of management f rom
re
sponsible
workingoperatives
to the highest administrativeofficers .
1
efficiency and expenditure outlay •
The of suitable tests for It
is ditticul t to obtain direct measures ot managerial e.fficienoy. So many ele-
menta or variables that inf'luenoe management
(
and oosts too)
, are a heterogeneous oouplex of envi ronmental and institutional oausation - cream density o.f the area , numbe rs ot suppliers , distanoe from cool stoa:es and coal supply, condition andage of buildings , and plant and machine ry. The impact or influence of these
variables , o r elements on management
(
while not exactly similar)
, set a problem for management , the effectiveness of which , will still be reflected in short period and long-period costs . However , costs in aey one case oan be assessed only strictly with reference to the special conditions of this case , and this makes gene ml ·comparison of costs difficult.of The following is a classification of the types of manage
ment existing in the
96
companies comprising the butter manufacturing industry :Type A. Senior ftmotional ope mtive . Manager works full time in factozy
Type B.
Type
C .
Type D .
Type E.
as operative . Number of ccmpanies -
4-5.
Factory Managers: .Responsible directly t o directors . Usually subs�diazy managers
(
such as store mnage rs)
who answer partly to .factozy manager, partly to Seoretar,y, and partly to Di rectors . Factory manager worlcs about50
pe r oent of time as a functionalope mtive . Numbe r of companies -
9.
Manager: Fully responsible for butte r factozy and activities . Has oversight of other semi-executives and is senior to the Sec retary as an officer. Wo lks some time in faoto :xy as opemt ive - up to 25 per cent but usually in relief capacity.
Number of companies -
24.
Managing Secretazy
{
or equivalent)
: Responsible to directors forall undertakings , technical , executive and administmtive.
Usually multi-branch COOIJ?anies , mnging from small two-bmnoh
companies to the largest organi sations . Full-time ·faoto:xy managers
are under his control , so that his salazy is charged to Gene ml.
Ove rllead. Number of caopanies - 1 1 .
Managers or Geneml Managers : Purely executive duties with Sec
retazy as distinctly subordinate officer. Usually multi-branch
and multi activities . Numbe r of companies -
7.
1 In addition to the intiUSive item o.f dep reciation, on the grounds of logical completeness othe r non-D&D8.gerial considemtions will be dis
cussed in this Part. Past 8.dministm ti ve decisions in the shape of
current plant and equipment and their capacities are relevant to the
cost patterns of steam, power, p rocessing, repairs and maintenanoe ,
and other expenditure . Pre sent administrative decisions affect qual
ity of product , quantity of raw material offe red, as well as gene m l cost allooa ti ons . Other non-managerial factors such as substitution, scale , and location must necessarily be discussed , while others again, are border-line o r ove rlap administrative considerations.
Of the above , Type A . represents small factories and Type E. the la�est
organisations . Type
c.
represents a medium-sized factory with some subsidiaryactivity , Type B. tends to bndge Types A. and
c. ,
with the additional feature of auxiliarles �o a g�ater exten
t than Types A. andC
• •,-:. . . ' . . ' Type
D. includes a
cross-section of all types of. multi-branch factories of a ll sizes�
� . . .
In small factories , the manager is a working manager who is both an exec-
utive and an ope rative. In oode:rate-sized factories the manager is able t o delegate and supervise va rious processes and activities but he is still an opel' ative to some extent . In larger companies ma.riagement i s specialised and exec utive in character. Aoconiing to the ·structure , size and activities ot :t;I?.e
company, managerial duties will vaey.
In the large r comPanies , managers will be executive heads responsible
for the co-o rdination of all the activities of the organi sation. They will
have oversight ot departmental managers who may control an entire plant or
t:actoxy, or who may be responsible for a distinct fUnction in the organisation. Management is distinguished practically according to the allocation of salaries .
A butte r factory manager may be responsible for a
5,000
ton-output factor.yand its auxiliaries , but his salazy will be allooa ted o r charged t9 b�tter
etc . The general manager, however, whose function is to co-o rdinate butter,
powder, transpo rt , t rading ... store and secretarial activities , etc . ' will have
his salary apportione� e.-m:mgst the general ovemeads. These types of manage
ment tern to merge , and ove rlap into the administrative sphere .
