productivity enhancement through optimization lead time ...vipulkumar v. mori1 yuvrajsinh b....
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IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 03, 2015 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 1235
Productivity Enhancement through Optimization Lead Time by Use of
Time Study and Lean Tool’s For Assembly of “ATUL GEM” Vehicles
Vipulkumar V. Mori1 Yuvrajsinh B. Kanchava
2 Pravin A. karetha
3 Shailendra N. Sharma
4
1PG Student,
2Asst. Prof.
3Assembly manager
4General Manager- HR & Admin
1,2Department of Mechanical Engineering
1,2Atmiya institute of technology and science Rajkot- Gujarat, India
3,4ATUL AUTO LTD. Rajkot-
Gujrat, India Abstract— This paper focuses on productivity improvement
efforts for an assembly of “ATUL GEM” vehicles, the goal
of this paper is reduce manufacturing lead time with
minimize fatigue of worker by use of time study and lean
manufacturing methods. This paper investigated and
searched for possible solutions and alternatives aimed at
achieving the higher productivity using some methods like a
for predict the changes expected to occur in the assembly
lines. This paper identified how simple methods can be used
to improve the rate of production in vehicle assembly. By
making simple changes to the process, it can reduce the time
taken for each operation to improve the production rate.
Productivity improvement is achieved through analyzing the
current method by eliminating un-necessary movements by
use of standard operating procedure, reducing cycle time
and providing appropriate solutions to various problems
during the assembly of components to improve productivity.
Key words: Productivity, Quality, Lead time, Time study,
Lean tools, Cost, Eliminating wastes.
I. INTRODUCTION
Productivity is a measure of how well a production unit uses
its resources. We measure productivity as units of output per
unit of input. Productivity is typically represented by some
version of the following equation:
Productivity = Q/X
Where Q is output and X is input. Output includes all of the
goods and services produced and sold. Input includes all of
the materials, services, machinery usage, and efforts
expended in the production of the outputs.
The following are the productivity drivers.
1) Human resources
2) Education
3) Work environment
4) Capital
5) Quantity of capital
6) Quality of capital
7) Technology and innovation
8) Research and development
9) Process improvement and commitment to quality
10) Competition and innovation
11) Management skill and innovation
12) Defining features of kobayashi’s 20 keys
II. LITERATURE REVIEW
[1.] The elimination of unnecessary work and the design of
methods and procedures are the most important objectives
of motion and time study.
Standard Time=Normal time + Allowances.
Normal Time= Observed time*Rating factor.
Observed time= Direct stop watch time in seconds.
By use of above three equations we can easily find the
standard time of each operation.
[3.] The two basic principles for the manual assembly the
parallel arrangement of stations, and the sequential
arrangement. A theoretical model for the possible output as
function of production volume, number of assembly
operations, number of product variants, and station
operation time imbalance is presented. This model enables
prediction of the performance and selection of the optimal
system for a given set of conditions.
The parallel operation is best one compare to sequential
operation.
[4.] Automation in a manufacturing shop is one of the most
challenging tasks, as it has an impact of many interrelated
variables and parameters. Automation is a broad field
among other engineering disciplines. The major activities of
Automation stem from manufacturing industries and include
cycle time improvement, productivity improvement, cost
reduction, efficiency improvement, materials handling,
Productivity Enhancement through Optimization Lead Time by Use of Time Study and Lean Tool’s For Assembly of “ATUL GEM” Vehicles
(IJSRD/Vol. 3/Issue 03/2015/299)
All rights reserved by www.ijsrd.com 1236
analyze and improve the work methods, to eliminate waste
and proper allocation and utilization of resources. A detailed
study by large data acquisition and analysis is essential for
understanding the trends in productivity improvement.
Productivity improvement is achieved through analyzing the
current method by eliminating un-necessary movements,
reducing cycle time and providing appropriate solutions to
various problems during the machining of components to
improve productivity.
[5.] The productivity improvement is basically depends
upon company process analysis. After process analysis for
the current process plan of the company, identified some
spaces where we were having chance for improvement.
From that we reach to the conclusion, some modifications
are required in the process plan, current plant layout with the
help of which we can improve the productivity up to
satisfactory requirement. Main part of the study are
methodologies used currently, working conditions with
which staff is working as well as the material handling map
for the jobs inside the premises of company which is used
for the job from raw material to finished goods.
