SlideShare a Scribd company logo
1 of 41
Process Analysis II
[object Object],[object Object],[object Object],Operations  --  Prof. Juran Outline
Operations  --  Prof. Juran These are the major stages of  product and process life cycles IV. Continuous Flow III. Assembly Line II. Batch I. Job Shop Low Volume, One of a Kind Multiple Products, Low Volume Few Major Products, Higher Volume High Volume, High Standard- ization Commercial Printer French Restaurant Heavy Equipment Automobile Assembly Burger King Sugar Refinery Flexibility (High) Unit Cost (High) Flexibility (Low) Unit Cost (Low)
Process Flow Structures ,[object Object],[object Object],[object Object],[object Object],[object Object],Operations  --  Prof. Juran
Operations  --  Prof. Juran Kristin’s Cookies
Operations  --  Prof. Juran
Operations  --  Prof. Juran
Operations  --  Prof. Juran
Operations  --  Prof. Juran In general, a formula for the number of minutes to produce  n  one-dozen batches is given by this expression:
Operations  --  Prof. Juran
Operations  --  Prof. Juran
Operations  --  Prof. Juran
Operations  --  Prof. Juran
Operations  --  Prof. Juran
Operations  --  Prof. Juran 5. How many food processors and baking trays will you need? The food processor is only used in the mixing stage, and we ought to be able to see that the processor is idle for long periods of time, and that the real bottleneck is the oven. Buying another food processor won't improve the productivity of the system at all. The number of baking trays ought to equal the maximum number of trays you will be using at any one time. Three is probably enough.
Operations  --  Prof. Juran 6. Are there any changes you can make in your production plans that will allow you to make better cookies or more cookies in less time or at lower cost? For example, is there a bottleneck operation in your production process that you can expand cheaply? What is the effect of adding another oven? How much would you be willing to pay for an additional oven?
Operations  --  Prof. Juran Benihana: Strategy
Operations  --  Prof. Juran Benihana: Strategy
Operations  --  Prof. Juran ,[object Object],[object Object],[object Object],[object Object],Benihana: Strategy
Operations  --  Prof. Juran ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Benihana: Strategy
Operations  --  Prof. Juran Benihana: Strategy
Operations  --  Prof. Juran Benihana: Process Analysis
Operations  --  Prof. Juran Benihana: Process Analysis
Operations  --  Prof. Juran ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Benihana: Process Analysis
Operations  --  Prof. Juran Assume that the dining process takes 60 minutes, and that we want customers in the bar for 24 minutes.  Consider three scenarios: Bar - 8 seats; Dining area - 40 seats Bar - 16 seats; Dining Area - 80 seats Bar - 48 seats; Dining Area - 120 seats Benihana: Process Analysis
Operations  --  Prof. Juran Bar - 8 seats; Dining area - 40 seats It takes 60 minutes for one customer to eat dinner, and there are 40 seats in the dining area. Therefore 40 people eat every 60 minutes (throughput).  On the average a dinner cycle is completed every 60 minutes/40 people = 1.5 minutes per person (cycle time).  We know that dinners are processed in batches of 8, so on the average a table of 8 finishes every 12 minutes. Benihana: Process Analysis
Operations  --  Prof. Juran Bar - 8 seats; Dining area - 40 seats This means that the 8-seat bar must empty every 12 minutes.  The "ideal" time for someone to remain in the bar is about double that time (because this will be just after the second drink has reached the table).  Therefore, it would appear that the ratio of 0.2 (8 bar seats to 40 dining seats) is too small. Benihana: Process Analysis
Operations  --  Prof. Juran Bar - 16 seats; Dining Area - 80 seats It takes 60 minutes for one customer to eat dinner, and there are 80 seats in the dining area. Therefore 80 people eat every 60 minutes (throughput).  On the average a dinner cycle is completed every 60 minutes/80 people = 0.75 minutes per person (cycle time).  We know that dinners are processed in batches of 8, so on the average a table of 8 finishes every 6 minutes. Benihana: Process Analysis
Operations  --  Prof. Juran Bar - 16 seats; Dining Area - 80 seats This means that the 16-seat bar must empty every 12 minutes.  Therefore, it would appear that the ratio of 0.2 (16 bar seats to 80 dining seats) is too small. In fact, all this does is double the restaurant’s capacity, and the bar time remains at 12 minutes.  The only benefit is that 16 seats might allow the host or hostess to do a better job of assembling groups of eight. Benihana: Process Analysis
Operations  --  Prof. Juran Bar - 48 seats; Dining Area - 120 seats It takes 60 minutes for one customer to eat dinner, and there are 120 seats in the dining area. Therefore 120 people eat every 60 minutes (throughput).  On the average a dinner cycle is completed every 60 minutes/120 people = 0.5 minutes per person (cycle time).  We know that dinners are processed in batches of 8, so on the average a table of 8 finishes every 4 minutes. Benihana: Process Analysis
Operations  --  Prof. Juran Bar - 48 seats; Dining Area - 120 seats To send 8 people into the dining area every 4 minutes means that the 48-seat bar must empty every 24 minutes.  Perfect!  Given our assumptions regarding the cycle times of the bar and the dining area, it would appear that a ratio of bar seats to grill seats of 0.4 is about right. (In our case 120:48, but the ratio is more important than the specific numbers.) Benihana: Process Analysis
Operations  --  Prof. Juran Benihana: Process Analysis
Historical Development of OM ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Operations  --  Prof. Juran
Scientific Management ,[object Object],[object Object],[object Object],[object Object],Operations  --  Prof. Juran
Taylor’s Industrial Environment ,[object Object],[object Object],[object Object],[object Object],Operations  --  Prof. Juran
Scientific Management ,[object Object],[object Object],[object Object],[object Object],Operations  --  Prof. Juran
Taylor’s 4 Principles ,[object Object],[object Object],[object Object],[object Object],Operations  --  Prof. Juran 2-6
Resistance to Taylor ,[object Object],[object Object],[object Object],[object Object],Operations  --  Prof. Juran
Operations  --  Prof. Juran Frank & Lillian Gilbreth Time and Motion Studies Film Therbligs Cheaper by the Dozen Henry L. Gantt Engineer; worked with Taylor Gantt Chart
The Gilbreths ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Operations  --  Prof. Juran
[object Object],[object Object],[object Object],Operations  --  Prof. Juran Summary