With the exception of Type A . management , too many managers allow them selves to become ope ratives to an extent that is p rejudicial to managerial
efficiency. As a result , insufficient time is devoted to organisation ,
planning and administrative worlt . This is partly due to labour shortage
and the inexperience of gene ral bands.
Many a manager c�o't-.;.�sist
being
one of the team to set the pace when output. is lagging behind what is no mal , whereas this should only be done inan emergency or as an oooasi.C?nal calculated piece of leadership . The
manager tends habitually, to take his place as an opem:tive , overlooking the
tact that it is a test of manage rial ability to have the highest paid worlce r, himself , doing a task that calls for the greatest skill , that of planning , organisln:g, delegating and supervising.
Certl\in
figures and ratios act as an index of manage rial efficiency for all types of management , but cannot be regazded necessarily as a valld comparative guide , for they a re affected by environmental conside rations . These figures and ratios � have value ,(
a)
for internal use by managers , and(
b)
for gene ral assessment puzposes .As an internal guide of efficiency , management oan check its own
efficiency through time by coll!Paring results . For eX8.1IJ>le , a manager oan examine any va riations in his nonthly coal consumption pe r uni t of output , his daily electrical powe r consumption , his ann
ual
cost ratios , his annual labour turnover o r his percentage of ove rtime.For gene ral assessment puzpo se s , these figures have a
limi
ted utility for co�ring faoto zy with factory , provided the factories being COII!Pared a re mode rately homogeneous as regazds locality, s uppliers and output .Of the two types of efficiency cheoks which follow, the first is u seful for cheold.ng technical efficiency , the second , economic efficiency.
I . Physical input-output ratios , and physical data , including :-
(
a)
(
b)
(
c)
( d)
(
e)
(
f)
(
g)
(
h)
(
i)
(j )
Man-hours per unit of butte r. Units of c oal pe r unit of butter. Power uni ts per uni t of butter.
Miles-per-gallon in transport haulage . Labour tumover pe r annum.
Time-mtion data : Seconds per man-oan.
Seconds per man-carton. Percentage of Premium Butte r to Ave rage Grade.
Ratio of Premium Butte r to Finest C ream.
Ratio of Average Grade to Finest
Cream.
Ratio of Fi mt and Second Grade Cream to p revious
II. Cost
d
ata A!ld.cost ratios, incb.ding:-
Surplus onbuttennaking accounta
Average p�out �or season.
Overrun r·ela-ted to Ma_rmfacturing Charges$
Charges
( e
)
Wages
Materials
{ f) Fuel , Power & Steam
!lfanufac tu.:dng
C
harg
es (g) T0tal Costs (h) General Total oostso (i) Overheads Total costs. (j) Administrative Number of supplierso(k)
The relative unit costs as revealed by theW�ufacturing Account.
Where multiple regressional ana�sis has been made of a number o:f variables
related to a given function, the differential between the actual and estimate
evaluations may, to some considerable extent , be largely attributable t o
differential managerial efficiency. Depending on the nature of the regressio
and the number of independent variables in the for.mula and the
standard
errorof
estimate, thesedifferentials
are related to managerial ability and o therunexplained
variables. It is not possible to calculate precisely the percentage attributable to managerial efficiency, but it is evident that mana
gerial efficiency is an independent variable functional� related to the
2
dependent variables. In
t
hos
e instances wheremanagement
ha.s changed, thedependent variables will change too (other factors held cons tant) ,
suggesting
that
management has ple;yed. a conSiderable part in determining the deperdent�
ager
ial efficiency will probably be inter-correlated with otherindependent variables, so that the residuals may not indicate fully the true relationship and propor�ion of man�ement as a fUnction.
variable.3
A relative� reliable guide to efficiency can be obtained by noting
the position of the factocy concerned relative to the regressional line in a scatter diagram. A factor.r below a regressional line indicates that there are certain favourable variables causing this position. But posi ti.on alone in a scatter diagram cannot be as sumed to be due to any one variable
such as managerial efficiency, unless other variables are held constant.
