Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Six Sigma Compiled by: Alex J. Ruiz-Torres, Ph.D. From information developed by many. 1 Outline • • • • • • • Lean Sigma Basics of Six Sigma Principles of improvement DMAIC Design for Six Sigma Six Sigma people Six sigma and suppliers 2 Lean Sigma • Lean techniques eliminate much of the noise from a process – Using a variety of simple tools • Six Sigma offers a sequential problem-solving procedure: DMAIC – Statistical tools so that potential causes are not overlooked, and viable solutions to chronic problems can be discovered • Lean Sigma is the combination of both CI methodologies in order to maximize profitability 3 Lean Sigma LEAN SIX SIGMA Create flow and eliminate waste Improve process capability and eliminate variation Application Primarily manufacturing processes All business processes Approach Teaching principles and "cookbook style" implementation based on best practice Teaching a generic problem-solving approach relying on statistics Project Selection Driven by Value Stream Map Various approaches Length Of Projects 1 week to 3 months 2 to 6 months Mostly ad-hoc, no or little formal training Dedicated resources, broad-based training Learning by doing Learning by doing Goal Infrastructure Training 4 Lean Sigma • An integrated improvement strategy has to take into consideration the differences and use them effectively: – Lean projects are very tangible, visible, and can oftentimes be completed within a few days. – Six Sigma projects typically require a few months. • An integrated approach should emphasize Lean projects during the initial phase of the deployment to increase momentum. – Lean emphasizes broad principles with practical recommendations to achieve improvements, inadequate to solve complicated problems that require advanced analysis. – Six Sigma needs to be introduced in the first year to ensure that the improvement roadmap includes a generic problem-solving approach. 5 Basics of Six Sigma • • • • Focus on ROI Top management commitment and accountability Customer focus (VOC) Connected business metrics (financial and customer focused) – Visible across the organization – Linked across the organization • Project focus • Extensive use of tools and technology • The objective is to ensure high quality and reliability of products, services, and transactions • Applicable to any type of organization 6 Basics of Six Sigma • Term CTXs = Critical to X. CTQ = Critical to Quality. – Must be based on some measurable criteria. – Objective is to be as close as possible in every opportunity to the target of a CTX • The existence of variation in systems is a fundamental assumption of 6s • Target cannot be achieved every time for many reasons. • There is a distribution of performance, the traditional bell curve. • CTX have limits of performance: Upper Spec Limit and Lower Spec Limit. • 6s is 3.4 defects (not within specs) per million opportunities. 7 Basics of Six Sigma • System behavior dictated by: y = f(x) + e x = the inputs, the independent variable y = the output, the dependent variable f(x) = The transformation function e = The uncontrollable error 8 Six Sigma – principles of improvement • Changes in x will have an effect on y • Principle of Cause and Effect – Percentage of humidity in the plastic material will determine the break point in the part • x = % humidity • y = break point • The principle of determinism = change in x will result in a change in y. Without this, there is no control Inputs Output Process Inputs Output Process 9 Six Sigma – principles of improvement • Variation – Multiple causes – Cumulative – Common versus special causes • Common: Inherent to the system/process due to equipment limitations/ environmental conditions • Special: caused by something special (but could repeat itself). For example changes in voltage, changes in operator (training, attitude) – Short term versus long term effect (short term is smaller than long term) – Address special variation first: control for equipment malfunctions, train all personnel for consistent performance, … 10 Six Sigma – principles of improvement • Measures are the basis of improvement – Measurement provides benchmarks and understanding – Sometimes very hard to come with measures for perception type criteria. • But without it, hard to understand the effect of changing x’s in the y. • Specially designed surveys 11 Six Sigma – principles of improvement • A vital few variables determine the quality of a given outcome. • Pareto Principle (80-20) is well known, but often ignored by the most intelligent people – Perfectionists suffer from this. – Trying to fix everything … • The key is using a structured process to identify the critical x’s • By understanding how your x’s affect your y, changes can be implemented to improve your y 12 Six Sigma - DMAIC Define, Measure, Analyze, Improve, and Control (DMAIC) • Developed by General Electric as a means of focusing effort on quality using a methodological approach • Overall