Report shubham

1
An Industrial Training Report
On
Analysis and Interpretation of Data for accurate positioning and tightening of
oil pan by Robot on the engine carried by the AGV
VE COMMERCIAL VEHICAL Ltd. Pithampur Indore (M.P)
Submitted in partial fulfilment of the requirement of Bachelor Degree
Submitted By- Supervised By-
Shubham Mishra Puneet Kumar Sharma
Er. No.151873 Designation- Manager
Submitted To
Department of Mechanical Engineering
Jaypee University of Engineering and Technology
A-B Road, Raghogarh, Guna, MP

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CERTIFICATE
This is to certify that Shubham Mishra, a 3rd year student in the Mechanical
Engineering Department of Jaypee University of Engineering & Technology,
Guna has successfully completed his internship during the period of 04/6/18 to
12/7/18 under the guidance of Mr Puneet Kumar Sharma at the engine line,
department of technical services at VE commercial vehicles LTD, Pithampur,
Dhar district, Madhya Pradesh.
During this 6 weeks’ period, he has shown keen interest, sincerity and integrity
towards the accomplishment of this project. He has been extremely serious and
dedicated to his work.
I wish him success in his future endeavours.
Mr PuneetKumar Sharma
(Manager)

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ACKNOWLEDGEMENT
I have taken efforts in this project. However, it would not have been possible
without the kind support and help of Mr Puneet Sharma, who was my guide
for the duration of my internship. I would like to extend my sincere thanks to
him for his constant supervision as well as for providing me with the necessary
information regarding the project, helping me to complete it. Each problem had
to be approached from a different perspective and without his help, this would
not have been possible. Working under him was really a thrilling experience.
I am highly indebted to VE commercial vehicles for giving me this opportunity.
I would like to express my special gratitude to the line operators and supervisors
for giving me attention and for answering all my questions without hesitation. I
express my deep indebtedness to the technical services department without
whose support and guidance, this internship would not have taken a concrete
shape.
I am grateful for their cooperation during the period of my project.
Shubham Mishra
Mechanical Engineering
JUET, GUNA

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CONTENTS
1.CHAPTER………………………………………………………………….6
1.1Company profile
1.1.2. Introduction
1.1.3 Vision
1.3 Mission
1.4 Going Forward
2.CHAPTER…………………………………………………………..…..…9
2.1 Plant layout
2.1.2 Introduction
2.1.3 Engine Line
2.2 Project Details
2.2.1 Introduction
2.2.2 Automated Guided Vehicle
2.2.3 Industrial Robot
3.CHAPTER……………………………..………………………………….15
3.1. Project 1………………………………………………………………………..……..15
3.1.1 Project Highlight (Station AGV1 15RH)
3.1.2 Problem Statement
3.1.3 Methodology
3.1.4 Data Representation
3.1.5 Data Analysis and Interpretation
3.2 Project 2 ………………………………………………………………………………23
3.2.1 Project Highlight (Station AGV1 16RH)
3.2.2 Problem Statement
3.2.3 Methodology
4. Conclusion…………………………………………………………….....31

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List of Fig.
1. Line Diagram of Plant Layout ……………………………………………………9
2. Engine Line……………………………………………………………………….10
3. Power Roller Bed (PRB) Line…………………………………………………….11
4. Engine Line Layout……………………………………………………………….12
5. Automated Guided Vehicle (AGV)……………………………………………….13
6. Industrial Robot…………………………………………………………………...14
7. Sealant Robot……………………………………………………………………...15
8. Shows the schematic diagram of AGV which describes the path followed by AGV at
station AGV1 15RH………………………………………………………………….16
9. Schematic Diagram Of AGV………………………………………………………17
List of Tables.
1.shows a number of engines manufactured per AGV from 21st May to 26th June 2018 during
Shift-A……………………………………………………………………………….18
2.A sample of recorded data is shown below………………………………………..19
3.The accuracy of data collected is excellent when values of x, y, r, encoder angle lies with its
range. It is observed that most of the time, robot tightens the oil pan when…………26
List of Graph.
1.offset(mm) of AGVs along x- coordinate as captured by fixed vision camera……20
2.offset(mm) of AGVs along y- coordinate as captured by fixed vision camera……21
3.Median(x) vs AGV# along with its trend………………………………………….21
4.Median(y) vs AGV# along with its trend………………………………………….22
5.Variant wise Bolt Status OK-NOK………………………………………………..28
6.AGV wise Bolt Status OK-NOK………………………………………………….28
7.Median(x) vs AGV# along with its trend…………………………………………29
8.Median(y) vs AGV# along with its trend…………………………………………29

