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M
A S I
M A N A G E R I A L R A T I O S
by
H A N S J E S S E N
The Technical University
of Denmark
November 1982
AMT Publication
DI.82.85-A
.
ABSTRACT
In order to determine
managerial ratios as mathematical analytical functions of time there has been
developed a graphical model of a firm. This model shows the physical
relationship between fundamental principles of bookkee- ping, operating
statements and managerial economics. The model is the structural basis of
the determination of the mathematical analytical functions for management.
The analytical
background of traditional ratio techniqu- es, including, Bela Gold lit. 40
and the Dupont pyramid, is described by means of a new developed general
manage-rial ratio funktion.
.
- I -
CONTENTS
Page
Sumary V
Preface VI
Part A:
CHAPTER A
1. An analytical business model 1
1.1. Introduction 1
1.1.1. S. Eilon's model 1
1.1.1.1. Functional relationships and assumptions 3
1.1.1.1.1. Change in the cost structure 7
1.1.1.1.2. Change in the earnings structure 13
1.1.2. Assessment of S. Eilon's
model
18
Part B:
CHAPTER_B
2.
An analytical graphical
business model 20
2.1. Activity parameters 20
2.1.1. Sales
20
2.1.2. Purchases 20
2.1.3. Inventories 22
2.2. Payment parameters, operations
2.2.1. Sales
22
2.2.2. Purchases
23
2.3. Market parameters, sales 23
2.3.1. Cash sales ratio q 23
2.3.2.
The price p 24
2.3.3. Debit time dD 24
2.4. Market parameters, purchases 25
2.4.l. Cash purchases ratio
e 25
2.4.2. The price q1 of raw materials 26
2.4.3.
The price q2
of labor hours 26
2.4.4 Credit time dK 27
- II -
3.1. Income statement 28
3.1.1.
Sales of goods 28
3.1.2.
Costs 29
3.1.2.1.
Inventories, additions (with signs) 30
3.1.3. Resource consumption (incl. F'i,1) 33
3.1.4.
Operating profit (before interest and deprec.) 33
3.1.5.
Operating profit incl. inventory deprec. 33
4.1. Chanqe in liquidity (operations) 35
5.1. Cash balance 36
5.2. Bank loans 36
5.3. Loans (long-term) 37
6.1. Investment (in fixed capital)
38
7.1. Depreciation (for tax purposes) 39
8.1. Interest (for tax purposes)
40
9.1. Tax pavments 4O
10.1. Principal ratios 41
10.1.1.
Operating profit 0'(t) 41
10.1.2.
Change in liquidity l'(t) 42
10.1.3.
Working capital K(t)
43
10.1.4. Contribution ratio DG(t) 43
10.1.5.
Depreciation 44
10.1.6. Interest r'BL(t) 44
.
- III -
CHAPTER C
11. An analytical mathematical businessmodel 45
11.1. Physical and financial functions i the
operating
system
45
11.1.1. Sales
45
11.1.2. Inventories 46
11.1.3. Output 50
l1.1.4. Sales, ingoing payments 50
11.1.5. Purchases, outgoing payments
51
11.1.6. Change in liquidity 52
11.2. Capital tied up in the operating
system 52
11.2.1. Trade accounts receivable 52
11.2.2. Trade accounts payable 53
11.2.3. Raw materials invefitory 53
11.2.4. Finished goods inventory 54
11.2.5. Working capital (tied up in the operating system
54
12.1. Operatinq profit (for accountinq purposes) 55
12.2. Operating profit (computed on the
basis of Fig. 2.1.) 56
12.2.1. Operating profit incl. inventory depreciation
58
12.3.1. Bank loans
59
12.3.2. Loans (long term) 60
12.3.3.
Investments 60
12.4.1. Interest payments 61
12.4.2. Depreciation 61
12.4.3. Tax payments 61
12.4.4. Cash flow released 62
12.4.4.1.
Interest relative 63
12.4.4.2.
Depreciation relative 63
.
- IV -
13.1. Traditional ratios 64
13.1.1 Contribution ratio 64
13.1.2. Profit ratio 64
13.1.3. Break-even sales 64
13.1.4. Margin of safety 65
13.1.5. Applications, examples 65
13.2. Dupont pyramid 66
13.2.1 Ratio mathematics, general
68
CONCLUSION
7O
BIBLIOGRAPHY 72
.
- V -
SUMMARY
For the determination of ratios as
analytical mathematical functions of time a graphical model of a firm has
been developed. This model is a graphical representation of the
relationships between fundamental aspects of the firm relating to
book-keeping (records), accounting and managerial economics. The model
forms the basis of the following deve- lopment of analytical mathematical
functions. The mathematical back-ground of traditional ratio techniques,
including Bela Gold lit. 40 and the Dupont pyramid, is shown through the
development of a general ratio function.
Lyngby, November 1982
.
- VI -
PREFACE
The existing literature on accountancy
and managerial economics has ma- de several attempts to improve the
theoretical basis in order to provide management with a better understanding
of business management possibili- ties.
