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International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 58 - 63
_______________________________________________________________________________________________
58
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
A Case Study on Productivity Improvement of Assembly line using VSM
Methodology
Dharit Pambhar1
, Shubham Awasthi2
1
PG student, Production Technology (Mechanical),Parul Institute of Technology
Parul University,p.dharit@gmail.com
2
Asst. Professor,Production Technology (Mechanical),Parul Institute of Technology
Parul University, shubham.awasthi@paruluniversity.ac.in
ABSTRACT: This Project seeks to analyze the internal product flow in an Assembly line of the MCCB manufacturing company, located in
Vadodara. An objective of the study is to carry out VSM for the product molded case circuit breaker which is manufactured in one of leading
companies in India, to identify the non-valued added activities and reduce the same and propose a future state map to reduce the production lead
time.
The main objective of this study is to increase the productivity against the demand. The Quality related issue regarding material&
material shortage online is not in the scope of this study. Taking a value stream perspective means working on the big picture, nota just
individual process; and not a just optimization but an actual improvement. It covers value adding as well as non-value-adding activities. This
study also includes layout improvement and time study report.
This research shows marking benefit associated with the implementation of lean program because this project shows an industrial case
study of MCCB manufacturing Assembly line.
Keywords: Value stream mapping; kaizen; Cycle time; Productivity
__________________________________________________*****_________________________________________________
1.INTRODUCTION
The research study was carried out in a unit based in
Vadodara, India which manufactures molded case circuit
breaker also known as MCCB. The objectives for the
implementation of the lean in the company are as follows:
 To study the Current State map by collecting the
data from the shop floor
 To identify the problems faced by the company in
terms of Non Value Added time and minimize the
waste.
 To propose Future State Value Map which can
reduce Production lead time, increase the Value
added time and reduce non value added time.
2. VSM METHODOLOGY
Value stream mapping can be a communication tool, a
business planning tool and a tool to manage change in
process. Value stream mapping initially follows the step
shown at below. Notice that future state drawing is
highlighted because our goal is to design and introduce a
lean value stream. The future state map is most important.
Material & information flow are two sides of coin, which
included in VSM methodology.
Fig-1: VSM flow
Fig-2: VSM Methodology
3. GENERAL OVERVIEW OF LITERATURE
REVIEW
Rahani et al AR [1] focus on a case study of batch
manufacturing product and to draw VSM. They suggest that
we should walk and interact with workflow rather than doing
office to collect data & to improve current stage. They make a
series of Que. During their walk prod. Area 1: What is the
International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 58 - 63
_______________________________________________________________________________________________
59
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
Takt time? 2: What are the bottleneck and constraints found?
3: Where can inventory can be reduced? 4: How can you
improve process? 5: Potential process improvement for future
state design? This basic ques. gives huge ideas for
improvement. They reduce Bottleneck, WIP & thus cycle
time.
In this paper Peter Hines [2] focuses on reduction of waste by
adopting lean tools, if we reduce lead time the saved time can
be used to improve quality & management issues. Thus this
paper more focuses more productivity improvement rather
than quality. He defines 7 stream mapping tools: (1) Process
activity mapping (2) Supply chain response (3) Production
variety (4) Quality mapping (5) Decision point analysis (6)
Demand amplification (7) Physical structure (volume & value)
.It helps the researcher to choose the most appropriate methods
for the particular industry, people and types of problem that
exist. The typology is based on the identification of wastes.
In this journal Colin Herrona [3] et al identified that if we
want to apply VSM the first step of implementation is to
implement 5-S.
Takt time = Available production time/ Total daily quantity
and
Uptime % = (Actual production time of a machine– Value
added time/Availability time) * 100 required. The aim of
paper to use the Value Stream Mapping tool is to identify,
quantify and minimize major wastes in a manufacturing set-
up. By this approach A Marecha [4] et al make matrices of
waste to mapping tool. And give ranking to waste as per their
complexity. They try to minimize their defects as per their
priority: like the implementation of First-In-First-Out (FIFO),
semi-automated process, development of an economic batch
quantity, etc. and improves throughput by 16%.