focus of the methodology is to understand and achieve what the customer wants • Problem Solving Process – Define the project goals and customer (internal and external) deliverables – Measure the process to determine current performance – Analyze and determine the root cause(s) of the defects – Improve the process by eliminating defects – Control future process performance 13 Six Sigma - DMAIC Practical Problem Phases of a DMAIC Project Six Sigma Problem Statistical Problem Statistical/ Process Solution Implementation and Control 14 Six Sigma – DMAIC Project Definition • Projects must – Have a financial impact or significant strategic value (e.g. solidify relationships with key customers) – Results significantly exceed effort and investment – Addresses a complex problem – Aims at an improvement change of at least 70% • Project must solve a business problem that hurts a key performance related to: – Costs, Cycle time – Customer satisfaction, Revenue Potential – Process Capability/ Capacity 15 Six Sigma – DMAIC Define • Use of case writing tools for project justification – As a company, our _____________ performance for the ____________ area is not meeting _______. Overall this is causing _______ problems., which are costing as much as $_____ per ________. Example – As a company, our on time delivery performance for the health product area is not meeting the goal of 95% on time delivery. Overall this is causing customer satisfaction problems, which are costing as much as $2Milion in lost orders and revenue per year. 16 Six Sigma – DMAIC Define 1.1 Determine what needs to be improved. a. b. c. d. What is the problem ( a high level effect); e.g. high inventory levels consuming space and assets. Where is the problem occurring; e.g. the Westland Warehouse Timeframe of the problem; e.g. Since Product Family ds was introduced in 2001. Customers or business are affected by this problem; Production planning, sales given higher costs. 1.2 Determine the outputs (CTQs = y’s) a. b. c. Characteristics or process outputs affected (the specific y’s); e.g. inventory levels. Identify the primary metric for each y; e.g. inventory days Identify tradeoff metrics to monitor for negative impact; e.g. orders filled. 17 Six Sigma – DMAIC Define 2. Determine associated processes and location a. List the major process steps and location (top level processes); e.g. PO generation, order replenishment, inventory reconciliation, production planning. b. Develop a top level flowchart 3. Determine the baseline performance of the y’s a. Estimate the magnitude of the problem using the primary metric; e.g. between 31.2 to 40.5 days of inventory with a mean of 37.4 days. 4. ID the cost and impact of the problem a. Identify the cost centers affected by problem b. Based on a baseline improvement level, what is the financial impact of the project. 18 Six Sigma – DMAIC Define • Goal of a project is create financial or strategic benefit – Reduce waste – Provide flexibility – Increase customer perceived value • Soft versus Hard Savings – Soft: increased customer satisfaction > this increases loyalty and customer orders. Estimates included but hard to trace – Hard: reduced inventory in warehouse = reduced assets and increased cash available. 19 Six Sigma – DMAIC Define 5. The problem Statement – – – – A description of the problem and the metrics Where its occurring and in what processes Timeframe and Magnitude Should not simplify it: audience will not know the problem and the processes. Inventory levels are too high. Inventory levels at the Westland warehouse are consuming space, taking up management time, and creating cash flow issues. Inventory levels are averaging 31.2 days with a high of 45 days. These levels exceed the 20 day target on 99% of the days since October 2003. We could save $400,000 if at the target level. 20 Six Sigma – DMAIC Define • The level of improvement – Based on current performance, entitled performance, and the team leader goals – Entitled performance: the best performance that a process as currently designed has demonstrated in operation. – Long term performance of a line: 90% on time delivery • Mar 4 – Mar 23, 98% on time performance. – 98% is the entitled performance – So what x’s caused the 98% performance level. – Breakthrough improvement: 70% change 21 Six Sigma – DMAIC Define 6. The Objective Statement – Based on the Problem Statement – Improve some metric from baseline in t amount of time with an impact towards a corporate goal or strategy. Reduce Inventory levels Reduce inventory levels from an average of 31.2 days to an average of 20 days with a maximum of 25 days. This will be completed by August 2006. This project will save $400,000 per year in interest, space, and management effort. These savings are in support of our corporate goal of improving asset management and ROI. 7. ID and recruit the team 8. Obtain approvals and launch 22 Six Sigma – DMAIC Measure • The Gaps: Goal to Actual – Sometimes difficult to develop measures (experience based - services) – Time consuming to get data • Maybe not a lot of data available at start but data collection and its accuracy must improve quickly – Analysis of the gap is based on statistical analysis – Statistics is the key to understand variability. • The scientific method to describe performance • Takes you from guessing and intuition to “hard facts” • Be careful, statistics can be manipulated and can mislead. 