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Six Sigma Overview

KEY SIX SIGMA CONCEPTS

 

At its core, Six Sigma revolves around the following key concepts.

  • Critical To Quality (CTQ) – Attributes most important to the customer
  • Outside In approach – Looking at internal processes from the customer’s perspective and changing them accordingly
  • Defect - Any event that does not meet the specifications of a Critical to Quality (CTQ) attribute
  • Defect Opportunity - Any event, that provides a chance of not meeting customer requirements and which can be measured
  • Defective - A unit of product containing one or more defects
  • Transfer Function – Y = f (X1, X2, X3….Xn), where Y is the dependent or response variable and Xs are independent or predictor variable that control the performance of Ys. Focus of Six Sigma is to control Xs and not Ys.

APPLICATION OF SIX SIGMA METHODOLOGIES TO IT

 

Several process improvement methodologies like Six Sigma, which have been successfully implemented in the manufacturing industries sector, was perceived ineffective in the IT services industry. Some commonly made arguments against the effectiveness of Six Sigma in IT services sector were:

  • Software processes are difficult to measure.
  • Software development is people intensive work that needs creativity.
  • Software development is not a repeatable process.
  • Six Sigma theories are based on assumption of normal probability distribution and software processes cannot be included in this category.

Though these factors are true in some sense, the Six Sigma methodology can still be applied to IT processes. Six Sigma offers strong tools like Quality Function Deployment (QFD), CTQ flow-down and other templates to convert high level VOC into measurable CTQs.

90% of the processes in a software services company are repeatable and can be improved by the process improvement DMAIC methodology. The DFSS methodology can be applied to the remaining

 

5-10 % of the processes, which involve creativity. It is true that Six Sigma concepts evolved with normal distribution. But, Six Sigma tools can be easily adapted to handle processes having non-normal distribution.

 

The software development life cycle (SDLC) consists of four phases - Analysis, Design, Coding and Testing. Along with these core phases, processes like defect prevention, project management, Software Quality Assurance (SQA), Reviews, etc. are an integral part of the Quality Management System of any IT service provider. The effectiveness of these core processes directly impact the CTQ parameters. There is a large scope for improvement in these processes in most IT companies.

Six Sigma can be deployed to improve these processes.  One of the key factors in deploying Six Sigma is identifying the “Y” metrics (dependants). But for core processes this becomes simpler since historical data for key metrics such as review efficiency, review effectiveness, productivity, defect density, schedule variance and effort variance are already available. After prioritization, critical poor performing metrics can be taken as Six Sigma DMAIC projects.

Six Sigma DFSS methodology can be applied for software development projects. Six Sigma in SDLC helps in making the software manufacturing process more predictable and ensuring that all Customer CTQs are met. Some Sigma tools that can be applied in this methodology are –

  • Quality Function Deployment (QFD) helps in converting the high-level customer requirements (VOC) into detailed program specifications. Use of QFD ensures that no requirements are missed and it also helps in prioritizing the software elements.
  • Failure Mode Effect Analysis (FMEA) is a tool that provides effective risk management for the entire SDLC, and identifies the probable failure modes of software at design phase. This initiates corrective action on the design.
  • Pugh matrix enables software developer / analyst to compare different concepts with reference to customer CTQs and create strong alternative concepts from weaker concepts Scorecard is a predictive tool used for:
    • Predicting final quality (Y metrics) based on process (X) metrics
    • Quantitative Risk Assessment Identification of High Defect Drivers Linkage from customer CTQs at lower levels in a flow down
    • Application of Design of Experiments in software testing is an emerging trend. Software testing based on orthogonal array, detects most possible defects at a fractional testing time.

Among IT-focused Six-Sigma efforts, Dow Chemical adopted Six Sigma in most of its scorecards and IT measurement systems and generates reports using Six-Sigma terminology. Dow describes its effort as standardized and user-focused (as opposed to systems-centric), giving IT and business units a common language for quality — for example, "What defects or variations exist in my IT systems?" or "What steps are we taking to reduce defects or variations?” This discipline has helped to determine the relative priority of user needs to assist in defining service levels with business value.

 

In launching a Six-Sigma strategy, leadership identifies the business objectives of key enterprise processes, determines how to measure their effectiveness and efficiency, and then selects processes of high impact, but low performance for Six-Sigma "tactics." The idea is to reduce the deviation between the average user or customer experience and the customer's requirements — "sigma" being the value for one standard deviation.

 

Studies indicate that most service enterprises operate at two- or three-sigma levels — that is, with poor-quality customer experiences between seven (three sigma) and 31 (two sigma) out of 100 opportunities. Six-Sigma tactics seek to reduce these bad customer experiences to levels of two in 10,000 or three in a million, for five- and six-sigma levels, respectively.