3
Labour turnover, as
measured
by multiple correlation ana]ysis, oanbe considered as caused by a number of independent variables, housing , scale, and wages
(
the measured independent variables)
, ani the residuals be conceived
as
a complex of managerial efficiency, sociologicaland psychological propensities of the employees, and other locational
factors.
If
sociological and psychological propensities are not abnormal, and other factors are constant , then it � be assumed that
8D\Y' residual deviation can be attributed to managerial efficiency
(
or the lack of it)
.To illustrate : From the labour turnover regression it was computed
that ·about
1 4
per cent of labour turnover in the butter ind.ustr,y isa constant factor due to normal staff wastage arising from death,
retirement,. transfers eto. . About
7
per cent was due to lack of satisfactocy accolii!IOd.ation, 24 per oent was due to scale or output, and 2 per cent was due to salary. That is,47
per cent o f turnover in the industxy can be accounted for; the balance of 53 percent is
caused by oth�!' reasons, largely employer-employee relationships
(
ifwe can assume other elements constant
)
.In one large faotocy the actual turnover for the year was exactly
501
whereas the estimated turnover calculated for that identical faotor.yby� the regressional formula was
88.51 .
That is, the fact� wassome
77
per cent more efficient in handling labour than the average faotor.r of that size with similar housing and salary conditions.In
this faotor.y, employer-employee conditions were excellent, and noeffort was spared to keep the staff happy. This was verified by sub
jective enquixy. On the other hand, another factory with smaller
output had a labour turnover of
1 32,
whereas a standard faototy ofthat size and working oond.i tions should have had a turnOV'er of
76.
This latter factory was inefficient as regards h�dling labour, and
subjective en
quiry
confirmed that there was DJJChto
be desired in ·employerw��loyee relationships.
Limitations : The question still rema.ins as to what constitutes efficiency
in management. Whilst efficiency itself is a relative measure, indicated
by the ability to produce the most profitable level of output at the lowest possible total costs, there are certain other features including quality of output.. which DllSt be considered..
A manager may be proficient in technical efficiency if he is able
to produce a
high
percentage of premitDil butterfrom
a relatively high percentage of 1 st and 2nd grade cream. But this technical efficiency 'I1J8Y be at the expense of economic efficienoy, in that the technical efficiency was made possible by the relatively high cost expedient of double vacreation.Or, economic efficiency may be at the expense of eJJ�>loyer-employee relation
ships, which although not reflecting on costs immediately, have a long-term
adverse effect on labour costs.4
Again,
a manager may be relativel,yefficient teohnicall,y but inefficient administrativ�� or in other respects. Finally, in measuring efficiency, it Dllst be recognised that it is
nigh-well
�ssible to hold other factors constant in endeavouring toassess relative efficiency between managers of various factories. Efficiency is a subjective quali'tu' measured by objective evaluations. It is relativel,y safe to measure one manager from season to season, for other factors tend to be constant, but not necessarily so. But to rank all managers in an
.
efficiency scale DllSt be based on certain assumptions, the most important of
which is the ceteris assumption, an assumption which is not always
true. ldoreover, it should not be assumed that all managers above the median
in
an array are necessarily efficient and those below the median are inefficient. All may be efficient, but
sane more
than others; or conversely,all JMY be inefficient but some more than others.
Efficiency has no coDIDOl'l denominator.
40ne season is a relatively short-term period. Efficiency can be assumed by examining data relative to one season, but several seasons need to be examined conjointly as it is possible to post pone expenditure or to overlook the influence of a · favourable season. Efficiency is a d;ynamic rather than statio attribute.
SECTION
.f!•
TECHNICAL ASPECTS - UTILIZATION OF POWER.*rnTRODUCTION : This section deals with the efficiency of power
utilization in the manufacture of butter.
Power is required for
(
a)
motive power in driving and activating plantani
machinery,(
b)
processing,(
vacreation, sterilizing , cleaning, pasteurising etc.)
