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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2038
Production Line Optimization using Lean Tools: A case study of
Automotive Part Manufacturing Company
Akarsh Rahangdale1, Ramkrishna Bharsakade2, Sunil Kuber3
1Akarsh Rahangdale Industrial Engineering Dept. Vishwakarma Institute of Technology Pune, India
2Professor Ramkrishna Bharsakade Industrial Engineering Dept. Vishwakarma Institute of Technology Pune, India
3Professor Sunil Kuber Industrial Engineering Dept. Vishwakarma Institute of Technology Pune, India
-------------------------------------------------------------------------***------------------------------------------------------------------------
Abstract - Lean Manufacturing is the management
philosophy which is derived from the Toyota Production
System (TPS). The main aim of lean manufacturing is to
eliminate the waste and increase the productivity of any
organization. In any organization improving the
productivity is important. The study was conducted in an
automobile part manufacturing company situated in
Pune, India. The objective of the paper is to help the
organization improve the output productivity so as to
meet the customer demand. This research paper includes
the production line optimization by making use of various
Lean Tools like Spaghetti diagram, Single Minute
Exchange of Die (SMED), Production Planning, Manpower
optimization by Toyota Production Way (TPS), Standard
Work Combination Table (SWCT). By using this tools, the
output productivity of the production line was increased
by 32%, Back tracking of the material is eliminated,
Manpower is reduced by 22% and the Setup time is
reduced by 41-60%.
Key Words: Productivity Improvement, Production
planning, Spaghetti Diagram, SWCT, TPS way, Manpower
optimization, SMED.
1. INTRODUCTION
This research paper includes the study conducted in an
automobile part manufacturing company, at a
production line having two cells soft cell and hard cell.
Soft cell is machining of parts before heat treatment and
Hard cell is machining of parts after heat treatment.
Meeting with the customer demand is one of the prime
objective of any organization to grow and strive in a
competitive market. The problem faced in the
production was lack of planning so that the quantity of
1600 Nos. for 17- part variety was not able to meet. In
order to meet customer demand improving the
productivity was necessary. Productivity was improved
by using lean tools like method and time study,
production planning, spaghetti diagram, manpower
optimization by TPS way, Standard Work Combination
Table (SWCT), Single Minute Exchange of Die (SMED).
Time study is conducted for both planning and control of
operations. It’s essential to find out the time required for
doing a particular work which includes repetitive and
non-repetitive activities [1]. It provides the standard
time to complete any task for either a worker or for the
machine. Standard time is required for estimating the
time required to meet the demand [2]. It also helps us to
calculate the capacity, hourly output and helps in
production planning. Use of Gantt charts helps to plan
the schedule ahead. Spaghetti diagram is visual
representation of the flow of either material or work
flow. It helps us track the movement and eliminate
excess movement or back tracking of the material [7].
Unnecessary movement leads to loss in production time
leading to waste [8]. Toyota production system helps an
organization to optimize as per the requirement of the
customer [6]. Takt time is amount of time required to
produce the product to meet customer demand. Toyota
production system helps to optimize manpower keeping
the work content and that Takt time in consideration. To
optimize manpower one man multi machine can be
implemented. Standard Work Combination Table
(SWCT) helps to identify the idleness of the operator or
the machine and help to find out if 1 man multi machine
is possible or not. Whenever there is pattern production
frequent setup changes are required. Setups are done so
as to prepare the machine for production of other part
[12]. Setup time or change over time is the time period
from last good piece of last batch to first good piece of
new batch [10]. Setup time need to be less so the down
time is less and lowers the manufacturing cost. It
improves machine utilizations. Thus helping in
increasing the productivity.
2. LITERATURE REVIEW
A Case Study of Productivity Improvement by using IE
Tools. Authors - Satish Keru Raut, Kedar M. Relekar. This
research paper includes the application of time study in
an engine block manufacturing company. Productivity
problem between the shift and the management lead to
need of time study. It helped them set standard for a
production line.
Increasing in Productivity by Using Work Study in a
Manufacturing Industry. Authors - Shantideo Gujar, Dr.
Achal S. Shahare. In this research paper work study tools
were used to increase the efficiency and productivity of
the plant. It helped to improve the practices and increase
in the production rate by 11%.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2039
Productivity Improvement by Work Study Technique: A
Case on Leather Products Industry of Bangladesh.
Authors - Md. Abdul Moktadir, Sobur Ahmed, Fatema-
Tuj-Zohra and Razia Sultana. In this research paper using
work study as a tool to identify the bottleneck, then
taking time study to find out standard time productivity
increased by 12.71%.
Gantt charts: A centenary appreciation. Author - James
M. Wilson. In this research paper its shown how man and
machine planning is done by using gantt chart.
Use of Spaghetti Diagram for Identification and
Elimination of Waste Movements in Shop Floor for OEE
Improvement: A Case Study. Authors - Nagaraj A Raikar,
Prasanna Kattimani, Gaurish Walke. In this research
paper how to increase in the productivity of a line so as
to meet customer demand is given by reducing frequent
breakdown and long change over time. Unnecessary
movement was reduced by 70%.
Spaghetti diagram application for workers’ movement
analysis. Authors - Katarína Senderská, Albert Mareš,
Štefan Václav. In this research paper with the help of
spaghetti diagram time, distance travelled is identified,
evaluated and focus on reducing it.
Application of spaghetti chart for production process
streamlining. Case study. Author - K. Hys, A. Domagała.
In this research paper how to improve the process
conducted for an operation is given with the help of
spaghetti diagram. Eliminating the unnecessary process
with the help of spaghetti diagram 26.6% of movement
in steps have been eliminated.
Standardized work in TPS production line. Author -
Nurul Hayati Abdul Halim, Ahmed Jaffar, Noriah Yusoff,
Ahmad Adnan Naufal. In this research paper how to use
SWCT chart in Toyota production system is shown, with
the use of data like manual time, walking time, auto cycle
time of a machine so as to see if 1 man multi machine is
possible or not. Showing the idleness of either the
operator or the machine.
Literature Review and Implications of Standard Work
Implementation in Indian Industry- A Case Study.
Authors - Rakesh Kumar, Dr. Vikas Kumar. This paper
presents
implementation of Standard work enabler of Lean
Manufacturing in a manufacturing system. Standard
work combination tables specify exactly how all work is
performed. Thus finding the idle time of the operator
and improvement of the labor efficiency by providing
work to eliminate idleness.
Improving SMED in the Automotive Industry: A case
study. Authors - Ana Sofia Alves, Alexandra Tenera. In
this research paper various steps of SMED is given so as
to reduce the change over time of the machine. By
following the steps of identifying the internal and
external activity, then converting internal to external,
then streamlining all aspects the setup time was reduced
by 45%.
Changeover time reduction using SMED technique of
lean manufacturing. Authors -Yashwant R. Mali, Dr. K.H.
Inamdar. In this research paper we come to know how
low setup time is required where there is low volume
and high variety of products. Here by identifying the
internal and external activity, separating them, the
converting internal activity to external activity. Making
use of SMED trolley, setup time is reduced by 50%.
Application of SMED Programme of Lean Manufacturing
for Improving Overall Equipment Efficiency -A Case
Study. Authors - Gaurav Saini and Er. Harvinder Lal. In
this research paper in forging shop and forging press
was selected for reduction in setup time by using of
single minute exchange to die tool. By converting
internal to external activity, making use of pneumatic
spanner, making use of SMED trolley maintaining 5S,
setup time was reduced from 209.36 min to 167.09 min.
Implementation of SMED Technique to Reduce Setup
Time of Band saw Cutting Machine. Authors - Shashikant
Mendhe, Prof. M.G. Rathi. In this research paper a band
saw machine has been selected for reducing the setup
time. Analyzing the setup procedure by taking video.
