SlideShare a Scribd company logo
1 of 33
Lean Systems by  Sashi.Prabhu
Lean Systems The ability to make  exactly   what the  customer  wants as they  order  it.
Benefits:  Tangible  &  Intangible ,[object Object],[object Object],[object Object],[object Object],[object Object],0   100 Lead Time Reduction Productivity Increase WIP Reduction Quality Improvement Space Utilization
Time & Cost Relationship “ The longer an article is in the process of manufacture and the more it is moved about,  the greater its ultimate cost.” --Henry Ford, 1926
History of Lean ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
“Lean Thinking” ,[object Object],[object Object],[object Object],[object Object]
Definition of Waste ,[object Object],[object Object],[object Object],[object Object]
Value Added  vs. Non-value Added ,[object Object],[object Object],[object Object]
Total Order Lead Time Breakdown Value Added Ratio   = 0  1  2  3  4  5 Elapsed  Time Value Added Time Elapsed Time VA NVA
Value Added Ratio Calculation Value Added Ratio   = 5 VA NVA 1.1 5.3 = 20.7 % 0  1  2  3  4  5 Elapsed  Time
The Eight Process Wastes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Eight Service Industry Wastes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Lean Toolbox
5 S’s Campaign ,[object Object],[object Object],[object Object],[object Object],[object Object]
With an Organized Workplace : ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Quick Changeover Traditional setup and large batches Setup Run Quick change and small batches Externalized & Streamlined Tasks
Why Reduce Set-ups? Remember:  nothing is being produced! So, set-up time is   Non Value Added Setups need to be  eliminated, integrated, or simplified
“Pull” Production versus “Push” Push: Schedule-based Pull: Consumption-based
Pull   Systems - Advantages ,[object Object],[object Object],[object Object],[object Object]
Total Productive Maintenance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overall Equipment Effectiveness DOWNTIME Breakdowns Changeovers Adjustments SPEED Stoppages Slow-downs DEFECTS Process Defects Reduced Yields
Types of Poka Yoke Devices ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary:  Poka-Yoke… ,[object Object],[object Object],[object Object],[object Object]
Functional Layout Interrupted product flow Unbalanced operations Large batches Longer time to complete Complex material handling  -
Cellular Workplaces FG RM Includes Every Step Source Inspection Point of Use Storage Flexible Output Reduced Lot Size Simplified Handling Visual Goals & Metrics
Original Office Layout
Cellular Office Layout
Value Stream Mapping
Value Stream Map Supplier I  20 Days Driver 2/Month Daily Customer Assemble  C/T=15sec  C/O=15-50min  Uptime=100% Package  C/T=190sec  C/O=10min  Uptime=90% Test  C/T=45sec  C/O=20-70min  Uptime=80% I Total Cycle = 250 Seconds, and Total Lead = 29 Days Production  Control Orders Shop  Orders Ship  Schedule Daily  Priorities 60-Day  Forecast Weekly  Orders 4 Days I 5 Days 20 Days 4 Days 5 Days 15 Sec 45 Sec 190 Sec
Future State Goals Reduce  non-value added  activities Reduce  lead time Reduce  inventory  (especially WIP) Increase  throughput  (capacity) Reduced  batches  sizes Improve overall  productivity
Keys to Success ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],55
Share the mutual benefits of ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thanks very much

More Related Content

What's hot

What is Lean Six Sigma - ADDVALUE - Nilesh Arora
What is Lean Six Sigma -  ADDVALUE - Nilesh AroraWhat is Lean Six Sigma -  ADDVALUE - Nilesh Arora
What is Lean Six Sigma - ADDVALUE - Nilesh AroraADD VALUE CONSULTING Inc
 
Introduction of Flow Management in Manufacturing - ADDVALUE - Nilesh Arora
Introduction of Flow Management in Manufacturing - ADDVALUE - Nilesh AroraIntroduction of Flow Management in Manufacturing - ADDVALUE - Nilesh Arora
Introduction of Flow Management in Manufacturing - ADDVALUE - Nilesh AroraADD VALUE CONSULTING Inc
 
Lean Methods & Last Planning
Lean Methods & Last PlanningLean Methods & Last Planning
Lean Methods & Last PlanningThomas Almore
 
Lean Process and Production
Lean Process and ProductionLean Process and Production
Lean Process and Productionravina10008
 
UCSD Class: Lean Office
UCSD Class: Lean OfficeUCSD Class: Lean Office
UCSD Class: Lean OfficeTKMG, Inc.
 