 

PROCESS IMPROVEMENT

 

Six Sigma uses separate methodologies for process improvement and for process and product design. The Six Sigma methodology for improving an existing process is called DMAIC, an acronym for the five steps of process improvement: Define, Measure, Analyze, Improve, Control. (See Appendix 2)

  • Define. This step focuses on the customer requirements — defining the goals and customer expectations and identifying the deliverables. If we take a help desk project as an example, the problem includes how long it takes to get an answer and/or how many times a customer must call before the help desk solves the original problem.
  • Measure. IT measures the existing process to determine current performance. It can then identify defects, establish a baseline, and develop the Critical to Quality (CTQs). In the help desk example, analysts find that cycle times are too long and first-pass yields are too low.
  • Analyze. At this stage, IT analyzes the data to determine the root cause(s) of the defects identified above. Sometimes these can be extremely obvious; other times it takes significant digging to uncover a root cause as opposed to a symptom. The analysis of the help desk problem reveals that turnover is high among techs, so they have little experience. Furthermore, there is no database of previous problems and their resolution.
  • Improve. Once IT has identified the root cause(s), it can develop potential solutions, assess the risks, create a “to be” process map, and implement and observe a pilot solution. For the help desk project, IT decides to: 1) improve the amount of training each tech receives before being put on the help desk, and 2) to implement a searchable problem/resolution database.
  • Control. IT deploys the solution and monitors it to ensure that performance is meeting objectives. It can make changes and measure customer satisfaction on a monthly basis. In the repaired process, help desk management calls unhappy customers within 24 hours.

PROCESS AND PRODUCT DESIGN

 

Using Six Sigma methodology to develop a new process or product, or to make large-scale changes in an existing process, is known as Design for Six Sigma (DFSS). DFSS is a methodology for extracting the voice of the customer and converting it into quantitative design requirements. This forces product designers to meet real customer requirements and stimulates top-line growth, not just bottom-line savings. The expected process Sigma level for a DFSS product or service is at least 4.5 (no more than approximately 1 defect per thousand opportunities), but can be 6 Sigma or higher depending the product. Producing such a low defect level from product or service launch means that customer expectations and needs (CTQs) must be completely understood before a design can be completed and implemented.

 

Numerous companies have defined different sequences of steps for DFSS.

 

The most popular version of DFSS is DMADV (Define, Measure, Analyze, Design, Verify).

  • Define the project goals and customer (internal and external) requirements.
  • Measure and determine customer needs and specifications; benchmark competitors and industry.
  • Analyze the process options to meet the customer needs.
  • Design (detailed) the process to meet the customer needs.
  • Verify the design performance and ability to meet customer needs.

 

A slight modification on the DMADV methodology is DMADOV (Define, Measure, Analyze, Design, Optimize and Verify).

 

IDOV is a well known design methodology, especially used in the manufacturing world. It consists of Identify, Design, Optimize and Verify.

  • Identify. This step begins the process with a formal tie of design to Voice of the Customer. This phase involves developing a team and team charter, gathering VOC, performing competitive analysis, and developing CTQs. Crucial steps of this phase are;
    • Identify customer and product requirements
    • Establish the business case
    • Identify technical requirements (CTQ variables and specification limits)
    • Roles and responsibilities
    • Milestones
  • Design. The Design phase emphasizes CTQs and consists of identifying functional requirements, developing alternative concepts, evaluating alternatives and selecting a best-fit concept, deploying CTQs and predicting sigma capability. Crucial steps of this phase are;
    • Formulate concept design
    • Identify potential risks using FMEA
    • For each technical requirement, identify design parameters (CTQs) using engineering analysis such as simulation
    • Raw materials and procurement plan
    • Manufacturing plan
    • Use DOE (design of experiments) and other analysis tools to determine CTQs and their influence on the technical requirements (transfer functions)
  • Optimize. The Optimize phase requires use of process capability information and a statistical approach to tolerancing. Developing detailed design elements, predicting performance, and optimizing design, take place within this phase. Crucial steps of this phase are;
    • Assess process capabilities to achieve critical design parameters and meet CTQ limits
    • Optimize design to minimize sensitivity of CTQs to process parameters
    • Design for robust performance and reliability
    • Error proofing
    • Establish statistical tolerancing
    • Optimize sigma and cost
    • Commission and startup
  • Validate. This step consists of testing and validating the design. As increased testing using formal tools occurs, feedback of requirements should be shared with manufacturing and sourcing, and future manufacturing and design improvements should be noted. Crucial steps of this phase are;
    • Prototype test and validation
    • Assess performance, failure modes, reliability, and risks
    • Design iteration
    • Final phase review

 

DMEDI is being taught by PricewaterhouseCoopers and stands for Define, Measure, Explore, Develop and Implement. This roadmap is focused purposed to obtain significant competitive advantages or quantum leaps over current environments.  However DMEDI Projects tend to be more time and resource intensive.