Then identifying internal and external activity,
converting internal to external, validation of the
improvement such as 5S, parallel activity was
implemented. The setup time was reduced by 75%.
Improving Line Efficiency & SMED Study. Author -
Ashish Dhankhar, Sanjeev Kumar. In this research paper
the case study is conducted in an assembly plant, where
factors affecting line efficiency and SMED are identified
and dealt with. Factors like non-availability of material,
non-availability of operator, machine break down etc.
were identified. Video of Setup was taken then by
separating internal and external activity and converting
internal to external activity there by reducing the setup
time. The line efficiency was increased from 69.63% to
71.27%.
Reduction in Setup time on Rubber Moulding Machine
using SMED Technique. Authors - Mr. Sanket P. Gaikwad,
Mr. Shivprasad S. Avhad, Mr. Swapnil S. Pawar, Prof.
Pradnya R. Thorat. This paper includes the
implementation of SMED technique for moulding of
rubber to metal phosphate components for production
of anti-vibratory mountings which requires frequent
changeover. Implementation of new scissor type
stackers (two numbers), New standardized T-bolts, heat
resistant roller bearing with spring cushioning, mould
heating platen, shadow board, mould storage rack with
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2040
rollers helped reduce the setup time from 2 hours to 8
minutes.
3. PROBLEM STATEMENT
Meeting customer demand is one of the major factor
which any organization has to fulfill. The production line
where the study is done contains 17-part variety. As the
customer demand increased from 1100 to 1600 for 1st
month plant was not able to meet customer demand.
Further there was back tracking of material and material
flow was not properly streamlined (flow was crisscross),
Excess manpower and more change over time. Further in
steps followed to solve the problem are mentioned in
methodology.
4. METHODOLOGY
4.1 Data collection
For optimization of the production line the following
date is to be collected -
Identify the part family produced on the production line.
There are 3 main Types of parts namely Shafts, Gears &
Clutch body they are further divided in to various parts,
the classification of these parts are shown in the below
Fig. 1.
Fig- 1: Part Family
After Identifying the parts collect the data of the
Processes through which they pass with the help of the
Process flow diagram and for better understanding
making Product-Process matrix for soft cell as well as
Hard cell. The Product-Process matrix is shown in the
below Fig. 2. & Fig. 3
Fig- 2: Soft Cell Product Process Matrix
Fig- 3: Hard Cell Product Process Matrix
Now getting the information and Listing down the types
of machines are there in the production line. Discussing
with the line supervisor constrains of machine is duly
noted, as to which part has specific machine for the
operation and which parts can be machined on any
machine.
Conduction Time & Motion Study in order to determine
the time required for the part to be machined. The data
collected with the help of Time Study includes the Cycle
time, Loading-Unloading Time, In-process Inspection
Time.
In time study the following allowances were given as
shown in the Fig. 4.
Fig- 4: Allowance Table
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2041
Stop watch time study was taken and standard time for
each and every part was found out.
In the below Table 1. find the Time Study Sheet of a
machine in which standard time is calculated for a part
to be machined.
Table- 1: Standard Time calculation sheet
As there are various parts and they share common
machine which is pattern production there are setups so
initially collecting the data of current setup times.
4.2 Production Planning for1600 quantities
As we knew the cycle time and time required for each
parts number of days required for 1600 quantity was
calculated. Planning was done with the help of gantt
chart so as to achieve a quantity of 400 per week to get
1600 at the end of the month. A week planning was
made and given to the production and the same planning
was to be followed for the next 3 weeks. The gantt chart
of the planning is given is the Fig. 5. Below
Fig- 5: Gantt Chart of production Planning for 1 Week
4.3 Material Movement Tracking
While conducting the study it was observed that there
are mix up of the part parts and back tracking of the
material. In order to prevent the mixing of the material
and the back tracking spaghetti diagram was drawn. In
the Fig.6. Material movement of all the parts in soft cell is
plotted.
Fig- 6: Material movement before Layout change
After plotting the material movement diagram it was
observed that there is back tracking of the material and
crisscross flow. So layout changes were made
accordingly and as per the layout changes the material
flow is given in the Fig. 7. Below.
Machine
Part : 1st Gear on Main Shaft 1st Shift
Sr.No. Element Desc.
A Recurring element :
1 Pick up the part 2
2 Load the Part to the machine 8
3 Start Auto Cycle 240
4 Clean using Pnuematic air gun 2
5 Unload the job 9
Sub total 261.00
B Non recurring element :
1 Setup Time (Batch Size 400) 9.0
Normal Time 270.0
Manual time 21.0
Machine time 240
Relaxation Allownace ( 11 % ) 4.0
Standard Time in sec 274.0
C Autocyle elements ( parallel to element 3)
1 Inspect the Job 15
2 Keep Bins from Input to Output Sliders 10
Sub total 25.0
Quantity/Hour
1st shift Output 83 11.4
2nd shift Output 83 11.0
3rd shift Output 83 11.0
Per Day output 249
Time Study Sheet
Shaping SN4
Machine
ShapingLS
400
ShapingLS
150
Shaping
SN4
Hobbing
Cooper
Hobbing
MHI1
Hobbing
MHI2
Hobbing
LS153
Hobbing
PHA250
Deburring
Shaving
Hurth1
Shaving
Hurth2
Shaving
Hurth3
Tooth
Roofing
DAYS(6DaysaWeek&22.25HrsAvailablePerDay)
MONDAY TUESDAY WEDNESDAY FRIDAY SATURDAY SUNDAY
LayShaft12T(RevG)Qty-200 LayShaft12T(1stG)Qty-200
LayShaft12T(1stG)Qty-200
LayShaft12T(RevG)Qty-200
MainShaft18TQty-200 MainShaft18TQty-200 MainShaft35TQty-200 MainShaft18TQty-200MainShaft18TQty-200
LayShaft27TQty-200
LayShaft21TQty-
200 LayShaft27TQty-200 LayShaft21TQty-200
MainShaft27TQty-400 MainShaft27TQty-400
LayShaft12T(1stG)
LayShaft12T(RevG)
Qty- 200 LayShaft21TQty-200
LayShaft12T(1stG)
Qty-200
LayShaft12T(RevG)
Qty- 200
LayShaft21TQty-
200
1stGearonMS28TQty- 400
1stGearonMS38TQty- 400
1stGearonMS38TQty- 400
2ndGearonMS28TQty- 400
2ndGearonMS34TQty- 400
2ndGearonMS34TQty- 400
3rdGearonMS24TQty- 400 5thGearonMS24TQty-400
3rdGearonMS31TQty- 400
3rdGearonMS31TQty- 400
RevGearonMS33TQty-400
RevGearonMS33TQty-400
3rdGearonLS32TQty-400
3rdGearonLS32TQty-400
5thGearonLS46TQty-400
5thGearonLS46TQty-400
CMG 43T Qty-400
CMG 43T Qty-400
RIG19TQty-400
RIG19TQty-400
CB 3rdGear30TQty-400
CB 3rdGear30TQty-400
CB 4thGear30TQty-400
CB 4thGear30TQty-400
CB 5thGear30TQty-400
CB 5thGear30TQty-400
CB RevGear30TQty-400
CB 5thGear30TQty-400
DriveShaft18TQty-400
DriveShaft10TQty-400 Drive Shaft29TQty-400
DriveShaft29TQty-400
MainShaft35TQty-200
5thGearonMS25TQty-400
5thGearonMS25TQty-200
5thGearonMS25TQty-200
E
B A
B A
B A
D C B
C B
C B
C B
D C B A
A
B A
B A
B A
B A
C C C C
C
C
D
D
D
C
C
C
C B A
C B A
A
FML SOFT CELL MATERIAL MOVEMENT ON MACHINE
Drilling
Machine
A
A
A
Marking
D
Shaping
LS 400Jyoti VMC
Shaving Hurth
2
Hobbing
MHI 2
Shaping
SN 4GrindMaster Hobbing LS 153 ZK- 10
Shaving Hurth
3
Shaving Hurth
1
GrindMaster Hobbing PHA 250 ZK- 10 Hobbing
MHI 1
Shaping
LS 150
Hobbing Cooper B
B A
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2042
Fig- 7: Material movement after Layout change
After layout changes were made there is a stream line
flow and the back tracking of material is eliminated.