Lean innovation - Basic principles of Lean
Lean innovation - Basic principles of LeanLean innovation - Basic principles of Lean
Lean innovation - Basic principles of LeanJoeri Vercammen, PhD
 
05 lean manufacturing and the jit philosophy
05 lean manufacturing and the jit philosophy05 lean manufacturing and the jit philosophy
05 lean manufacturing and the jit philosophyDr. Chandan Vichoray
 
Application of value stream mapping for reduction of cycle time in machining ...
Application of value stream mapping for reduction of cycle time in machining ...Application of value stream mapping for reduction of cycle time in machining ...
Application of value stream mapping for reduction of cycle time in machining ...Sumit Bhattacharya
 
Value Stream Mapping Training - ADDVALUE - Nilesh Arora
Value Stream Mapping Training - ADDVALUE - Nilesh AroraValue Stream Mapping Training - ADDVALUE - Nilesh Arora
Value Stream Mapping Training - ADDVALUE - Nilesh AroraADD VALUE CONSULTING Inc
 
just-in-time-by-sashi-prabhu
 just-in-time-by-sashi-prabhu just-in-time-by-sashi-prabhu
just-in-time-by-sashi-prabhusashi prabhu
 
The quest of one-piece-flow in IT by Pierre Masai, Toyota Motor Europe
The quest of one-piece-flow in IT by Pierre Masai, Toyota Motor EuropeThe quest of one-piece-flow in IT by Pierre Masai, Toyota Motor Europe
The quest of one-piece-flow in IT by Pierre Masai, Toyota Motor EuropeInstitut Lean France
 
Simple Lean Value and Waste Training
Simple Lean Value and Waste TrainingSimple Lean Value and Waste Training
Simple Lean Value and Waste TrainingRomains Bos, PMP, MBA
 

What's hot (16)

What is Lean Six Sigma - ADDVALUE - Nilesh Arora
What is Lean Six Sigma -  ADDVALUE - Nilesh AroraWhat is Lean Six Sigma -  ADDVALUE - Nilesh Arora
What is Lean Six Sigma - ADDVALUE - Nilesh Arora
 
Introduction of Flow Management in Manufacturing - ADDVALUE - Nilesh Arora
Introduction of Flow Management in Manufacturing - ADDVALUE - Nilesh AroraIntroduction of Flow Management in Manufacturing - ADDVALUE - Nilesh Arora
Introduction of Flow Management in Manufacturing - ADDVALUE - Nilesh Arora
 
Lean Methods & Last Planning
Lean Methods & Last PlanningLean Methods & Last Planning
Lean Methods & Last Planning
 
Fundamentals of Lean
Fundamentals of LeanFundamentals of Lean
Fundamentals of Lean
 
Lean startup
Lean startupLean startup
Lean startup
 
Lean Process and Production
Lean Process and ProductionLean Process and Production
Lean Process and Production
 
UCSD Class: Lean Office
UCSD Class: Lean OfficeUCSD Class: Lean Office
UCSD Class: Lean Office
 
Lean innovation - Basic principles of Lean
Lean innovation - Basic principles of LeanLean innovation - Basic principles of Lean
Lean innovation - Basic principles of Lean
 
05 lean manufacturing and the jit philosophy
05 lean manufacturing and the jit philosophy05 lean manufacturing and the jit philosophy
05 lean manufacturing and the jit philosophy
 
Application of value stream mapping for reduction of cycle time in machining ...
Application of value stream mapping for reduction of cycle time in machining ...Application of value stream mapping for reduction of cycle time in machining ...
Application of value stream mapping for reduction of cycle time in machining ...
 
