or Further Process
Revenues
Processing cost
Total
Process
Further
$450
120
$330
Sell
$150
---$150
Further process!
Differential Amount
to Process Further
$300
120
$180
Two Approaches to Pricing
1. Cost-Based Pricing
2. Target Costing and
Pricing
17 -30
17 -31
Cost-Based Pricing
Revenues
Cost of goods sold:
Direct materials
Direct labor
Overhead
Gross profit
Selling and administrative expenses
Operating income
$856,500
$489,750
140,000
84,000
713,750
$142,750
25,000
$117,750
Determining Markup Percentages
Markup on COGS =
(S & A expenses + Operating income) ÷ COGS
= ($25,000 + $117,750) ÷ $713,750
= 0.20
Markup on direct materials =
(DL + OH + S & A expenses + Oper. income) ÷ Direct mater. =
($140,000 + $84,000 + $25,000 + $117,750) ÷$489,750 = 0.749
17 -32
Determining Markup Percentages
Direct materials (computer components, etc.)
Direct labor (100 x 6 hours x $15)
Overhead (60 percent of direct labor cost)
Estimated cost of goods sold
Plus 20 percent markup of COGS
Bid price
$100,000
9,000
5,400
$114,400
22,880
$137,280
17 -33
Target Costing and Pricing
Target costing is a method of determining the cost of a
product or service based on the price (target price) that
customers are willing to pay.
This is referred to as price-driven costing.
17 -34
17 -35
Legal Aspects of Pricing
Predatory pricing. The practice of setting prices
below cost for the purpose of injuring or
eliminating competitors.
Price discrimination. Charging different prices to
different customers for essentially the same
product.
The Robinson-Patman Act is the most potent
weapon against price discrimination, but it doesn’t
cover services and intangibles.
17 -36
Linear Programming
The maximum demand for Gear X is 15,000 units and
the maximum demand for Gear Y is 40,000 units. The
contribution margin for X is $25 and for Y is $10.
Z = $25X x $10Y
Two machine hours are used for each unit of Gear X,
and 0.5 machine hour is used for a unit of Gear Y.
2X + 0.5Y  40,000
17 -37
Linear Programming
Max. Z = $25X x $10Y
Subject to:
2X + 0.5Y  40,000
X  15,000
Y  40,000
X0
Y0
17 -38
80 –
75 – Machine Hours Constraint
2X + 0.5Y  40,000
70 –
65 –
60 –
Demand Constraint
55 –
X  15,000
50 –
45 –
E
D
40 –
Demand Constraint
35 –
Y  40,000
30 –
25 –
C
20 – Feasibility
15 – Region
10 –
5–
B
A |
|
|
|
|
0–
5
10
15
20
25
17 -39
Linear Programming
Corner Point
A
B
C
D
E
X-Value
0
15
15
10
0
Y-Value
0
0
20
40
40
Z = $25X + $10Y
$ 0
375
575
650
400
Manufacture 10,000 units of Gear X and 40,000 of
Gear Y.
17 -40
Chapter Seventeen
The End
17 -41