Page 8 - PPO Diaries

PPO Diaries

❖ A brief overview of the project

Topic – Design of Critical Spare parts inventory model –
Machine breakdowns can occur sporadically at any time of a
machine’s life. Subsequently spare parts must be available
to repair it and make it up and running as soon as possible
to reduce downtime and improve productivity. Hence there
was a need of a model to forecast the expected demand of
spare parts of equipment, determine the reorder quantity,
re-order interval and safety stock requirement and
subsequently automate it so that it can be run over the
years for inventory planning.

ABHIJNAN LAHIRI Study of possible losses in blending and filling operations –

Identify the different points in the entire blending and filling
CASTROL operations of lubricants where losses were occurring and

__________________________________________ finding out possible solutions for them.

GENERAL INFORMATION
❖ How is a normal day at the Internship?
Batch: PGDIE 48
My working hours per day was from 9am-5pm on a typical
BTech: National Power day but depending upon the daily work and as my project
progressed, I had to extend my time at office till 8-9pm. I
Training Institute (E.R) was mostly involved in interactions/conversations with the
employees and technicians to gather data and insights
Stream: Power Engineering regarding the issues needed for the project in the initial

days.
Work Ex: Tata power company

After gathering data, I spent my days in my “dedicated” office cabin beside my mentor to work on the model

and come up with results. Having made quite a lot of acquaintances at the office in different departments, it
was quite fun to work and spend time at the office. Being a young student, all employees used to be fond of me

and acknowledged my company with them. Time used to fly by smoothly between project work and chitchat

with the people there.

❖ What are the challenges faced during Internship?

The most frustrating challenge faced during the project was data collection. I believe this is the biggest

challenge faced by any intern in any company. As it looks simple in textbooks to come up with solutions to
problems faced on the given data, it becomes extremely arduous efforts to gather reliable and useful data for

any real-life problem. There were incomplete data, missing data, irrelevant data, erroneous data and in many

cases even no history of data for certain portions of the project. In such situations, either you got to retrieve the
data somehow or take mindful assumptions to maintain validity of your project as well.

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