Here, R Domingo [5] et al gives an example of GM‟s VSM
documents the performance of the process with the metrics of
process time, wait time, and first time quality. Here researcher
introduces us to Value Stream Mapping. VSM has its roots in
the Toyota Production System (TPS) with a technique known
as “Material & Information Flow Mapping”.
Roberto Alvarez [6] et al has studied the real industrial case of
assembly line improvement through rude management.
Empirical results drawn from case studies show that an
operating decision has helped improve lean matrix, especially
reducing the the doc-to-dock time and increasing lean rate, and
a pre-line manufacturing The change of organization is a better
lean organization which has achieved the lowest cycle time.
The movement of milk is wasted in the context of unnecessary
inventions, excessive transportation and waste time, without
changing production philosophy or layout. Combining milk
and VSM combinations are an important tool for increasing
the flexibility and way of improving the process for any
industry.
Leonardo Rivera [7] et al briefly explained the procedure
followed for the construction of CTP, its uses and its
application. CTP & CTI both have been useful in the the
evaluation of a production process and its performances. The
evaluation of these improvements through the use of the CTP
and the CTI highlights the economic impact of time
improvements.
P. Kuhlang[8] et al carried out research on the MTM that is
also known as Hybrid Optimization of Added Value and
VSM(value stream mapping) how interconnected to each other
at different segments & different levels. If we consider the
mutual benefits of both Application then it should increase in
productivity, standardize the process and also reduce
inventory/lead time. They have also examined ergonomics &
some logistics aspects in their case study.
In this paper Sanjay Sharma [9] examined the relationship
between cycle time & cost in the manufacturing company.
Generally it is in reversely proportional to each other.
However, as the focus is presently on the cost of the supply
chain, a suitable framework is developed to analyze the overall
CT compression. The paper also approaches the DOF in the
present context. Through an example of ACB & MCCB
packaging he will try to explain the Make o order situation
with relative to the cycle time reduction in the case study.
Ravindrakumar [10] et al provide a case study of a hub
manufacturing process by applying VSM technique. By
application of VSM they succeeded to achieve 7 % cost saving
& also reduction in the cycle time. It can be concluded that
VSM is an effective tool for identifying the process.
Dushyanth Kumar KR[11] et al present a case study of a
pump Assembly of a manufacturing company of the the
pump.In this case study he findss out the waste by developing
CSM and try to eliminate them. He also developed FSM for
that. He succeeded to reduce process time from 240 hours to
150 hours. He just made a small change in the the shaft sleeve
manufacturing process by using fishbone diagram &
kaizen.He also used 5 S principle & some mechatronics
principle for Accurate process & also helped in lead time
reduction.
James T. Luxhoj [12] et al suggests that predetermined time
systems could be employed for the remaining operations in
the crop schedule for the single truss tomato production
system, as well as for other crops that involve highly
repetitive, short cycle work elements. With predetermined
time systems, the focus is on the operation or method, and not
on the operator. There is no need for a subjective
"performance rating" factor. Therefore, the very use of
predetermined time systems can potentially motivate
substantial method and ergonomic changes. In addition, a
macro predetermined time system, such as MOST, can
provide labor data for the design phase of new greenhouse
materials-handling systems.
International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 58 - 63
_______________________________________________________________________________________________
60
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
4. CASE STUDY
To start VSM by identifying different waste in the MCCB
assembly process and then removing it by applying suitable
lean toolsin the process, in our case study VSM (Value
Stream Mapping) is the better visualization tool to identify
NVA in the process, then the FSM can make through the
application of Lean principles for decreasing throughput
time.
4.1 CSM
From the below data collected, we have identified areas for
development to reduce the throughput time of Process. The
current state process and related value stream mapping ofas
shown in Table 1 and Figures 3 & 4.