4.4 Manpower optimization by Toyota
Production (TPS) Way
The following steps are used to calculate the optimized
manpower.
Soft Cell →
Step 1 - Takt Time (TT) Calculation
Takt time is the rate at which the part is to manufacture
in order to meet the customer demand. It is calculated by
Takt Time = Available Time/Demand
Now the Total Time Available in a month is 25 days &
Demand is 25600 Quantity (1600 parts each)
Takt Time = 79 Sec
Step 2 - Actual Takt Time (ATT) Calculation
Actual Takt Time (ATT) = TT X 0.85
Actual Takt Time = 67.15 Sec
Step 3 - Manpower Calculation & Allocation
Manpower = ΣCT/ATT
ΣCT is the Manual work content, Calculating the Manual
work content for Soft Cell.
Soft Cell ΣCT = 513 Sec
Manpower (Soft Cell) = 8 Manpower
Hard Cell →
Step 1 - Takt Time (TT) Calculation
Takt time is the rate at which the part is to manufacture
in order to meet the customer demand. It is calculated by
Takt Time = Available Time/Demand
Now the Total Time Available in a month is 25 days &
Demand is 20800 Quantity (1600 parts each)
Takt Time = 96.27 Sec
Step 2 - Actual Takt Time (ATT) Calculation
Actual Takt Time (ATT) = TT X 0.85
Actual Takt Time = 81.82 Sec
Step 3 - Manpower Calculation & Allocation
Manpower = ΣCT/ATT
ΣCT is the Manual work content, Calculating the Manual
work content for Hard Cell.
Hard Cell ΣCT = 289 Sec
Manpower (Hard Cell) = 6 Manpower
After calculation of the manpower, allocation manpower
was done Fig. 8. and Fig. 9 will show the manpower
allocation below
Fig- 8: Manpower allocation in Soft Cell
Fig- 9: Manpower allocation in Hard Cell
D
D
D
D
E
E
E
A
C
C
C
C
E
F
Legend →
C
AB
A
A
A
A
B
B
B
ABC
A
C
B
B
ABC
ABC
D
C AB
ABD C
A
C
A
Hobbing PHA 250
AC B
BC
Hobbing
MHI 1
Shaping
LS 150
Hobbing Cooper
Rev GearOn MS Clutch body Rev Gear
C
3rd GearOn MS Clutch body 4th Gear
5th GearOn MS Clutch body 5th Gear
1st GearOn MS Reverse IdlerGear
2nd GearOn MS Clutch body 3rd Gear
Lay Shaft 5th GearOn LS
ZK- 10
Drive Shaft Constant Mesh Gear
Part Name Colour Part Name Colour
Main Shaft 3rd GearOn LS
D
D
E
FML SOFT CELL MATERIAL MOVEMENT ON MACHINE
Drilling
Machine
D
D C B
Marking
Shaping
LS 400Shaving Hurth
3
Shaving Hurth
1
Hobbing
MHI 2
Shaping
SN 4GrindMaster Hobbing LS 153
B
B A
ZK- 10
Jyoti VMC
Shaving Hurth
2
GrindMaster
Jyoti HURTH2 LS153 ZK10 MHI1 SN4 LS400
HURTH3 HURTH1 GM PHA250 ZK10 MHI2 LS150 COOPER
FMLSoftCell
SoftCell
Marking
FMLHardCell
SH40 IG 150
EG200 IG50
Caulking
HardCell
Washing
Jyoti Hard
Turning
Hi-Life Bemko Softning
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2043
Step 4 - Preparing Standard Work Content Table (SWCT)
where 1 man 2 machine is implemented for both Soft &
Hard cell.
The Standard Work Combination Table is shown in the
Fig.10. below. After drawing the SWCT chart wherever
there was possibility of 1 man 2 machine it was
implemented.
Fig- 10: SWCT Chart for 1 Man 2 Machine
With the help of this the manpower was optimized
(reduced).
4.5 Setup time reduction with SMED Technique
The following steps were used in the SMED technique.
Step 1. Do the video recording of the whole setup
process from last good piece of the last batch to the first
good piece of the next batch.
Step 2. Do video analysis and list down all the activities
Step 3. Identify the Internal and External Activities
Step 4. Convert Internal activity to external activity
where ever possible. If parallel activity can be done
implement it.
Step 5. Design the proposal including the improvements,
which activity to be performed by whom
Step 6. Implement the improvements suggested and
release a standard procedure to perform the setup.
Step 7. After the suggestions have been implemented
validate the whole process.
Table- 2: Activity Recorded & Identified as Int. or Ext.
Man Auto Walk
2
56.8 291 6
Wait 70.7
Returntothe 1stMachine
Total
ƩCT 62.8
Unload, Loadpart&StartAutocycle (MHI 2) 10.4 176
−
3 Inspectthe job(MHI 2) 14.4
2
4 Inspectthe job(MHI 1) 13.5
1 Unload, Loadpart&StartAutocycle (MHI 1) 18.5 115
2
2
110
115
120
125
130
135
105
50
55
60
65
70
75
140
Sr. No. Operation/Activity
Time
5
10
15
80
85
90
(MainShaft) &(MainShaft) ∑C.T 62.8 Auto
20
25
30
35
40
45
95
100
Walk
Process Hobbing T.T. Idle
Project FML
Standardized Work
Combination table
Date 10.03.2018
ProductionSchedule
Machine (MHI 1) &(MHI 2) A.T.T.
Phase
Man
Parts
Step
No.
Process(Operation)
Time
(sec)
Activity
Type
1 BringHobforthenextsetup(5thGearonLayShaft) 110 I
2 BringSpanner,Hammer,AllenKey,Pipe 681 I
3 Cleanthefixtureandthehobusedfor2ndgearMS 10 I
4
Rotatethefixturebypressingthebuttononthecontrolpannelandcleanthe
fixture
20 I
5 Shiftthelocationofhobawayfromthefixture 30 I
6 ByUsingtheAllenKeytoremovethescrewtoremovethe fixture(2screws) 65 I
7
Rotatethefixturebypressingthebuttononthecontrolpanelandremovethe
restofthe2screws
35 I
8
Holdthetopofthefixturebylefthand&Rotatethefixturetoloosenitandthen
removeit
25 I
9 KeeptheFixtureonthetableandcleanitwiththecloth 5 I
10
Removethebaseofthefixturebyholdingitandrotatingthefixtureholderand
keepitonthetable
92 I
11 Takethebaseofthefixturefor5thGearLSandcleanit 12 I
12 Fixthebaseofthefixturefor5thGearLS 109 I
13 Cleanthefixture&fixitbytightningit 44 I
14 PutScrewsonthefixtureandtightenit withthehelpofAllenkey 155 I
15 GoandBringDialGuage 10 I
16 AttachthedialguagetotheHobsidetosettherotationofthefixture 5 I
17
Rotatethefixturetocheckthedeviationandadjustitbyhammeringitwiththe
hammer
216 I
18 RemovetheDialguageandkeepitonthetable 5 I
19 RotatetheHobholderandbringitinthepositiontoremoveit 36 I
20 UseSpanner&Hammertolooseitonboththeendsandremovethehob 104 I
21 TakethehobHoldertothehobclamptoremovethehob 8 I
22 ClamptheHolderandloosethehobfor2ndGearMS 55 I
23 Cleanthehobholder 30 I
24 ClamptheHolderforputtingthehobfor5thgearLS 5 I
25 Bringthe5thgearlsHobtotheclamp 10 I
26 PuttheHobfor5thgearLSintheholderandtightenit 70 I
27 Takethehobbacktothemachine 10 I
28 Cleantheinsideofthemachinewherehobistobeclamped 10 I
29
FixtheHobinthemachinebyclampingitandtightningitwiththehelpofthe
spanner
110 I
30
Takethedialguagetosetnegligibledeviationwhilerotationofthehob,attach
thedialguagetotheoppositesideoftheHobholderandrotatetheHobtocheck
thedeviation
251 I
31 Takethe5thGearLSjobandcleanit 15 I
32 LoadtheJob 25 I
33 AdjusttheParametersonthemachine 337 I
34 ClosetheDoor&Startthemachine 5 I
35 AdjusttheHobandthe jobdistancebysizeadjustment 1203 I
36 Fillthesetupcontrolsheet 216 I
37 TakethejobtoCMMforinspection 1500 I
38 BringtheBinwhichcontaintheinputforthemachine 300 I
39 Loadandstartthemachine 12 I
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2044
Table- 3: Internal Converted to External Activities
Some of the improvement suggestions includes
1. Maintaining 5S so the time in searching for the tool is
saved. For maintaining 5S tool trolley was made. Fig. 11.
