SlideShare a Scribd company logo
1 of 20
Form #: 00-LS80-F103-A Revision Date 02.03.2011
SMED Kaizen Event
Nypro JRZ
1
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Team Introduction
Project champion/leader: Paul Ramirez – LSS
Project sponsor: Antonio Rangel
Lean champion: Fermin Renteria
Core team members:
Alejandro Escareno - Process
Pedro Rodriguez – Tool Room
Angel Cruz - Planning
Alejandro Escareno - Process
Jesus Chanez– Maintenance
Jose L. Reyna- Production
Luis Martinez- Metrology
2
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Define
Problem/Opportunity Statement
Nypro Juarez, since March, 2014 has experienced
mold change and start up time in 16 hrs Avg.
This Long Time represent the flow defects and cost:
-Waiting's
-Fine Tune
-Up Mold
-Final Approval
-Quality Release
Project Scope
NYPRO JUAREZ
SMED
Goal Statement
Define stability in the scheduled system and
the change over process. Establish
HEIJUNKA tool in the all IMM and the
communication system . Avoid the waiting's
in the change over process and avoid the
excess machine change over Reduce the
change over time by 50% (Current 16 hrs to
8 hrs Avg. ) with methodology of SMED,
converting internal activities to external
Business Case / Financial Impact
Set-up time reduction in a 50 %.
Cost per set-up time $515.2 USD avg. (Machine
Rate)
Qty of mold changes per month 240 Avg
Actual monthly cost = 240 x $515.2 USD = $123,648
USD x 50% of reduction = $61,824 USD monthly
savings.
OEE metric increase from (measuring) 49% to up to
75%.
3
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Define
Quality Parameters
Project Timeline
Change Over Time
OEE
Qty Re-Start up
Qty Start Up
% Heijunka
Voice of the Customer
Minimize down time for set-up time
Increase %OEE
Mold set-up time (mold down / mold up) Target
3 hrs
Start up time (fine tune / final approval) Target
3 hrs
Increase % Heijunka
Phase Date Planned Start Date Date Completed
Define 3/5/2014 7/5/2014 7/5/2014
Measure 10/5/2014 11/6/2014 11/6/2014
Analyze 14/6/2014 18/6/2014 18/6/2014
Improve 21/7/2014 27/7/2014 27/7/2014
Control 28/7/2014 30/9/2014 30/9/2014
4
Form #: 00-LS80-F103-A Revision Date 02.03.2011 5
Measure – Actual work
elements
We measured the actual work elements in the set-up time
(including mold change and start up). We display the steps using like flow chart.
This Flow Chart are since last FG to First FG of other product.
Form #: 00-LS80-F103-A Revision Date 02.03.2011 6
Measure – Actual work
elements
We measured the actual work elements in the set-up time
(including mold change and start up). We display the steps using like flow
chart.
Changue Over Time include: Change Mold, Start up, Quality Release, Fine
Tune.
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Measure – Change Over Times
7
W-46W-47W-48W-49W-50 W-1 W-2 W-3 W-4 W-5 W-6 W-7 W-8 W-9 W-10W-11W-12W-13W-14W-15W-16W-17W-18W-19W-20W-21W-22W-23W-24W-25W-26W-27
Change over time Avg/week 8.4 4.2 17.9 9.29 11.45 3.95 13.7 10.278.176 6.65 12.3 9.47113.25 8.12 8.06 5.3 11.2616.0315.01 13.3 8.36 7.28 8.44 6.16 18.2810.1614.1710.1512.38 12 2.03 16.53
8.4
4.2
17.9
9.29
11.45
3.95
13.7
10.266
8.175555556
6.65
12.3
9.470833333
13.25
8.12 8.06
5.3
11.26
16.03
15.01
13.3
8.36
7.28
8.44
6.16
18.28
10.16
14.17
10.15
12.38
12
2.03
16.53
0
2
4
6
8
10
12
14
16
18
20
HRS
Change over time
Graphic average time of Change Over which we see is not stable and is much downtime
SMED methodology.
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Measure – Pareto Chart
8
Time consumed 578.5 67.8 49.3 37.1 31.3
Percent 75.7 8.9 6.4 4.9 4.1
Cum % 75.7 84.6 91.0 95.9 100.0
Steps OtherFinal ApprovalUp MoldFine tuneWaits
800
700
600
500
400
300
200
100
0
100
80
60
40
20
0
Timeconsumed
Percent