In lit. 20, Albert Danielsson is dealing
solely with purely analytical
aspects in relation to costs of
production, and he has in that connec- tion developed symbolic flow charts
for analysis purposes. This work seems to be of a very special character
and not suited for overall ma- nagement purposes where the firm is to be
seen as a whole. Links to inventories and the market are, for instance,
missing.
Bela Gold, lit. 40, attempts to
generalise accounting ratios in a tech-nical structure which includes
managerial ratios. This technique seems to be very practicable but only for
partial global business analyses. In this thesis a theoretical analysis of
general ratios will be made, in-cluding the Dupont pyramid and including,
in particular, Bela Gold's ratio technique.
J. W. Forrester, lit. 37, provides with
his special representation
technique based on computer technology an
excellent basis for analy- sing company behavlour. It gives, in a certain
degree, a good insight into the behavlour of a firm in situations with
different external and internal influences. Also here a fundamental
mathematical model for purely analytical purposes is missing.
Dan Ahlmark, lit. 1, stresses the
necessity of developing an analysis
model of the business which makes it
possible to consider the current
integrated process, production,
investment, financing activities of the business. To illustrate this need,
an extensive empirical business ana- lysis is made, using generally known
simulation techniques.
.
- VII -
Finn C. Sørensen, lit. 97, finds in his
review of traditional accoun-
ting methods that a model should be
developed for man agement which is
suitable for illustrating general matters
in the firm, i.e. form the
basis of an actual managerial audit. By
this is meant an examination of activities and matters underlying the
financial/accounting report.
Samuel Eilon, lit. 30, attempts with his
mathematical model to compute
the rate of return as a function of
general business parameters, using, among other things, a symbolic
graphical representation technique to de-scribe the inter relationships of
the equations. This work seems to be the most interesting work in the
literature seen in relation to the de- velopment of a generalised business
analysis model.
Using the literature reviewed as a
starting point with special impor-
tance being attached to the above
authors, the structure and field of
applications of Eilon's model in lit. 30
will be analysed in detail.
After this analysis, a graphical
analytical business model is developed in Chapter B including book keeping,
accounting and financial concepts to be employed by the business
management. Using this model it is possi-ble to carry out an actual
managerial audit as described by Finn C. Sø- rensen, among others.
Chapter C defines an analytical
mathematical business model based on the general graphical structure shown
in Chapter B. As a special starting point is taken the fact that any sales curve
may be composed of a piece- wise linear function. The basic element of the
sales function is thus chosen as a linear function of time.
Based on the developed mathematical
functions the most common accounting ratios are computed as a function of
time.
.
- VIII -
Bela Gold's ratio technique is examined
more ciosely, using general ma-thematical ratio functions developed in this
report, and an attempt is made to explain it by means of these functions,
which are also used to illustrate
the technical background of the computation of the rate of return in the
Dupont pyramid.
.
C
H A P T E R A
.
- 1 -
1.
An analytical business model
1.1.
Introduction
During the mentioned review of the
litterature only one source was found, which was suitable for forming the
basis of the development of
the general mathematical business model
in Chapters B and C. This sour- ce was Samuel Eilon's article in OMEGA
1997, Vol. 5, No. 6: "A Profita- bility Model for Tactical
Planning", lit. 30.
In the following the mentioned article
will therefore be discussed as
an introduction to the analytical
mathematical business model in Chap-
ter C.
1.1.1
S. Eilon's model
The article starts by pointing out that
simple models reflecting aggre- gate company behaviour in response to
changes imposed by management de- cisions and/or outside factors provide
useful tools for management for tactical planning purposes.
As his starting point, Eilon takes the
rate of return r expressed as:
(p - c)V
r = ¾¾¾¾¾
(1)
I
or
earnings
r =
¾¾¾¾¾¾¾¾¾¾¾ (2)
total investment
where
.
- 2 -
p = unit price per unit of output
c = unit cost per unit of output
V = output units per time unit
I = total investment
Attention is drawn to the fact that for macro
economic purposes it is
possible to compute the ratio r from the
definition equation (2) and
thus obtain information on an industry's
"profitability".
Equation (1) is a micro economic
rewriting of (2) based on "logical"
considerations. The numerator in equation
(1) is fairly well defined,
also in a micro economic model, but the
denominator I, total assets,
which serves the main purpose, is
difficult to determine in practice.
Additions to and disposals of assets as
well as changes in the market
value of these assets take place
currently.
The practical purpose of the computation
of the rate of return is a
desire to obtain an equivalent measure of
the return on investment. It
appears from the above that in practice
the com putation of r involves
great uncertainty so that r is a
relatively uncertain measure of profi- tability. If the following
definitions are now introduced
dp dc dI
p* = ¾¾¾ ;
c*
= ¾¾¾ ; I* = ¾¾¾ ,
p d I
where the changes dp, dc, dV and dI are
given, equation (1) can be
transformed into
1 1 + V*
r* = ¾¾¾¾¾¾ (¾¾¾¾¾ (p* - (1 - a) c*) + V* - I*) (3)
1 + I* a
.
- 3 -
p - c
given definition a = ¾¾¾¾¾ = the relative
profit margin.
p
As regards equation (3), S. Eilon
observes that it is an analytical tool for assessing the effects on r of
changes of the variables of the
right hand side.
