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CHAPTER 8 PROCESS MANAGEMENT: LEAN PRODUCTION & SIX SIGMA QUALITY ISSUES IN SUPPLY CHAIN MANAGEMENT Principles of Supply Chain Management:  A Balanced Approach Prepared by INLINE Solutions pvt. Ltd.,
Learning Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Chapter Eight Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lean Production & the Toyota Production System  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lean Production & the Toyota Production System (cont.)  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lean Production & Supply Chain Management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lean Production & Supply Chain Management (Cont.) Stages of  SCM Evolution  (Table 8.1) 1: Internal Focused 2: Functional Integration 3: Internal Integration 4: External Integration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Elements of Lean Production ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Elements of Lean Production (Cont.) ,[object Object],[object Object],[object Object],[object Object]
The Elements of Lean Production (Cont.) ,[object Object],The Seven Wastes (Table 8.3) Wastes Description Overproducing Unnecessary production to maintain high utilizations Waiting Excess idle machine & operator & inventory wait time Transportation Excess movement of materials & multiple handling Over-processing Non-value adding manufacturing & other activities Excess Inventory Storage of excess inventory Excess Movement Unnecessary movements of employees Scrap & Rework Scrap materials & rework due to poor quality
The Elements of Lean Production (Cont.) ,[object Object],The Five-Ss  (Table 8.4) Japanese S-Term English Translation English S-Term Used 1. Seiri Organization Sort 2. Seiton Tidiness Set in order 3. Seiso Purity Sweep 4. Seiketsu Cleanliness Standardize 5. Shitsuke Discipline Self-discipline
The Elements of Lean Production (Cont.) ,[object Object],[object Object],[object Object],[object Object]
The Elements of Lean Production (Cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Elements of Lean Production (Cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Elements of Lean Production (Cont.) ,[object Object],Relationship between Order Quantity, Lot Size, and Average Inventory (Figure 8.1) When order quantity/lot size Q = 100, avg. inventory = 50; when Q is reduced to 50, avg. inventory falls to 25. 100 50 avg. inventory  for Q=100 avg. inventory for Q=50 Time 25
JIT & Supply Chain Management (Cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
JIT & Supply Chain Management (Cont.) ,[object Object],Small Lot Size Increases Flexibility (Figure 8.2)   AAAAAAAA-----BBBBBBBB ------CCCCCCCC----- 3 product changes Long setup times AAA BBB CCC DDD AAA BBB CCC DDD AAA  9 product changes Time Large Lot Size Approach Small Lot Size Approach Short setup times
JIT & Supply Chain Management- Cont. ,[object Object],A  Kanban Pull System  (Figure 8.3)  Work cell A Mfg. Cell B Mfg. Cell A Movement of matl. into Work cell B creates a movement kanban  to Work cell A  Movement of finished component to assembly line creates a production kanban to Work cell B Movement of matl. to input area of Work cell B creates a production kanban to Work cell A Movement of matl. into Work cell A creates a movement kanban to the external supplier External supplies Input area Output area Final assembly line
JIT & Supply Chain Management (Cont.) ,[object Object],[object Object],Where:  D = the demand rate of the assembly line;  T = the time for a container to make an entire circuit through the system, from being filled, moving, being emptied, and returning to be filled again;  C = the container size, in number of parts; and S = the safety stock factor, from 0 to 100 percent. # of containers = DT(1 + S) C
JIT & Supply Chain Management (Cont.) ,[object Object],[object Object],[object Object],[object Object]
Lean Production & the Environment  ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Origins of Six Sigma Quality ,[object Object],[object Object],[object Object],[object Object]
The Origins of Six Sigma Quality Six Sigma Metrics (Table 8.5) Note: standard deviations include 1.5  sigma “drift”   # of std dev above the mean % of defect-free output DPMO 2 69.15 308,537 2.5 84.13 158,686 3 93.32 66,807 3.5 97.73 22,750 4 99.38 6,210 4.5 99.865 1,350 5 99.977 233 5.5 99.9968 32 6 99.99966 3.4
Six Sigma & Lean Production  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Six Sigma & Supply Chain Management ,[object Object],[object Object]
Elements of Six Sigma ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Deming’s Way
Elements of Six Sigma (Cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Elements of Six Sigma (Cont.) ,[object Object],[object Object],[object Object],[object Object]