Assembly Station Process Time(seconds)
AS-1 Release Assembly 150
AS-2 Mechanism Assembly 114
TS-1 OT/CP Testing 180
TS-2 Thermal/Magnetic Testing 200
FS-1 Cover joining 120
FS-2 Mid-cover joining 158
Packing Carton packing 96
Table-1: Process Activities with Time
Fig-3: Graphical Representation of Station Timing before VSM
Fig-4: Current State Map
Fig-5: Timeline Diagram of Current State Map
AS-1 AS-2 TS-1 TS-2 FS-1 FS-2 Packing
WC:150 sec WC:114 sec WC:180 sec WC:200 sec WC:120
sec
WC:158 sec WC:96 sec
0
CT: 150 sec
10
CT: 114 sec
45
CT: 180 sec
15
CT: 200 sec
5
CT: 120 sec
0
CT: 158 sec
0
CT: 96 sec
0
Effi:80% Effi:80% Effi:80% Effi:80% Effi:80% Effi:80% Effi:80%
Shift:2 Shift:2 Shift:2 Shift:2 Shift:2 Shift:2 Shift:2
Time:51000
sec
Time:51000
sec
Time:51000
sec
Time:51000
sec
Time:5100
0 sec
Time:5100
0 sec
Time:51000
sec
DailyPlanning
Monthly Planning
0.033333 0.15 0.05 0.0166667 0 0 0 0.25 NVA In Days
150 114 180 200 120 158 96 1018 VA In sec
0
50
100
150
200
250
AS-1 AS-2 TS-1 TS-2 FS-1 FS-2 Packing
TIME chart
International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 58 - 63
_______________________________________________________________________________________________
61
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
Calculations of CSM ratio:
Percentage of NVA Time=Total NVA time in seconds/Total
processing time in seconds × 100
=900/1918 × 100
=47%
Percentage of VA Time=Total VA time in seconds/Total
processing time in seconds × 100
=1018/1918 × 100
=53%
4.2 Takt time
After completing CSM we identified the Key characteristics
of the Future State and are reviewed with the Top
management to obtain input and gain mutual agreement on
the direction of the Future State. Looking at the current state
map for several things showed up. From the German word,
Takt is the word for the wand a conductor uses to control
hisOrchestra‟s speed, beat and timing. In manufacturing, it
refers to the frequency of a part or component must be
produced to meet customers‟ demand. [6]
Described mathematically, Takt time is:
Available time for production / required units of production
In our Case Demand is 250 units/day.
Available time for a shift is 25500 seconds.
So, Takt time = 25500/300
=85 Breaker/shift
5. Lean implementation through kaizen anddevelopment
of FSM
Kaizen shows a lead role inimproving the productivity and
quality of the products. Kaizen is a strategy to include
concepts, systems and tools within the bigger picture of
leadership involving people and their culture all driven by
the customer. The brain storming analysis of VSM revealed
the following major NVA identified as operator‟s movement
and their skill, poor process, delay in material transfer and
cooling time for which the proposed lean solutions are
suggested as follows. Table 2 and Figures 7 and 8.
Station Task Involved NVA Activities Proposed solution
AS-1 Release inserting in Housing Delay in material Pick up Rake provide near Station
AS-2 Trip plate Inserting Manually trip plate Cutting Mould modification
TS-1 Doing CP testing manually Take reading Manually & note
down in a register.
Automated set up for CP
testing
TS-2 Thermal /magnetic Testing Cooling time Increase Shift timing
FS-2 Cover Assembly on Breaker Waiting & transport Delay Re-lay outing
Table-2: Proposed Lean Solution
Fig-6:Graphical Representation of Station Timing after VSM
0
50
100
150
200
AS-1 AS-2 TS-1 TS-2 FS-1 FS-2 Packing
TIME chart
International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 58 - 63
_______________________________________________________________________________________________
62
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
Fig-7: Future State Map
Fig-8:Timeline Diagram of Future State Map
Calculations of FSM ratio:
Percentage of NVA Time=Total NVA time in seconds/Total
processing time in seconds × 100
=480/1406 × 100
=34%
Percentage of VA Time=Total VA time in seconds/Total
processing time in seconds × 100
=926/1406 × 100
=66%
6. CONCLUSION
In our case study, applying VSM tool for the MCCB
assembly, a current scenario isdeveloped as a part of CSM
to find the non-value added activities and an FSMis created
by eliminating non-value added activities of the process
VSM future state map shows significant improvement in the
MCCB assembly process and its throughput time is also
reduced to 1018 seconds to 926 seconds, Which demonstrate
that any delay can be analysed through value stream
mapping. The present study provides a case study of the
improvement of MCCB manufacturing industry by focusing
reducing NVA activities, cycle time and increasing
productivity through VSM and kaizen principles, it can be
concluded that VSM and kaizen are the effective toolsfor
identifying and reducing the process wastes respectively. By
performing the technical suitability, economical
justifications and feasibility analysis, we have suggested the
recommendations of these tools to induct for the medium
scale enterprises confidently.