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CHAPTER 1
1.1COMPANYPROFILE
Founded - 2008
Corporate Headquarters - Gurgaon
Industry - Automotive Industry
Type - Private
Key people - Mr Vinod Aggarwal, (M.D and C.E.O)
Mr Anders Hager, E.V.P. AND C.F.O
Mr Hakan Karlsson, Chairman Board of Directors
Mr Siddhartha Lal, Director
Website - www.vecv.in
No. of Employee – 11000+
Revenue Rs. 600cr
2010 Sales: 70,000 Units
Markets - India, Bangladesh, Kenya, Sri Lanka

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1.2 Introduction
VE Commercial Vehicles Limited is a joint venture between the Volvo Group (Volvo) and
Eicher Motors Limited (EML). It is a partnership that brings together Global leadership in
technology, quality, safety and environmental care, along with the deep knowledge and
understanding of the Indian Commercial Vehicle (CV) market. VE Commercial Vehicles
Limited. (VECV) owes its inception to the compelling intent of driving modernization in
commercial transportation, in India and other developing markets.
 VE Commercial Vehicles Limited (VECV) is a joint venture between the Volvo
Group and Eicher Motors Limited and is headquartered at New Delhi. This joint venture
came into effect in July 2008.
 ETB completed 31 years of operations in India in the month of June 2017. The first
Eicher truck was rolled out from its manufacturing plant in Pithampur, Madhya Pradesh in
1986 and over the past 29 years, the products have got an endorsement from happy customers
of over 6,14,000 vehicles.
 The state-of-the-art plant in Pithampur has top line manufacturing processes which
include cab weld shop with robotic welding, CED paint shop, integrated testing facilities,
100% hot test facility for engines and a lean and scalable manufacturing set up. It offers
superior paint finish and delivers quality much superior to what we see in contemporary
trucks in India. The top coat paint finish is superior in terms of gloss, distinctness of image
and corrosion resistance. Even UV protection will be two times more than the existing paint
quality. The paint shop will have an initial capacity of 72,000 units scalable to 100,000 units
per annum.
 Commemorating the successful completion of 8 years of partnership between Volvo
Group and Eicher Motors in July 2016, VE Commercial Vehicles Limited announced the
start of commercial production at the technologically most advanced engine manufacturing
plant in India. The plant has been set up at Pithampur, Madhya Pradesh, India with an initial
capacity of 25,000 units per annum in Phase 1 at an investment of Rs 375 crores. The
capacity will increase step by step to 100,000 units per annum as per the market requirements
with an additional investment of around Rs 125 crores.
The company's industrial base includes an integrated Commercial Vehicle factory in
Pithampur, producing Eicher trucks and a bus plant at Bagged. The organization also has
manufacturing capabilities in Thane, Dewas and SEZ Pithampur, dedicated to the
manufacturing of transmission and differential gearboxes and gearbox assemblies.
 The state-of-the-art plant in Pithampur has access to topline manufacturing processes,
which includes cab weld shop with robotic welding, CED paint shop, integrated testing
facilities, 100% hot test facility for engines and a lean and scalable manufacturing set up. The
machine shop has 17 Horizontal machining centres, special purpose machine for critical
operations like a crank bore, cam bore, piston bore and Joint face finish machining. The
transmission assembly section has a hydraulic press for pressing of bearings and a
soundproof enclosure for checking the abnormal noise in the transmission units being