shows the tool trolley.
Fig- 11: Tool Trolley
2. Parallel activities performed by the operator while the
supervisor is doing the setup.
3. Rearranging the activities after setup which are not
required during the setup like cleaning of the last setup
tool, filling the setup sheet, filling the tool life monitoring
sheet.
4. Further the time required to search the data on
control sheet is eliminated by having a document that
only includes the parameters which needs to be feed to
the machine.
Similarly, by using the above steps and improvement
ideas setup time can be reduced for 8 other machines.
The following table shows the time reduced for the other
8 machines.
Table- 4: Reduction in Setup time machine wise
5. RESULT
By implementing the above techniques, the total output
capacity of the production line was increased from 1100
quantity per part to 1600. The back tracking and mixing
of the material was eliminated. Manpower was reduced
from 10 to 8 in Soft cell and 8 to 6 in Hard cell. Setup
time was reduced by 41 to 63%.
E C R S
1  External Canbebroughtwhilethemachineisrunning 110 0
2  External
Maintain5sandmakeseparatetrollyforonlykeeping
toolswhichcanbeboughtwhilemachineisrunning
60 621
3  Cleaningcanbedoneafterwards 0 10
4 20 0
5 30 0
6 65 0
7 35 0
8 0 25
9 5 0
10 92 0
11 12 0
12 109 0
13  External Cleaningcanbedonebefore,whilemachineisworking 0 44
14 155 0
15  External Canbebroughtalongwithothertools 0 10
16 5 0
17 216 0
18 5 0
19 36 0
20 104 0
21  External 0 8
22  External 0 55
23  External 0 30
24  External 0 5
25  External 0 10
26  External 0 70
27  External 0 10
28 10 0
29 110 0
30 251 0
31  External
Writedowntheparameterswhichareneededtobefed
inthem/csavingtimetosearchitoncontrolplans
0 15
32 25 0
33 337 0
34 5 0
35 0 1203
36  External Canbefilledaftersetupisdoneandmachineisrunning 0 216
37  External
Noneedtowaitforthereport,supervisorcancallthe
operatorandaskhimtostartthemachineassoonthe
partisinspected
600 900
38  External
Bringwhilemachineisrunningorwhilesetupisdone
(Parallelactivity)
0 300
39 12 0
Improvements
Timeafter
Improvemen
t
Time
Saved
(Sec)
Canbedonebyotheroperatoriedeploying1helper
(OperatorOperatingthatMachine)
Ste
p
No.
ECRS
Internal
to
External
Machine Name Operation
Time Before
SMED(min)
Time After
SMED(min)
Reduction in
Time (min)
% Reduction in
Setup Time
LS-150 Shaping 75 39 36 48%
SN4 Shaping 112 53 59 53%
MHI 1 Hobbing 76 29 47 62%
MHI 2 Hobbing 76 28 48 63%
LS-153 Hobbing 99 40 59 60%
PHA-250 Hobbing 100 41 59 59%
Hurth 1 Shaving 103 51 52 50%
Hurth 2 Shaving 101 53 48 48%
Hurth 3 Shaving 92 54 38 41%
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2045
6. CONCLUSION
By using the above mentioned tools the output capacity
was increased. The changeover time and manpower was
reduced. Thus helping the organization to make a sells of
extra 1528985.7 INR. per month.
REFERENCES
[1] Mr. Satish Keru Raut, Prof. Kedar M. Relekar, Mr.
Vikas Sarjerao Dhane "A Case Study of Productivity
Improvement by using IE Tools," International
Journal of Innovations in Engineering Research and
Technology [IJIERT], vol. 1, no. 1, pp. 1-13, 2014.
[2] Shantideo Gujar, Dr. Achal S. Shahare, "Increasing in
Productivity by Using Work Study in a
Manufacturing Industry," International Research
Journal of Engineering and Technology (IRJET), vol.
5, no. 5, pp. 1982-1991, 2018.
[3] Md. Abdul Moktadir, Sobur Ahmed, Fatema-Tuj-
Zohra1 and Razia Sultana, "Productivity
Improvement by Work Study Technique: A Case on
Leather Products Industry of Bangladesh,"
Industrial Engineering & Management, vol. 6, no. 1,
pp. 1-11, 2017.
[4] J. M. Wilson, "Gantt charts: A centenary
appreciation," European Journal of Operational
Research, p. 430–437, 2003.
[5] Rakesh Kumar, Dr. Vikas Kumar, "Literature Review
and Implications of Standard Work Implementation
in Indian Industry- A Case Study," International
Journal of Latest Trends in Engineering and
Technology (IJLTET), vol. 4, no. 3, pp. 50-63, 2014.
[6] Nurul Hayati Abdul Halim, Ahmed Jaffar, Noriah
Yusof, Roseelena Jaafar, Ahmad Naufal Adnan, Noor
Azlina Mohd Salleh, Nur Nida Azira, "Standardized
work in TPS production line," Jurnal Teknologi
(Sciences & Engineering), pp. 73-78, 2015.
[7] Nagaraj A Raikar, Prasanna Kattimani, Gaurish
Walke, "Use of Spaghetti Diagram for Identification
and Elimination of Waste Movements in Shop Floor
for OEE Improvement: A Case Study," International
Journal of Engineering Research & Technology
(IJERT), vol. 4, no. 5, pp. 1145-1149, May-2015.
[8] Katarína Senderska, Albert Mares, Stefan Vaclav,
"Spaghetti diagram application for workers’
movement analysis," U.P.B. Sci. Bull, vol. 79, no. 1,
pp. 139-150, 2017.
[9] K. Hys, A. Domagała, "Application of spaghetti chart
for production process streamlining. Case study,"
International Scientific Journal, vol. 89, no. 2, pp. 64-
71, 2018.
[10] Ana Sofia Alves, Alexandra Tenera, "Improving
SMED in the Automotive Industry: A case study," in
POMS 20th Annual conference Orlando , Florida
U.S.A, 2009.
[11] Yashwant R.Mali, Dr. K.H. Inamdar "Changeover
Time Reduction Using SMED Technique of Lean
Manufacturing," International Journal of
Engineering Research and Applications, vol. 2, no. 3,
pp. 2441-2445, 2012.
[12] Gaurav Saini, Er. Harvinder Lal, "Application of
SMED Programme of Lean Manufacturing for
Improving overall Equipment Efficiency -A Case
Study," International Journal on Emerging
Technologies, vol. 7, no. 2, pp. 33-35, 2016.
[13] Shashikant Mendhe, Prof. M.G. Rathi,
"Implementation of SMED Technique to Reduce
Setup Time of Bandsaw Cutting Machine,"
International Journal of Engineering Research &
Technology (IJERT), vol. 6, no. 1, pp. 270-273, 2017.