[6.] The eliminating non-productive activities like reworks
in industries time as well as cost are saved by ensuring
quality production which have an important impact on
overall factory economy.
[7.] To improve the productivity in a manufacturing
company by putting light on some specific areas of
manufacturing like plant layout, material movement, waste
of materials, poor workmanship by using cellular
manufacturing and work-study techniques. Cellular
manufacturing is mainly based on group technology which
utilizes the method of standardization and similarity of parts.
In this process the machines are grouped according to
similar parts no. Improving productivity through time and
motion study is used in the manufacturing sector. Work
study consists of two aspects method study and work
measurement which when applied effectively results to
higher productivity. In this method average time is
calculated as according to new machine layout for
completing a job at different work stations.
[8.] The effective layout model where to hit upon the
bottleneck process through benchmark capacity and led us
to use balancing process using two separate concept of
manufacturing processes- modular line and Traditional
system both together. Balancing method is very essential to
make the production flow almost smoother compare to the
previous layout. Considering working distance, type of
machines and efficiency, workers who have extra time to
work after completing their works, have been shared their
work to complete the bottleneck processes.
[10.] Kaizen means Continuous Improvement, This
requirement is focusing on optimization of cycle time,
reduction non value added work (3M-Muda, Muri, Mura),
Kaizen: Continuous Improvement. In Japanese Kaizen is for
continuous automated improvement designed to eliminate
waste on resources of manufacturing system i.e. machinery,
material, worker and production methods. Improvement in
the productivity achieved and elimination of non value
added activities has been done. The cost of operation is
reduced considerably. Optimization of cycle time study is
helpful for low cost automation and bench marking activity
at industry Production improvement level.
[13.] The term “bottleneck” is used to describe a point of
congestion in any system from computer networks to a
factory assembly line. In such a system, there is always
some process, task, machine, etc. that is the limiting factor
preventing a greater throughput and thus determines the
capacity of the entire system. Knowing the bottleneck
allows increasing the flow by improving just one process in
the system rather than all its remaining parts. Vice versa, if
there is a bottleneck, nothing done elsewhere in the value
stream can improve the throughput Both theory and practice
of production management pay great attention to the
bottleneck analysis in order to increase throughput of a
production system, i.e. the rate at which the system
generates money through sales of its products. The
bottleneck in production system occurs when workloads
arrive at a given point more quickly than that point can
handle them. The bottleneck situation causes unneeded
inventory and prolongs manufacturing lead times. In a wider
sense of the word, any element of a production system
(machine, conveyor, AGV, buffer, labor etc.) can turn to a
bottleneck.
[14.] The 5S is a set of straight forward steps towards
continual improvement. Implementation of the 5S can
improve the quality, productivity and working conditions in
the organizations. The 5S is an effective management tool
which can improve housekeeping, environmental conditions
and health and safety standards. 5S sort stage eliminates
unused, unwanted material from the shop floor which
reduces clutter.
SEIRI [Sort]
SEIRON [Set in order]
SEISO [Shine]
SEIKETSU [Standardize]
SHITSUKE [Sustain]
III. TIME STUDY SHEET FOR STANDARD TIME CALCULATION
BY USE OF OBSERVED TIME, RATING AND ALLOWANCES IN
PRE-CONVEYOR.
N
o
Operation
name
Obser
ved
time
in
secon
d
(A)
Rati
ng
(B)
Normal
time=
(A)*(B)
=(C)
Allo
w-
anc
es
(D)
Stan
ad-
ard.
Tim
e
=C+
D
1
Rubber
Grommet
Assembly
84 1.2 100.8 12
%
127.
10
2
6 Wire
Assembly
in
Grommet
(Gear
shifting,
Gear
realize,
Accelerat
80 1.2 96 12
%
122.
3
Productivity Enhancement through Optimization Lead Time by Use of Time Study and Lean Tool’s For Assembly of “ATUL GEM” Vehicles
(IJSRD/Vol. 3/Issue 03/2015/299)
All rights reserved by www.ijsrd.com 1237
or,
Clutch,
Decompre
ssion,
Stop.)
3
Front
Wiring
Harness
104 1.2 124.8 12
%
151.
1
4
Insulation
Tube
95 1.2 114 12
%
140.
3
5
Rear
Wiring
Assembly
118 1.2 141.6 12
%
167.
9
6
Bedding
and
Company
Logo
Assembly
180 1.2 216 12
%
242.