More Related Content

What's hot

The Case Analysis: Benihana of Tokyo
The Case Analysis: Benihana of TokyoThe Case Analysis: Benihana of Tokyo
The Case Analysis: Benihana of TokyoLuqman Praditio
 
Lean and Process Improvement Implementation at Subway Restaurant
Lean and Process Improvement Implementation at Subway RestaurantLean and Process Improvement Implementation at Subway Restaurant
Lean and Process Improvement Implementation at Subway RestaurantSIDHARTH JAYANTH KINI , CLSSGB
 
Shouldice - A great success in service delivery
Shouldice - A great success in service deliveryShouldice - A great success in service delivery
Shouldice - A great success in service delivery10021980
 
Bayonne packaging Case Study Analysis
Bayonne packaging Case Study AnalysisBayonne packaging Case Study Analysis
Bayonne packaging Case Study AnalysisPrashanth Sridhar
 
Kristen cookie case
Kristen cookie caseKristen cookie case
Kristen cookie casejldolan1
 
Chipotle Presentation
Chipotle PresentationChipotle Presentation
Chipotle PresentationCole Monroe
 
Shouldice hospital final.ppt original
Shouldice hospital final.ppt originalShouldice hospital final.ppt original
Shouldice hospital final.ppt original96540
 
Jose’s authentic mexican restaurant
Jose’s authentic mexican restaurantJose’s authentic mexican restaurant
Jose’s authentic mexican restaurantDaipayan Das
 
National cranberry case study
National cranberry case studyNational cranberry case study
National cranberry case studyRanjeet Singh
 
Donner case Operations Management
Donner case Operations ManagementDonner case Operations Management
Donner case Operations ManagementHarish B
 
Barilla Spa: A case on Supply Chain Integration
Barilla Spa: A case on Supply Chain IntegrationBarilla Spa: A case on Supply Chain Integration
Barilla Spa: A case on Supply Chain IntegrationHimadri Singha
 