In practice, a functional inter
relationship exists very often between
these variables; a later change in the
selling price or the cost price will, for instance, bring about changes not
only in investments (in
the working capital) but also in demand
and hence output.
1.1.1.1.
Functional relationships and assumptions
Eilon assigns to the cost c per output
unit the following conventional
functional expression:
F J
c = s + ¾¾ + ¾¾ (4)
V V
where
s represents direct
unit costs
F
¾¾ represents indiret unit costs excl. interest
V
J
¾¾ represents interest
charge per unit.
V
Equation (4) is a so called traditional
economic calculation of total
unit costs. It should, however, be noted
that from a general accoun-
ting point of view there is no real
justification for equation (4). It
is simply an appropriate formula for the
unit cost function in relati-
on to the traditional theory of
managerial economics, which makes it
possible to carry out simple partial
operations research computations
.
- 4 -
concerning, for instance, profit
maximization in relation to various
alter natives.
The stressing of the point that equation (4)
has no real physical ju-
stification is due to the fact that
equation (4) is a simple transfor- mation of equations (5) and (6).
TO = c V (5)
TO = s V + F + J (6)
Equation (5) is here a purely non
physical definition equation (addi-
tion of simple "krone amounts")
for the total costs TO specified via
the definition equation (6). It will be
seen that these definition equa- tions give rise to problems in connection
with the physical interpreta- tion. What is, for instance, meant by fixed
costs, and how are they de- fned in relation to, say, the interest charges
J ?
A transformation of equation (4) using
the definitions s = f1 c , F/V
= f2 c and J/V = f3 c gives
1
c* = f1 s* + ¾¾¾¾¾(f2 F* + f3 J* - (1 - f1) V*) (7)
1 + V*
This equation (7) shows that with a good
approximation we have:
c* = f1 s* + f2 F* + f3 J* - (1 - f1) V* (8)
Interpretation of the contents of, for
example, (8) will show that the
percentage change of the unit costs is
equal to the weighted sum of the percentage change of s, F, J and V.
.
- 5 -
Concerning investments I, S. Eilon
assumes:
IW = A + B (9)
I = IW + IF (10)
where
IW = the working capital
IF = investment in fixed assets
B
= bank loans + overdrafts
A
= other loans
S. Eilon also defines:
w = IW/I (10a)
l = B/IW (10b)
J = j B , where j is the interest rate (lOc)
Equation (10) can now be transformed
into:
I* = w I*W + (1 - w)I*F
(11)
Equation (9) can be transformed into:
I*W = (1 - l) A* + l B* (12)
A combination of equation (12) and
equation (11) will take the form:
I* = w ((1 - l) A* + l B*) + (1 - w) I*F (13)
For use in the actual planning process of
the business, S. Eilon assu-
mes that
.
- 6 -
I*F = 0 (14)
and
A* = 0
(15)
It is also assumed that w and l are constant (the artiticle does not
mention this explicitly).
Based on the mentioned assumptions
equations (12) and (13) are then
reduced to
I*W = l B* (16)
and
I* = w l B* (17)
gives the conditions (14) and (15).
In connection with the determination of
changes in the working capital
IW, S. Eilon writes:
"No single relationship between
working capital and the 1evel of ac-
tivity in the firm is universally
accepted and we may proceed to ex-
plore two possible assumptions."
These two assumptions are combined as a
linear combination
I*W = g (p v)* + h(c V)* (18)
which denotes that the working capital
(tied up in the operating sy-
stem is changed as a linear combination
of the change in sales and the
change in cost. S. Eilon claims that no
controller has difficulty in
determining empirically the constants g
and h. It must therefore be
.
- 7 -
possible to find a physical model which describes
these empirical facts. A mathematical analytical solution to this problem
is described
in Chapter C.
S. Eilon proceeds to consider three cases
which are relevant for tac-
tical planning purposes:
1. Change of s, F and j
2. Change of V
3. Change of p
In the first case changes in the cost
structure are considered. The
following two cases deal with changes in
sales and changes in the mar-
ket price, i.e. two situations where the
earnings structure is chan-
ged. However, as regards cases 2 and 3,
it is natural to describe them
together as will be seen later. The
things to be discussed are therefo- re as follows:
1. Change in the cost structure caused by
changes in s, F and j.
2. Change in the earnings structure
caused by changes in V given the
market elasticity e.
1.1.1.1.1. Change in the cost structure
Attention is drawn to the fact that in
his case 1 S. Eilon discusses
an iterative process, physical and
mathematical, in connection with the final computation of c*. From a physical point of
view, this is in full accordance with the accounting theory, as will be
shown later in the ge- neral mathematical business model. S. Eilon attempts
to provide this "fact" of the expressions de scribed here through the mathematical
convergence in the computation of total unit costs as shown in the article.
In this respect, however, it does not seem to be a good idea to combine
physical and mathematical facts too much since, as has already been
- 8 -
mentioned, S. Eilon employs a non
physical definition of unit costs (see equation (4), which highly weakens
the foundation of Eilon's conclusi- ons.