Value Stream Mapping Training - ADDVALUE - Nilesh Arora
Value Stream Mapping Training - ADDVALUE - Nilesh AroraValue Stream Mapping Training - ADDVALUE - Nilesh Arora
Value Stream Mapping Training - ADDVALUE - Nilesh Arora
 
J i-t
J i-tJ i-t
J i-t
 
just-in-time-by-sashi-prabhu
 just-in-time-by-sashi-prabhu just-in-time-by-sashi-prabhu
just-in-time-by-sashi-prabhu
 
The quest of one-piece-flow in IT by Pierre Masai, Toyota Motor Europe
The quest of one-piece-flow in IT by Pierre Masai, Toyota Motor EuropeThe quest of one-piece-flow in IT by Pierre Masai, Toyota Motor Europe
The quest of one-piece-flow in IT by Pierre Masai, Toyota Motor Europe
 
Simple Lean Value and Waste Training
Simple Lean Value and Waste TrainingSimple Lean Value and Waste Training
Simple Lean Value and Waste Training
 
WASTE ELIMINATION
WASTE ELIMINATIONWASTE ELIMINATION
WASTE ELIMINATION
 

Viewers also liked

Lean manufacturing
Lean manufacturingLean manufacturing
Lean manufacturingOmar Hussein
 
Lean Manufacturing: Improve Productivity, Quality, and Lead-Time
Lean Manufacturing: Improve Productivity, Quality, and Lead-TimeLean Manufacturing: Improve Productivity, Quality, and Lead-Time
Lean Manufacturing: Improve Productivity, Quality, and Lead-TimeDarren Dolcemascolo
 
Value stream mapping (future state)
Value stream mapping (future state)Value stream mapping (future state)
Value stream mapping (future state)nestor martinez
 
Value stream mapping (current state)
Value stream mapping (current state)Value stream mapping (current state)
Value stream mapping (current state)nestor martinez
 
Lean Change Management
Lean Change ManagementLean Change Management
Lean Change ManagementKen Flaherty
 
Lean six sigma (green belt)new
Lean six sigma (green belt)newLean six sigma (green belt)new
Lean six sigma (green belt)newHakeem-Ur- Rehman
 
Improving Productivity by Lean
Improving Productivity by LeanImproving Productivity by Lean
Improving Productivity by LeanANITHA BALA
 
Value Stream Mapping Process
Value Stream Mapping ProcessValue Stream Mapping Process
Value Stream Mapping ProcessAnand Subramaniam
 
8 stepfuturestatevaluestreammapping
8 stepfuturestatevaluestreammapping8 stepfuturestatevaluestreammapping
8 stepfuturestatevaluestreammappingPanview
 

Viewers also liked (12)

Lean manufacturing
Lean manufacturingLean manufacturing
Lean manufacturing
 
Understanding Lean IT
Understanding Lean IT Understanding Lean IT
Understanding Lean IT
 
Lean Manufacturing: Improve Productivity, Quality, and Lead-Time
Lean Manufacturing: Improve Productivity, Quality, and Lead-TimeLean Manufacturing: Improve Productivity, Quality, and Lead-Time
Lean Manufacturing: Improve Productivity, Quality, and Lead-Time
 
Value stream mapping (future state)
Value stream mapping (future state)Value stream mapping (future state)
Value stream mapping (future state)
 
Value stream mapping (current state)
Value stream mapping (current state)Value stream mapping (current state)
Value stream mapping (current state)
 
Lean Six Sigma Implementation
Lean Six Sigma ImplementationLean Six Sigma Implementation
Lean Six Sigma Implementation
 
Lean Change Management
Lean Change ManagementLean Change Management
Lean Change Management
 
Lean six sigma (green belt)new
Lean six sigma (green belt)newLean six sigma (green belt)new
Lean six sigma (green belt)new
 
Improving Productivity by Lean
Improving Productivity by LeanImproving Productivity by Lean
Improving Productivity by Lean
 
Value Stream Mapping Process
Value Stream Mapping ProcessValue Stream Mapping Process
Value Stream Mapping Process
 
8 stepfuturestatevaluestreammapping
8 stepfuturestatevaluestreammapping8 stepfuturestatevaluestreammapping
8 stepfuturestatevaluestreammapping
 
Lean Manufacturing - Toyota Production System
Lean Manufacturing - Toyota Production SystemLean Manufacturing - Toyota Production System
Lean Manufacturing - Toyota Production System
 