Barilla spa case analysis
Barilla spa case analysisBarilla spa case analysis
Barilla spa case analysisSoumendra Dalai
 
Kristin’s Cookie Company Production process and analysis case study
Kristin’s Cookie Company Production process and analysis case studyKristin’s Cookie Company Production process and analysis case study
Kristin’s Cookie Company Production process and analysis case studyArfan Afzal
 

What's hot (20)

The Case Analysis: Benihana of Tokyo
The Case Analysis: Benihana of TokyoThe Case Analysis: Benihana of Tokyo
The Case Analysis: Benihana of Tokyo
 
Benihana case study
Benihana case studyBenihana case study
Benihana case study
 
Benihana of tokyo
Benihana of tokyoBenihana of tokyo
Benihana of tokyo
 
Benihana Simulation
Benihana SimulationBenihana Simulation
Benihana Simulation
 
Subway operations ppt
Subway operations pptSubway operations ppt
Subway operations ppt
 
Lean and Process Improvement Implementation at Subway Restaurant
Lean and Process Improvement Implementation at Subway RestaurantLean and Process Improvement Implementation at Subway Restaurant
Lean and Process Improvement Implementation at Subway Restaurant
 
Shouldice - A great success in service delivery
Shouldice - A great success in service deliveryShouldice - A great success in service delivery
Shouldice - A great success in service delivery
 
Atlantic computers
Atlantic computersAtlantic computers
Atlantic computers
 
Bayonne packaging Case Study Analysis
Bayonne packaging Case Study AnalysisBayonne packaging Case Study Analysis
Bayonne packaging Case Study Analysis
 
Kristen cookie case
Kristen cookie caseKristen cookie case
Kristen cookie case
 
Chipotle Presentation
Chipotle PresentationChipotle Presentation
Chipotle Presentation
 
Shouldice hospital final.ppt original
Shouldice hospital final.ppt originalShouldice hospital final.ppt original
Shouldice hospital final.ppt original
 
Jose’s authentic mexican restaurant
Jose’s authentic mexican restaurantJose’s authentic mexican restaurant
Jose’s authentic mexican restaurant
 
SUBWAY
SUBWAYSUBWAY
SUBWAY
 
National cranberry case study
National cranberry case studyNational cranberry case study
National cranberry case study
 
Donner case Operations Management
Donner case Operations ManagementDonner case Operations Management
Donner case Operations Management
 
Barilla Spa: A case on Supply Chain Integration
Barilla Spa: A case on Supply Chain IntegrationBarilla Spa: A case on Supply Chain Integration
Barilla Spa: A case on Supply Chain Integration
 
Case study 2 mm
Case study 2 mmCase study 2 mm
Case study 2 mm
 
Barilla spa case analysis
Barilla spa case analysisBarilla spa case analysis
Barilla spa case analysis
 
Kristin’s Cookie Company Production process and analysis case study
Kristin’s Cookie Company Production process and analysis case studyKristin’s Cookie Company Production process and analysis case study
Kristin’s Cookie Company Production process and analysis case study
 

Viewers also liked

Demand Variability: The Bullwhip Effect
Demand Variability: The Bullwhip EffectDemand Variability: The Bullwhip Effect
Demand Variability: The Bullwhip EffectJoe Hage
 
Trace Lessons Learned H4Dip Stanford 2016
Trace Lessons Learned H4Dip Stanford 2016 Trace Lessons Learned H4Dip Stanford 2016
Trace Lessons Learned H4Dip Stanford 2016 Stanford University
 
Aggregate db Lessons Learned H4Dip Stanford 2016
Aggregate db Lessons Learned H4Dip Stanford 2016Aggregate db Lessons Learned H4Dip Stanford 2016
Aggregate db Lessons Learned H4Dip Stanford 2016Stanford University
 
Peacekeeping Lessons Learned H4Dip Stanford 2016
Peacekeeping Lessons Learned H4Dip Stanford 2016Peacekeeping Lessons Learned H4Dip Stanford 2016
Peacekeeping Lessons Learned H4Dip Stanford 2016Stanford University
 
Space Evaders Lessons Learned H4Dip Stanford 2016
Space Evaders Lessons Learned H4Dip Stanford 2016Space Evaders Lessons Learned H4Dip Stanford 2016
Space Evaders Lessons Learned H4Dip Stanford 2016Stanford University
 