3
7
Horn
Fitting
25 1.2 30 12
% 56.3
8
Triangle
And
Engine
Support
Assembly
In
Chassis(5
Men)
620 1.3 806 12
%
937.
5
9
Front
Steering
Assembly
120 1.2 144 12
%
170.
3
1
0
Engine
Mounting
on
Chassis
By use
Robotic
Arm(3Me
n)
291 1.3 378.3 12
%
457.
2
1
1
Pre-
Conveyor
To
Conveyor
40 1.2 48 12
% 74.3
Stage
1
2 Total 1757 2199.5
264
6.3
IV. TIME STUDY SHEET FOR STANDARD TIME CALCULATION
BY USE OF OBSERVED TIME, RATING AND ALLOWANCES IN
ASSEMBLY LINE.
N
o.
Operation
name
Obse
rved
time
in
seco
nd
(A)
Rat
ing
(B)
Norma
l time=
(A)*(B
)=(C)
All
ow-
anc
es
(D)
Sta
nad
-
ard.
tim
e
=C
+D
1
Mounting
(Earthling
Wire, Lower
Cup For
Engine
Support,
Tightness
With Air
Gun)(2 men)
198 1.2 237.6 12
%
290
.2
2
Rear Axle
Fitting (3
Bolt
Connection
In Right &
Left Side)(2-
Men)
200 1.2 240 12
%
292
.6
3
Fuel Tank
Assembly
77 1.2 92.4 12
%
118
.7
4
Air Filter
And Diesel
Filter
(2 Men)
314 1.2 376.8 12
%
429
.4
5
Front Head
Light Fitting
(2 Men)
270 1.2 324 12
%
376
.6
6
Dess Board
Fitting
220 1.2 264 12
%
290
.3
7
Front Mud
Guard
Assembly
And Atoll
220 1.2 264 12
%
316
.6
Productivity Enhancement through Optimization Lead Time by Use of Time Study and Lean Tool’s For Assembly of “ATUL GEM” Vehicles
(IJSRD/Vol. 3/Issue 03/2015/299)
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Mud Flap
Assembly (2
Men)
8
Front Fork
Assembly(St
eering
Mechanism)(
2 Men)
164 1.3 196.8 12
%
249
.4
9
Brake Pipe
Fitting For
Front Side
And Rear
Side (2
Men)
290 1.2 348 12
%
400
.6
1
0
Automatic
Suction And
Compression
Process By
Use Of Eva
And Fill
Automatic
Machine
105 1.3 126 12
%
152
.3
1
1
Brake
Assembly
Pedal,
Spring, Rear
Connection.
128 1.2 153.6 12
%
179
.9
1
2
Battery
Fitting And
Lock Battery
45 1.2 54 12
%
80.
3
1
3
Spare wheel
Fitting By
Use of 2
Grommets
55 1.2 66 12
%
92.
3
1
4
Jack,
Tommy, and
L-Spanner
Fitting On
Chassis
60 1.2 72 12
%
98.
3
1
5
7 Wire
Assembly(St
art, Stop,
Accelerator,
Clutch, Front
Gear,
Reverse
Gear,
660 1.2 792 12
%
818
.3
Decompressi
on)(2Men)
1
6
3 Wheel
Fitting
(manually)
90 1.2 108 12
%
134
.3
1
7
Total 12 Bolt
Tighten By
gun
100 1.2 120 12
%
146
.3
1
8
Rear Mud
Guard
Fettling
(Both Sides)
170 1.2 204 12
%
230
.3
1
9
Engine
Cover
Assembly
(Down
Sides)
250 1.2 300 12
%
326
.3
2
0
Silencer
Assembly
(2Men)
160 1.2 192 12
%
244
.6
2
1
Total 10Bolt
Tighten With
Air Gun
110 1.2 132 12
%
158
.3
2
2
Body Pick
And Place (2
Men)
80 1.2 96 12
%
148
.6
2
3
Body
Mounting
And Total 4
Bolt Tighten
By Air Gun.
220 1.2 264 12
%
290
.3
2
4
Closer
Fitting Both
Sides
(2 Men)
220 1.2 264 12
%
316
.6
2
5
Rear
Indicator
fitting (2
Men)
150 1.3 180 12
%
232
.6
2
6 Rear Seat
Pick And 30 1.2 36
12
%
62.
