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8/9/2019 Turn Around of Indian Railways_final
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Problem Statement
Study turnaround of Indian railways
From the depths of projected bankruptcy to a profit
making organization
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Intro ction to In ian rail ays
De artment of t e Government of In ia
Total state mono oly on In ia's rail trans ort
One of t e largest an b siest rail net orks int e orl
Covers a total lengt of more t an 63,327 km
As of 2008, IR o ne abo t 225,000 agons,45,000 coac es an 8300 locomotives an ran
more t an 18,000 trains aily
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Researc Objectives
St y IR t rnaro n case
Do researc on t e factors t at infl ence
In ian rail ays Strategies t at can el IR to come o t of ebt
tra an t rn into rofitable sector
Fin o t at co l In ian rail ays o inf t re
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Literat re revie
KPMG an CII backgro n note on International
Rail ay Conference, Ne Del i
Talke abo t t e T rnaro n of In ian Rail aysit regar s to t e follo ing factors
Strategic erformance en ancement initiatives
Key Initiatives involving rivate sector artici ation International Benc marking
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T rnaro n of t e IR - Factors
Retrenc ment (cost c tting initiatives)
Revie ing arts of b siness t at are not val e a ing
Efficiency im rovements
Do nsizing
O tso rcing
Re ositioning (reven e raising initiatives)
Foc s on gro t
Pro ct innovation
Pro ct ifferentiation
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T rnaro n of t e IR - Factors
Reorganisation
C anges in lanning systems
H man reso rces initiatives
Environmental Factors
C ange in t e macro-economic con itions
Rise in eman
C ange in t e legal osition
Decline in t e financial cost
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Vario s Earnings for IR
oods Earnings
Incr as in goods arnings for - ov r -was Rs 9 cror s
ass ng r Earningsass ng r arnings in - had gon p y Rs
cror s
E phasis on to ch and f l initiativ s
th r Earningsarc l
at ring
dv rtising
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Primary Data Analysis
Preferred Mode Of Travelling1. Roa ays 2. Rail ays 3.Air ays
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Ex erience of Travel By Rail ays
1. Poor 2. Average 3. Goo 4. Very goo 5. Excellent
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Online Ticket Booking
1.Poor 2.Average 3.Goo 4.Very goo 5.Excellent
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Comfort Over Roa
1. Strongly Disagree 2. Disagree 3. Ne tral 4. Agree5.Strongly Agree
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C i S are for A vance Booking
Ho : Ex ecte no. of eo le o se online reservation is 50%H1 : Ex ecte no. of eo le o se online reservation is not 50%
Al a=.05 f=60 critical val e = 1.671
advance book
Observe N Ex ecte N Resi al1.00 4 30.5 18.5
2.00 12 30.5 -18.5
Total 61
Test Statistics
a vance bookC i-S are(a) 22.443
Df 1
Asym . Sig. .000
A 0 cells (.0%) ave ex ecte fre encies less t an 5. T e minim m ex ecte cell
fre ency is 30.5.
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t-test on Days of Tatkal
o : preferred no. of days for Tatkal reservation
lpha . df critical value .
t df Sig. (2-tailed) Mean Difference 95% Confidence
Interval of the
Difference
Lo er pper
Day Tatkal 8.2 2 . . 4 8 . 8 . 28
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t-test on Ex erience
Ho : Overall Ex erience =3
H1 : Overall Ex erience 3
Al a=.05 f=60 critical val e = 1.671
t df Sig. (2-tailed) Mean Difference 95% Confidence
Interval of the
Difference
Lo er er
Ex erience 28.707 60 .000 3.06557 2.8520 3.27 2
One-Sample Test
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ANOVA b/ fre ency of travel an overall
Ex erience
Ho: Overall ex erience of eo le is e al irres ective of t efre ency of travel
H1: Overall ex erience iffers as fre ency of travel c anges
Critical val e F = 2.53
Sum of Squares df Mean Square F Sig.
Bet een Gro s 3.448 4 .862 1.261 .3 6
Wit in Gro s 38.2 0 56 .684
Total 41.738 60
ANOVA
Ex erience
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S ggestions
Intro ction of smoking zones
Maintain Hygiene an Cleanliness
Cleaner stations an trains
Better Foo
Intro ction of ig s ee trains
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Concl sion
Retrenc ment strategy as s ccessf l in re cingt e o erating cost
Foc s on ynamic ricing an c stomer centric
s b-strategy it in t e overall strategy toincrease reven e
Reorganisation strategies like man reso rceevelo ment ave el e in im roving t e
o eration Ac ievement of efficient o tcomes t ro g
ecentralisation of a t ority an res onsibility
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