[14] Ashish Dhankhar, Sanjeev Kumar, "Improving Line
Efficiency & SMED Study," International Journal of
Engineering Research & Technology (IJERT), vol. 5,
no. 5, pp. 134-138, 2016.
[15] Mr. Sanket P. Gaikwad, Mr. Shivprasad S. Avhad, Mr.
Swapnil S. Pawar, Prof. Pradnya R. Thorat
"Reduction in Setup time on Rubber Moulding
Machine using SMED Technique," International
Journal of Engineering Research & Technology
(IJERT), vol. 4, no. 4, pp. 169-173, 2015.

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IRJET- Production Line Optimization using Lean Tools: A Case Study of Automotive Part Manufacturing Company

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2038 Production Line Optimization using Lean Tools: A case study of Automotive Part Manufacturing Company Akarsh Rahangdale1, Ramkrishna Bharsakade2, Sunil Kuber3 1Akarsh Rahangdale Industrial Engineering Dept. Vishwakarma Institute of Technology Pune, India 2Professor Ramkrishna Bharsakade Industrial Engineering Dept. Vishwakarma Institute of Technology Pune, India 3Professor Sunil Kuber Industrial Engineering Dept. Vishwakarma Institute of Technology Pune, India -------------------------------------------------------------------------***------------------------------------------------------------------------ Abstract - Lean Manufacturing is the management philosophy which is derived from the Toyota Production System (TPS). The main aim of lean manufacturing is to eliminate the waste and increase the productivity of any organization. In any organization improving the productivity is important. The study was conducted in an automobile part manufacturing company situated in Pune, India. The objective of the paper is to help the organization improve the output productivity so as to meet the customer demand. This research paper includes the production line optimization by making use of various Lean Tools like Spaghetti diagram, Single Minute Exchange of Die (SMED), Production Planning, Manpower optimization by Toyota Production Way (TPS), Standard Work Combination Table (SWCT). By using this tools, the output productivity of the production line was increased by 32%, Back tracking of the material is eliminated, Manpower is reduced by 22% and the Setup time is reduced by 41-60%. Key Words: Productivity Improvement, Production planning, Spaghetti Diagram, SWCT, TPS way, Manpower optimization, SMED. 1. INTRODUCTION This research paper includes the study conducted in an automobile part manufacturing company, at a production line having two cells soft cell and hard cell. Soft cell is machining of parts before heat treatment and Hard cell is machining of parts after heat treatment. Meeting with the customer demand is one of the prime objective of any organization to grow and strive in a competitive market. The problem faced in the production was lack of planning so that the quantity of 1600 Nos. for 17- part variety was not able to meet. In order to meet customer demand improving the productivity was necessary. Productivity was improved by using lean tools like method and time study, production planning, spaghetti diagram, manpower optimization by TPS way, Standard Work Combination Table (SWCT), Single Minute Exchange of Die (SMED). Time study is conducted for both planning and control of operations. It’s essential to find out the time required for doing a particular work which includes repetitive and non-repetitive activities [1]. It provides the standard time to complete any task for either a worker or for the machine. Standard time is required for estimating the time required to meet the demand [2]. It also helps us to calculate the capacity, hourly output and helps in production planning. Use of Gantt charts helps to plan the schedule ahead. Spaghetti diagram is visual representation of the flow of either material or work flow. It helps us track the movement and eliminate excess movement or back tracking of the material [7]. Unnecessary movement leads to loss in production time leading to waste [8]. Toyota production system helps an organization to optimize as per the requirement of the customer [6]. Takt time is amount of time required to produce the product to meet customer demand. Toyota production system helps to optimize manpower keeping the work content and that Takt time in consideration. To optimize manpower one man multi machine can be implemented. Standard Work Combination Table (SWCT) helps to identify the idleness of the operator or the machine and help to find out if 1 man multi machine is possible or not. Whenever there is pattern production frequent setup changes are required. Setups are done so as to prepare the machine for production of other part [12]. Setup time or change over time is the time period from last good piece of last batch to first good piece of new batch [10]. Setup time need to be less so the down time is less and lowers the manufacturing cost. It improves machine utilizations. Thus helping in increasing the productivity. 2. LITERATURE REVIEW A Case Study of Productivity Improvement by using IE Tools. Authors - Satish Keru Raut, Kedar M. Relekar. This research paper includes the application of time study in an engine block manufacturing company. Productivity problem between the shift and the management lead to need of time study. It helped them set standard for a production line. Increasing in Productivity by Using Work Study in a Manufacturing Industry. Authors - Shantideo Gujar, Dr. Achal S. Shahare. In this research paper work study tools were used to increase the efficiency and productivity of the plant. It helped to improve the practices and increase in the production rate by 11%.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2039 Productivity Improvement by Work Study Technique: A Case on Leather Products Industry of Bangladesh. Authors - Md. Abdul Moktadir, Sobur Ahmed, Fatema- Tuj-Zohra and Razia Sultana. In this research paper using work study as a tool to identify the bottleneck, then taking time study to find out standard time productivity increased by 12.71%. Gantt charts: A centenary appreciation. Author - James M. Wilson. In this research paper its shown how man and machine planning is done by using gantt chart. Use of Spaghetti Diagram for Identification and Elimination of Waste Movements in Shop Floor for OEE Improvement: A Case Study. Authors - Nagaraj A Raikar, Prasanna Kattimani, Gaurish Walke. In this research paper how to increase in the productivity of a line so as to meet customer demand is given by reducing frequent breakdown and long change over time. Unnecessary movement was reduced by 70%. Spaghetti diagram application for workers’ movement analysis. Authors - Katarína Senderská, Albert Mareš, Štefan Václav. In this research paper with the help of spaghetti diagram time, distance travelled is identified, evaluated and focus on reducing it. Application of spaghetti chart for production process streamlining. Case study. Author - K. Hys, A. Domagała. In this research paper how to improve the process conducted for an operation is given with the help of spaghetti diagram. Eliminating the unnecessary process with the help of spaghetti diagram 26.6% of movement in steps have been eliminated. Standardized work in TPS production line. Author - Nurul Hayati Abdul Halim, Ahmed Jaffar, Noriah Yusoff, Ahmad Adnan Naufal. In this research paper how to use SWCT chart in Toyota production system is shown, with the use of data like manual time, walking time, auto cycle time of a machine so as to see if 1 man multi