3
Productivity Enhancement through Optimization Lead Time by Use of Time Study and Lean Tool’s For Assembly of “ATUL GEM” Vehicles
(IJSRD/Vol. 3/Issue 03/2015/299)
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Place
2
7
Rear Seat
fitting In
Body
( 2 men)
180 1.3 216 12
%
268
.6
2
8
Vehicle
Dispatch
From
Conveyor
Line
100 1.2 120 12
%
126
.3
2
9 Total
687
1.2
V. TIME STUDY CHART
A. Time study chart for Pre-conveyor
B. Time study chart for conveyor operation
C. Time study chart for conveyor stages operation
D. Time study chart for conveyor stage 1 to 13
VI. TOTAL LEAD TIME REDUCTION FOR CONVEYOR STAGES
A. Solution no. 1.use automation
Before (Manual) Solution( Automation)
Manual Suction and
Compression Process.
Automatic Suction And
Compression Process.
Low Efficiency Of Brake.
Highly Efficient Brake
Number Of Worker
Required=2
Number Of Worker
Required=1
Total observed operation
Time=205 Seconds
Total observed Operation
Time=110 Seconds
Total observed operation
Time a Day=130(205)
=26650 Seconds.
Total observed Operation
Time a Day=130(110)
=14300 Seconds.
84 80
104 95
118
180
40
155
120
97
40
0
20
40
60
80
100
120
140
160
180
200Time in seconds
90 100
77
157
135
220
110
82
145
187
128
45 55 60
150
90 100
170
250
80
110
40
220
110
75
30
90 100
0
50
100
150
200
250
300
O-1
O-3
O-5
O-7
O-9
O-1
1
O-1
3
O-1
5
O-1
7
O-1
9
O-2
1
O-2
3
O-2
5
O-2
7
Time in Seconds.
99 77
135 110
145
45
150 170
80
40
110
30
100 100
157
220
82
210
55
90
250
110
220
75 90
0
0
50
100
150
200
250
300 operation1
operation-2
operation-3
199 234
355
192
453
166
340
420
190
260
185
120 100
0
100
200
300
400
500Time in seconds
Productivity Enhancement through Optimization Lead Time by Use of Time Study and Lean Tool’s For Assembly of “ATUL GEM” Vehicles
(IJSRD/Vol. 3/Issue 03/2015/299)
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Before Time Study chart
After Time Study chart
B.
C. Solution no. 2. Use pan nut
Before (M06 Nut, Bolt,
Plastic Washer, steel nut)
Solution ( use Pan nut)
Here 4 Components Are
Used So Storage Space Is
High.
Only 2 Components Are
Used So Storage Space Is
Low.
Very Complex Process
For Use In Body Fitting
On Chassis.
Easy Process For Use In
body Fitting On Chassis.
It Is Done By highly
Skilled Worker Only.
This Is Done By Skill
Worker.
Total observed Operation
Time=220 Seconds.
Total observed Operation
Time=170 Seconds.
Total observed Operation
Time a Day=130(220)
Total observed Operation
Time a Day=130(170)
=28600 Seconds. =22100 Seconds.
Before Nut ( M06) force analysis
After Nut( M06) Pan nut Force analysis
D. Solution No. 3 Air filter assembly
Before
Solution
Air filter storage in box at
assembly line
Air filter storage in a
different rack
More pick and place time
required at assembly line.
Pick and place time is
eliminated
Productivity Enhancement through Optimization Lead Time by Use of Time Study and Lean Tool’s For Assembly of “ATUL GEM” Vehicles
(IJSRD/Vol. 3/Issue 03/2015/299)
All rights reserved by www.ijsrd.com 1241
Total time required per
vehicle = 50 Seconds.
Total time required per
vehicle=15 Seconds .
Total time required per
day=130(50)= 6500
seconds.
Total time required per
day=130(15)= 1950
seconds.
E. Solution No.4. Indicator and head light fitting
Before
Solution
Required Separate Out
Indicator And Head
Light.
Head Light And
Indicator Both Are In
Separate Box
Total Time Is Taken By
Open 6 Screw=45s
Indicator And Head
Light Both Are In
Separate Box.
Total observed Time Is
Taken In Vehicle=45(2)
=90 Seconds.
In One Box 12 Head
Light And Another Box
Have 12 Indicator.
Total observed Time Is
Taken a Day=130(90)
=11700 Seconds.
Total observed Time Is
Taken a Day=130(15)
=1950 Seconds.
VII. TOTAL LEAD TIME REDUCTION
Operation
Before
observed
Time In
Seconds.