APPENDIX
Available Production Time: Available time is the shift time
minus planned breaks and is measured in minutes.
Available Operating Time: Available production time minus
changeover time measured in minutes.
Kaizen: „Kai‟ meaning way, „Zen‟ means good. Which
together account for continuous improvement.
Lead Time: The amount of time that elapses between when
a process starts and when it is completed.
Takt time: Derived from the German word Taktzeit,
translated best as meter, is the average unit production time
needed to meet customer demand.
MCCB: Molded Case Circuit Breaker
VSM: Value Stream Mapping
CSM: Current State Map
FSM: Future State Map
REFERENCES
[1] “Production Flow Analysis through Value Stream
Mapping” Rahani AR, Muhammad al-Ashraf, Science
Direct Procedia Engineering 41 (2012) 1727 – 1734
[2] “The seven value stream mapping tools” Peter Hines, Nick
Rich, International Journal of Operations & Production
Management, 2000
[3] “Process Planning through Value Stream Mapping in
Foundry shop” Colin Herrona, Paul M. Braidenb, Journal
of Economics and Sustainable Development, Vol.3, 2012
[4] "Use of the Value Stream Mapping Tool for Waste
Reduction in Manufacturing. Case Study for Bread
Manufacturing in Zimbabwe” A Marecha, Mhlanga,
AS-1 AS-2 TS-1 TS-2 FS-1 FS-2 Packing
WC:130 sec WC:105 sec WC:150 sec WC:185 sec WC:120
sec
WC:140 sec WC:96 sec
0
CT: 130 sec
0
CT: 105 sec
30
CT: 150 sec
10
CT: 185 sec
0
CT: 120 sec
0
CT: 140 sec
0
CT: 96 sec
0
Effi:80% Effi:80% Effi:80% Effi:80% Effi:80% Effi:80% Effi:80%
Shift:2 Shift:2 Shift:2 Shift:2 Shift:2 Shift:2 Shift:2
Time:51000
sec
Time:51000
sec
Time:51000
sec
Time:51000
sec
Time:5100
0 sec
Time:5100
0 sec
Time:51000
sec
DailyPlanning
Monthly Planning
0 0.1 0.033333 0 0 0 0 0.133333 NVA In Days
130 105 150 185 120 140 96 926 VA In sec
International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 58 - 63
_______________________________________________________________________________________________
63
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
International Conference on Industrial Engineering and
Operations Management, 2011
[5] “Value Stream Mapping (The Complete Lean Enterprise,
Productivity Press, 2004)” I Karjalainen, R Domingo, R
Alvarez, International Journal of Development Research,
2004
[6] “Materials flow improvement in a lean assembly line: a
case study" Roberto Alvarez and Marta Melodıa Pena
Assembly Automation, Vol. 27 Iss 2 pp. 141 – 147, 2007
[7] “Measuring the impact of Lean tools on the cost–time
investment of a product using cost–time profiles “Leonardo
Rivera, F. Frank Chen, Robotics and Computer-Integrated
Manufacturing 23 (2007) 684–689,2007
[8] “Methodical approach to increase productivity and reduce
lead time in assembly and production-logistic processes”P.