Change over time main steps
This is a pareto the time we have in change Over Time, shows that 80% are waiting (waste).
Fine Tune: is when is when the technician makes final adjustment to the process
Up Mold; is when the technician change the different mold to start the setup
Final Aprooval: is when metrology does the release of the piece for run.
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Measure– diagram spaghetti
9
Technical movements were measured with a spaghetti diagram for waste and reduce
movements
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Analyze–Root Cause Analysis
10
Tool Cause and effect is used to facilitate the analysis of problems and
solutions regarding on methodology SMED, focused with the ideals
management framework of the same methodology.
Form #: 00-LS80-F103-A Revision Date 02.03.2011 11
Analyze – Internal to
External activities
We identified the internal and external activities, and we defined
conditions for achieve move the internal as external.
Form #: 00-LS80-F103-A Revision Date 02.03.2011 12
Analyze – Internal to
External activities
We identified move aprox 40% of the internal activities as external
activities
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Analyze Summary
Root Cause Problem Cause Cause Validation
Explain the root cause in a
short phrase
How much do this cause
contribute to the overall
problem (as percentage)
Tool to validate root cause
Don’t use of signal (HEIJUNKA)
to prepare mold change
40% C&E and flow diagram
Lack of equipment to dry the
resin (prepare the resin before
to start)
15% C&E and flow diagram
Conflict production and mold
change
15% C&E and flow diagram
Molds not available 5% C&E and flow diagram
No Heijunka implemented
100%
20% C&E and flow diagram
13
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Improve
14
Now every supervisor
and technicians have
radios to communicate
with each other.
Supervisors had to go
directly to the
technician to give a
new order similarly
among technical
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Improve
15
Hose racks were placed in all
bays and reduce the waiting
time
Buy tool kit and “Car of rapid change
over”
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Improve
16
the rings and molds were identified to reduce
downtime by poor identification
were assigned areas par
avoid no added value in
the template switching in
search of molds
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Improve
17
Heijunka program is 100% gender throughout the plant
Form #: 00-LS80-F103-A Revision Date 02.03.2011 18
Control –
•Monthly reviews with management
•Weekly meetings with the team
•Weekly meters to observe any abnormalities
•Standard work of the technical molding
•Work instruction of Technician of Molding (JZ-JD-2010-0109 Rev.1)
•Formats to time making(JZ-VF-2008-0192 Rev.2)
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Control Summary
Implementation Plan Process Ownership
Future Opportunities
Replication:
The project will be replicated in metrology
area for the measurement of parts.
Documentation
STD Work
Sheet SMED
Process supervisor is the owner of the preparation
process. Metrics:
•% OEE,
•Qty Changue molds
•% Heijunka
•Qty Re- Start-up
•Qty screw cleanig
•Qty Mold cleaning preventive
19
Form #: 00-LS80-F103-A Revision Date 02.03.2011
Project summary Project Approach
 SMED Methodology
 STD Work
Impact on shareholder value
 Change Over reduccion time 50 %
 Increase Qty Mold cleaning without Loto
 Drecrease Qty Screw cleaning
 Home: 3/5/2014
 Term: 30 / 9 / 2014
Executive Summary
20
Base line Current Time Change Mold Rate x Hr
Avg.
Change Over Change Over Per month Avg..
 16 hrs 9 hrs 232 $32.20
USD
Soft Saving
Per month Avg.
$52,292 USD