machine is possible or not. Showing the idleness of either the operator or the machine. Literature Review and Implications of Standard Work Implementation in Indian Industry- A Case Study. Authors - Rakesh Kumar, Dr. Vikas Kumar. This paper presents implementation of Standard work enabler of Lean Manufacturing in a manufacturing system. Standard work combination tables specify exactly how all work is performed. Thus finding the idle time of the operator and improvement of the labor efficiency by providing work to eliminate idleness. Improving SMED in the Automotive Industry: A case study. Authors - Ana Sofia Alves, Alexandra Tenera. In this research paper various steps of SMED is given so as to reduce the change over time of the machine. By following the steps of identifying the internal and external activity, then converting internal to external, then streamlining all aspects the setup time was reduced by 45%. Changeover time reduction using SMED technique of lean manufacturing. Authors -Yashwant R. Mali, Dr. K.H. Inamdar. In this research paper we come to know how low setup time is required where there is low volume and high variety of products. Here by identifying the internal and external activity, separating them, the converting internal activity to external activity. Making use of SMED trolley, setup time is reduced by 50%. Application of SMED Programme of Lean Manufacturing for Improving Overall Equipment Efficiency -A Case Study. Authors - Gaurav Saini and Er. Harvinder Lal. In this research paper in forging shop and forging press was selected for reduction in setup time by using of single minute exchange to die tool. By converting internal to external activity, making use of pneumatic spanner, making use of SMED trolley maintaining 5S, setup time was reduced from 209.36 min to 167.09 min. Implementation of SMED Technique to Reduce Setup Time of Band saw Cutting Machine. Authors - Shashikant Mendhe, Prof. M.G. Rathi. In this research paper a band saw machine has been selected for reducing the setup time. Analyzing the setup procedure by taking video. Then identifying internal and external activity, converting internal to external, validation of the improvement such as 5S, parallel activity was implemented. The setup time was reduced by 75%. Improving Line Efficiency & SMED Study. Author - Ashish Dhankhar, Sanjeev Kumar. In this research paper the case study is conducted in an assembly plant, where factors affecting line efficiency and SMED are identified and dealt with. Factors like non-availability of material, non-availability of operator, machine break down etc. were identified. Video of Setup was taken then by separating internal and external activity and converting internal to external activity there by reducing the setup time. The line efficiency was increased from 69.63% to 71.27%. Reduction in Setup time on Rubber Moulding Machine using SMED Technique. Authors - Mr. Sanket P. Gaikwad, Mr. Shivprasad S. Avhad, Mr. Swapnil S. Pawar, Prof. Pradnya R. Thorat. This paper includes the implementation of SMED technique for moulding of rubber to metal phosphate components for production of anti-vibratory mountings which requires frequent changeover. Implementation of new scissor type stackers (two numbers), New standardized T-bolts, heat resistant roller bearing with spring cushioning, mould heating platen, shadow board, mould storage rack with
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2040 rollers helped reduce the setup time from 2 hours to 8 minutes. 3. PROBLEM STATEMENT Meeting customer demand is one of the major factor which any organization has to fulfill. The production line where the study is done contains 17-part variety. As the customer demand increased from 1100 to 1600 for 1st month plant was not able to meet customer demand. Further there was back tracking of material and material flow was not properly streamlined (flow was crisscross), Excess manpower and more change over time. Further in steps followed to solve the problem are mentioned in methodology. 4. METHODOLOGY 4.1 Data collection For optimization of the production line the following date is to be collected - Identify the part family produced on the production line. There are 3 main Types of parts namely Shafts, Gears & Clutch body they are further divided in to various parts, the classification of these parts are shown in the below Fig. 1. Fig- 1: Part Family After Identifying the parts collect the data of the Processes through which they pass with the help of the Process flow diagram and for better understanding making Product-Process matrix for soft cell as well as Hard cell. The Product-Process matrix is shown in the below Fig. 2. & Fig. 3 Fig- 2: Soft Cell Product Process Matrix Fig- 3: Hard Cell Product Process Matrix Now getting the information and Listing down the types of machines are there in the production line. Discussing with the line supervisor constrains of machine is duly noted, as to which part has specific machine for the operation and which parts can be machined on any machine. Conduction Time & Motion Study in order to determine the time required for the part to be machined. The data collected with the help of Time Study includes the Cycle time, Loading-Unloading Time, In-process Inspection Time. In time study the following allowances were given as shown in the Fig. 4. Fig- 4: Allowance Table
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2041 Stop watch time study was taken and standard time for each and every part was found out. In the below Table 1. find the Time Study Sheet of a machine in which standard time is calculated for a part to be machined. Table- 1: Standard Time calculation sheet As there are various parts and they share common machine which is pattern production there are setups so initially collecting the data of current setup times. 4.2 Production Planning for1600 quantities As we knew the cycle time and time required for each parts number of days required for 1600 quantity was calculated. Planning was done with the help of gantt chart so as to achieve a quantity of 400 per week to get 1600 at the end of the month. A week planning was made and given to the production and the same planning was to be followed for the next 3 weeks. The gantt chart of the planning is given is the Fig. 5. Below Fig- 5: Gantt Chart of production Planning for 1 Week 4.3 Material Movement Tracking While conducting the study it was observed that there are mix up of the part parts and back tracking of the material. In order to prevent the mixing of the material and the back tracking spaghetti diagram was drawn. In the Fig.6. Material movement of all the parts in soft cell is plotted. Fig- 6: Material movement before Layout change After plotting the material movement diagram it was observed that there is back tracking of the material and crisscross flow. So layout changes were made accordingly and as per the layout changes the material flow is given in the Fig. 7. Below. Machine Part : 1st Gear on Main Shaft 1st Shift Sr.No. Element Desc. A Recurring element : 1 Pick up the part 2 2 Load the Part to the machine 8 3 Start Auto Cycle 240 4 Clean using Pnuematic air gun 2 5 Unload the job 9 Sub total 261.00 B Non recurring element : 1 Setup Time (Batch Size 400) 9.0 Normal Time 270.0 Manual time 21.0 Machine time 240 Relaxation Allownace ( 11 % ) 4.0 Standard Time in sec 274.0 C Autocyle elements ( parallel to element 3) 1 Inspect the Job 15 2 Keep Bins from Input to Output Sliders 10 Sub total 25.0 Quantity/Hour 1st