Kuhlang, T. Edtmayr, W. Sihn, CIRP Journal of
Manufacturing Science and Technology, 2011
[9] “Cycle time reduction in context to the make to order
(MTO) environment” Sanjay Sharma, Journal of
Manufacturing Technology Vol. 24 No. 3, 2013
[10] “Improvement of Process Cycle Efficiency by
Implementing a Lean Practice: A Case
Study”Ravindrakumar S. Agrahari, Priyanka A. Dangle,
Prof. K.V. Chandratre,international journal of research in
aeronautical and mechanical engineering vol.3
Issue.3,2015
[11] “Application of value stream Mapping in pump assembly
process: A case study” Dushyanth Kumar KR,
Shivashankar GS and Rajeshwar SK, Journal of industrial
engineering & management Volume 4, Issue 3, 2015
[12] “Comparison of Labor Standards for a Greenhouse” James
T. Luxhoj, Gene A. Giacomelli, International Journal of
Operations & Production Management, 2000

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A Case Study on Productivity Improvement of Assembly line using VSM Methodology

  • 1. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 58 - 63 _______________________________________________________________________________________________ 58 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ A Case Study on Productivity Improvement of Assembly line using VSM Methodology Dharit Pambhar1 , Shubham Awasthi2 1 PG student, Production Technology (Mechanical),Parul Institute of Technology Parul University,p.dharit@gmail.com 2 Asst. Professor,Production Technology (Mechanical),Parul Institute of Technology Parul University, shubham.awasthi@paruluniversity.ac.in ABSTRACT: This Project seeks to analyze the internal product flow in an Assembly line of the MCCB manufacturing company, located in Vadodara. An objective of the study is to carry out VSM for the product molded case circuit breaker which is manufactured in one of leading companies in India, to identify the non-valued added activities and reduce the same and propose a future state map to reduce the production lead time. The main objective of this study is to increase the productivity against the demand. The Quality related issue regarding material& material shortage online is not in the scope of this study. Taking a value stream perspective means working on the big picture, nota just individual process; and not a just optimization but an actual improvement. It covers value adding as well as non-value-adding activities. This study also includes layout improvement and time study report. This research shows marking benefit associated with the implementation of lean program because this project shows an industrial case study of MCCB manufacturing Assembly line. Keywords: Value stream mapping; kaizen; Cycle time; Productivity __________________________________________________*****_________________________________________________ 1.INTRODUCTION The research study was carried out in a unit based in Vadodara, India which manufactures molded case circuit breaker also known as MCCB. The objectives for the implementation of the lean in the company are as follows:  To study the Current State map by collecting the data from the shop floor  To identify the problems faced by the company in terms of Non Value Added time and minimize the waste.  To propose Future State Value Map which can reduce Production lead time, increase the Value added time and reduce non value added time. 2. VSM METHODOLOGY Value stream mapping can be a communication tool, a business planning tool and a tool to manage change in process. Value stream mapping initially follows the step shown at below. Notice that future state drawing is highlighted because our goal is to design and introduce a lean value stream. The future state map is most important. Material & information flow are two sides of coin, which included in VSM methodology. Fig-1: VSM flow Fig-2: VSM Methodology 3. GENERAL OVERVIEW OF LITERATURE REVIEW Rahani et al AR [1] focus on a case study of batch manufacturing product and to draw VSM. They suggest that we should walk and interact with workflow rather than doing office to collect data & to improve current stage. They make a series of Que. During their walk prod. Area 1: What is the
  • 2. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 58 - 63 _______________________________________________________________________________________________ 59 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ Takt time? 2: What are the bottleneck and constraints found? 3: Where can inventory can be reduced? 4: How can you improve process? 