S. Eilon elaborates on this definiton of
the unit cost, one of the prin- ciples of traditional theories of
managerial economics, in case 1. It is exactly these conflicts between the
physical conditions in the firm and the traditional theory of managerial
economics which have caused the de- velopment of the mathematical business
model described in Chapter C.
With a view to solving the existing
mathematical problem, equation
(1Oc) is transformed into:
J* = j* + (1 + j*) B* (2o)
The mathematical problem can now be
solved by means of the followinq
previously shown equations (7), (16) and
(18) together with the reated conditions:
Equations:
1
c* = f1 s* + ¾¾¾¾ (f2 F* + f3 J* - (1 - f1) V*) (21)
1 + V*
J* = j* + (1 + j*) B*
(22)
I*W = l B* (23)
I*W = g(p v)* + h(c v)* (24)
.
- 9 -
given the conditions
V* = 0 (25)
p* = 0
(26)
A solution is obtained as follows:
From equation (24) with the conditions
(25) and (26) it follows that
I*W = h c* (27)
Equation (27) and (23) give
h
B* = ¾¾
c* (28)
l
A combination of equation (28) and (22)
gives
h
J* = j* + (1 + j*) ¾¾ c* (29)
l
A combination of equation (29) and (21)
gives
f1
s* + f2 F* + f3 j*
c* = ¾¾¾¾¾¾¾¾¾¾¾¾¾¾ (30)
h
1 - (1 + j*) ¾¾ f3
l
In equation (30) the question is raised
whether
h
(1 + j*) ¾¾ f3 < 1
l
has been satisfied as, in practice,
equation (lOb) shows that
1 IW
¾¾ = ¾¾
l B
.
- l0 -
Normally will IW < B, hence
1
¾¾ < 1
l
As typically in practice h < 1, f3 < 0.5 and (1 + j*) < 1.5, inequa1ity
(31) gives
h 1
(1 + j*) ¾¾ f3 < 1,2 ¾¾ 0.5
l 1
or
h
(1 + j*) ¾¾ f3 < 0.6
l
From this will be seen that, in practice,
inequality (31) has been sa-
tisfied.
S. Eilon introduces a new ratio H = IW /(c V) for the purpose
showing
that inequality (31) has been satisfied
in practice. This seems to be
a purely mathematical exercise without
any relevant justification phy-
sically. It is once more pointed out that
S. Eilon overinterprets the
mathematical consequences of the use of
the equation (4) defined on the basis of managerial economics.
For the purpose of computing the rate of
return the equations (3),
(lOa) and (18) are used to solve the
equations:
1 1 + V*
r* = ¾¾¾¾¾ (¾¾¾¾¾(p* - (1 - a) c*) + V* - I*) (32)
1 + I* a
1
I =
¾¾ IW (33)
w
.
- 11 -
I*W = g(p V)* + h(c v)* (34)
with the conditions:
f1
s* + f2 F* + f3 j*
c* = ¾¾¾¾¾¾¾¾¾¾¾¾¾¾ (35)
h
1 - (1 + j*) ¾¾ f3
l
V* = 0
(36)
p* = 0
(37)
Equation (34) gives, cf. equation (27)
I*W = h c* (38)
Equation (33) is transformed into
I* = w I*W (39)
Equatioin (38) combined with equation
(39) gives
I* = w h c* (40)
Equation (32) gives with equation (40)
and the conditions (35),
(36) and (37) the following expression
c*
1 - a
r* = - ¾¾¾¾¾¾¾¾ (¾¾¾¾¾ h w ) (41)
1 + w h c* a
given
f1 s* + f2 F* + f3 j*
c* = ¾¾¾¾¾¾¾¾¾¾¾¾¾¾ (30)
h
1 - (1 + j*) ¾¾ f3
l
.
- 12 -
As regards equation (30) it should be
noted that S. Eilon finds it
"justified" to define a
quantity
c*0 = f1 s* + f2 F* + f3 j* (42)
as unit costs, if h = 0, i.e. if no
changes occur in the working ca-
pital with the given conditions V* = O and p* = 0 , cf. equa tion (38).
Equation (35) now takes the form
c*0
c* = ¾¾¾¾¾¾¾¾¾¾¾¾¾¾ (30)
h
1 - (1 + j*) ¾¾ f3
l
given
c*0 = f1 s* + f2 F* + f3 j*
Further, on the basis of the denominator
in equation (43), S. Eilon
defines a ratio u as he seems to find it
desirabie that all ratios oc-
cur in product form. For instance, as
mentioned previously in this
connection, he also defines the ratio H =
IW/(c V), which from the
point of view of accounting theory is a
very specific concept.
A look at equation (43) will show that it
takes the form of "ratios",
i.e. it contains dimensionless
quantities, which are all ratios in the
firm. Therefore, it does not seem to be a
very desirable measure to
introduce further ratios to give the equa tion a changed algebraic
structure.
However, for analytical purposes in
connection with an analysis of the
numerical "behaviour" of
equation (43) it may be useful to define a
parameter x given by
.
- 13 -
h
x =
(1 + j*) ¾¾ f3 (44)
l
so that equation (43) is transformed into
c*0
c* = ¾¾¾¾¾ (45)
1 - x
given
h
x =
(1 + j*) ¾¾ f3 (46)
l
and
c*0 = f1 s* + f2 F* + f3 j* (47)
Thus, by a preliminary nurnerical
analysis of (45), x may be a11owed
to vary in the interval 0 < x < 1.