Elements of Six Sigma (Cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Malcolm Baldrige National Quality Award
Elements of Six Sigma (Cont.) ,[object Object],[object Object],[object Object],[object Object]
Elements of Six Sigma (Cont.) ,[object Object],[object Object],Define Measure Analyze Improve Control
Elements of Six Sigma (Cont.) ,[object Object],Levels Description Yellow Belt Basic understanding of Six Sigma Methodology and tools in the DMAIC problem solving process. Team member on process improvement project. Green Belt A trained team member allowed to work on small, carefully defined Six Sigma projects, requiring less than a Black Belt’s full-time commitment.  Black Belt Thorough knowledge of Six Sigma philosophies and principles. Coaches successful project teams. Identifies projects and selects project team members. Master Black Belt A proven mastery of process variability reduction, waste reduction and growth principles and can effectively present training at all levels
Statistical Tools of Six Sigma ,[object Object],[object Object],[object Object],[object Object]
Statistical Tools of Six Sigma (Cont.) Process Map  for Customer Flow at a Restaurant (Figure 8.5)
Statistical Tools of Six Sigma (Cont.) Check Sheet  for a Restaurant (Fig. 8.6) Problem M Tu W Th F Sa Su Tot %Tot long wait ////// ///// //////// ////// ///////// ////////// //// 48 34.0 cold food // / / /// // 9 6.3 wrong food ///// // / // ///// /// / 19 13.5 bad server ////// /// ///// / ////// // / 24 17.0 bad table / // / /// / 8 5.7 room temp // /// ///// ///// 15 10.6 No parking // ///// /////// 14 9.9 other / // / 4 2.9 Totals 17 14 23 13 34 33 7 141 100
Statistical Tools of Six Sigma (Cont.) Pareto Chart  for Restaurant Problems (Fig. 8.7)
Statistical Tools of Six Sigma (Cont.) Cause-and-Effect Diagram  for the Long Wait Problem (Fig. 8.8)  Poor hiring practices Cooking delays LONG WAIT Washing machine breaks Credit card scanner breaks New automated cooking bays Run out of food Late deliveries Needs frequent maintenance Not enough tables Inadequate waiting area Too much overbooking Preference to VIPs Can’t find customers No system for food or drink pickup Understaffed shifts High turnover Untrained servers, cooks No supervision Methods Manpower Machinery Material
Statistical Tools of Six Sigma (Cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Statistical Tools of Six Sigma (Cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Statistical Tools of Six Sigma (Cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Statistical Tools of Six Sigma (Cont.) ,[object Object],=  = UCL = + A 2   LCL = - A 2   UCL R = D 4   LCL R = D 3
Statistical Tools of Six Sigma (Cont.) ,[object Object],chart for the Hayley Girl Soup Co. (Figure 8.9 )
Statistical Tools of Six Sigma (Cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],C pk = Smallest difference between UCL or LCL & center line 3 σ
Statistical Tools of Six Sigma (Cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Lean manufacturing & 6s

  • 1. CHAPTER 8 PROCESS MANAGEMENT: LEAN PRODUCTION & SIX SIGMA QUALITY ISSUES IN SUPPLY CHAIN MANAGEMENT Principles of Supply Chain Management: A Balanced Approach Prepared by INLINE Solutions pvt. Ltd.,
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  • 24. The Origins of Six Sigma Quality Six Sigma Metrics (Table 8.5) Note: standard deviations include 1.5 sigma “drift” # of std dev above the mean % of defect-free output DPMO 2 69.15 308,537 2.5 84.13 158,686 3 93.32 66,807 3.5 97.73 22,750 4 99.38 6,210 4.5 99.865 1,350 5 99.977 233 5.5 99.9968 32 6 99.99966 3.4
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  • 35. Statistical Tools of Six Sigma (Cont.) Process Map for Customer Flow at a Restaurant (Figure 8.5)
  • 36. Statistical Tools of Six Sigma (Cont.) Check Sheet for a Restaurant (Fig. 8.6) Problem M Tu W Th F Sa Su Tot %Tot long wait ////// ///// //////// ////// ///////// ////////// //// 48 34.0 cold food // / / /// // 9 6.3 wrong food ///// // / // ///// /// / 19 13.5 bad server ////// /// ///// / ////// // / 24 17.0 bad table / // / /// / 8 5.7 room temp // /// ///// ///// 15 10.6 No parking // ///// /////// 14 9.9 other / // / 4 2.9 Totals 17 14 23 13 34 33 7 141 100
  • 37. Statistical Tools of Six Sigma (Cont.) Pareto Chart for Restaurant Problems (Fig. 8.7)
  • 38. Statistical Tools of Six Sigma (Cont.) Cause-and-Effect Diagram for the Long Wait Problem (Fig. 8.8) Poor hiring practices Cooking delays LONG WAIT Washing machine breaks Credit card scanner breaks New automated cooking bays Run out of food Late deliveries Needs frequent maintenance Not enough tables Inadequate waiting area Too much overbooking Preference to VIPs Can’t find customers No system for food or drink pickup Understaffed shifts High turnover Untrained servers, cooks No supervision Methods Manpower Machinery Material
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