, and(
c)
lighting. It is derived from electricity supply, steam, . .fuel-combustion enginesani
water power(
turbine)
.Power is consumed, broad
�
speaking,in
three main functions 1(
a)
providing motive power,(
b)
providing steam for processing , ani(
c)
refrigeration.While most factories utilise electricity for motive power, all
factories must have steam for various operations in processing and cleaning.
A few factories use steam
and/
or internal canbustion engines or otherdevice for motive power instead of electrici�.
Consequentl;y care needs to be exercised to ccmpare those factories
generating steam for processing o� and not for motive power,
(
unlessspecial meters or separate boilers were used
)
.The total cost of ".fuel, �r end steam" as revealed by. the N.z.
Dai:cy Board' a 26th Annual Report is 5 per cent of the total manufacturing
costs. But these costs refer solel;y to fuel, electrical power, and cost
of transport · of fuel to the facto:cy.5
The total cost of power is much greater, for the cost of power in this section is meant to include not onl;y " fuel, power and steam" 1 but also
c osts relating to generating, supplying,
procuring
and transmitting powertogether with
all
costs relating to providing, operating and maintainingplant or equipment 1
and
providing or transmitting power.The main elements of power utilization costs, other than fuel,
electricity
and
steam include :-5see "The
Accounts 1 9501 Govt.Printer,
Wellington, P • •
•
Certain asp ects of Secti on I l , such as plant capacities, ins tru-
mentation and scal e p rop erly bel ong to Part V, but are d i scussed here for the sake of compl eteness .
Labour - firemen, engine drivers , engineering staff etc. Repairs and. maintenance of power plant.
Consumable stores - oil , grease , cleaning equipment. Brine , amnonia, freon.
Depreciation of plant used for supplying or transmitting power.
Interest
and
insurance on plant used for supplying ortransmitting power.
Administrative and IDS--'la.gerial charges.
Overhead and other distributable charges relative to factor,y buildings etc.
When these other elements are included, the total cost of power of
a medium-sized plant
was
1 1 .7
per cent of total costs of butter manufacture- or put differently, " fuel , power
and
steam" is about42.5
per cent oftotal power costs. Power thus plays an important and costly function in
butter manufacture.
Source of Data: A survey was made of all plant and equipment generating or utilising power, together
with
number of units consumed, in order to relate power consumption to butter production. To this end, each company wasasked to supply the following data :
(
a)(b)
Total units of power for
1 949/50
season consumed in butter manufacture -(
monthly unitswi th
power and lighting dis tinguished where possible) .Total coal utilised for
1 949/50
season in butter manufacture - (by the month where possible) .This information was cross-checked by analysing the accounts of the company (when available ) and by referring to Electrical Power Boards far
oonfinnation in certain dis tricts . In addition, copies of returns made
to Census and Statistics Department and also the
1 950
Survey of Refrigerationand
Mechanical factors as applied to Butter Factories were obtained. 66rt JJJ.lst be recorded that in many of these auxiliary surveys, the data were carefully canpa.red. and checked, and in most oases,
discarded. In this latter survey
25
factories recorded their annualcoal tonnage to the nearest
1 00
tons , and another44-
returns showed ooal to the nearest1 0
tons.c. and s.
official returns were onlyMotive Power in factories: Of the
1 1 4
factories examined,1 6
utilized steam as motive power either in place of 1 or auxiliary to electrical power, five used diesel power plants 1 one a gas engine(
from gas produced on the premises)
, and one a water turbine. The rest used electric motors for motive power.In
medium-sized factories it was usual to find two25 H.P.
motors for refrigeration plant ,20
to25 H.P.
motors for churns,1 0
to1 5 H.P.
motors for vacreator water pump1 and a number of smaller powered motors
(
up to3 H.P. )
for water cooler, valve pumps , butter-milk pumps, va.creator cream pumps, churn pumps , boiler-feed puD�>S1 cream pumps, mechanicalstokers , cool room plant, can-washers , packers , patting machines ,
salt
crushers ,
D.E .
h olding vats , and grinding machines.Most factories had individual motors for driving various units ,
but
a few took a number of belt drives off a common powe�riven shaft. A few
factorie s had separate meters for different processes , but most of the