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Summer Internship<br />
Prashant Meshram PGP2011-13<br />
Indian Institute of Management Raipur<br />
I did my summer<br />
internship with Hero<br />
MotoCorp, Gurgaon<br />
plant. I was assigned<br />
the project titled<br />
"Projecting accuracy &<br />
defining norms in<br />
improving the service<br />
Prashant Meshram ratio in SPD services",<br />
PGP11-13 which was in tandem<br />
with the SCM team in the Materials<br />
Department.<br />
In course of my internship, I worked on the<br />
following lines under Spare Parts Division<br />
(SPD)<br />
i. Learning the key concepts that are being<br />
used in forecasting the spare parts<br />
demand by HMCL.<br />
ii. Projecting the accuracy in the SPD by<br />
analyzing the last three years data.<br />
iii. Identifying the various factors that are<br />
responsible for the demand fluctuations<br />
in SPD.<br />
iv. Recommendations to minimize the effect<br />
of the identified factors.<br />
To attain the objectives, the following tasks<br />
have to be accomplished:<br />
1.A thorough study on spare parts demand<br />
forecasting has to be done to construct a<br />
speculative outline of spare part<br />
management.<br />
2.Evaluation of the case project<br />
documentation to get a clear concept of the<br />
case.<br />
3.Interact with project personnel in different<br />
roles to understand the current state of the<br />
project and to get a holistic picture of the<br />
business environment. Unconstrained<br />
conversations with anyone related to the<br />
subject in order to evaluate everything from<br />
the most far-out ideas to detailed<br />
improvements of forecasting algorithms.<br />
4.Perform statistical analysis with real<br />
demand data to project accuracy of different<br />
forecast algorithms.<br />
I learnt that various components require<br />
significant improvements. The most<br />
significant factor that affected the demand<br />
variation was found to be the SCHEDULE<br />
vs. SUPPLY figures. Any fluctuation where<br />
supply is not meeting the schedule leads to<br />
the variation in the subsequent months and<br />
thus affects the service ratio to a great extent<br />
and vice versa. Dealers are trained to<br />
understand the benefits associated with the<br />
maintenance of the spare parts. Variation at<br />
the dealers end gives rise to the random<br />
demand which is transferred ultimately to<br />
the supplier end thus exhibiting the bullwhip<br />
effect. This can be minimized with the help<br />
of CFRP (Collaborative Forecasting and<br />
Replenishment Program) and proper channel<br />
alignment.<br />
Internship at HMCL gave me an ample<br />
opportunity to relate the theory and practical<br />
aspects of business. I got a scrutinized<br />
glimpse of various forecasting methods used<br />
in manufacturing industries and how supply<br />
can be optimized for intermittent demand. It<br />
was an unforgettable learning experience to<br />
work with the world’s largest manufacturer<br />
of two wheelers.<br />
27<br />
NOVEMBER 2012