shift Output 83 11.4 2nd shift Output 83 11.0 3rd shift Output 83 11.0 Per Day output 249 Time Study Sheet Shaping SN4 Machine ShapingLS 400 ShapingLS 150 Shaping SN4 Hobbing Cooper Hobbing MHI1 Hobbing MHI2 Hobbing LS153 Hobbing PHA250 Deburring Shaving Hurth1 Shaving Hurth2 Shaving Hurth3 Tooth Roofing DAYS(6DaysaWeek&22.25HrsAvailablePerDay) MONDAY TUESDAY WEDNESDAY FRIDAY SATURDAY SUNDAY LayShaft12T(RevG)Qty-200 LayShaft12T(1stG)Qty-200 LayShaft12T(1stG)Qty-200 LayShaft12T(RevG)Qty-200 MainShaft18TQty-200 MainShaft18TQty-200 MainShaft35TQty-200 MainShaft18TQty-200MainShaft18TQty-200 LayShaft27TQty-200 LayShaft21TQty- 200 LayShaft27TQty-200 LayShaft21TQty-200 MainShaft27TQty-400 MainShaft27TQty-400 LayShaft12T(1stG) LayShaft12T(RevG) Qty- 200 LayShaft21TQty-200 LayShaft12T(1stG) Qty-200 LayShaft12T(RevG) Qty- 200 LayShaft21TQty- 200 1stGearonMS28TQty- 400 1stGearonMS38TQty- 400 1stGearonMS38TQty- 400 2ndGearonMS28TQty- 400 2ndGearonMS34TQty- 400 2ndGearonMS34TQty- 400 3rdGearonMS24TQty- 400 5thGearonMS24TQty-400 3rdGearonMS31TQty- 400 3rdGearonMS31TQty- 400 RevGearonMS33TQty-400 RevGearonMS33TQty-400 3rdGearonLS32TQty-400 3rdGearonLS32TQty-400 5thGearonLS46TQty-400 5thGearonLS46TQty-400 CMG 43T Qty-400 CMG 43T Qty-400 RIG19TQty-400 RIG19TQty-400 CB 3rdGear30TQty-400 CB 3rdGear30TQty-400 CB 4thGear30TQty-400 CB 4thGear30TQty-400 CB 5thGear30TQty-400 CB 5thGear30TQty-400 CB RevGear30TQty-400 CB 5thGear30TQty-400 DriveShaft18TQty-400 DriveShaft10TQty-400 Drive Shaft29TQty-400 DriveShaft29TQty-400 MainShaft35TQty-200 5thGearonMS25TQty-400 5thGearonMS25TQty-200 5thGearonMS25TQty-200 E B A B A B A D C B C B C B C B D C B A A B A B A B A B A C C C C C C D D D C C C C B A C B A A FML SOFT CELL MATERIAL MOVEMENT ON MACHINE Drilling Machine A A A Marking D Shaping LS 400Jyoti VMC Shaving Hurth 2 Hobbing MHI 2 Shaping SN 4GrindMaster Hobbing LS 153 ZK- 10 Shaving Hurth 3 Shaving Hurth 1 GrindMaster Hobbing PHA 250 ZK- 10 Hobbing MHI 1 Shaping LS 150 Hobbing Cooper B B A
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2042 Fig- 7: Material movement after Layout change After layout changes were made there is a stream line flow and the back tracking of material is eliminated. 4.4 Manpower optimization by Toyota Production (TPS) Way The following steps are used to calculate the optimized manpower. Soft Cell → Step 1 - Takt Time (TT) Calculation Takt time is the rate at which the part is to manufacture in order to meet the customer demand. It is calculated by Takt Time = Available Time/Demand Now the Total Time Available in a month is 25 days & Demand is 25600 Quantity (1600 parts each) Takt Time = 79 Sec Step 2 - Actual Takt Time (ATT) Calculation Actual Takt Time (ATT) = TT X 0.85 Actual Takt Time = 67.15 Sec Step 3 - Manpower Calculation & Allocation Manpower = ΣCT/ATT ΣCT is the Manual work content, Calculating the Manual work content for Soft Cell. Soft Cell ΣCT = 513 Sec Manpower (Soft Cell) = 8 Manpower Hard Cell → Step 1 - Takt Time (TT) Calculation Takt time is the rate at which the part is to manufacture in order to meet the customer demand. It is calculated by Takt Time = Available Time/Demand Now the Total Time Available in a month is 25 days & Demand is 20800 Quantity (1600 parts each) Takt Time = 96.27 Sec Step 2 - Actual Takt Time (ATT) Calculation Actual Takt Time (ATT) = TT X 0.85 Actual Takt Time = 81.82 Sec Step 3 - Manpower Calculation & Allocation Manpower = ΣCT/ATT ΣCT is the Manual work content, Calculating the Manual work content for Hard Cell. Hard Cell ΣCT = 289 Sec Manpower (Hard Cell) = 6 Manpower After calculation of the manpower, allocation manpower was done Fig. 8. and Fig. 9 will show the manpower allocation below Fig- 8: Manpower allocation in Soft Cell Fig- 9: Manpower allocation in Hard Cell D D D D E E E A C C C C E F Legend → C AB A A A A B B B ABC A C B B ABC ABC D C AB ABD C A C A Hobbing PHA 250 AC B BC Hobbing MHI 1 Shaping LS 150 Hobbing Cooper Rev GearOn MS Clutch body Rev Gear C 3rd GearOn MS Clutch body 4th Gear 5th GearOn MS Clutch body 5th Gear 1st GearOn MS Reverse IdlerGear 2nd GearOn MS Clutch body 3rd Gear Lay Shaft 5th GearOn LS ZK- 10 Drive Shaft Constant Mesh Gear Part Name Colour Part Name Colour Main Shaft 3rd GearOn LS D D E FML SOFT CELL MATERIAL MOVEMENT ON MACHINE Drilling Machine D D C B Marking Shaping LS 400Shaving Hurth 3 Shaving Hurth 1 Hobbing MHI 2 Shaping SN 4GrindMaster Hobbing LS 153 B B A ZK- 10 Jyoti VMC Shaving Hurth 2 GrindMaster Jyoti HURTH2 LS153 ZK10 MHI1 SN4 LS400 HURTH3 HURTH1 GM PHA250 ZK10 MHI2 LS150 COOPER FMLSoftCell SoftCell Marking FMLHardCell SH40 IG 150 EG200 IG50 Caulking HardCell Washing Jyoti Hard Turning Hi-Life Bemko Softning
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2043 Step 4 - Preparing Standard Work Content Table (SWCT) where 1 man 2 machine is implemented for both Soft & Hard cell. The Standard Work Combination Table is shown in the Fig.10. below. After drawing the SWCT chart wherever there was possibility of 1 man 2 machine it was implemented. Fig- 10: SWCT Chart for 1 Man 2 Machine With the help of this the manpower was optimized (reduced). 4.5 Setup time reduction with SMED Technique The following steps were used in the SMED technique. Step 1. Do the video recording of the whole setup process from last good piece of the last batch to the first good piece of the next batch. Step 2. Do video analysis and list down all the activities Step 3. Identify the Internal and External Activities Step 4. Convert Internal activity to external activity where ever possible. If parallel activity can be done implement it. Step 5. Design the proposal including the improvements, which activity to be performed by whom Step 6. Implement the improvements suggested and release a standard procedure to perform the setup. Step 7. After the suggestions have been implemented validate the whole process. Table- 2: Activity Recorded & Identified as Int. or Ext. Man Auto Walk 2 56.8 291 6 Wait 70.7 Returntothe 1stMachine Total ƩCT 62.8 Unload, Loadpart&StartAutocycle (MHI 2) 10.4 176 − 3 Inspectthe job(MHI 2) 14.4 2 4 Inspectthe job(MHI 1) 13.5 1 Unload, Loadpart&StartAutocycle (MHI 1) 18.5 115 2 2 110 115 120 125 130 135 105 50 55 60 65 70 75 140 Sr. No. Operation/Activity Time 5 10 15 80 85 90 (MainShaft) &(MainShaft) ∑C.T 62.8 Auto 20 25 30 35 40 45 95 100 Walk Process Hobbing T.T. Idle Project FML Standardized Work Combination table Date 10.03.2018 ProductionSchedule Machine (MHI 1) &(MHI 2) A.T.T. Phase Man Parts Step No. Process(Operation) Time (sec) Activity Type 1 BringHobforthenextsetup(5thGearonLayShaft) 110 I 2 BringSpanner,Hammer,AllenKey,Pipe 681 I 3 Cleanthefixtureandthehobusedfor2ndgearMS 10 I 4 Rotatethefixturebypressingthebuttononthecontrolpannelandcleanthe fixture 20 I 5 Shiftthelocationofhobawayfromthefixture 30 I 6 ByUsingtheAllenKeytoremovethescrewtoremovethe fixture(2screws) 65 I 7 Rotatethefixturebypressingthebuttononthecontrolpanelandremovethe restofthe2screws 35 I 8 Holdthetopofthefixturebylefthand&Rotatethefixturetoloosenitandthen removeit 25 I 9 KeeptheFixtureonthetableandcleanitwiththecloth 5 I 10 Removethebaseofthefixturebyholdingitandrotatingthefixtureholderand keepitonthetable 92 I 11 Takethebaseofthefixturefor5thGearLSandcleanit 12 I 12 Fixthebaseofthefixturefor5thGearLS 109 I 13 Cleanthefixture&fixitbytightningit 44 I 14 PutScrewsonthefixtureandtightenit withthehelpofAllenkey 155 I 15 GoandBringDialGuage 10 I 16 AttachthedialguagetotheHobsidetosettherotationofthefixture 5 I 17 Rotatethefixturetocheckthedeviationandadjustitbyhammeringitwiththe