Exodus Lessons Learned H4Dip Stanford 2016
Exodus Lessons Learned H4Dip Stanford 2016Exodus Lessons Learned H4Dip Stanford 2016
Exodus Lessons Learned H4Dip Stanford 2016Stanford University
 
Hacking CT Lessons Learned H4Dip Stanford 2016
Hacking CT Lessons Learned H4Dip Stanford 2016Hacking CT Lessons Learned H4Dip Stanford 2016
Hacking CT Lessons Learned H4Dip Stanford 2016Stanford University
 
Operation management
Operation managementOperation management
Operation managementShanta Mishra
 
Kristen's cookie company
Kristen's cookie companyKristen's cookie company
Kristen's cookie companyRahul Biradar
 
Introduction of-rooms-division-front-office-and-housekeeping-department ppt
Introduction of-rooms-division-front-office-and-housekeeping-department pptIntroduction of-rooms-division-front-office-and-housekeeping-department ppt
Introduction of-rooms-division-front-office-and-housekeeping-department pptBrahmas Pandey
 
Rooms division department
Rooms division departmentRooms division department
Rooms division departmentrheais
 
Fatal journeys (Team 621) Lessons Learned H4Dip Stanford 2016
Fatal journeys (Team 621) Lessons Learned H4Dip Stanford 2016Fatal journeys (Team 621) Lessons Learned H4Dip Stanford 2016
Fatal journeys (Team 621) Lessons Learned H4Dip Stanford 2016Stanford University
 

Viewers also liked (14)

Demand Variability: The Bullwhip Effect
Demand Variability: The Bullwhip EffectDemand Variability: The Bullwhip Effect
Demand Variability: The Bullwhip Effect
 
Advertising budget
Advertising budgetAdvertising budget
Advertising budget
 
Trace Lessons Learned H4Dip Stanford 2016
Trace Lessons Learned H4Dip Stanford 2016 Trace Lessons Learned H4Dip Stanford 2016
Trace Lessons Learned H4Dip Stanford 2016
 
Aggregate db Lessons Learned H4Dip Stanford 2016
Aggregate db Lessons Learned H4Dip Stanford 2016Aggregate db Lessons Learned H4Dip Stanford 2016
Aggregate db Lessons Learned H4Dip Stanford 2016
 
Peacekeeping Lessons Learned H4Dip Stanford 2016
Peacekeeping Lessons Learned H4Dip Stanford 2016Peacekeeping Lessons Learned H4Dip Stanford 2016
Peacekeeping Lessons Learned H4Dip Stanford 2016
 
Space Evaders Lessons Learned H4Dip Stanford 2016
Space Evaders Lessons Learned H4Dip Stanford 2016Space Evaders Lessons Learned H4Dip Stanford 2016
Space Evaders Lessons Learned H4Dip Stanford 2016
 
Exodus Lessons Learned H4Dip Stanford 2016
Exodus Lessons Learned H4Dip Stanford 2016Exodus Lessons Learned H4Dip Stanford 2016
Exodus Lessons Learned H4Dip Stanford 2016
 
Hacking CT Lessons Learned H4Dip Stanford 2016
Hacking CT Lessons Learned H4Dip Stanford 2016Hacking CT Lessons Learned H4Dip Stanford 2016
Hacking CT Lessons Learned H4Dip Stanford 2016
 
Operation management
Operation managementOperation management
Operation management
 
Food & beverage sop's
Food & beverage sop'sFood & beverage sop's
Food & beverage sop's
 
Kristen's cookie company
Kristen's cookie companyKristen's cookie company
Kristen's cookie company
 
Introduction of-rooms-division-front-office-and-housekeeping-department ppt
Introduction of-rooms-division-front-office-and-housekeeping-department pptIntroduction of-rooms-division-front-office-and-housekeeping-department ppt
Introduction of-rooms-division-front-office-and-housekeeping-department ppt
 
Rooms division department
Rooms division departmentRooms division department
Rooms division department
 