23 Six Sigma – DMAIC Measure Process/ Product Measurement • Identification of error opportunities (for the product) – Possible missing or wrong parts, information, delays in completing a task, … • Defects per Opportunity • Opportunities are the critical dimensions / characteristics of the product (unit) – Directly related to the complexity – Issue: overestimating the ops. with trivial elements. This will lead to over assessing the process capabilities • Six sigma lingo: Defects per million opportunities (DPMO) – DMPO = (# errors / (possible errors x units processed) ) x 1M – Six Sigma objective: 3.4 DPMO 24 Six Sigma – DMAIC Measure Process/ Product Measurement Examples – Processing of a home loan application: 44 possible errors for missing or wrong information, misclassification, … – Processing of a personal banking application: 11 possible … – 94 loans reviewed this month, 3 had errors, one had 12 errors, the other 2 had 8 errors each (28 total errors). Overall pass rate: 97%. Process worked at : 28 / (94 x 44) x 1M = 6,770 DPMO – 180 personal banking applications: 9 had errors, one had 3 the other had one each (total 10 errors). Overall pass rate: 95%. Process . Process worked at: 10 / (180 x 11) x 1M = 5,050 DPMO – Thus relative pass rate performance is not the same as DPMO performance 25 Six Sigma – DMAIC Measure - Process capability • Need to understand the current specifications – Specs: performance values of a process or product characteristic that are acceptable to the customer. • SL: Acceptable versus unacceptable • One Sided Spec: Only one transition point • Two sided Spec: Pair of transition points: USL, LSL: Upper and Lower Spec levels • Target: Desired value • Specifications should not be arbitrary: unless they have a real reason (separate the good from the bad) they are a stumbling block to progress • Too tight: spend more resources/ effort than necessary, too loose: customer will not be satisfied 26 Six Sigma – DMAIC • Capability Indexes – How well can your process meet the range – How well it can meet the target specification specification natural variation natural variation specification natural variation specification natural variation 27 Six Sigma – DMAIC Measure • Short Term Capability Index (Cp) Cp = (USL – LSL ) / 6sST – However, this implies only 99.7% is included – If Cp = 1 then VOC = VOP, if less, then process problems. • Adjusted Short Term Capability Index (Cpk) – – – – – Cp does not include the mean of the process CPU = (USL – xave ) / 3sST CPL = (xave – LSL ) / 3sST CPk = min. (CPU, CPL) If xave is centered about USL and LSL, then Cpk = Cp, else Cpk < C p. 28 Six Sigma – DMAIC • Capability indexes relate to short time performance (theory). • Sigma scores consider similar data elements but – Assume that the process mean will shift by 1.5 deviations. http://www.isixsigma.com/new-to-six-sigma/dmaic/15-sigma-process-shift/ 29 Six Sigma – DMAIC Measure • The sigma score – Basically, how many standard deviations can you fit within the specification levels – Z = | SL – xave | / s s xave SL 30 DMAIC - Measure A process with an upper specification of 6 days to complete, current average is 3 days and s = 0.9. 3 0.9 0.9 sigma score = |(6 – 3) | / 0.9 = 3.33 about 3.35% defective 33,624 DPMO 0.9 This assumes a 1.5 shift xave =3 SL = 6 31 DMAIC Measure A process with specification of 24 to 28 chips and currently averages 26.5chips with a s = 0.65. 1.5 2.5 0.65 LSL = 24 xave 0.65 0.65 = 26.5 sigma score = |(28 – 26.5) | / 0.65 = 2.3 about 21% defective 211,855 DPMO USL = 28 32 Six Sigma – DMAIC Measure • A Sigma scores changes if: – The standard deviation changes – The mean shifts – The specs change 33 DMAIC - Measure After some changes to the personnel, the current average is now 2 days (used to be 3), although the deviation is still 0.9. 4 0.9 xave =2 0.9 0.9 0.9 sigma score = |(6 – 2) | / 0.9 = 4.44 About 0.16% defective (from 3.35%) 1,641 DPMO SL = 6 34 DMAIC - Measure After some technology changes, the process currently averages 25.8 and has s = 0.4. 