hammer 216 I 18 RemovetheDialguageandkeepitonthetable 5 I 19 RotatetheHobholderandbringitinthepositiontoremoveit 36 I 20 UseSpanner&Hammertolooseitonboththeendsandremovethehob 104 I 21 TakethehobHoldertothehobclamptoremovethehob 8 I 22 ClamptheHolderandloosethehobfor2ndGearMS 55 I 23 Cleanthehobholder 30 I 24 ClamptheHolderforputtingthehobfor5thgearLS 5 I 25 Bringthe5thgearlsHobtotheclamp 10 I 26 PuttheHobfor5thgearLSintheholderandtightenit 70 I 27 Takethehobbacktothemachine 10 I 28 Cleantheinsideofthemachinewherehobistobeclamped 10 I 29 FixtheHobinthemachinebyclampingitandtightningitwiththehelpofthe spanner 110 I 30 Takethedialguagetosetnegligibledeviationwhilerotationofthehob,attach thedialguagetotheoppositesideoftheHobholderandrotatetheHobtocheck thedeviation 251 I 31 Takethe5thGearLSjobandcleanit 15 I 32 LoadtheJob 25 I 33 AdjusttheParametersonthemachine 337 I 34 ClosetheDoor&Startthemachine 5 I 35 AdjusttheHobandthe jobdistancebysizeadjustment 1203 I 36 Fillthesetupcontrolsheet 216 I 37 TakethejobtoCMMforinspection 1500 I 38 BringtheBinwhichcontaintheinputforthemachine 300 I 39 Loadandstartthemachine 12 I
  • 7. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2044 Table- 3: Internal Converted to External Activities Some of the improvement suggestions includes 1. Maintaining 5S so the time in searching for the tool is saved. For maintaining 5S tool trolley was made. Fig. 11. shows the tool trolley. Fig- 11: Tool Trolley 2. Parallel activities performed by the operator while the supervisor is doing the setup. 3. Rearranging the activities after setup which are not required during the setup like cleaning of the last setup tool, filling the setup sheet, filling the tool life monitoring sheet. 4. Further the time required to search the data on control sheet is eliminated by having a document that only includes the parameters which needs to be feed to the machine. Similarly, by using the above steps and improvement ideas setup time can be reduced for 8 other machines. The following table shows the time reduced for the other 8 machines. Table- 4: Reduction in Setup time machine wise 5. RESULT By implementing the above techniques, the total output capacity of the production line was increased from 1100 quantity per part to 1600. The back tracking and mixing of the material was eliminated. Manpower was reduced from 10 to 8 in Soft cell and 8 to 6 in Hard cell. Setup time was reduced by 41 to 63%. E C R S 1  External Canbebroughtwhilethemachineisrunning 110 0 2  External Maintain5sandmakeseparatetrollyforonlykeeping toolswhichcanbeboughtwhilemachineisrunning 60 621 3  Cleaningcanbedoneafterwards 0 10 4 20 0 5 30 0 6 65 0 7 35 0 8 0 25 9 5 0 10 92 0 11 12 0 12 109 0 13  External Cleaningcanbedonebefore,whilemachineisworking 0 44 14 155 0 15  External Canbebroughtalongwithothertools 0 10 16 5 0 17 216 0 18 5 0 19 36 0 20 104 0 21  External 0 8 22  External 0 55 23  External 0 30 24  External 0 5 25  External 0 10 26  External 0 70 27  External 0 10 28 10 0 29 110 0 30 251 0 31  External Writedowntheparameterswhichareneededtobefed inthem/csavingtimetosearchitoncontrolplans 0 15 32 25 0 33 337 0 34 5 0 35 0 1203 36  External Canbefilledaftersetupisdoneandmachineisrunning 0 216 37  External Noneedtowaitforthereport,supervisorcancallthe operatorandaskhimtostartthemachineassoonthe partisinspected 600 900 38  External Bringwhilemachineisrunningorwhilesetupisdone (Parallelactivity) 0 300 39 12 0 Improvements Timeafter Improvemen t Time Saved (Sec) Canbedonebyotheroperatoriedeploying1helper (OperatorOperatingthatMachine) Ste p No. ECRS Internal to External Machine Name Operation Time Before SMED(min) Time After SMED(min) Reduction in Time (min) % Reduction in Setup Time LS-150 Shaping 75 39 36 48% SN4 Shaping 112 53 59 53% MHI 1 Hobbing 76 29 47 62% MHI 2 Hobbing 76 28 48 63% LS-153 Hobbing 99 40 59 60% PHA-250 Hobbing 100 41 59 59% Hurth 1 Shaving 103 51 52 50% Hurth 2 Shaving 101 53 48 48% Hurth 3 Shaving 92 54 38 41%
  • 8. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2045 6. CONCLUSION By using the above mentioned tools the output capacity was increased. The changeover time and manpower was reduced. Thus helping the organization to make a sells of extra 1528985.7 INR. per month. REFERENCES [1] Mr. Satish Keru Raut, Prof. Kedar M. Relekar, Mr. Vikas Sarjerao Dhane "A Case Study of Productivity Improvement by using IE Tools," International Journal of Innovations in Engineering Research and Technology [IJIERT], vol. 1, no. 1, pp. 1-13, 2014. [2] Shantideo Gujar, Dr. Achal S. Shahare, "Increasing in Productivity by Using Work Study in a Manufacturing Industry," International Research Journal of Engineering and Technology (IRJET), vol. 5, no. 5, pp. 1982-1991, 2018. [3] Md. Abdul Moktadir, Sobur Ahmed, Fatema-Tuj- Zohra1 and Razia Sultana, "Productivity Improvement by Work Study Technique: A Case on Leather Products Industry of Bangladesh," Industrial Engineering & Management, vol. 6, no. 1, pp. 1-11, 2017. [4] J. M. Wilson, "Gantt charts: A centenary appreciation," European Journal of Operational Research, p. 430–437, 2003. [5] Rakesh Kumar, Dr. Vikas Kumar, "Literature Review and Implications of Standard Work Implementation in Indian Industry- A Case Study," International Journal of Latest Trends in Engineering and Technology (IJLTET), vol. 4, no. 3, pp. 50-63, 2014. [6] Nurul Hayati Abdul Halim, Ahmed Jaffar, Noriah Yusof, Roseelena Jaafar, Ahmad Naufal Adnan, Noor Azlina Mohd Salleh, Nur Nida Azira, "Standardized work in TPS production line," Jurnal Teknologi (Sciences & Engineering), pp. 73-78, 2015. [7] Nagaraj A Raikar, Prasanna Kattimani, Gaurish Walke, "Use of Spaghetti Diagram for Identification and Elimination of Waste Movements in Shop Floor for OEE Improvement: A Case Study," International Journal of Engineering Research & Technology (IJERT), vol. 4, no. 5, pp. 1145-1149, May-2015. [8] Katarína Senderska, Albert Mares, Stefan Vaclav, "Spaghetti diagram application for workers’ movement analysis," U.P.B. Sci. Bull, vol. 79, no. 1, pp. 139-150, 2017. [9] K. Hys, A. Domagała, "Application of spaghetti chart for production process streamlining. Case study," International Scientific Journal, vol. 89, no. 2, pp. 64- 71, 2018. [10] Ana Sofia Alves, Alexandra Tenera, "Improving SMED in the Automotive Industry: A case study," in POMS 20th Annual conference Orlando , Florida U.S.A, 2009. [11] Yashwant R.Mali, Dr. K.H. Inamdar "Changeover Time Reduction Using SMED Technique of Lean Manufacturing," International Journal of Engineering Research and Applications, vol. 2, no. 3, pp. 2441-2445, 2012. [12] Gaurav Saini, Er. Harvinder Lal, "Application of SMED Programme of Lean Manufacturing for Improving overall Equipment Efficiency -A Case Study," International Journal on Emerging Technologies, vol. 7, no. 2, pp. 33-35, 2016. [13] Shashikant Mendhe, Prof. M.G. Rathi, "Implementation of SMED Technique to Reduce Setup Time of Bandsaw Cutting Machine," International Journal of Engineering Research & Technology (IJERT), vol. 6, no. 1, pp. 270-273, 2017. [14] Ashish Dhankhar, Sanjeev Kumar, "Improving Line Efficiency & SMED Study," International Journal of Engineering Research & Technology (IJERT), vol. 5, no. 5, pp. 134-138, 2016. [15] Mr. Sanket P. Gaikwad, Mr. Shivprasad S. Avhad, Mr. Swapnil S. Pawar, Prof. Pradnya R. Thorat "Reduction in Setup time on Rubber Moulding Machine using SMED Technique," International Journal of Engineering Research & Technology (IJERT), vol. 4, no. 4, pp. 169-173, 2015.