5: Potential process improvement for future state design? This basic ques. gives huge ideas for improvement. They reduce Bottleneck, WIP & thus cycle time. In this paper Peter Hines [2] focuses on reduction of waste by adopting lean tools, if we reduce lead time the saved time can be used to improve quality & management issues. Thus this paper more focuses more productivity improvement rather than quality. He defines 7 stream mapping tools: (1) Process activity mapping (2) Supply chain response (3) Production variety (4) Quality mapping (5) Decision point analysis (6) Demand amplification (7) Physical structure (volume & value) .It helps the researcher to choose the most appropriate methods for the particular industry, people and types of problem that exist. The typology is based on the identification of wastes. In this journal Colin Herrona [3] et al identified that if we want to apply VSM the first step of implementation is to implement 5-S. Takt time = Available production time/ Total daily quantity and Uptime % = (Actual production time of a machine– Value added time/Availability time) * 100 required. The aim of paper to use the Value Stream Mapping tool is to identify, quantify and minimize major wastes in a manufacturing set- up. By this approach A Marecha [4] et al make matrices of waste to mapping tool. And give ranking to waste as per their complexity. They try to minimize their defects as per their priority: like the implementation of First-In-First-Out (FIFO), semi-automated process, development of an economic batch quantity, etc. and improves throughput by 16%. Here, R Domingo [5] et al gives an example of GM‟s VSM documents the performance of the process with the metrics of process time, wait time, and first time quality. Here researcher introduces us to Value Stream Mapping. VSM has its roots in the Toyota Production System (TPS) with a technique known as “Material & Information Flow Mapping”. Roberto Alvarez [6] et al has studied the real industrial case of assembly line improvement through rude management. Empirical results drawn from case studies show that an operating decision has helped improve lean matrix, especially reducing the the doc-to-dock time and increasing lean rate, and a pre-line manufacturing The change of organization is a better lean organization which has achieved the lowest cycle time. The movement of milk is wasted in the context of unnecessary inventions, excessive transportation and waste time, without changing production philosophy or layout. Combining milk and VSM combinations are an important tool for increasing the flexibility and way of improving the process for any industry. Leonardo Rivera [7] et al briefly explained the procedure followed for the construction of CTP, its uses and its application. CTP & CTI both have been useful in the the evaluation of a production process and its performances. The evaluation of these improvements through the use of the CTP and the CTI highlights the economic impact of time improvements. P. Kuhlang[8] et al carried out research on the MTM that is also known as Hybrid Optimization of Added Value and VSM(value stream mapping) how interconnected to each other at different segments & different levels. If we consider the mutual benefits of both Application then it should increase in productivity, standardize the process and also reduce inventory/lead time. They have also examined ergonomics & some logistics aspects in their case study. In this paper Sanjay Sharma [9] examined the relationship between cycle time & cost in the manufacturing company. Generally it is in reversely proportional to each other. However, as the focus is presently on the cost of the supply chain, a suitable framework is developed to analyze the overall CT compression. The paper also approaches the DOF in the present context. Through an example of ACB & MCCB packaging he will try to explain the Make o order situation with relative to the cycle time reduction in the case study. Ravindrakumar [10] et al provide a case study of a hub manufacturing process by applying VSM technique. By application of VSM they succeeded to achieve 7 % cost saving & also reduction in the cycle time. It can be concluded that VSM is an effective tool for identifying the process. Dushyanth Kumar KR[11] et al present a case study of a pump Assembly of a manufacturing company of the the pump.In this case study he findss out the waste by developing CSM and try to eliminate them. He also developed FSM for that. He succeeded to reduce process time from 240 hours to 150 hours. He just made a small change in the the shaft sleeve manufacturing process by using fishbone diagram & kaizen.He also used 5 S principle & some mechatronics principle for Accurate process & also helped in lead time reduction. James T. Luxhoj [12] et al suggests that predetermined time systems could be employed for the remaining operations in the crop schedule for the single truss tomato production system, as well as for other crops that involve highly repetitive, short cycle work elements. With predetermined time systems, the focus is on the operation or method, and not on the operator. There is no need for a subjective "performance rating" factor. Therefore, the very use of predetermined time systems can potentially motivate substantial method and ergonomic changes. In addition, a macro predetermined time system, such as MOST, can provide labor data for the design phase of new greenhouse materials-handling systems.