8
produced. The plant also has robotic welding facilities for the main body and underbody
welding. A pre-delivery automated inspection facility is also there to check the speed and
brake related parameters, turning angle and wheel alignment issues before delivery of the
final product to the dealer/customer. The plant has an annual production capacity of 48,000
units.
 As a part of the product development process, the organization has a fully equipped
vehicle and engine development centre with fatigue lab, complete virtual vehicle integration
capability, different simulations, in-house competence for electrics and electronics
integration, a complete bus structure and interior trim design capabilities.
1.2.1 Vision
To be recognised as the industry leader driving modernization in commercial transportation
in India and the developing world.
1.2.2 Mission
VECV aims to continuously improve transportation efficiency in India and developing
markets, thereby reducing logistics costs for goods and people – leading to higher enablement
of specialisation in manufacturing, agriculture and services, thereby increasing the nation's
economic activity and productivity.
Company choose to do this in a sustainable manner by having the safest, most durable and
efficient products in the market;
Company care for the customers holistically by offering not just trucks and buses, but also the
best service and soft products to enable them to be most profitable;
It also works with the driver community to enhance their productivity and overall working
environment; Company ensures a level of quality and innovation that will continue to set
standards in the commercial transportation industry. It works with professionalism, passion
and the greatest respect for all individuals.
1.2.3 Going Forward
VECV aims to emerge as an Industry leader in driving modernization in commercial vehicle
transportation in India and the developing world by bringing about improvement in transport
efficiencies.
In the near course, VECV will strengthen each of its product brands as leaders in their
respective segments through innovative products and expansion of its existing network
spanning the geographical expanse of the country.

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CHAPTER 2
2.1 PLANT LAYOUT
2.1.1 Introduction
The plant is divided into the following area as shown in the figure below: -
 Machine Shop
 Engine Assembly
 Chassis Assembly
 Axle Assembly
 Welding Shop
 Cabin Paint Shop
 Cab Trim
 Testing and Dispatch
A large number of variants are produced in this facility, namely: -
 PRO 1000 Series – PRO 1049, PRO 1050, PRO 1055, PRO 1055K, PRO 1055
(DSD), PRO 1055 T, PRO 1059, PRO 1059XP, PRO 1075, PRO 1080XP.
 PRO 3000 Series – PRO 3012, PRO 3014, PRO 3015, PRO 3016.
 PRO 5000 Series – PRO 5016, PRO 5025, PRO 5031, PRO 5016T, PRO 5035, PRO
5040.
 PRO 6000 Series – PRO 6025, PRO 6040, PRO 6025T, PRO 6031, PRO 6037, PRO
6025T FE, PRO 6025T TM.
 PRO 8000 Series – PRO 8025T, PRO 8031, PRO 8031T, PRO 8031XM (8X40), PRO
8049 (6X2), PRO 8049 (6X4).
Fig 1. Line Diagram of Plant Layout

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2.1.2 Engine Line
As the course of internship started, an opportunity was given to study the assembly of various
parts of Engine held at different stations in Engine line.
At VECV, four basic types of engine are manufactured, i.e.
1. 4 Cylinder - 2 Valve
Now based on its requirement, various parts are assembled over the casted engine block at the
engine line. There are 3 different lines within engine line i.e. PRB Line, AGV 1 Line, AGV 2
Line.
Fig 2. Engine Line
At PRB (Power Roller Bed) Line, roller conveyor carries the engine block and at different
stations, various parts are assembled over the casted engine block:
 Idler Gear
 Cooling Jet
 Crank Shaft
 Cam Shaft
 Water pump
 Flywheel
 Damper Pulley
 Auto tensioner
Engine
Line
PRB Line AGV 1 Line AGV 2 Line