Similar to Lean Systems for Maximum Value and Minimum Waste

Lean presentation ppt
Lean presentation pptLean presentation ppt
Lean presentation pptbwu.nl
 
Generic Lean Overview For Future Employer Of Alan S Desrocher
Generic Lean Overview For Future Employer Of Alan S DesrocherGeneric Lean Overview For Future Employer Of Alan S Desrocher
Generic Lean Overview For Future Employer Of Alan S DesrocherAlan Desrocher
 
Lean 101 2 Hour 2011
Lean 101 2 Hour 2011Lean 101 2 Hour 2011
Lean 101 2 Hour 2011LCI1998
 
Make green go green by going lean
Make green go green by going leanMake green go green by going lean
Make green go green by going leanbwu.nl
 
SMED Setup & Lead Time Reduction
SMED Setup & Lead Time ReductionSMED Setup & Lead Time Reduction
SMED Setup & Lead Time ReductionAnand Subramaniam
 
Lean manufacturing presentation in pharmaceuticals industry
Lean manufacturing presentation in pharmaceuticals industryLean manufacturing presentation in pharmaceuticals industry
Lean manufacturing presentation in pharmaceuticals industrypraaditya2020
 
Lean Manufacturing 2009 - By Jerry Helms
Lean Manufacturing 2009 - By Jerry HelmsLean Manufacturing 2009 - By Jerry Helms
Lean Manufacturing 2009 - By Jerry HelmsNon Stop Portals
 
Lean manufacturing basics
Lean manufacturing basicsLean manufacturing basics
Lean manufacturing basicssarah bridge
 
Session 8
Session 8Session 8
Session 8thangv
 
Session 8_OM
Session 8_OMSession 8_OM
Session 8_OMthangv
 
Joe Moleski, Master Black Belt Lean Sigma Philosophy
Joe Moleski, Master Black Belt Lean Sigma PhilosophyJoe Moleski, Master Black Belt Lean Sigma Philosophy
Joe Moleski, Master Black Belt Lean Sigma Philosophyreelsports
 
Lean six sigma 3d
Lean six sigma 3dLean six sigma 3d
Lean six sigma 3dVarmahk
 

Similar to Lean Systems for Maximum Value and Minimum Waste (20)

Lean presentation ppt
Lean presentation pptLean presentation ppt
Lean presentation ppt
 
Generic Lean Overview For Future Employer Of Alan S Desrocher
Generic Lean Overview For Future Employer Of Alan S DesrocherGeneric Lean Overview For Future Employer Of Alan S Desrocher
Generic Lean Overview For Future Employer Of Alan S Desrocher
 
3 lean thinking & jit
3 lean thinking & jit3 lean thinking & jit
3 lean thinking & jit
 
MANT 265 S01.ppt
MANT 265 S01.pptMANT 265 S01.ppt
MANT 265 S01.ppt
 
Jit And Lean
Jit And LeanJit And Lean
Jit And Lean
 
LEAN MANUFACTURING USES
LEAN MANUFACTURING USESLEAN MANUFACTURING USES
LEAN MANUFACTURING USES
 
Lean 101 2 Hour 2011
Lean 101 2 Hour 2011Lean 101 2 Hour 2011
Lean 101 2 Hour 2011
 
Make green go green by going lean
Make green go green by going leanMake green go green by going lean
Make green go green by going lean
 
SMED Setup & Lead Time Reduction
SMED Setup & Lead Time ReductionSMED Setup & Lead Time Reduction
SMED Setup & Lead Time Reduction
 
Kaizen
KaizenKaizen
Kaizen
 
Chapter.1 just in time
Chapter.1 just in timeChapter.1 just in time
Chapter.1 just in time
 
Lean manufacturing presentation in pharmaceuticals industry
Lean manufacturing presentation in pharmaceuticals industryLean manufacturing presentation in pharmaceuticals industry
Lean manufacturing presentation in pharmaceuticals industry
 