It should be noted that x is here a
parameter. In the second phase of such an
anal ysis a numerical ana- lysis of
equation (46) can be carried out, given certain selected va- lues of x.
1.1.2.1.2. Change in the earnings structure
In this case where management wishes to
consider the influence of the
market on the rate of return, etc., the
following expression is assu-
med to apply
V* = - e p* (48)
given p*.
.
- 14 -
The problem is thus given by the
equations
1
c* = f1 s* + ¾¾¾¾¾ (f2 F* + f3 J* - (1 - f1) V*) (49)
1 + V*
J* = j* + (1 + j*) l B*
(50)
I*W = l B* (51)
I* = g(p V)* + h(c V)*
(52)
with the conditions:
s* = 0 (53)
F* = 0
(54)
j* = 0
(55)
V* = - e p* (56)
Here equation (52) is transformed into
I*W = (g + h)V* + (g p* + h c*)(1 + V*) (56a)
After the transformation of the above
equations and with the above
conditions the following equations are
developed:
1
c* = ¾¾¾¾¾ (f3 B* - (1 - f1) V*) (57)
1 + V*
1
B* =
¾¾((g + h) V* + (g p* + h c*)(1 + V*)) (58)
l
given the condition V* = - e p* (59)
.
- 15 -
Now equations (57), (58) and (59) give by
simple reduction
e
p*
1 f3
c* = (1 - f1) ¾¾¾¾¾ ¾¾¾¾¾¾¾¾¾¾ (1 - ¾¾¾¾¾¾¾
1 - e
p* f3 (1 - f1) l
1 - ¾¾¾ h
l
(h + g(1 + p* - e-1))) (60)
given the conditions
s* = 0
(61)
F* = 0 (62)
j* = 0
(63)
V* = - e p* (64)
In connection with the practical use of equation
(60) it might be de-
sirable to define a change in the unit
cost cx* given by
e
p*
c*x = (1 - f1) ¾¾¾¾¾¾ (65)
1 - e
p*
which has been obtained by putting s* = 0, F* = 0 and J* = 0 in equati- on (7). c*x can here be interpreted as
the change in the unit cost if the only thing to be considered is a change
in the price p.
Moreover, from equation (60) can be
defined
g
y = ¾¾¾
h
which may be interpreted as the need of
investment in the working ca-
pital caused by sales in relation to
caused by costs (see equation (18)).
.
- 16 -
The system of equations (60) .... (64) is
now given the form
c*x x
c* = ¾¾¾¾ (1 - ¾¾¾¾ (1 + y(1
+ p* - e-1))) (66)
1 - x 1 - f1
given the conditions
h
x =
(1 + j*) ¾¾ f3 (67)
l
g
y = ¾¾¾
h
Using equations (3), (17), (57) and (60)
.... (64) the following sy -
stem of equations can now be defined for
the determination of the rate
of return.
Equation:
1 1 -
e p*
r* = ¾¾¾¾¾¾¾ (¾¾¾¾¾¾ (p* - (1 - a) c*) - e p* - w I*W) (69)
1 + w I*W a
given the conditions
s* = 0
(70)
F* = 0
(71)
j* = 0
(72)
V* = - e p* (73)
I*W = (g + h)V* + (g p* + h c*)(1 + V*) (74)
e
p* 1 f3
c* = (1 - f1) ¾¾¾¾¾ ¾¾¾¾¾¾¾¾¾¾ (1 - ¾¾¾¾¾¾¾
1 - e
p* f3 (1 - f1) l
1 - ¾¾¾ h
l
(h + g(1 + p* - e-1))) (75)
.
- 17 -
If changes are recorded only in V, the following
system of equations
is obtained by replacing p* with V* and putting p* = 0 and e-1 = 0 in
the above equations:
V* 1 f3
c* = - (1 - f1) ¾¾¾¾¾ ¾¾¾¾¾¾¾¾¾¾ (1 - ¾¾¾¾¾¾¾
1 - V* f3 (1 - f1) l
1 - ¾¾¾ h
l
(h + g)) (76)
given the conditions
s* = 0 (77)
F* = 0
(78)
j* = 0
(79)
e-1 = 0
(80)
p* = 0 (81)
and the system of equations:
1
1 - a
r* = ¾¾¾¾¾¾¾ (V* - ¾¾¾¾¾ (1 + V*) c* + w I*W) (82)
1 + w I*W a
given the conditions
s* = 0 (83)
F* = 0
(84)
j* = 0
(85)
I*W = (g + h(1 + c*)) V* + h c* (86)
V* 1 f3
c* = - (1 - f1) ¾¾¾¾¾ ¾¾¾¾¾¾¾¾¾¾ (1 - ¾¾¾¾¾¾¾
1 - V* f3 (1 - f1) l
1 - ¾¾¾ h
l
(h + g)) (87)
Attention is called to the fact that the
resuits in this Chapter dif-
fer from S. Eilon's results in cases 2
and 3. The following Chapter
will indude a general discussion of S. Eilon's
results and models in
the light of the results achieved here.
