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8/19/2019 Ch 38 Industrial Sickness
1/17
Ch 38 Industrial Sickness
Presenter:Presenter:
Prof. Isha DaveProf. Isha Dave
8/19/2019 Ch 38 Industrial Sickness
2/17
Denition of Sickness There are two ways of looking at insolvency:Stock!ased insolvency: "hen the r# has negative
net worth. i.e. assets are less than the lia!ilities
$low!ased insolvency: "hen o%erating cash &ows
are not enough to #eet its o!ligationsReserve bank of India has dened a sick unit as
'(ne which has incurred cash losses for one yearand) in the *udg#ent of nancing !ank) is likely toincur cash loses for the current as well as the
following year and or there is an i#!alance in theunit+s nancial structure) i.e. current ratio is lessthan , - de!teuity ratio is worsening.
Co#%iled !y: Prof. /a*see 0oshi
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Denition of Sickness The 1arsheny Co##ittee constituted !y the State 2ank
of India dened sick unit as 's a unit which fails togenerate internal sur%lus on a continuing !asis and isde%endent for its survival on freuent infusion of e4ternalfunds.+
$inancial Institutions for the %ur%ose of ter#loan) classifya sick unit after considering any of the followingsy#%to#s:
,.Default in #eeting 5 consecutive halfyearly install#entsof interest or %rinci%al of institutional loans
6.Cash losses for a %eriod of 6 years or continued erosion ofnet worth
3.Increasing arrears of statutory and other lia!ilities for a%eriod of , to 6 years.
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Causes of Sickness1. Unfavourable external environment Shortage of key in%uts like raw #aterials) %ower) etc
Changes in govern#ental %olicies
7#ergence of large ca%acity) leading to intense
co#%etition Develo%#ent of new technology
Sudden decline in orders
Shifts in consu#er %reference
atural cala#ities dverse international develo%#ents
/educed lending !y nancial institutions
Co#%iled !y: Prof. /a*see 0oshi
8/19/2019 Ch 38 Industrial Sickness
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Causes of Sickness
2. Managerial decienciesDeciencies in Production
Deciencies in 9arketing
Deciencies in $inanceDeciencies in Personnel
Co#%iled !y: Prof. /a*see 0oshi
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/2I Study of Causes ofSicknessStudy covered 38 units) on the causes of
industrial sickness revealed the following%icture:
Co#%iled !y: Prof. /a*see 0oshi
Number Percentage
9is#anage#ent and #anagerialdeciencies
,;
8/19/2019 Ch 38 Industrial Sickness
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Sy#%to#s of SicknessDelay or default in %ay#ent to su%%liersIrregularity in !ank account
Delay or default in %ay#ent to !anks
$reuent reuests to !anks or $I for additional credits
Decline in ca%acity utiliAationPoor #aintenance of %lant - #achinery
=ow turnover of assets
ccu#ulation of inventories
Ina!ility to take trade discount74cessive turnover of %ersonnel
Decline in the %rice of euity shares - de!entures
Co#%iled !y: Prof. /a*see 0oshi
8/19/2019 Ch 38 Industrial Sickness
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Prediction of SicknessBnivariate nalysis: "illia# 2eaver co#%ared nancial
ratios of a sa#%le of ; r#s that failed with thenancial ratios of a sa#%le of ; nonfailed for the sa#e%eriod of ti#e.
It suggests that nancial ratios had the %ower to signalan i#%ending failure.
=.C. u%ta) in an e4tensive study with Indian data)selected a sa#%le of 5, te4tile co#%anies of which 6@were sick and 6, were nonsick to test the %redictive
%ower of >3 nancial ratios. The study revealed that the 72DITSales and
(%eratingC$Sales are the two i#%ortant ratios which%redict sickness
Co#%iled !y: Prof. /a*see 0oshi
8/19/2019 Ch 38 Industrial Sickness
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Prediction of Sickness9ultivariate nalysis: Seeks to %redict nancial
sickness using a #ethodology that considersthe co#!ined in&uence of various ratios.
Classic study was conducted !y 7.I lt#an.
lt#an+s E score #odel hel%s in !ankru%tcy%rediction.
Fe studied a sa#%le of 33 !ankru%t r#s alongwith a %aired sa#%le of 33 non!ankru%t r#s
and e4a#ined 66 nancial ratios with a view toselecting < which *ointly %ossessed the#a4i#u# %ower to %redict !ankru%tcy
Co#%iled !y: Prof. /a*see 0oshi
8/19/2019 Ch 38 Industrial Sickness
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lt#an+s E Score original#odel T, H "orking Ca%ital Total ssets T6 H /etained 7arnings Total ssets
T3 H 7arnings 2efore Interest and Ta4es Total ssets
T5 H 9arket 1alue of 7uity Total =ia!ilities
T
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Critiue of 2ankru%tcyPrediction 9odels/esults of such unguided research eNorts
are often inconsistent) and i#%ossi!le togeneraliAe
These studies are statistically &awed!ecause they are retros%ective in nature
Co#%iled !y: Prof. /a*see 0oshi
8/19/2019 Ch 38 Industrial Sickness
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/evival of a Sick Bnit
Ste% ,. 1ia!ility Study:9arket nalysis
ProductionTechnical nalysis
$inancial nalysisPersonnel (rganiAation
7nviron#ent
Co#%iled !y: Prof. /a*see 0oshi
8/19/2019 Ch 38 Industrial Sickness
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/evival of a Sick Bnit
Ste% 6. /evival Progra##eSettle#ent with creditors
Provision of additional ca%ital
Divest#ent - dis%osal
/efor#ulation of %roduct#arket strategy
9oderniAation of %lant - #achinery
/eduction in #an%ower
Strict control over costs
Strea#lining of o%eration
I#%rove#ent in #anagerial syste#s
Change of #anage#ent
Co#%iled !y: Prof. /a*see 0oshi
8/19/2019 Ch 38 Industrial Sickness
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/evival of a Sick Bnit
De!t /estructuringInterest rate relief
Defer#ent of %ast interest dues
"aiver of %enalties/eschedule#ent of loan re%ay#ent
/eduction in loan a#ount
Co#%iled !y: Prof. /a*see 0oshi
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Turnaround Stories
$%& &u'ukiStarted its o%erations in ,;;;8
Its %erfor#ance deteriorated in the followingthree years
2y early ,;;, situation was really !ad !ecauseof intense co#%etition
Deter#ined to ght the co#%etition and i#%rove%erfor#ance) co#%any took a series of ste%s:
,. si4 #onth) week!yweek cost reduction drivefocused on raw #aterial cost) #an%ower cost)etc. This led to a dro% of 3@O in o%erating costs
Co#%iled !y: Prof. /a*see 0oshi
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Turnaround Stories
6. 9assive e4ercise in value engineering wasundertaken in tande# with SuAuki. This resultedin a saving of ,@ #illion %er #onth.
3. %roduct i#%rove#ent strategy to introduce a
new #odel every few years) to !uild #arketshare
5. renewed #arketing drive !acked u% !y a highadvertising outlay and a new #arketing andvendor %olicy
Due to these initiatives and the dyna#icleadershi% of 1enu Shrinivasan) the co#%anye#erged as a healthy) vi!rant organiAation
Co#%iled !y: Prof. /a*see 0oshi
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Thank ou
Co#%iled !y: Prof. /a*see 0oshi