More Related Content

What's hot

SMED - Single Minute Exchange of Dies
SMED - Single Minute Exchange of DiesSMED - Single Minute Exchange of Dies
SMED - Single Minute Exchange of Dies5S BALAMURUGAN
 
How to implement Single minute exchange of die
How to implement Single minute exchange of die How to implement Single minute exchange of die
How to implement Single minute exchange of die Nikunj Rana
 
Reduce SMT Changeover Time
Reduce SMT Changeover TimeReduce SMT Changeover Time
Reduce SMT Changeover TimeDamian Denis
 
SMED implementation on Automated Stamping Line
SMED implementation on Automated Stamping LineSMED implementation on Automated Stamping Line
SMED implementation on Automated Stamping LineParth Patel
 
Lean Quick Changeover (SMED) Training Module
Lean Quick Changeover (SMED) Training ModuleLean Quick Changeover (SMED) Training Module
Lean Quick Changeover (SMED) Training ModuleFrank-G. Adler
 
Smed Training Model Trainer Instructions[1]
Smed Training Model Trainer Instructions[1]Smed Training Model Trainer Instructions[1]
Smed Training Model Trainer Instructions[1]exerciselean
 
PPT ON SINGLE MINUTE EXCHANGE OF DIES (SMED)
PPT ON SINGLE MINUTE EXCHANGE OF DIES (SMED)PPT ON SINGLE MINUTE EXCHANGE OF DIES (SMED)
PPT ON SINGLE MINUTE EXCHANGE OF DIES (SMED)Inter Alliance Werardt
 
Single Minute Exchange of Dies (SMED)
Single Minute Exchange of Dies (SMED)Single Minute Exchange of Dies (SMED)
Single Minute Exchange of Dies (SMED)Pramod A
 
Jishu Hozen or Autonomous Maintenance
Jishu Hozen or Autonomous Maintenance Jishu Hozen or Autonomous Maintenance
Jishu Hozen or Autonomous Maintenance DEEPAK SAHOO
 
LEAN Setup Reduction (SMED) training for welding by JULIAN KALAC
LEAN Setup Reduction (SMED) training for welding by JULIAN KALACLEAN Setup Reduction (SMED) training for welding by JULIAN KALAC
LEAN Setup Reduction (SMED) training for welding by JULIAN KALACJulian Kalac P.Eng
 
Identify 7 Wastes
Identify 7 WastesIdentify 7 Wastes
Identify 7 WastesLean for U
 

What's hot (20)

SMED - Single Minute Exchange of Dies
SMED - Single Minute Exchange of DiesSMED - Single Minute Exchange of Dies
SMED - Single Minute Exchange of Dies
 
SMED Kaizen Event
SMED Kaizen EventSMED Kaizen Event
SMED Kaizen Event
 
smed
smedsmed
smed
 
SMED overview
SMED overviewSMED overview
SMED overview
 
How to implement Single minute exchange of die
How to implement Single minute exchange of die How to implement Single minute exchange of die
How to implement Single minute exchange of die
 
Reduce SMT Changeover Time
Reduce SMT Changeover TimeReduce SMT Changeover Time
Reduce SMT Changeover Time
 
SMED implementation on Automated Stamping Line
SMED implementation on Automated Stamping LineSMED implementation on Automated Stamping Line
SMED implementation on Automated Stamping Line
 
Lean Quick Changeover (SMED) Training Module
Lean Quick Changeover (SMED) Training ModuleLean Quick Changeover (SMED) Training Module
Lean Quick Changeover (SMED) Training Module
 
Smed Training Model Trainer Instructions[1]
Smed Training Model Trainer Instructions[1]Smed Training Model Trainer Instructions[1]
Smed Training Model Trainer Instructions[1]
 
Single Minute Exchange of Dies
Single Minute Exchange of DiesSingle Minute Exchange of Dies
Single Minute Exchange of Dies
 
PPT ON SINGLE MINUTE EXCHANGE OF DIES (SMED)
PPT ON SINGLE MINUTE EXCHANGE OF DIES (SMED)PPT ON SINGLE MINUTE EXCHANGE OF DIES (SMED)
PPT ON SINGLE MINUTE EXCHANGE OF DIES (SMED)
 
Single Minute Exchange of Dies (SMED)
Single Minute Exchange of Dies (SMED)Single Minute Exchange of Dies (SMED)
Single Minute Exchange of Dies (SMED)
 
PFMEA-Training.pptx
PFMEA-Training.pptxPFMEA-Training.pptx
PFMEA-Training.pptx
 
Jishu Hozen or Autonomous Maintenance
Jishu Hozen or Autonomous Maintenance Jishu Hozen or Autonomous Maintenance
Jishu Hozen or Autonomous Maintenance
 
5.3 poka-yoke
5.3 poka-yoke5.3 poka-yoke
5.3 poka-yoke
 
LEAN Setup Reduction (SMED) training for welding by JULIAN KALAC
LEAN Setup Reduction (SMED) training for welding by JULIAN KALACLEAN Setup Reduction (SMED) training for welding by JULIAN KALAC
LEAN Setup Reduction (SMED) training for welding by JULIAN KALAC
 