  • Define. The project team comes together with its sponsor to develop a well-defined charter that has clear ties to the business strategy and line-of-sight linkage to significant financial benefits
  • Measure. The team focuses on understanding the Voice of the Customer, information that will be used to design best-in-class products and services
  • Explore. The team innovates to develop multiple solution alternatives and selects the most promising concept, as well as confirms a high-level design
  • Develop. The team uses Lean and Six Sigma tools and simulation to create a robust design
  • Implement. The design is piloted, a control plan is developed, and the new product or service is launched

MANAGEMENT SYSTEM

 

The latest innovation in Six Sigma is Motorola’s integrated Six Sigma management system, known as the New Six Sigma, or second-generation Six Sigma. It is also referred to by the acronym AMAG, for its four leadership principles: Align, Mobilize, Accelerate, Govern. AMAG is designed to enhance the effectiveness of Six Sigma outside of manufacturing and engineering environments, and to yield faster and more sustainable results. Like the Six Sigma methodologies, it provides a framework for understanding customer requirements, continuously driving process improvement, and using statistical analysis to drive fact-based decision-making. It goes beyond DMAIC and DFSS, however, by offering a broader, integrated approach for executing full business strategies. AMAG is designed to help a company simultaneously achieve short-term financial gains through fast business improvement, and build future capability in key talent and critical processes. The term process refers in this sub-methodology of Six Sigma not just to classic product and service domains, but also to goals such as market share improvements, better cash flow, and better HR processes. The four leadership principles of AMAG are summarized below.

  • Align executives to the right objectives and targets. Link business strategy and core business processes with critical improvement efforts that address customer requirements. Create a balanced scorecard of strategic goals, metrics, and initiatives to identify the improvement points with the greatest benefit to the bottom line.
  • Mobilize and focus teams by providing clear charters and success criteria, and rigorous reviews. Organize team efforts and focus projects on the customer.
  • Accelerate improvement in business results by implementing shorter deadlines, rigorous reviews, and action-learning methodology (which combines structured education with real-time project work and coaching.) Take advantage of employees’ motivation to act before it perishes.
  • Govern efforts with visible sponsorship by top management to ensure sustained improvements and bottom-line results that drive business goal achievement. The need for management doesn’t stop after improvement opportunities are selected and teams are assigned. Continue rigorous, structured review of projects; knowledge sharing; proactive communication; and management of scorecard metrics.

SIX SIGMA COMPLEMENTS OTHER METHODOLOGIES
  

Project characteristics that determine the relevance of a particular methodology can be based on following dimensions—project size, application domain, and criticality. To understand how each process works within an organization, it’s important to understand the individual maturity and key process areas. (See Appendix 3)

 

The Six-Sigma approach is not exclusive of other quality management or methodology initiatives. IT organizations already committed to or evaluating such approaches as the Capability Maturity Model or the IT Infrastructure Library will find them complementary. The CMM, for example, does not prescribe metrics or measurement techniques, so that Six Sigma's approach to statistically assessing variances does not violate the CMM. Thus, with some rationalization, other quality management or methodology initiatives can be reinforced via Six-Sigma techniques: ITIL can be used to describe the desired state for an IT project, while CMM can be used to assess the maturity level of existing processes. In other words, ITIL tells where the project needs to be, CMM tells where it is today, and Six Sigma helps to get from one state to the other.

 

� Use Six Sigma to achieve ITIL best-practice state. ITIL focuses on identifying best practices with regards to managing IT service levels and is very process-oriented. Therefore, when IT is pursuing process optimization programs, its first step should be to map current processes against the ITIL framework. The ITIL framework serves as the destination or “should-be” state for IT processes. But ITIL doesn’t explain how to allocate priorities.

� Use CMM to assess Six-Sigma-driven progress. Likewise, CMM provides a framework for assessing the maturity of processes. Before implementing an IT process improvement project, IT can use CMM to baseline the existing process from a maturity perspective. A CMM approach may indicate that a project is at an early stage of maturity. Once the project manager have used ITIL to map out where the process should be and have used CMM to baseline the existing process, s/he can use Six Sigma to implement specific process improvement initiatives that will move the process from the current baseline toward a fully ITIL-compliant best practice. 
 

 

A SIX SIGMA SCENARIO: ONLINE BANKING

 

The problem: The project involved the process of how deposits were made to this bank. Since it was an "online" bank, there were no branches for customers to use. Instead, deposits were mailed using the United States Postal Service (USPS). Savings resulting from the lack of branches and tellers were passed along to the customer in the form of higher rates, free services, etc.