2.2 1.8 0.4 0.4 0.4 0.4 LSL = 24 xave = 25.8 sigma score = |(24 – 25.8) | / 0.4 = 4.5 about 0.13% defective (from 21%) USL = 28 1,349 DPMO. 35 Six Sigma – DMAIC Measure • Measurement systems need to have higher resolution than the specs. • Specs 0.001 to 0.004, then the measurement system must measure at this level 0.0001 or more (0.00001) • Measurement System must be Precise – Repeated measurements of the same thing should result in the same value, regardless of other conditions. • Measurement System Audits – Used to determine how the MS is working – Select several items, run them through the process several times. Measurement should be the same. – Create standards and have parallel elements measure them – Audits are very important in human measurement systems 36 Six Sigma – DMAIC Analysis (related to Define) SIPOC: Suppliers- Inputs-Process-Outputs-Customers – – – – – S: Sources of materials and information I:The materials and information P: Main steps to create the Output O: Product or Service C: Who wants/uses the product suppliers -Supplier 1 -Supplier 2 inputs process -Output 1 -Output 2 -Output 3 -Input 1 -Input 2 -Input 3 Step 1 outputs Step 2 Step 3 customers -Customer 1 -Customer 2 metrics -metric 1 -metric 2 Step 4 37 Six Sigma – DMAIC Analysis Cause and Effect Matrix • Use to relate two sets of information for example: a) inputs to process, b) process to outputs, c) outputs to customer requirements. Process Assy Cost Part Rel. Rework Transp. Cost Base Assy H L L -- Electronic Assy H H H -- Seal & Epoxy L L L -- Test and Verify L H L -- Packaging -- -- -- H 38 Six Sigma – DMAIC Analysis/Improve Failure Modes Effect Analysis (FMEA) • What can fail? What is the probability? Can we know the failure is about to occur? When do we know? What is the effect? • In a process or product the following must be identified. – – – – Possible failures Probability of the failure (codes for likelihood) Impact of the failure (codes for severity) Likelihood of detection [causes that lead to the failure] (codes for higher likelihood) – RISK PRIORITY NUMBER : Pr x Im x Det http://en.wikipedia.org/wiki/Failure_mode_and_effects_analysis 39 Six Sigma – DMAIC Analysis/Improve - FMEA • Prioritize high probability, high impact, highly detectable failures, then: – Reduce probability – Mitigate impact – Plans for quick reaction when causes detected • For failures, also quantify potential impacts ($ lost, customers lost, cost of rework) • Consider “Worst case scenarios” • For non-detectable but high impact, high risk – work on how to detect 40 Six Sigma – DMAIC Analysis – Multiple other tools – Design of Experiments – Discrete event simulation – Pareto – Cause and effect analysis 41 Six Sigma – DMAIC Improve • This phase deals with developing a solution to the problem ID in order to reduce variability and meet desired targets • Could include evaluation investments in technology, training or human resources • This involves brainstorming potential solutions, selection solutions to test and evaluating the results of the implemented solutions. Often a pilot implementation is conducted prior to a full-scale rollout of improvements. http://www.brighthub.com/office/project-management/ articles/25328.aspx#ixzz1SJD0JIfJ 42 Six Sigma – DMAIC Improve-Brainstorming ideas • Important to include the people who are involved in performing the process. • A variety of techniques are used to brainstorm potential solutions to counter the root cause(s) identified in Analyze. Encouraging participants to challenge rules and assumptions, ban excuses and think like small children can be very effective. • Ideas should not be eliminated prematurely. Even an outlandish idea that couldn't possibly be implemented as first suggested may lead to a related idea that is an ideal solution. 43 Six Sigma – DMAIC Improve – selection of solution • Good idea to involve the people who work on the process that is being improved, be included in the decisions regarding which potential improvements to implement. • Need to establish criteria for evaluating the proposed improvements in an objective manner. • Criteria usually include time line for implementation, financial cost, the extent to which root causes are likely to be countered and the overall ease of implementation. 44 Six Sigma – DMAIC Improve – selection of solution • Not all criteria are created equal, so the team may want to assign weights to each criterion prior to evaluating the proposed solutions against each one. • Tools to assist with the evaluation include a priority matrix and a Pugh matrix, both of which use basic calculations and ratings to compare the solutions against each other or against a standard. • Computer simulation can be beneficial in the evaluation process. 45 Six Sigma – DMAIC Control • The primary objective of the DMAIC Control phase is to ensure that the gains obtained during Improve are maintained long after the project has ended. • Focus is to standardize and document procedures, make sure all employees are trained and communicate the project’s results. • The project team needs to create a plan for ongoing monitoring of the process and for reacting to any problems that arise. http://www.brighthub.com/office/projectmanagement/articles/27134.aspx#ixzz1SJGhPqDW 46 Six Sigma – DMAIC Control • Review and update process maps. • Important process map developed in Improve is widely distributed and training offered about the new process. • Development of a user guide which spells out the steps of the process and provides rationale. • Establish a plan to monitor the new process and act when results are not up to spec, so that the project gains will be maintained. 