SMED
SMEDSMED
SMED
 
Smed smpl 1
Smed smpl 1Smed smpl 1
Smed smpl 1
 
Identify 7 Wastes
Identify 7 WastesIdentify 7 Wastes
Identify 7 Wastes
 
DOJO Slide.pdf
DOJO  Slide.pdfDOJO  Slide.pdf
DOJO Slide.pdf
 

Similar to SMED Jabil Juarez

Balugaon_Orientation_02Apr13.pptx
Balugaon_Orientation_02Apr13.pptxBalugaon_Orientation_02Apr13.pptx
Balugaon_Orientation_02Apr13.pptxtesternagesh2
 
UTC Aerospace System - Value Stream Mapping
UTC Aerospace System - Value Stream MappingUTC Aerospace System - Value Stream Mapping
UTC Aerospace System - Value Stream MappingLean6Sigma4all
 
PRODUCTIVITY IMPROVEMENT OF PRE-TREATMENTS & POWDER COATING PROCESS.
PRODUCTIVITY IMPROVEMENT OF PRE-TREATMENTS & POWDER COATING PROCESS.PRODUCTIVITY IMPROVEMENT OF PRE-TREATMENTS & POWDER COATING PROCESS.
PRODUCTIVITY IMPROVEMENT OF PRE-TREATMENTS & POWDER COATING PROCESS.Raheem Arif
 
Accomplishments take out STD TIS
Accomplishments take out STD TISAccomplishments take out STD TIS
Accomplishments take out STD TISVictoria Blackmer
 
Maintenance Management - Project
Maintenance Management - ProjectMaintenance Management - Project
Maintenance Management - ProjectAbhishek Raj
 
‘5S’ Implementation in a Fasteners Manufacturing Company
‘5S’ Implementation in a Fasteners Manufacturing Company‘5S’ Implementation in a Fasteners Manufacturing Company
‘5S’ Implementation in a Fasteners Manufacturing CompanyIRJET Journal
 
Presentation SLOB Material Reduction
Presentation SLOB Material ReductionPresentation SLOB Material Reduction
Presentation SLOB Material ReductionCATHERINE NGUYEN
 
IRJET- A Case Study Approach of Quality Tools in Manufacturing Industry
IRJET- A Case Study Approach of Quality Tools in Manufacturing IndustryIRJET- A Case Study Approach of Quality Tools in Manufacturing Industry
IRJET- A Case Study Approach of Quality Tools in Manufacturing IndustryIRJET Journal
 
90915 03006 wp928-80 genuine toyota oil filter
90915 03006 wp928-80 genuine toyota oil filter90915 03006 wp928-80 genuine toyota oil filter
90915 03006 wp928-80 genuine toyota oil filterFilter Expert Co.,Ltd.
 
QCC - QIC Presentation, Mission Possible Team
QCC - QIC Presentation, Mission Possible TeamQCC - QIC Presentation, Mission Possible Team
QCC - QIC Presentation, Mission Possible TeamArief M Ridwan
 
Presentation1 work study.pptx
Presentation1 work study.pptxPresentation1 work study.pptx
Presentation1 work study.pptxmesfin88
 
Work Sampling in the excavator
Work Sampling in the excavatorWork Sampling in the excavator
Work Sampling in the excavatorSriguru Aithal
 
IRJET- Productivity Improvement in Manufacturing Industry using Lean Tools
IRJET- Productivity Improvement in Manufacturing Industry using Lean ToolsIRJET- Productivity Improvement in Manufacturing Industry using Lean Tools
IRJET- Productivity Improvement in Manufacturing Industry using Lean ToolsIRJET Journal
 
# 3 PPT - Expose Your Hidden Problems Using Visual Management
# 3 PPT - Expose Your Hidden Problems Using Visual Management# 3 PPT - Expose Your Hidden Problems Using Visual Management
# 3 PPT - Expose Your Hidden Problems Using Visual ManagementRhonda Kovera
 
CURR RB Ing 2015 rev
CURR RB Ing 2015 revCURR RB Ing 2015 rev
CURR RB Ing 2015 revRaul Becerril
 