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Fig 3. Power Roller Bed (PRB) Line
From PRB Line, the engine block is transferred to AGV1(Automated Guided Vehicle) Line
through EMS (Electric Monorail System), at the first station, the engine is mounted to AGVs
and further following parts are assembled:
 Piston
 Connecting Rod
 Oil Pan
 Cylinder Head
 Fuel Injection Pump
 Oil Cooler
From AGV1 Line, the engine block is carried over to trolley truck using a hoist and is
transferred to AGV2(Automated Guided Vehicle) Line where following parts are assembled:
 Turbocharger
 Wiring Harness
 Engine Management System
 Exhaust Gas Recirculation system
Now AGV is programmed such that it returns back from last station (where the engine is un-
mounted) to the first station of AGV1 Line where cycle repeats and the engine gets mounted
over the AGV again.

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Fig 4. Engine Line Layout
2.2 PROJECT DETAILS
2.2.1 Introduction
At Engine Line, particularly at AGV1 line, there are 9 stations where different operations are
performed such as assembly of various parts over the engine block as well as its tightening.
At station AGV1 15RH and AGV1 16RH, two FANUC robots are installed namely Sealant
Robot and DCNR (DC Nut Runner) Robot respectively.
At AGV1 line, twelve Electro-magnetic AGVs are installed on which engine is mounted for
the assembly to be carried out.
2.2.2 Automated Guided Vehicle (AGV)
An automatic guided vehicle (AGV) is a mobile robot that follows wires or markers in the
floor or uses vision, magnets or lasers for navigation. They are most often used in industrial
applications to move materials around a manufacturing facility or warehouse. AGV can also
carry loads or tow objects behind them in trailers. The trailers can be used to move raw
materials or finished products. AGV is also used in an assembly line. There are four
components of AGV: Vehicle, Guided path, Control unit, Computer interface.
Sealant
Robot
DCNR
Robot

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There are different types of the navigation system in AGV. Some of them are Wired
Navigation, Laser Target Navigation, Guide Tape Navigation. At VECV, wired navigated
AGV system is installed whose path is based on the principle of Electro-Magnetic Induction.
Electric wiring is done 12mm beneath the floor.
At AGV1 Line, the engine is mounted over the AGV which moves from one station to
another for assembly of various parts. AGV opts since it reduces labour cost, flexible,
intelligent, less time consuming, reduces the cost of production & warehouse.
Fig 5. Automated Guided Vehicle (AGV)
2.2.3 Industrial Robot
An industrial robot is a general-purpose, programmable machine possessing certain
anthropomorphic characteristics. The mechanical arm is the most common characteristic of
an industrial arm and is used to perform various industrial tasks. Making decisions, the
capability to communicate with other machines, and capability to respond to sensory inputs
are the important attributes of an industrial robot. These capabilities allow the robots to be
more versatile in nature. It involves the coordinated control of multiple axes (joints) and uses
dedicated digital computers as controllers.
A robot joint is a mechanism that permits relative movement between parts of a robot arm.
The joints of a robot are designed to enable the robot to move its end-effector along a path

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from one position to another as desired. The basic movements required for the desired motion
of most industrial robots are rotational, radial and vertical movement.
Two FANUC Robot Series R-30+B Mate CONTROLLER is installed at AGV1 15RH and
AGV1 16RH stations where an operation for placing of oil pan by Sealant Robot as well as
tightening of bolts by DCNR Robot takes place.
Fig 6. Industrial Robot

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CHAPTER 3
3.1. PROJECT 1
3.1.1 ProjectHighlight (Station - AGV1 15RH)
At Station AGV1 15RH, FANUC Robot having ‘four grippers and vacuum pad’ assembly as
end-effector is installed. It is programmed such that robot picks up the oil pan from the
shuttle. Then it revolves about its axis from where ANABOND Sealant dispenses from the
nozzle and follows the profile of the oil pan. The robot places the oil pan over the sump face
of the engine block which is mounted on AGV.
Fig 7. Sealant Robot

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3.1.2 ProblemStatement
When AGV arrives at station AGV1 15RH, the robot can’t accurately place the oil pan over
the sump face of the engine block. There is some offset while placing the oil pan and operator
has to manually shift the oil pan to its accurate position for placing the hex bolt in the bore.
This problem can occur due to various reasons which are shown below:
Fig 8. Shows the schematic diagram of AGV which describes the path followed by AGV at
station AGV1 15RH.