47 Six Sigma – DMAIC Control • Monitoring plan specifies the metrics that will be tracked to summarize process performance, as well as specifying how and how often they will be tracked. Also be sure to clarify who is responsible for doing it • This will be directly related to the Critical To Quality (CTQ) measures determined during the Define phase • The monitoring plan also indicates what constitutes satisfactory performance and what should be considered a red flag indicating possible problems. • Control charts are used by the process owner can watch for process shifts or other signs that there may be a problem with process performance. 48 Design for Six Sigma • Applications of Six Sigma that focus on the design or redesign of products and services and their enabling processes so that from the beginning customer needs and expectations are fulfilled are known as Design for Six Sigma or DFSS. • The aim of DFSS is to create designs that are resource efficient, capable of exceptionally high yields, and are robust to process variations. This aim produces a recasting of DMAIC that can be characterized as: Define-Measure-Analyze-Design-Verify (DMADV) or as Invention-Innovation-Design-Optimize-Verify (I2DOV) From: DR. RICK EDGEMAN, PROFESSOR & CHAIR – SIX SIGMA BLACK BELT 49 Design for Six Sigma • DFSS is the change in the product design organization from a deterministic to a probabilistic culture. Our people were trained to incorporate statistical analysis of failure modes, both in products and processes. Then they began to incorporate design changes that modify and eliminate design features with a probability of failure within a predefined range of operating environments and conditions. The design organization changed from a “factor-ofsafety” mentality to one in which there was a quantitative assessment of design risk. • Four elements of design are most critical to the effort: – – – – Design for Producibility (design for manufacturing and assembly); Design for Reliability; Design for Performance (technical requirements); and Design for Maintainability. “Design for Six Sigma: 15 Lessons Learned”, Quality Progress, Vol. 35, No. 1, pp. 33-42, January 2002. 50 Six Sigma – Design for …. Define-Measure-Analyze-Design-Verify (DMADV) • Define customer requirements and goals for the process, • product or service. • Measure and match performance to customer requirements. • Analyze and assess the design for the process, product or service. • Design and implement the array of new processes required for the new process, product or service. • Verify results and maintain performance From: DR. RICK EDGEMAN, PROFESSOR & CHAIR – SIX SIGMA BLACK BELT 51 Six Sigma People Champions • Create the vision of Six Sigma for the company. • Define the path to implement Six Sigma across the organization. • Develop a comprehensive training plan for implementing the Breakthrough Strategy. • Carefully select high-impact projects. • Support development of “statistical thinking”. • Ask Black Belts many questions to ensure that they are properly focused. • Realize the gains by supporting Six Sigma projects through allocation of resources and removal of roadblocks. • Make sure that project opportunities are acted upon by the organization’s leadership and the finance department. • Recognize people for their efforts 52 Six Sigma People Master Black Belts • • • • • • • • • • Understand the big business picture. Partner with the Champions. Get certified as Master Black Belts. Develop and deliver training to various levels of the organization. Assist in the identification of projects. Coach and support Black Belts in project work. Participate in project reviews to offer technical expertise. Help train and certify Black Belts. Take on leadership of major programs. Facilitate sharing of best practices across the corporation. 53 Six Sigma People Black Belts • • • • • • • • • • • • • Act as Breakthrough Strategy experts and be Breakthrough Strategy enthusiasts. Stimulate Champion thinking. Identify the barriers. Lead and direct teams in project execution. Report progress to appropriate leadership levels. Solicit help from Champions when needed. Influence without direct authority. Determine the most effective tools to apply. Prepare a detailed project assessment during the Measurement phase. Get input from knowledgeable operators, first-line supervisors, and team leaders. Teach and coach Breakthrough Strategy methods and tools. Manage project risk. Ensure that the results are sustained. 54 Six Sigma People Green Belts • Function as Green Belts on a part-time basis, while performing their regular duties. • Participate on Black Belt project teams in the context of their existing responsibilities. • Learn the Six Sigma methodology as it applies to a particular project. • Continue to learn and practice the Six Sigma methods and tools after project completion. 55