  • 3. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 58 - 63 _______________________________________________________________________________________________ 60 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ 4. CASE STUDY To start VSM by identifying different waste in the MCCB assembly process and then removing it by applying suitable lean toolsin the process, in our case study VSM (Value Stream Mapping) is the better visualization tool to identify NVA in the process, then the FSM can make through the application of Lean principles for decreasing throughput time. 4.1 CSM From the below data collected, we have identified areas for development to reduce the throughput time of Process. The current state process and related value stream mapping ofas shown in Table 1 and Figures 3 & 4. Assembly Station Process Time(seconds) AS-1 Release Assembly 150 AS-2 Mechanism Assembly 114 TS-1 OT/CP Testing 180 TS-2 Thermal/Magnetic Testing 200 FS-1 Cover joining 120 FS-2 Mid-cover joining 158 Packing Carton packing 96 Table-1: Process Activities with Time Fig-3: Graphical Representation of Station Timing before VSM Fig-4: Current State Map Fig-5: Timeline Diagram of Current State Map AS-1 AS-2 TS-1 TS-2 FS-1 FS-2 Packing WC:150 sec WC:114 sec WC:180 sec WC:200 sec WC:120 sec WC:158 sec WC:96 sec 0 CT: 150 sec 10 CT: 114 sec 45 CT: 180 sec 15 CT: 200 sec 5 CT: 120 sec 0 CT: 158 sec 0 CT: 96 sec 0 Effi:80% Effi:80% Effi:80% Effi:80% Effi:80% Effi:80% Effi:80% Shift:2 Shift:2 Shift:2 Shift:2 Shift:2 Shift:2 Shift:2 Time:51000 sec Time:51000 sec Time:51000 sec Time:51000 sec Time:5100 0 sec Time:5100 0 sec Time:51000 sec DailyPlanning Monthly Planning 0.033333 0.15 0.05 0.0166667 0 0 0 0.25 NVA In Days 150 114 180 200 120 158 96 1018 VA In sec 0 50 100 150 200 250 AS-1 AS-2 TS-1 TS-2 FS-1 FS-2 Packing TIME chart
  • 4. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 58 - 63 _______________________________________________________________________________________________ 61 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ Calculations of CSM ratio: Percentage of NVA Time=Total NVA time in seconds/Total processing time in seconds × 100 =900/1918 × 100 =47% Percentage of VA Time=Total VA time in seconds/Total processing time in seconds × 100 =1018/1918 × 100 =53% 4.2 Takt time After completing CSM we identified the Key characteristics of the Future State and are reviewed with the Top management to obtain input and gain mutual agreement on the direction of the Future State. Looking at the current state map for several things showed up. From the German word, Takt is the word for the wand a conductor uses to control hisOrchestra‟s speed, beat and timing. In manufacturing, it refers to the frequency of a part or component must be produced to meet customers‟ demand. [6] Described mathematically, Takt time is: Available time for production / required units of production In our Case Demand is 250 units/day. Available time for a shift is 25500 seconds. So, Takt time = 25500/300 =85 Breaker/shift 5. Lean implementation through kaizen anddevelopment of FSM Kaizen shows a lead role inimproving the productivity and quality of the products. Kaizen is a strategy to include concepts, systems and tools within the bigger picture of leadership involving people and their culture all driven by the customer. The brain storming analysis of VSM revealed the following major NVA identified as operator‟s movement and their skill, poor process, delay in material transfer and cooling time for which the proposed lean solutions are suggested as follows. Table 2 and Figures 7 and 8. Station Task Involved NVA Activities Proposed solution AS-1 Release inserting in Housing Delay in material Pick up Rake provide near Station AS-2 Trip plate Inserting Manually trip plate Cutting Mould modification TS-1 Doing CP testing manually Take reading Manually & note down in a register. Automated set up for CP testing TS-2 Thermal /magnetic Testing Cooling time Increase Shift timing FS-2 Cover Assembly on Breaker Waiting & transport Delay Re-lay outing Table-2: Proposed Lean Solution Fig-6:Graphical Representation of Station Timing after VSM 0 50 100 150 200 AS-1 AS-2 TS-1 TS-2 FS-1 FS-2 Packing TIME chart