Fatal journeys (Team 621) Lessons Learned H4Dip Stanford 2016
Fatal journeys (Team 621) Lessons Learned H4Dip Stanford 2016Fatal journeys (Team 621) Lessons Learned H4Dip Stanford 2016
Fatal journeys (Team 621) Lessons Learned H4Dip Stanford 2016
 

Similar to C:\Documents And Settings\Ruchi 11\Desktop\Benihana

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
 
Essential Lean Manufacturing for Management Consultants
Essential Lean Manufacturing for Management ConsultantsEssential Lean Manufacturing for Management Consultants
Essential Lean Manufacturing for Management ConsultantsAsen Gyczew
 
Lean manufacturing for Management Consultants and Business Analysts
Lean manufacturing for Management Consultants and Business AnalystsLean manufacturing for Management Consultants and Business Analysts
Lean manufacturing for Management Consultants and Business AnalystsAsen Gyczew
 
Production for Management Consultants and Business Analysts
Production for Management Consultants and Business AnalystsProduction for Management Consultants and Business Analysts
Production for Management Consultants and Business AnalystsAsen Gyczew
 
Mba 505 business_processes_operations_productivity_strategy_tutorial1s
Mba 505 business_processes_operations_productivity_strategy_tutorial1sMba 505 business_processes_operations_productivity_strategy_tutorial1s
Mba 505 business_processes_operations_productivity_strategy_tutorial1sChainon
 
TOYOTA PRODUCTION SYSTEM (TPS)
TOYOTA PRODUCTION SYSTEM (TPS)TOYOTA PRODUCTION SYSTEM (TPS)
TOYOTA PRODUCTION SYSTEM (TPS)Prasanna3804
 
Industrial Management m.tech SE 2.12.22.pptx
Industrial Management m.tech SE 2.12.22.pptxIndustrial Management m.tech SE 2.12.22.pptx
Industrial Management m.tech SE 2.12.22.pptxaryyaka99
 
Process Engineering. ppt slides presentation
Process Engineering. ppt slides presentationProcess Engineering. ppt slides presentation
Process Engineering. ppt slides presentationRDTCPOLYTECHNICMECHD
 
What About Dryers
What About DryersWhat About Dryers
What About Dryersdave919
 
Sample Report on Food and Beverage Operations Management
Sample Report on Food and Beverage Operations Management Sample Report on Food and Beverage Operations Management
Sample Report on Food and Beverage Operations Management Instant Essay Writing
 
Liquidity Management for Management Consultants & Managers
Liquidity Management for Management Consultants & ManagersLiquidity Management for Management Consultants & Managers
Liquidity Management for Management Consultants & ManagersAsen Gyczew
 
Delivering Results in Healthcare by Marc Baker, Ian Taylor and Dr Paul Jarvis
Delivering Results in Healthcare by Marc Baker, Ian Taylor and Dr Paul JarvisDelivering Results in Healthcare by Marc Baker, Ian Taylor and Dr Paul Jarvis
Delivering Results in Healthcare by Marc Baker, Ian Taylor and Dr Paul JarvisLean Enterprise Academy
 
Production and Operations Management
Production and Operations ManagementProduction and Operations Management
Production and Operations ManagementNishant Agrawal
 
Lean_Manufacturing___Just-in-Time.ppt
Lean_Manufacturing___Just-in-Time.pptLean_Manufacturing___Just-in-Time.ppt
Lean_Manufacturing___Just-in-Time.pptrahul368457
 
13.jajajajajajajajjajajajqjajqjajqjajjaajppt
13.jajajajajajajajjajajajqjajqjajqjajjaajppt13.jajajajajajajajjajajajqjajqjajqjajjaajppt
13.jajajajajajajajjajajajqjajqjajqjajjaajpptdoremonlovers365
 
Lean and Flexible Manufacturing System
Lean and Flexible Manufacturing SystemLean and Flexible Manufacturing System
Lean and Flexible Manufacturing SystemTaruchit Goyal
 
Lecture 3 inventory_build_up_january_2020
Lecture 3 inventory_build_up_january_2020Lecture 3 inventory_build_up_january_2020
Lecture 3 inventory_build_up_january_2020blinking1
 