- 18 -
1.1.2. Assesment of S. Eilon's model
It has already been pointed out that the
basis of S. Eilon's model gi- ves rise to the question as to whether it
serves any purpose to carry out these computations and at the same time
attach such fundamental importance to the models shown in the article in
relation to the phy- sical business situation.
Thus, S. Eilon assumes that eguation
(4) is fundamental, i.e. a funda- mental starting point for
considerations based on managerial economies. With reference to eguations
(5) and (6) it was stated that this is a point of view which should be
examined more closely. This examination leads to the point that eguation
(4) is a purely mathematical definition equation, i.e. an equation which
is not founded on real physical facts (equation (6)'s right hand side
consists of a sum of elements of widely differing physical origin with only
one thing in
common: the value "DKK").
Owing to the mathematical structure of
equation (4) it will mathema-
d J(V)
tically be convergent as where U £ ¾¾¾ (¾¾¾)
£ K , in practice U
dV V
and K are constants. The physical
convergence also exists in connec- tion with the changes in the tactical
planning process (transients) under consideration. It should be noted that
the mathematical model shows the relationships between changes in
states" (i.e. time is not included explicitly) with the related
mathematical characteristics of the manner of converging. The physical
activity/cash flow model of the business is knovn also in practice to
possess convergent characteri- stics as a function of time. See chapter C.
Against this background it is important
not to attach too great impor-
tance here to the applicability of S.
Eilon's model to an interpreta-
tion of the dynamics of the firm (for
tactical planning purposes).
Thus, the mathematical business model,
Chapter C, is not to take state
functions as its starting point but only
use a time description of the
functions.
.
- 19 -
The graphical description used by S.
Eilon can only be regarded as a
dear description of the equations between
the individual variable.
being studied.
In Chapter B a physical model description
of the business will the-
refore be given first, the greatest
importance being attached to ma-
king the physical/financial description
as realistic as possible. Af-
ter this the mathematical déscription is
developed in Chapter C.
The results achieved in the present
Chapter A differ from S. Eilon's
results as far as computations of the
effects of changes in the ear-
nings structure are concerned. It is
pointed out that S. Eilon's un-
structuralized consideration of the
mathematical methods of solution
may be the reason for the deviating
results in the article.
The central equation (18), which
estimates the relationship between the working capital tied up in the
operating system, will be analysed in detail in Chapter C.
.
C H A P T E R
B
.
- 20 -
2.
An analytical graphical business model
This Chapter describes an analytical graphical
business model (see Fig. 2.1.). This model will form the basis of a
mathematical analytical description of the business so that this
description can be used by the business management for their principal
planning activities. The model will integrate principal elements of
managerial economics and the ac- counting theory, it being assumed that the
business comprises an acti- vity/cash flow and related principal assets
(accounts payable, accounts receivable, inventories). It is management's
task to achieve the best possible composition of this general structure by
using some of the ra- tios defined in the model.
2.1. Activity
parameters
2.1.1. Sales
The volume of goods sold by the firm per
unit is denoted with S'u. Sales are here divided into
two main components of which one is the reference sales S'u,kon, which refers to the share of
sales which is paid for in cash. The other component of sales is denoted
with S'u,deb,which refers to the share of
sales which is paid for by the trade accounts receivable the debit time
deltaD
after delivery
from the firm. Here the following eguation applies:
S'u(t) = S'u,deb(t) + S'u,kon(t)
(88)
2.1.2.
Purchases
The firm is supplied with a number of
labor hours per time unit a'i.
The firm is supplied with the volume of
goods per time unit V'i. This flow of goods consists
of two main components of which one is the refe- rence purchase V'i,kon, and the other the goods
purchased on credit V'i,kre, which are paid for by the
firm after the credit time dK.
- 21 -

Figure
2.1
(Click
on the figure for 200%)
.
- 22 -
The following equation applies:
V'i(t) = V'i,kre(t) + V'i,kon(t) (89)
The firm is supplied with the fixed
volume of resources per time unit F'i. This flow of resources may,
for example, include electricity, administration, heating, rent, etc.
2.1.3.
Inventories
The
volume of raw materials per time unit Q'i is added to the raw mate-
rials inventory consisting of the volume
RL. From the raw materials in-
ventory is deduced the raw materials volume Q'u. The following equation
applies here:
t
RL = ò (Q'i(t) - Q'u(t))dt
(90)
0
The
volume of finished goods per time unit Z'i is added to the finished
goods
inventory consisting of the volume FL. From the finished goods
inventory is deduced the finished goods
volume Z'u. The following equa- tion applies here:
t
FL = ò(Z'i(t) - Z'u(t))dt
(91)
0
2.2. Payment parameters, operations
2.2.1. Sales
The total volume of means of payment per
time unit from the customers is denoted with S'i. This payments flow consists
of two components. One component is the payments flow S'i,kon stemming from the cash sales
flow
S'u,kon. The other component S'i,deb is the payments flow stemming
from the credit sales flow S'u,deb. Here the following equation
applies:
S'i(t) = S'i,kon(t) + S'i,deb(t)
(92)
.