  • 5. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 58 - 63 _______________________________________________________________________________________________ 62 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ Fig-7: Future State Map Fig-8:Timeline Diagram of Future State Map Calculations of FSM ratio: Percentage of NVA Time=Total NVA time in seconds/Total processing time in seconds × 100 =480/1406 × 100 =34% Percentage of VA Time=Total VA time in seconds/Total processing time in seconds × 100 =926/1406 × 100 =66% 6. CONCLUSION In our case study, applying VSM tool for the MCCB assembly, a current scenario isdeveloped as a part of CSM to find the non-value added activities and an FSMis created by eliminating non-value added activities of the process VSM future state map shows significant improvement in the MCCB assembly process and its throughput time is also reduced to 1018 seconds to 926 seconds, Which demonstrate that any delay can be analysed through value stream mapping. The present study provides a case study of the improvement of MCCB manufacturing industry by focusing reducing NVA activities, cycle time and increasing productivity through VSM and kaizen principles, it can be concluded that VSM and kaizen are the effective toolsfor identifying and reducing the process wastes respectively. By performing the technical suitability, economical justifications and feasibility analysis, we have suggested the recommendations of these tools to induct for the medium scale enterprises confidently. APPENDIX Available Production Time: Available time is the shift time minus planned breaks and is measured in minutes. Available Operating Time: Available production time minus changeover time measured in minutes. Kaizen: „Kai‟ meaning way, „Zen‟ means good. Which together account for continuous improvement. Lead Time: The amount of time that elapses between when a process starts and when it is completed. Takt time: Derived from the German word Taktzeit, translated best as meter, is the average unit production time needed to meet customer demand. MCCB: Molded Case Circuit Breaker VSM: Value Stream Mapping CSM: Current State Map FSM: Future State Map REFERENCES [1] “Production Flow Analysis through Value Stream Mapping” Rahani AR, Muhammad al-Ashraf, Science Direct Procedia Engineering 41 (2012) 1727 – 1734 [2] “The seven value stream mapping tools” Peter Hines, Nick Rich, International Journal of Operations & Production Management, 2000 [3] “Process Planning through Value Stream Mapping in Foundry shop” Colin Herrona, Paul M. Braidenb, Journal of Economics and Sustainable Development, Vol.3, 2012 [4] "Use of the Value Stream Mapping Tool for Waste Reduction in Manufacturing. Case Study for Bread Manufacturing in Zimbabwe” A Marecha, Mhlanga, AS-1 AS-2 TS-1 TS-2 FS-1 FS-2 Packing WC:130 sec WC:105 sec WC:150 sec WC:185 sec WC:120 sec WC:140 sec WC:96 sec 0 CT: 130 sec 0 CT: 105 sec 30 CT: 150 sec 10 CT: 185 sec 0 CT: 120 sec 0 CT: 140 sec 0 CT: 96 sec 0 Effi:80% Effi:80% Effi:80% Effi:80% Effi:80% Effi:80% Effi:80% Shift:2 Shift:2 Shift:2 Shift:2 Shift:2 Shift:2 Shift:2 Time:51000 sec Time:51000 sec Time:51000 sec Time:51000 sec Time:5100 0 sec Time:5100 0 sec Time:51000 sec DailyPlanning Monthly Planning 0 0.1 0.033333 0 0 0 0 0.133333 NVA In Days 130 105 150 185 120 140 96 926 VA In sec
  • 6. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 58 - 63 _______________________________________________________________________________________________ 63 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ International Conference on Industrial Engineering and Operations Management, 2011 [5] “Value Stream Mapping (The Complete Lean Enterprise, Productivity Press, 2004)” I Karjalainen, R Domingo, R Alvarez, International Journal of Development Research, 2004 [6] “Materials flow improvement in a lean assembly line: a case study" Roberto Alvarez and Marta Melodıa Pena Assembly Automation, Vol. 27 Iss 2 pp. 141 – 147, 2007 [7] “Measuring the impact of Lean tools on the cost–time investment of a product using cost–time profiles “Leonardo Rivera, F. Frank Chen, Robotics and Computer-Integrated Manufacturing 23 (2007) 684–689,2007 [8] “Methodical approach to increase productivity and reduce lead time in assembly and production-logistic processes”P. Kuhlang, T. Edtmayr, W. Sihn, CIRP Journal of Manufacturing Science and Technology, 2011 [9] “Cycle time reduction in context to the make to order (MTO) environment” Sanjay Sharma, Journal of Manufacturing Technology Vol. 24 No. 3, 2013 [10] “Improvement of Process Cycle Efficiency by Implementing a Lean Practice: A Case Study”Ravindrakumar S. Agrahari, Priyanka A. Dangle, Prof. K.V. Chandratre,international journal of research in aeronautical and mechanical engineering vol.3 Issue.3,2015 [11] “Application of value stream Mapping in pump assembly process: A case study” Dushyanth Kumar KR, Shivashankar GS and Rajeshwar SK, Journal of industrial engineering & management Volume 4, Issue 3, 2015 [12] “Comparison of Labor Standards for a Greenhouse” James T. Luxhoj, Gene A. Giacomelli, International Journal of Operations & Production Management, 2000