ANG_AFSO21_Awareness_Training_(DULUTH)
ANG_AFSO21_Awareness_Training_(DULUTH)ANG_AFSO21_Awareness_Training_(DULUTH)
ANG_AFSO21_Awareness_Training_(DULUTH)Leanleaders.org
 
Introduction to Production and Operation Management
Introduction to Production and Operation ManagementIntroduction to Production and Operation Management
Introduction to Production and Operation ManagementDr.Krisada [Hua] RMUTT
 

Similar to C:\Documents And Settings\Ruchi 11\Desktop\Benihana (20)

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
 
Essential Lean Manufacturing for Management Consultants
Essential Lean Manufacturing for Management ConsultantsEssential Lean Manufacturing for Management Consultants
Essential Lean Manufacturing for Management Consultants
 
Lean manufacturing for Management Consultants and Business Analysts
Lean manufacturing for Management Consultants and Business AnalystsLean manufacturing for Management Consultants and Business Analysts
Lean manufacturing for Management Consultants and Business Analysts
 
Production for Management Consultants and Business Analysts
Production for Management Consultants and Business AnalystsProduction for Management Consultants and Business Analysts
Production for Management Consultants and Business Analysts
 
Mba 505 business_processes_operations_productivity_strategy_tutorial1s
Mba 505 business_processes_operations_productivity_strategy_tutorial1sMba 505 business_processes_operations_productivity_strategy_tutorial1s
Mba 505 business_processes_operations_productivity_strategy_tutorial1s
 
TOYOTA PRODUCTION SYSTEM (TPS)
TOYOTA PRODUCTION SYSTEM (TPS)TOYOTA PRODUCTION SYSTEM (TPS)
TOYOTA PRODUCTION SYSTEM (TPS)
 
Industrial Management m.tech SE 2.12.22.pptx
Industrial Management m.tech SE 2.12.22.pptxIndustrial Management m.tech SE 2.12.22.pptx
Industrial Management m.tech SE 2.12.22.pptx
 
Process Engineering. ppt slides presentation
Process Engineering. ppt slides presentationProcess Engineering. ppt slides presentation
Process Engineering. ppt slides presentation
 
What About Dryers
What About DryersWhat About Dryers
What About Dryers
 
Sample Report on Food and Beverage Operations Management
Sample Report on Food and Beverage Operations Management Sample Report on Food and Beverage Operations Management
Sample Report on Food and Beverage Operations Management
 
Liquidity Management for Management Consultants & Managers
Liquidity Management for Management Consultants & ManagersLiquidity Management for Management Consultants & Managers
Liquidity Management for Management Consultants & Managers
 
Delivering Results in Healthcare by Marc Baker, Ian Taylor and Dr Paul Jarvis
Delivering Results in Healthcare by Marc Baker, Ian Taylor and Dr Paul JarvisDelivering Results in Healthcare by Marc Baker, Ian Taylor and Dr Paul Jarvis
Delivering Results in Healthcare by Marc Baker, Ian Taylor and Dr Paul Jarvis
 
Production and Operations Management
Production and Operations ManagementProduction and Operations Management
Production and Operations Management
 
Lean_Manufacturing___Just-in-Time.ppt
Lean_Manufacturing___Just-in-Time.pptLean_Manufacturing___Just-in-Time.ppt
Lean_Manufacturing___Just-in-Time.ppt
 
13.jajajajajajajajjajajajqjajqjajqjajjaajppt
13.jajajajajajajajjajajajqjajqjajqjajjaajppt13.jajajajajajajajjajajajqjajqjajqjajjaajppt
13.jajajajajajajajjajajajqjajqjajqjajjaajppt
 
Lean and Flexible Manufacturing System
Lean and Flexible Manufacturing SystemLean and Flexible Manufacturing System
Lean and Flexible Manufacturing System
 
Lecture 3 inventory_build_up_january_2020
Lecture 3 inventory_build_up_january_2020Lecture 3 inventory_build_up_january_2020
Lecture 3 inventory_build_up_january_2020
 
ANG_AFSO21_Awareness_Training_(DULUTH)
ANG_AFSO21_Awareness_Training_(DULUTH)ANG_AFSO21_Awareness_Training_(DULUTH)
ANG_AFSO21_Awareness_Training_(DULUTH)
 