- 23 -
2.2.2. Purchases
The total volume of means of payment per
time unit for operations is denoted with U'b. This payments flow is
composed of three components, a'b and V'b and F'b. a'b is the payments flow
corresponding to the flow of hours consumed a'i, V'b is the payments flow
corresponding to the flow of raw material purchases V'i, F'b is the payments flow corresponding
to the flow of fixed resources consumed F'i. The following equation
applies:
U'b(t) = a'b(t) + V'b(t) + F'b(t) (93)
The payments flow V'b is made up of two components.
One component is the payments flow V'b,kon corresponding to the cash
purchases of rawmaterials V'i,kon; the other component is the
payments flow V'b,kre corresponding to the credit
purchase of raw materials V'i,kre. The following equation
applies:
V'b(t) = V'b,kon(t) + V'b,kre(t) (94)
2.3.
Market parameters, sales
With a viev to depicting the fundamental
financial effects of the mar- ket on the firm as well as its effects on
earnings the market is cha- racterized by three basic components q , p and dD. They also describe the
fundamental link between the firm's sales of goods and the related payments
flows.
2.3.1.
Cash sales ratio q
The cash sales ratio is defined by the
equation;
S'u,kon(t) = q S'u(t) (95)
where 0 £ q £
1
In a manufacturing business q will typically be placed in the in-
terval 0 £ q
£ 0.2.
In a supermarket q will typically be in the interval 0.8 £ q £ 1.
.
- 24 -
2.3.2.
The price p
The price of the firm's product(s) is
defined by the eguations
S'u,kon,1(t) = p S'u,kon(t)
(96)
S'i,kon(t) = S'u,kon,1(t)
(97)
where S'u,kon,1(t) is the flow of debts
corresponding to the sales flow S'u,kon(t) (i.e. the current sending
out of invoices stating the amount of debt; see equation (96)). Equation
(97) expresses the fact that the flow of debts S'u,kon,1(t) is equal to the payments
flow from the customers (cash payment).
In practice, it should be noted that
there is normally only a tempora- ry time lag between invoicing and sales.
However, it has a temporary negative effect on liquidity and the
computation of results. Manage- ment will therefore as far as possible make
sure that invoicing is done without the mentioned delays.
2.3.3.
Debit time dD
This model defines the debit time dD as the time from the time of
de- livery of the goods from the firm until the time of payment by the cu- stomer
for the goods. In practice, dD is spread over the individual cu- stomers but with well
defined terms of payment the mean value can be adopted.
The definition of dD can be expressed by the
equations
S'u,deb,1(t) = p S'u,deb(t) (98)
V'deb,dD(t) = S'u,deb,1(t - dD)
(99)
S'i,deb(t) = V'deb,dD(t) (100)
.
- 25 -
S'u,deb,1 refers here to the invoice flow
corresponding to the credit sales flow S'u,deb cf. equation (98). Equation
(99) gives a funational description of a function V'deb,dD(t), which can be defined as
the pay- ments flow (documents) corresponding to the actual receipt of
payments S'i,deb(t) cf. equation (100). In practice, no
time lag is found between the two last mentioned functions.
In pratice, attention should be paid to
the fact that there may be a time lag in the business between invoicing and
sales, the result being changes in liquidity and the computation of
earnings. Management usu- ally aims at applying equation (98) in practice,
i.e. no time lag.
2.4. Market parameters, purchases
With a view to depicting the fundamental
financial effects of the pur- chasing market on the firm as well as its
effects on costs, it is cha- racterized by four basic components epsilon, q1, q2 and dK. They describe the
fundamental link between the firm's purchases of resources and the related
payments flows.
2.4.1.
Cash purchases ratio e
The cash purchases ratio is defined by
the equation:
V'i,kon(t) = e V'i(t)
(101)
where 0 £ e £
1
In, say, a manufacturing business e will typically be placed in the interval
0 £ e £ 0.2.
This is also a typical feature in a trading firm.
2.4.2.
The price q1 of raw materials
The price of the firms raw materials is
defined by the equation:
.
- 26 -
V'i,kon,1(t) = q1 V'i,kon(t) (102)
V'b,kon(t) = V'i,kon,1(t)
(103)
where V'i,kon,1(t) is the flow of debts
corresponding to the raw materials flow V'i,kon(t) (i.e. the current receipt of
invoices stating the amounts of debts); see equation (102). Equation (103)
expresses the fact that the flow of debts V'i,kon,1(t) is equal to the payments
flow to suppliers (cash payment).
In practice, attention should bepaid to
the fact that the time lag between the supplier's invoicing and the
supplies of raw materials is usually a temporary feature which has a
temporary positive affect on liquidity and the computation of results.
2.4.3. The price q2 of labor hours
The price of the firm's labor hours is
defined by the equations
a'i,1(t) = q2 a'i(t) (104)
a'b(t) = a'i,1(t)
(105)
where a'i,1(t) is the time ticket flow
corresponding to the flow of labor hours used a'i(t) (i.e. the current issuing
of time tickets stating wages earned); see equation (17). Equation (18)
expresses the fact that the time ticket flow a'i,1(t) is equal to the time rate
flow a'b(t).