Just In Time
Just In TimeJust In Time
Just In Time
 
Lean Manufacturing 2009 - By Jerry Helms
Lean Manufacturing 2009 - By Jerry HelmsLean Manufacturing 2009 - By Jerry Helms
Lean Manufacturing 2009 - By Jerry Helms
 
Lean manufacturing basics
Lean manufacturing basicsLean manufacturing basics
Lean manufacturing basics
 
Session 8
Session 8Session 8
Session 8
 
Session 8_OM
Session 8_OMSession 8_OM
Session 8_OM
 
Joe Moleski, Master Black Belt Lean Sigma Philosophy
Joe Moleski, Master Black Belt Lean Sigma PhilosophyJoe Moleski, Master Black Belt Lean Sigma Philosophy
Joe Moleski, Master Black Belt Lean Sigma Philosophy
 
Lean six sigma 3d
Lean six sigma 3dLean six sigma 3d
Lean six sigma 3d
 
Jit
JitJit
Jit
 

Recently uploaded

Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 

Recently uploaded (20)

Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 

Lean Systems for Maximum Value and Minimum Waste

  • 1. Lean Systems by Sashi.Prabhu
  • 2. Lean Systems The ability to make exactly what the customer wants as they order it.
  • 3.
  • 4. Time & Cost Relationship “ The longer an article is in the process of manufacture and the more it is moved about, the greater its ultimate cost.” --Henry Ford, 1926
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Total Order Lead Time Breakdown Value Added Ratio = 0 1 2 3 4 5 Elapsed Time Value Added Time Elapsed Time VA NVA
  • 10. Value Added Ratio Calculation Value Added Ratio = 5 VA NVA 1.1 5.3 = 20.7 % 0 1 2 3 4 5 Elapsed Time
  • 11.
  • 12.
  • 14.
  • 15.
  • 16. Quick Changeover Traditional setup and large batches Setup Run Quick change and small batches Externalized & Streamlined Tasks
  • 17. Why Reduce Set-ups? Remember: nothing is being produced! So, set-up time is Non Value Added Setups need to be eliminated, integrated, or simplified
  • 18. “Pull” Production versus “Push” Push: Schedule-based Pull: Consumption-based
  • 19.
  • 20.
  • 21. Overall Equipment Effectiveness DOWNTIME Breakdowns Changeovers Adjustments SPEED Stoppages Slow-downs DEFECTS Process Defects Reduced Yields
  • 22.
  • 23.
  • 24. Functional Layout Interrupted product flow Unbalanced operations Large batches Longer time to complete Complex material handling -
  • 25. Cellular Workplaces FG RM Includes Every Step Source Inspection Point of Use Storage Flexible Output Reduced Lot Size Simplified Handling Visual Goals & Metrics
  • 29. Value Stream Map Supplier I 20 Days Driver 2/Month Daily Customer Assemble C/T=15sec C/O=15-50min Uptime=100% Package C/T=190sec C/O=10min Uptime=90% Test C/T=45sec C/O=20-70min Uptime=80% I Total Cycle = 250 Seconds, and Total Lead = 29 Days Production Control Orders Shop Orders Ship Schedule Daily Priorities 60-Day Forecast Weekly Orders 4 Days I 5 Days 20 Days 4 Days 5 Days 15 Sec 45 Sec 190 Sec
  • 30. Future State Goals Reduce non-value added activities Reduce lead time Reduce inventory (especially WIP) Increase throughput (capacity) Reduced batches sizes Improve overall productivity
  • 31.
  • 32.