FINAL PROJECT
FINAL PROJECTFINAL PROJECT
FINAL PROJECT
 
Introduction to Production and Operation Management
Introduction to Production and Operation ManagementIntroduction to Production and Operation Management
Introduction to Production and Operation Management
 

More from ruchi070186

Rbi and impossible_trinity
Rbi and impossible_trinityRbi and impossible_trinity
Rbi and impossible_trinityruchi070186
 
Human capital perspective
Human capital perspectiveHuman capital perspective
Human capital perspectiveruchi070186
 
Crisis Management Mattel Inc
Crisis Management Mattel IncCrisis Management Mattel Inc
Crisis Management Mattel Incruchi070186
 
Rural Urban Migration
Rural Urban MigrationRural Urban Migration
Rural Urban Migrationruchi070186
 
Google And Future Of It
Google And Future Of ItGoogle And Future Of It
Google And Future Of Itruchi070186
 

More from ruchi070186 (9)

Rbi and impossible_trinity
Rbi and impossible_trinityRbi and impossible_trinity
Rbi and impossible_trinity
 
Human capital perspective
Human capital perspectiveHuman capital perspective
Human capital perspective
 
Stocks buyback
Stocks buybackStocks buyback
Stocks buyback
 
Stock buyback
Stock buybackStock buyback
Stock buyback
 
Idfc
IdfcIdfc
Idfc
 
Crisis Management Mattel Inc
Crisis Management Mattel IncCrisis Management Mattel Inc
Crisis Management Mattel Inc
 
Rural Urban Migration
Rural Urban MigrationRural Urban Migration
Rural Urban Migration
 
Google And Future Of It
Google And Future Of ItGoogle And Future Of It
Google And Future Of It
 