In practice there is a certain time lag
between functions on the right hand side and the left hand side of the
equal sign in equation (104). This time lag is ignored here. There is
usually no time lag between
the functions of equation (105), or the
time lag is relatively small and of no importance here.
.
- 27 -
2.4.4. Credit time dK
This model defines the credit time dK as the time from the time of
de- livery of the raw materials to the firm until the time of payment by the
firm for the raw materials. In practice, dK is spread over the in-
dividual suppliers but with well defined terms of payment the mean va- lue
can be used. The definition of dK can be expressed by the equati- ons:
V'i,kre,1(t) = q1 V'i,kre(t) (106)
V'kre,dK(t) = V'i,kre,1(t - dK)
(107)
V'b,kre(t) = V'kre,dK(t) (108)
where V'i,kre,1(t) refers here to the invoice
flow corresponding to the
credit purchases flow V'i,kre(t), cf. equation (106).
Equation (107) gi-ves a functional description of a function V'kre,dK(t) which can be defined as
the payment order flow (documents) corresponding to the actual effecting of
payments V'b,kre(t), cf. equation (108). In practice,
there is no time lag between the two last mentioned functions.
In practice, attention should be paid to
the fact that the time lag between the supplier's invoicing and the
supplies of raw materials is usually a temporary feature which has a
temporary positive affect on liquidity and the computation of results.
The following equations are defined in
relation to the fixed resources consumed F'i and the related fixed costs F'b.
F'i,1(t) = k F'i(t) (109)
F'b(t) = F'i,1(t)
(110)
.
- 28 -
where F'i,1(t) in equation (109) refers
to the flow of debts in the form of invoices (stating amounts) corresponding
to the fixed resoures flow F'i(t). k denotes a symbolic operator in the form
of an average price of the fixed resources unit. In practice, there is some
time lag between the functions in eguation (110). As, however, the fixed
costs by definition are constant in time, such a time lag is not important
in this context.
3.1 Income statement
In this Chapter an income statement for
operations is presented (be- fore depreciation, etc.) using the general
main principles of accoun- ting theory.
3.1.1 Sales of goods
Sales of goods are defined on the basis
of the following equations:
S'u,kon,2(t) = S'u,kon,1(t)
(111)
S'u,deb,2(t) = S'u,deb,1(t)
(112)
S'u,1(t) = S'u,kon,2(t) + S'u,deb,2(t) (113)
Eguation (111) expresses the fact that
the flow of debts (in the form of invoices with statement of amounts) S'u,kon,1(t) gives rise to an e- qually
large information flow S'u,kon,2(t). This quantity is
identital with the current crediting to the cash sales account.
From equation (112) follows that the flow
of debts S'u,deb,1(t) causes an equally large information
flow S'u,deb,2(t). This quantity is iden-
tical to the current crediting to the credit sales account.
Total uales in the form of the
information flow S'u,1(t) corresponding to the total
crediting to the sales account are then obtained from e- quation (113).
.
- 29 -
3.1.2
Costs
The costs of the firm in connection with
production and sales are de- fined by the following equations:
V'i,kon,2(t) = V'i,kon,1(t)
(114)
V'i,kre,2(t) = V'i,kre,1(t)
(115)
a'i,2(t) = a'i,1(t)
(116)
F'i,2(t) = F'i,1(t)
(117)
U'd(t) = V'i,kon,2(t) + V'i,kre,2(t) + a'i,2(t) + F'i,2(t) (118)
Equation (114) expresses the fact that
the invoice flow from the cash purchase V'i,kon,1(t) is corrently debited to
the cash purchases account
to
the extent of the cash flow V'i,kon,2(t).
Equation (115) expresses the fact that
the invoice flow from the cre- dit purchase V'i,kon,1(t) is currently debited to
credit purchases account to the extent of the cash flow V'i,kre,2(t).
Equation (116) denotes the functional
relationship between the time ticket flow a'i,1(t) and the current debiting
to the time rate account of the wage payment flow a'i,2(t).
Equation (117) expresses the functional
relationship between the in- voice flow F'i,1(t) for fixed costs and the
current debiting of the cash flow F'i,2(t) to the fixed costs
account.
The total cost flow is defined by
equation (118).
.
- 30 -
3.1.2.1
Inventories, additions (with signs)
By way of introduction, it is mentioned
that the signs relating to additions to inventories (as a mean time value) are
assumed to be the same as those relating to additions to sales (as a mean
time value). Against this background the additions to the individual
inventories will for principal planning purposes have the same signs. The
inventories only serve as "standby stores" in case of emergancy
events" i.e. in normal operation state "the materials and
products go directly through the factory. Thus, the following systems of
equations apply:
Q'i(t) > 0
Q'u(t) = 0
d S'u
¾¾¾¾ > 0 Þ (119)
dt
Z'i(t) > 0
Z'u(t) = 0
Q'i(t) = 0
Q'u(t) = 0
d S'u
¾¾¾¾ = 0
Þ (120)
dt
Z'i(t) = 0
Z'u(t) = 0
Q'i(t) = 0
Q'u(t) > 0
d S'u
¾¾¾¾ < 0 Þ (121)<
|