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October 1997 Volume 7 Number 10
ABC Analysis
The First Steps In Inventory Control
By Steven A. Melnyk & R.T. "Chris"
Christensen
In the last article, we introduced you to the
basics of ABC analysis. Underlying this basic and simple
technique are some very important issues. The first is that
all items are not equally important. Some items are very
important and they should be monitored carefully. Other
items are not very important. With these items, the basic
rule should be that of never stocking out. The second is
that the basic method for identifying these items is through
the use of Pareto Analysis. This technique emphasizes the
general principle that 80 percent of the problems can be
attributed to 20 percent or fewer of the items/issues. One
basis for identifying importance is to focus on each item's
value as defined in terms of the percentage of the total
dollar usage that that specific item accounts for. To
determine this number, we multiply the annual quantity usage
times the cost per item (and then sum across all items to
get the total dollar usage). Finally, we left you with a
small assignment that of actually carrying out an ABC
analysis for a small system.
In this month's column, we complete our overview of ABC
analysis. We also show how ABC analysis can be adjusted to
consider costs. For the next six months, you can expect the
following topics to be covered in this column:
- What are we? We deal with the question of how
management determines whether its firm is project, job
shop, repetitive or continuous. This is an important
issue and frequently encountered when managers use the
various surveys produced by this magazine. Within these
surveys, the software vendors identify the
appropriateness of their packages (i.e., whether they are
appropriate for job shops, assembly line and process).
Some managers have encountered problems in identifying
what type of firm they are.
- When are cost savings not cost savings? In this
article, we will look at the name of cost savings. We
show that some are true cost savings, while others
pertain only to opportunity cost savings.
- Developing an understanding of lead times under
various settings and conditions. We will use four
articles to come to grips with this very elusive concept.
In these last articles, we will see the contributions of
Randall Schaefer.
Doing the ABC analysis The answer
The first item of business is that of providing the
answer to the problem assignment from last month. Well, here
it is.
|
SKU
|
Unit Cost
|
Annual Usage
|
Total Annual
|
%
|
Rank
|
ABC Class
|
|
1
|
0.05
|
50,000
|
$2,500
|
38.6
|
2
|
A
|
|
2
|
0.11
|
2,000
|
$220
|
3.4
|
5
|
B
|
|
3
|
0.16
|
400
|
$64
|
1.0
|
7
|
C
|
|
4
|
0.08
|
700
|
$56
|
0.9
|
9
|
C
|
|
5
|
0.07
|
800
|
$336
|
5.2
|
4
|
B
|
|
6
|
0.15
|
1,300
|
$195
|
3.0
|
6
|
B
|
|
7
|
0.15
|
17,000
|
$2,250
|
39.4
|
1
|
A
|
|
8
|
0.20
|
300
|
$60
|
0.9
|
8
|
C
|
|
9
|
0.09
|
5,000
|
$450
|
6.9
|
3
|
B
|
|
10
|
0.12
|
400
|
$48
|
0.7
|
10
|
C
|
|
|
$6479
|
|
Other factors
In this case, we see that there are two As, four Bs and
four Cs. Is this the end of it? Not really. The analysis
that we have done is based strictly on numerical or
quantitative analysis. Ignored are such factors as:
- Lead time (the longer the lead time, the more closely
that we have to monitor the item. Thus a C item might
become either a B or A item).
- Volatility of design/engineering changes (the more
frequent the changes, the more closely the item must be
monitored because of the threat of obsolete inventory).
- Storage/special requirements (the more extensive the
storage requirements, the more likely it is that we will
have to monitor the item more closely).
- Perishability (the shorter the shelf life of the
item, the more closely it will have to be monitored).
As a result, any of these factors (to name a few) could
cause an item to go from being a C to being either a B or an
A class item.
Introducing costs
To this point, we have focused only on the demand side
of inventory. What has been ignored is that of costs. When
dealing with ABC analysis, the major cost is that of the
storage space occupied by the items. This is, in reality, an
opportunity cost. The space that each item occupies could be
used to store other more valuable items, or it
could be used for production. One method of assigning this
cost is to examine the space occupied by each item and the
cost per square foot (this number can be frequently obtained
from accounting). Multiplying the two together yields the
cost of physically storing that item in inventory. We next
take this number and subtract it from its annual dollar
usage. The result is a number that can be either positive or
negative. If positive, the number tells us that the annual
usage exceeds the costs of storage. If negative, we know
that the annual storage costs are greater than the annual
usage. So what? Well, if the resulting number is negative,
then we are faced with an item that costs us more to store
than its usage justifies. In such cases, we might explore
either dropping the item or having our suppliers (if
possible) take responsibility for managing it. In any case,
we have identified a candidate for eliminating or
rethinking.
Lessons learned
This article has been fairly focused, in that we have
dealt with the following lessons:
- We have learned how to carry out an ABC analysis.
- We have learned that the ultimate category reflects
both the quantitative and qualitative considerations.
- We have shown that by including costs of storage into
the analysis, through the assignment of costs for floor
space, we can identify candidates for elimination,
rethinking, (i.e., redesign) or assignment to a vendor
for control.
Next month, we look at identifying the category to which
a firm can assign itself (i.e., job shop, project,
repetitive or continuous/flow).
Steven A. Melnyk, Ph.D., CPIM, is software editor for
APICSThe Performance Advantage. He is also an
instructor in the Department of Marketing and Supply Chain
Management at Michigan State University in East Lansing.
R.T. "Chris" Christensen is the director of the executive
education program at the University of Wisconsin,
Madison.

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