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Fig 9. Schematic Diagram Of AGV
3.1.3 Methodology
At Station AGV1 15RH, Fixed Vision Camera is installed. As AGV reaches the station and
stops, vision camera captures its image and compares it with master AGV. AGV# 8 is the
master AGV at AGV1 Line and is set as a reference. It is programmed with Robot and
Teaching Pendant.
 To overcome the above-mentioned problem, the reference of the AGVs should be
redefined and for that purpose different data is recorded i.e.
 Offset in x- & y- direction w.r.t. reference value
 Encoder angle
 Spirit level
 Offset while placing oil pan over sump face
 Different graphs between mean, median and range along x- and y-direction are plotted
against AGV No.
 After analysing the recorded statistical data, the median of medians of individual
AGVs is calculated. Then this value is set as a reference value.

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During Shift A, around 80-100 engines are manufactured daily. Data is recorded and is
analysed. From 21st May 2018 to 26th June 2018, 637 readings were noted down and analysis
was done on MS Excel.
The accuracy of data collected is excellent when values of x, y, r, encoder angle lies with its
range. It is observed that most of the time, robot places the oil pan accurately when:
 -10 < x < 10
 -10 < y < 10
 -1 < r < 1
 179 < Encoder Angle < 181
 Range < 20
 -10 < Mean < 10
 -10 < Median < 10
Table 1. shows a number of engines manufactured per AGV from 21st May to 26th June 2018
during Shift-A.
AGV NO. Frequency
1 60
2 63
3 60
4 59
5 51
6 57
7 54
8 59
9 58
10 62
11 0
12 54
Total 637

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Table 2.A sample of recorded data is shown below:

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Now following Graphs are plotted so as to determine the problem and co-relate various
factors to achieve better output.
1. Graph 1 shows offset(mm) of AGVs along x- coordinate as captured by fixed vision
camera.
2. Graph 2 shows offset(mm) of AGVs along y- coordinate as captured by fixed vision
camera.
3. Graph 3 shows Median(x) vs AGV# along with its trend.
4. Graph 4 shows Median(y) vs AGV# along with its trend.
Graph 1. offset(mm) of AGVs along x- coordinate as captured by fixed vision camera.

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Graph 2. offset(mm) of AGVs along y- coordinate as captured by fixed vision camera.
Graph 3. Median(x) vs AGV# along with its trend.

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Graph 4. Median(y) vs AGV# along with its trend.
After collecting around 55 readings per AGV, analysis on the scattering of offset of x and y
coordinates was done and the conclusion was drawn to change the reference value as well as
master AGV.
Median of Medians of x and y value is shown in Graph 3 and Graph 4 by red dots. Hence (x,
y) = (3.9, -33.55) can be set as a new reference and accordingly position of RFID reader can
be changed during the shutdown period.
From Graph 1 and Graph 2, it is clear that AGV# 7 is least scattered and is concentrated
along x- and y-axis. Moreover, placing of oil pan over sump face of engine block was
excellent in case of AGV#7. Consistent performance of AGV#7