Editor's Notes

  1. Describe… This represents a 20% ratio, nationally, the ratio is commonly 5-10 % depending upon which industry we’re analyzing. Next, let’s look at the Wastes that are clogging the arteries of the factory operations
  2. Describe… This represents a 20% ratio, nationally, the ratio is commonly 5-10 % depending upon which industry we’re analyzing. Next, let’s look at the Wastes that are clogging the arteries of the factory operations
  3. Overproduce—Slow down the machine, off the shelf (got to stock the shelf) Waiting—downtime, balance, changeover, Transport—physical relocation eliminates most if not all.
  4. Now, Push is the alternative, but since we have that now, let’s discuss PULL PRODUCTION SYSTEMS
  5. Overproduce—Slow down the machine, off the shelf (got to stock the shelf) Waiting—downtime, balance, changeover, Transport—physical relocation eliminates most if not all.
  6. Slide - PUSH VS. PULL A concept or topic that is always mentioned as part of Lean or associated with Lean, is this idea of a Pull System. So now I’d like to talk a little about what we mean by a pull system versus a push system. I have a few slides to go over this push versus pull idea; however, I feel that this title page kind of explains it all. In push production you make large batches and push them through the place to the next process. In pull production, you pull a controlled amount of WIP through the process. The operations are physically linked. ASK: Can anyone here relate to this fellow here? (Reference the PUSH view)
  7. Looks pretty well organized until we introduce the product into the mix…. CLK Now it looks about right— What do you see now that wasn’t apparent at first????
  8. Okay, here's the equipment layout that a Cell Design Kaizen Team. A U-shaped flow cycles from the Raw Material (RM) through the 8 Work-stations to the Finished Goods (FG). The cell works in a counter-clockwise U-shaped flow The next step is to populate the cell with raw materials, components, drums of coolant & cleaners. All in labeled containers. Now, we need access aisles all around the cell for material replenishment, equipment servicing and quicker changeovers. Main aisles on both ends of the cell allow for material flow and personnel flow between cells. We've right-sized the material containers, so we eventually run out of raw materials and the green diamond represents a Kanban Post that will play a vital role in material replenishment Now, the blue bin runs empty--no more parts--what happens next???? This rack on the backside of the cell contains a second set of components in a second set of labeled and right-sized containers. So the operator simply walks the side-aisle to the rack, picks up a new container of parts and puts it in the work-station But how do we get it replenished again?? Put the empty labeled bin on the Kanban Post and the Material Clerk who circulates throughout the shop will take the empty back and refill it before the backup container can be emptied....
  9. Okay, here's the equipment layout that a Cell Design Kaizen Team. A U-shaped flow cycles from the Raw Material (RM) through the 8 Work-stations to the Finished Goods (FG). The cell works in a counter-clockwise U-shaped flow The next step is to populate the cell with raw materials, components, drums of coolant & cleaners. All in labeled containers. Now, we need access aisles all around the cell for material replenishment, equipment servicing and quicker changeovers. Main aisles on both ends of the cell allow for material flow and personnel flow between cells. We've right-sized the material containers, so we eventually run out of raw materials and the green diamond represents a Kanban Post that will play a vital role in material replenishment Now, the blue bin runs empty--no more parts--what happens next???? This rack on the backside of the cell contains a second set of components in a second set of labeled and right-sized containers. So the operator simply walks the side-aisle to the rack, picks up a new container of parts and puts it in the work-station But how do we get it replenished again?? Put the empty labeled bin on the Kanban Post and the Material Clerk who circulates throughout the shop will take the empty back and refill it before the backup container can be emptied....
  10. Okay, here's the equipment layout that a Cell Design Kaizen Team. A U-shaped flow cycles from the Raw Material (RM) through the 8 Work-stations to the Finished Goods (FG). The cell works in a counter-clockwise U-shaped flow The next step is to populate the cell with raw materials, components, drums of coolant & cleaners. All in labeled containers. Now, we need access aisles all around the cell for material replenishment, equipment servicing and quicker changeovers. Main aisles on both ends of the cell allow for material flow and personnel flow between cells. We've right-sized the material containers, so we eventually run out of raw materials and the green diamond represents a Kanban Post that will play a vital role in material replenishment Now, the blue bin runs empty--no more parts--what happens next???? This rack on the backside of the cell contains a second set of components in a second set of labeled and right-sized containers. So the operator simply walks the side-aisle to the rack, picks up a new container of parts and puts it in the work-station But how do we get it replenished again?? Put the empty labeled bin on the Kanban Post and the Material Clerk who circulates throughout the shop will take the empty back and refill it before the backup container can be emptied....
  11. Now, Push is the alternative, but since we have that now, let’s discuss PULL PRODUCTION SYSTEMS
  12. Current Demand = 200,000/yr = 833/day Available Time = 1 Shift = 433m = 25,800s Takt Time = Avail Time/#units/day = 25,800s/833 units = 31 sec