Similar to SMED Jabil Juarez (20)

Balugaon_Orientation_02Apr13.pptx
Balugaon_Orientation_02Apr13.pptxBalugaon_Orientation_02Apr13.pptx
Balugaon_Orientation_02Apr13.pptx
 
UTC Aerospace System - Value Stream Mapping
UTC Aerospace System - Value Stream MappingUTC Aerospace System - Value Stream Mapping
UTC Aerospace System - Value Stream Mapping
 
PRODUCTIVITY IMPROVEMENT OF PRE-TREATMENTS & POWDER COATING PROCESS.
PRODUCTIVITY IMPROVEMENT OF PRE-TREATMENTS & POWDER COATING PROCESS.PRODUCTIVITY IMPROVEMENT OF PRE-TREATMENTS & POWDER COATING PROCESS.
PRODUCTIVITY IMPROVEMENT OF PRE-TREATMENTS & POWDER COATING PROCESS.
 
Accomplishments take out STD TIS
Accomplishments take out STD TISAccomplishments take out STD TIS
Accomplishments take out STD TIS
 
Maintenance Management - Project
Maintenance Management - ProjectMaintenance Management - Project
Maintenance Management - Project
 
K012556370
K012556370K012556370
K012556370
 
K012556370
K012556370K012556370
K012556370
 
‘5S’ Implementation in a Fasteners Manufacturing Company
‘5S’ Implementation in a Fasteners Manufacturing Company‘5S’ Implementation in a Fasteners Manufacturing Company
‘5S’ Implementation in a Fasteners Manufacturing Company
 
Presentation SLOB Material Reduction
Presentation SLOB Material ReductionPresentation SLOB Material Reduction
Presentation SLOB Material Reduction
 
IRJET- A Case Study Approach of Quality Tools in Manufacturing Industry
IRJET- A Case Study Approach of Quality Tools in Manufacturing IndustryIRJET- A Case Study Approach of Quality Tools in Manufacturing Industry
IRJET- A Case Study Approach of Quality Tools in Manufacturing Industry
 
Industrial Machines Maintenance
Industrial Machines MaintenanceIndustrial Machines Maintenance
Industrial Machines Maintenance
 
A012430106
A012430106A012430106
A012430106
 
90915 03006 wp928-80 genuine toyota oil filter
90915 03006 wp928-80 genuine toyota oil filter90915 03006 wp928-80 genuine toyota oil filter
90915 03006 wp928-80 genuine toyota oil filter
 
QCC - QIC Presentation, Mission Possible Team
QCC - QIC Presentation, Mission Possible TeamQCC - QIC Presentation, Mission Possible Team
QCC - QIC Presentation, Mission Possible Team
 
Presentation1 work study.pptx
Presentation1 work study.pptxPresentation1 work study.pptx
Presentation1 work study.pptx
 
Work Sampling in the excavator
Work Sampling in the excavatorWork Sampling in the excavator
Work Sampling in the excavator
 
IRJET- Productivity Improvement in Manufacturing Industry using Lean Tools
IRJET- Productivity Improvement in Manufacturing Industry using Lean ToolsIRJET- Productivity Improvement in Manufacturing Industry using Lean Tools
IRJET- Productivity Improvement in Manufacturing Industry using Lean Tools
 
Maintenance Work Order
Maintenance Work OrderMaintenance Work Order
Maintenance Work Order
 
# 3 PPT - Expose Your Hidden Problems Using Visual Management
# 3 PPT - Expose Your Hidden Problems Using Visual Management# 3 PPT - Expose Your Hidden Problems Using Visual Management
# 3 PPT - Expose Your Hidden Problems Using Visual Management
 
CURR RB Ing 2015 rev
CURR RB Ing 2015 revCURR RB Ing 2015 rev
CURR RB Ing 2015 rev
 

Recently uploaded

Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHC Sai Kiran
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AIabhishek36461
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
Vishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documentsVishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documentsSachinPawar510423
 
Transport layer issues and challenges - Guide
Transport layer issues and challenges - GuideTransport layer issues and challenges - Guide
Transport layer issues and challenges - GuideGOPINATHS437943
 