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3.2. PROJECT 2
3.2.1 ProjectHighlight (Station - AGV1 16RH)
Then operator manually places the hexagonal bolt in the bores. AGV moves forward and at
Station AGV1 16RH, tightening of bolts by DCNR Robot takes place. DCNR Robot has hexa
Socket as an end effector. It tightens the bolt to a set torque value of 31.25 Nm.
As AGV stops at Station AGV1 16RH, if rightly scanned, robot-mounted vision camera will
capture the image of the oil pan. If AGV stops within the range of set reference, tightening
DCNR Robot activates and tightens the bolt. Firstly, corner bolts are tightened followed by
other bolts in sequence.
For Heavy and Light duty engines, a number of bolts tightened are different. Hence cycle
time varies proportionally. Therefore, robot is programmed Model-wise.
Engine Model No. of Bolts Cycle Time(sec)
4C 2V 22 133
4C 4V 25 142
6C 2V 33 176
6C 4V 33 176
Due to some error (human, robot or AGV), the robot may not be able to tighten all the bolts
to set torque value. In that case, alarm buzzes and the operator manually tighten the bolt in
the next station followed by POKA YOKE (Torque Limiter). Then only new AGV can enter
Station AGV1 16RH.
If any obstacle enters the maintenance area, a sensor installed gets activated such that robot
suddenly stops at its place. Then as the area becomes obstacle free, operator presses ‘Faulty
Reset Button’ followed by ‘Cycle Start’ from the controller board.

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Fig 10. DCNR Robot
3.2.2 ProblemStatement
When engine mounted on AGV arrives at Station AGV1 16RH, Robot is unable to tight all
the bolts to a set value. In the next station, the operator has to gun the bolts for proper
tightening. Problems that occur are at Station AGV1 16RH are:
1. Sometimes robot over-torques the bolt which is not preferable.
2. Socket Disengaged or Unable to Engage
3. Operator fails to place the bolt in the bore.
4. If robot fails to tighten the bolt at its first attempt, robot is unable to lift up and fails to
engage again. Thus, bolt tightening misses.
The reasons because of which robot is unable to tighten the bolts are:
 Relative Movement of AGV and Robot
 Wear of socket thread

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 Inaccurate Reference
 False Engine Card Scanned
 Operator’s Fault
 The obstacle in the path of AGV, which leads to fuzzy logic principle and AGV stops
at some offset.
Fig 11. Bolt Missed by Robot
3.3.3 Methodology
At Station AGV1 16RH, Robot Mounted Vision Camera is installed which captures the
image of the engine block and compares its reference value. AGV# 8 is the master AGV at
AGV1 Line and is set as a reference. It is programmed with Robot and Teaching Pendant.
 To overcome the above-mentioned problem, the reference of the AGVs should be
redefined and for that purpose different data is recorded i.e.
 Offset in x- & y- direction w.r.t. reference value
 Encoder angle
 Number of Bolts missed
 Missed Bolt No.
 Scatter Graph of x- & y-coordinates are plotted against AGV#
 Column Graph of Status OK-NOK for twelve AGVs as well as for four Variants is
plotted.
 Implementation of re-heat cycle.