Solution
observed
Time In
Seconds.
Total
observed
Time
Reduction a
Day
(130
Vehicle) in
Seconds.
Evac N Fill
(Stage-05)
205
110
12350
Use Pan
Nut
(Stage-11)
220
170 6500
Proper
Storage
Box for
indicator.
(Stage-04)
90 15 9750
Proper
storage box
for air filter
50 15 4550
Productivity Enhancement through Optimization Lead Time by Use of Time Study and Lean Tool’s For Assembly of “ATUL GEM” Vehicles
(IJSRD/Vol. 3/Issue 03/2015/299)
All rights reserved by www.ijsrd.com 1242
VIII. CONCLUSION
If the rate of production is 130 vehicles per day and total
time required for each vehicle in assembly line is 4.30
hours. So by use of Time study, automation, 5’S, kaizen and
bottleneck analysis in assembly line operations, we can
minimize the total manufacturing lead time up to 33,150
seconds means 9.20 hours per day. So total manufacturing
lead time minimize per vehicle is 255 seconds means 4.25
minutes.
Finally we can minimize 9.20 hours per day and total time is
taken by each vehicles is 4.30 hours. So the rate of
production increases up to 2 vehicles per day. From
calculated total time required a vehicle is 2.38 hours so as
per vehicle requirement a day we can easily find out a man
power required a day.
So by use of various productivity improvement methods we
can increase the productivity with product quality and
minimize the rejection of material.
ACKNOWLEDGMENT
I express my cavernous sense of obligation and gratitude to
my guide Mr. Yuvrajsinh B. Kanchava for their guidance
and constant encouragement through this work. I am highly
obliged as my honourable guide have devoted his valuable
time and shared his expertise knowledge. I pay my profound
gratefulness to Mr. Pravin Karetha at ATUL AUTO LTD. -
Rajkot for giving me an opportunity to carry out the project
work. I must thank him for sparing his valuable time from
his busy schedule. I am also thankful to all employees of
ATUL AUTO LTD. who helped me directly or indirectly
for the work.
REFERENCES
[1] Khalid S. Al-Saleh. “Productivity improvement of a
motor vehicle inspection station using motion and time
study techniques” Journal of King Saud University –
Engineering Sciences (2011) 23, 33–41 accepted 31
January 2010.
[2] T. K. Lien “Hybrid Automatic-manual Assembly
Systems”
[3] Rohan Kulkarni, S. Shivakumar and Roopa K rao
“Productivity Improvement on a CNC Lathe by
Automatic Loading and Unloading of Throttle Valve
Component” International Journal of Scientific &
Engineering Research, Volume 2, Issue 12, December-
2011
[4] Priti Mandwe “Productivity Improvement Of
Crankshaft” International Journal of Scientific &
Engineering Research, Volume 2, Issue 07, July-2013
[5] Md. Mazedul Islam, Adnan Maroof Khan , Md.Mashiur
Rahman Khan “minimization of rework in quality and
productivity improvement in the apparel industry.
International Journal of Engineering and Applied
Sciences.
[6] Gyanendra Prasad Bagri1 and Rahul “Productivity
Improvement by Applying Cellular Manufacturing
Techniques in an Axle Manufacturing Company”
International Journal of Applied Engineering Research
ISSN 0973-4562 Volume 9, Number 4 (2014) pp. 385-
390. Research India Publications.
[7] Md. Rezaul Hasan Shumon, Kazi Arif-Uz-Zaman and
Azizur Rahman “Productivity Improvement through
Line Balancing in Apparel Industries” Proceedings of
the 2010 International Conference on Industrial
Engineering and Operations Management Dhaka,
Bangladesh, January 9 – 10, 2010
[8] sandip k. kumbhar, niranjan m.r, sanjay t.satpute.
“Assembly line production improvement by
optimization of cycle time”
[9] Hazri M. Rusli and Ahmed Jaffar “Implementation of
Lean Manufacturing through Supplier Kaizen
Framework - A Case Study” Proceedings of the 2014
International Conference on Industrial Engineering and
Operations Management Bali, Indonesia, January 7 – 9,
2014.
[10] P. M. Rojasra, M. N. Qureshi, “ Performance
Improvement through 5S in Small Scale Industry: A
case study” International Journal of Modern
Engineering Research (IJMER) www.ijmer.com Vol. 3,
Issue. 3, May - June 2013 pp-1654-1660.