Chikkahalli
ChikkahalliChikkahalli
Chikkahalli
 

C:\Documents And Settings\Ruchi 11\Desktop\Benihana

  • 2.
  • 3. Operations -- Prof. Juran These are the major stages of product and process life cycles IV. Continuous Flow III. Assembly Line II. Batch I. Job Shop Low Volume, One of a Kind Multiple Products, Low Volume Few Major Products, Higher Volume High Volume, High Standard- ization Commercial Printer French Restaurant Heavy Equipment Automobile Assembly Burger King Sugar Refinery Flexibility (High) Unit Cost (High) Flexibility (Low) Unit Cost (Low)
  • 4.
  • 5. Operations -- Prof. Juran Kristin’s Cookies
  • 6. Operations -- Prof. Juran
  • 7. Operations -- Prof. Juran
  • 8. Operations -- Prof. Juran
  • 9. Operations -- Prof. Juran In general, a formula for the number of minutes to produce n one-dozen batches is given by this expression:
  • 10. Operations -- Prof. Juran
  • 11. Operations -- Prof. Juran
  • 12. Operations -- Prof. Juran
  • 13. Operations -- Prof. Juran
  • 14. Operations -- Prof. Juran
  • 15. Operations -- Prof. Juran 5. How many food processors and baking trays will you need? The food processor is only used in the mixing stage, and we ought to be able to see that the processor is idle for long periods of time, and that the real bottleneck is the oven. Buying another food processor won't improve the productivity of the system at all. The number of baking trays ought to equal the maximum number of trays you will be using at any one time. Three is probably enough.
  • 16. Operations -- Prof. Juran 6. Are there any changes you can make in your production plans that will allow you to make better cookies or more cookies in less time or at lower cost? For example, is there a bottleneck operation in your production process that you can expand cheaply? What is the effect of adding another oven? How much would you be willing to pay for an additional oven?
  • 17. Operations -- Prof. Juran Benihana: Strategy
  • 18. Operations -- Prof. Juran Benihana: Strategy
  • 19.
  • 20.
  • 21. Operations -- Prof. Juran Benihana: Strategy
  • 22. Operations -- Prof. Juran Benihana: Process Analysis
  • 23. Operations -- Prof. Juran Benihana: Process Analysis
  • 24.
  • 25. Operations -- Prof. Juran Assume that the dining process takes 60 minutes, and that we want customers in the bar for 24 minutes. Consider three scenarios: Bar - 8 seats; Dining area - 40 seats Bar - 16 seats; Dining Area - 80 seats Bar - 48 seats; Dining Area - 120 seats Benihana: Process Analysis
  • 26. Operations -- Prof. Juran Bar - 8 seats; Dining area - 40 seats It takes 60 minutes for one customer to eat dinner, and there are 40 seats in the dining area. Therefore 40 people eat every 60 minutes (throughput). On the average a dinner cycle is completed every 60 minutes/40 people = 1.5 minutes per person (cycle time). We know that dinners are processed in batches of 8, so on the average a table of 8 finishes every 12 minutes. Benihana: Process Analysis
  • 27. Operations -- Prof. Juran Bar - 8 seats; Dining area - 40 seats This means that the 8-seat bar must empty every 12 minutes. The "ideal" time for someone to remain in the bar is about double that time (because this will be just after the second drink has reached the table). Therefore, it would appear that the ratio of 0.2 (8 bar seats to 40 dining seats) is too small. Benihana: Process Analysis
  • 28. Operations -- Prof. Juran Bar - 16 seats; Dining Area - 80 seats It takes 60 minutes for one customer to eat dinner, and there are 80 seats in the dining area. Therefore 80 people eat every 60 minutes (throughput). On the average a dinner cycle is completed every 60 minutes/80 people = 0.75 minutes per person (cycle time). We know that dinners are processed in batches of 8, so on the average a table of 8 finishes every 6 minutes. Benihana: Process Analysis
  • 29. Operations -- Prof. Juran Bar - 16 seats; Dining Area - 80 seats This means that the 16-seat bar must empty every 12 minutes. Therefore, it would appear that the ratio of 0.2 (16 bar seats to 80 dining seats) is too small. In fact, all this does is double the restaurant’s capacity, and the bar time remains at 12 minutes. The only benefit is that 16 seats might allow the host or hostess to do a better job of assembling groups of eight. Benihana: Process Analysis
  • 30. Operations -- Prof. Juran Bar - 48 seats; Dining Area - 120 seats It takes 60 minutes for one customer to eat dinner, and there are 120 seats in the dining area. Therefore 120 people eat every 60 minutes (throughput). On the average a dinner cycle is completed every 60 minutes/120 people = 0.5 minutes per person (cycle time). We know that dinners are processed in batches of 8, so on the average a table of 8 finishes every 4 minutes. Benihana: Process Analysis
  • 31. Operations -- Prof. Juran Bar - 48 seats; Dining Area - 120 seats To send 8 people into the dining area every 4 minutes means that the 48-seat bar must empty every 24 minutes. Perfect! Given our assumptions regarding the cycle times of the bar and the dining area, it would appear that a ratio of bar seats to grill seats of 0.4 is about right. (In our case 120:48, but the ratio is more important than the specific numbers.) Benihana: Process Analysis
  • 32. Operations -- Prof. Juran Benihana: Process Analysis
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39. Operations -- Prof. Juran Frank & Lillian Gilbreth Time and Motion Studies Film Therbligs Cheaper by the Dozen Henry L. Gantt Engineer; worked with Taylor Gantt Chart
  • 40.
  • 41.

Editor's Notes

  1. 2
  2. 13
  3. 12
  4. 2
  5. 2
  6. 2
  7. 2
  8. 14
  9.  Defined by Frederick Taylor, during the late 1800’s.  Many students seem to feel that the drive for higher efficiency is a recent concept in business. Not true!  Taylor sought efficiency gains over a century ago. He studied the relationships between people and tasks and then redesigned the task for higher efficiency.  For example, Taylor would try to reduce the time a worker spent on each task by optimizing the way the task was done. Perhaps he would change the position of the tools used or the way the parts were arranged during assembly.
  10. 6
  11.  The Gilbreths made many improvements to time and motion studies that were implied by Taylor.  Exactly what are Time and motion studies? › Break down each action into components. › Find better ways to perform it. › Reorganize each action to be more efficient. › Example: Ask a student to take out a piece of paper from a notebook, enter four numbers in columns, and then replace the paper. Have another time the student during each element.  The Gilbreths were also early leaders in the study of fatigue problems, lighting, heating and other worker issues.
  12. 2