26
During Shift A, around 80-100 engines are manufactured daily. Data is recorded and is
analysed. From 5th June 2018 to 21st June 2018, 513 readings were noted down and analysis
was done on MS Excel. The table below shows the data for 513 engines manufactured from
5th June 2018 to 21st June 2018 during Shift-A.
The table shows the overall data collected. Column 1 represents the AGV Number and data is
recorded AGV wise. Column 2 shows no. of engines manufactured per AGV. Column 3 tell
no. of OK Engines per AGV, i.e. no. of engines when bolts were tightened properly. Column
4 tells no. of NOT OK Engines per AGV, i.e. no. of engines when bolts weren’t tightened
properly. This may be due to Over-torque or Socket Disengagement issue. Column 5&6
shows Percentage OK & Percentage NOT-OK respectively. Further beyond Column 6,
variant wise status OK and status NOT-OK is shown.
Table 3. The accuracy of data collected is excellent when values of x, y, r, encoder angle lies
with its range. It is observed that most of the time, robot tightens the oil pan when:
 -10 < x < 10
 -10 < y < 10
 -1 < r < 1
 179 < Encoder Angle < 181
 Range < 20
 -10 < Mean < 10
 -10 < Median < 10
AGV
No. Count OK NOK
%
OK
%
NOK 4C2V
4C2V
OK
4C2V
NOK 4C4V
4C4V
OK
4C4V
NOK 6C2V
6C2V
OK
6C2V
NOK 6C4V
6C4V
OK
6C4V
NOK
1 46 41 5 89.2 10.8 24 24 0 13 11 2 1 0 1 8 6 2
2 49 48 1 97.9 2.1 24 24 0 16 16 0 2 2 0 7 6 1
3 47 43 4 91.5 8.5 21 20 1 19 16 3 0 0 0 7 7 0
4 42 41 1 97.4 2.6 26 26 0 12 11 1 1 1 0 3 3 0
5 50 46 4 92.0 8.0 28 28 0 15 12 3 1 1 0 6 5 1
6 45 37 8 82.2 17.8 26 23 3 14 11 3 1 1 0 4 2 2
7 46 42 4 91.3 8.7 27 27 0 14 10 4 1 1 0 4 4 0
8 43 38 5 88.4 11.6 24 24 0 12 8 4 1 1 0 6 5 1
9 53 48 5 90.5 9.5 27 26 1 16 13 3 2 2 0 8 7 1
10 46 40 6 86.9 13.1 20 19 1 16 12 4 1 1 0 9 8 1
11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
12 46 44 2 95.6 4.4 28 27 1 14 13 1 1 1 0 3 3 0
Total 513 468 45 91.2 8.8 275 268 7 161 133 28 12 11 1 65 56 9

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Table 3.A sample recorded is shown below:
Now following Graphs are plotted so as to determine the problem and co-relate various
factors to achieve better output.
1. Graph 5 shows Variant wise Bolt Status OK-NOK
2. Graph 6 shows AGV wise Bolt Status OK-NOK
3. Graph 7 shows Median(x) vs AGV# along with its trend.
4. Graph 8 shows Median(y) vs AGV# along with its trend.

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Graph 5. Variant wise Bolt Status OK-NOK
Graph 6. AGV wise Bolt Status OK-NOK

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Graph 7. Median(x) vs AGV# along with its trend.
Graph 8. Median(y) vs AGV# along with its trend.

30
After analysing the recorded statistical data, the median of medians of individual AGVs was
calculated. About 50 readings were taken per AGV, and it was observed from the scattering
that AGV#7 showed optimised result and can be made as Master AGV. Since changing the
position of RFID reader of AGV at one station will also affect its offset at another station. At
station AGV1 15RH as well, AGV#7 showed excellent result and at station AGV1 16RH, it
showed the optimised result. Moreover trend-line of medians for both the stations per AGV
has same slope. Hence (x, y) = (3.7mm, -6.2mm) can be set as a new reference and
accordingly position of RFID (Radio Frequency Identification) reader can be changed during
the shutdown period.
After programming re-heat cycle, it is observed that output gets improved.
Also, Teaching was done and was concluded that Socket has to be changed since it fails to
engage properly with bolts.
It is observed that a large number of times, the same bolt was missed for 6C4V variant and
the robot has to be re-programmed during the shutdown period.

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4.Conclusion
It was a wonderful learning experience at VE COMMERCIAL VEHICLE Ltd. for six weeks
in Pithampur Indore (M.P). I gained a lot of insight regarding almost every aspect of plant. I
was given exposure in almost all the departments at the plant. The friendly welcome from all
the employees is appreciating, sharing their experience and giving their peace of wisdom
which, they have gained in long journey of work. I am very much thankful for the wonderful
facility from VE COMMERCIAL VEHICLE Ltd. I hope this experience will surely help me
in my future and also in shaping my career.
I am pretty sure that this facility has ability to achieve its goals as stated in vision
statement.by following their quality statement.

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