Piping Basic stress analysis by engineering
Piping Basic stress analysis by engineeringPiping Basic stress analysis by engineering
Piping Basic stress analysis by engineeringJuanCarlosMorales19600
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncssuser2ae721
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)dollysharma2066
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)Dr SOUNDIRARAJ N
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxKartikeyaDwivedi3
 
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEINFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEroselinkalist12
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...Chandu841456
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort servicejennyeacort
 

Recently uploaded (20)

Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECH
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AI
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
 
Vishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documentsVishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documents
 
Transport layer issues and challenges - Guide
Transport layer issues and challenges - GuideTransport layer issues and challenges - Guide
Transport layer issues and challenges - Guide
 
Piping Basic stress analysis by engineering
Piping Basic stress analysis by engineeringPiping Basic stress analysis by engineering
Piping Basic stress analysis by engineering
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptx
 
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEINFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...
 
young call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Serviceyoung call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Service
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
 

SMED Jabil Juarez

  • 1. Form #: 00-LS80-F103-A Revision Date 02.03.2011 SMED Kaizen Event Nypro JRZ 1
  • 2. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Team Introduction Project champion/leader: Paul Ramirez – LSS Project sponsor: Antonio Rangel Lean champion: Fermin Renteria Core team members: Alejandro Escareno - Process Pedro Rodriguez – Tool Room Angel Cruz - Planning Alejandro Escareno - Process Jesus Chanez– Maintenance Jose L. Reyna- Production Luis Martinez- Metrology 2
  • 3. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Define Problem/Opportunity Statement Nypro Juarez, since March, 2014 has experienced mold change and start up time in 16 hrs Avg. This Long Time represent the flow defects and cost: -Waiting's -Fine Tune -Up Mold -Final Approval -Quality Release Project Scope NYPRO JUAREZ SMED Goal Statement Define stability in the scheduled system and the change over process. Establish HEIJUNKA tool in the all IMM and the communication system . Avoid the waiting's in the change over process and avoid the excess machine change over Reduce the change over time by 50% (Current 16 hrs to 8 hrs Avg. ) with methodology of SMED, converting internal activities to external Business Case / Financial Impact Set-up time reduction in a 50 %. Cost per set-up time $515.2 USD avg. (Machine Rate) Qty of mold changes per month 240 Avg Actual monthly cost = 240 x $515.2 USD = $123,648 USD x 50% of reduction = $61,824 USD monthly savings. OEE metric increase from (measuring) 49% to up to 75%. 3
  • 4. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Define Quality Parameters Project Timeline Change Over Time OEE Qty Re-Start up Qty Start Up % Heijunka Voice of the Customer Minimize down time for set-up time Increase %OEE Mold set-up time (mold down / mold up) Target 3 hrs Start up time (fine tune / final approval) Target 3 hrs Increase % Heijunka Phase Date Planned Start Date Date Completed Define 3/5/2014 7/5/2014 7/5/2014 Measure 10/5/2014 11/6/2014 11/6/2014 Analyze 14/6/2014 18/6/2014 18/6/2014 Improve 21/7/2014 27/7/2014 27/7/2014 Control 28/7/2014 30/9/2014 30/9/2014 4
  • 5. Form #: 00-LS80-F103-A Revision Date 02.03.2011 5 Measure – Actual work elements We measured the actual work elements in the set-up time (including mold change and start up). We display the steps using like flow chart. This Flow Chart are since last FG to First FG of other product.
  • 6. Form #: 00-LS80-F103-A Revision Date 02.03.2011 6 Measure – Actual work elements We measured the actual work elements in the set-up time (including mold change and start up). We display the steps using like flow chart. Changue Over Time include: Change Mold, Start up, Quality Release, Fine Tune.
  • 7. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Measure – Change Over Times 7 W-46W-47W-48W-49W-50 W-1 W-2 W-3 W-4 W-5 W-6 W-7 W-8 W-9 W-10W-11W-12W-13W-14W-15W-16W-17W-18W-19W-20W-21W-22W-23W-24W-25W-26W-27 Change over time Avg/week 8.4 4.2 17.9 9.29 11.45 3.95 13.7 10.278.176 6.65 12.3 9.47113.25 8.12 8.06 5.3 11.2616.0315.01 13.3 8.36 7.28 8.44 6.16 18.2810.1614.1710.1512.38 12 2.03 16.53 8.4 4.2 17.9 9.29 11.45 3.95 13.7 10.266 8.175555556 6.65 12.3 9.470833333 13.25 8.12 8.06 5.3 11.26 16.03 15.01 13.3 8.36 7.28 8.44 6.16 18.28 10.16 14.17 10.15 12.38 12 2.03 16.53 0 2 4 6 8 10 12 14 16 18 20 HRS Change over time Graphic average time of Change Over which we see is not stable and is much downtime SMED methodology.
  • 8. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Measure – Pareto Chart 8 Time consumed 578.5 67.8 49.3 37.1 31.3 Percent 75.7 8.9 6.4 4.9 4.1 Cum % 75.7 84.6 91.0 95.9 100.0 Steps OtherFinal ApprovalUp MoldFine tuneWaits 800 700 600 500 400 300 200 100 0 100 80 60 40 20 0 Timeconsumed Percent Change over time main steps This is a pareto the time we have in change Over Time, shows that 80% are waiting (waste). Fine Tune: is when is when the technician makes final adjustment to the process Up Mold; is when the technician change the different mold to start the setup Final Aprooval: is when metrology does the release of the piece for run.
  • 9. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Measure– diagram spaghetti 9 Technical movements were measured with a spaghetti diagram for waste and reduce movements
  • 10. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Analyze–Root Cause Analysis 10 Tool Cause and effect is used to facilitate the analysis of problems and solutions regarding on methodology SMED, focused with the ideals management framework of the same methodology.
  • 11. Form #: 00-LS80-F103-A Revision Date 02.03.2011 11 Analyze – Internal to External activities We identified the internal and external activities, and we defined conditions for achieve move the internal as external.
  • 12. Form #: 00-LS80-F103-A Revision Date 02.03.2011 12 Analyze – Internal to External activities We identified move aprox 40% of the internal activities as external activities
  • 13. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Analyze Summary Root Cause Problem Cause Cause Validation Explain the root cause in a short phrase How much do this cause contribute to the overall problem (as percentage) Tool to validate root cause Don’t use of signal (HEIJUNKA) to prepare mold change 40% C&E and flow diagram Lack of equipment to dry the resin (prepare the resin before to start) 15% C&E and flow diagram Conflict production and mold change 15% C&E and flow diagram Molds not available 5% C&E and flow diagram No Heijunka implemented 100% 20% C&E and flow diagram 13
  • 14. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Improve 14 Now every supervisor and technicians have radios to communicate with each other. Supervisors had to go directly to the technician to give a new order similarly among technical
  • 15. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Improve 15 Hose racks were placed in all bays and reduce the waiting time Buy tool kit and “Car of rapid change over”
  • 16. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Improve 16 the rings and molds were identified to reduce downtime by poor identification were assigned areas par avoid no added value in the template switching in search of molds
  • 17. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Improve 17 Heijunka program is 100% gender throughout the plant
  • 18. Form #: 00-LS80-F103-A Revision Date 02.03.2011 18 Control – •Monthly reviews with management •Weekly meetings with the team •Weekly meters to observe any abnormalities •Standard work of the technical molding •Work instruction of Technician of Molding (JZ-JD-2010-0109 Rev.1) •Formats to time making(JZ-VF-2008-0192 Rev.2)
  • 19. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Control Summary Implementation Plan Process Ownership Future Opportunities Replication: The project will be replicated in metrology area for the measurement of parts. Documentation STD Work Sheet SMED Process supervisor is the owner of the preparation process. Metrics: •% OEE, •Qty Changue molds •% Heijunka •Qty Re- Start-up •Qty screw cleanig •Qty Mold cleaning preventive 19
  • 20. Form #: 00-LS80-F103-A Revision Date 02.03.2011 Project summary Project Approach  SMED Methodology  STD Work Impact on shareholder value  Change Over reduccion time 50 %  Increase Qty Mold cleaning without Loto  Drecrease Qty Screw cleaning  Home: 3/5/2014  Term: 30 / 9 / 2014 Executive Summary 20 Base line Current Time Change Mold Rate x Hr Avg. Change Over Change Over Per month Avg..  16 hrs 9 hrs 232 $32.20 USD Soft Saving Per month Avg. $52,292 USD