 

Customer focus groups and surveys indicated that the process of making a deposit is of critical importance to a customer. The process from the customer's viewpoint is very straightforward -- they sign a check, fill out a deposit slip, and mail both to the bank. Deposits were the second largest driver of inquiries to the customer call center (13% of all calls). Customers expressed frustration in mailing delays and couldn't understand why their checks took so long to post to their account.

 

The bank's mission was to receive the deposits as quickly as possible and begin the deposit and check clearing cycle. When the bank originally set up the processes, a decision was made to establish 'local' deposit locations around the United States. These local deposit locations received the deposits and overnight express reshipped them to a central processing location daily.

 

This local receipt and express reshipment to a central location was done for two main reasons:

  1. A deposit being mailed to a local location would take less time than mailing to a centralized, national location.
  2. Customer input indicated that mailing within a state or to a neighboring state would make customers more comfortable than mailing to a centralized, national location somewhere across the United States.

 

The DMAIC Project 
A project charter was created identifying exactly what the process entailed. The business case was written, the problem statement crafted and the scope clearly identified. The team was formed and quickly moved into the measurement phase. Data surrounding the deposits was collected and the analyze phase began to yield some alarming results.

 

Data and Root Causes 
Data collection, however, revealed a few flaws that weren't originally identified:

  • The express reshipment process was manual. Manual processes that are not reinforced daily and that do not have adequate control plans tend to break down. That is exactly what occurred with the local deposit locations. Some locations wouldn't receive deposits on a daily basis. When deposits were received, they sometimes wouldn't be express reshipped that night because of a lack of engrained process.
  • For deposits that were received during the week, the express reshipment process functioned properly. On the weekend, however, express reshipment wasn't possible, so deposits arriving on Saturday were not express reshipped until Monday evening.
  • Because of USPS processes, some deposit mailings to 'local' deposit locations took as long as three days. Tack on a weekend stay for the above listed bullet, and you can see how a deposit made via mail to a 'local' deposit location may take longer than five days just to be received by the bank.

 

Additional Findings 
An additional analysis of deposits made to a 'local' deposit location with express reshipment to a national location versus mailing directly to a centralized, national location yielded the following results:

  • The 'local' process operates at a 2.1 sigma level, while the centralized, national process operates at a 2.5 sigma.
  • A 2 sample t-test indicated that there is a statistically significant difference between the two process means (p=0.0013).
  • The centralized, national process is faster (2.6 average days) than the local express reshipment process (4.6 average days).
  • An additional survey conducted with focus groups indicated that the deposit mailing location is not a significant factor for a majority of respondents. As an aside, the original data indicating that customers were more comfortable mailing deposits within their state could not be found.
  • A benchmarking analysis of direct competitors indicated that all utilized a centralized, national deposit process.

 

Project Conclusions 
It didn't take further data collection to convince the leaders of the business to modify their deposit process and move to a centralized, national process. The facts spoke for themselves. Cost savings resulting from only printing one address envelopes (instead of numerous local), reduced overhead associated with processing, fewer customer inquiry calls and investigations, and a more stable process resulted in savings of $4MM per year.

 

RECOMMENDATIONS
 

Businesses that implement Six Sigma report numerous benefits, including fewer defects, improved cycle time, higher customer focus, increased customer satisfaction, lower costs, higher employee focus, better (data-driven) decision-making, and a more effective management vision. In short, processes run better, faster, and at lower cost. But these gains can be expected only if a company first makes significant investments in training, organizational infrastructure, and cultural evolution (all employees thinking about how their actions impact the customer; all communicating with consistent language). Because the training and other start-up costs for Six Sigma are fairly high, it has generally been implemented by large corporations with large consulting budgets. Smaller companies would also have trouble with the expense of assigning one or more employees to work full-time just on Six Sigma. In a Quality Digest survey of companies using Six Sigma, only 16 percent of respondents were in companies with fewer than 500 employees, and in two thirds of those cases, the "small company" was really part of a larger company.

 

Many consultants, however, have developed training materials or off-site courses to enable smaller companies to implement Six Sigma, too. On-line training, offered by Motorola, is another cost-effective way for a smaller company to train its employees. Six Sigma software can also aid a smaller company by reducing the burden of processing Six Sigma analysis. Even so, it is unlikely that the full Six Sigma program with a full-time Six Sigma practitioner will be practical for most smaller companies. It will probably be necessary for smaller companies to adapt the program to fit their situations, so that employees could be trained and use Six Sigma skills as part of their existing jobs, instead of the company dedicating a full-time Six Sigma employee.

 

Six Sigma is not a get-rich-quick scheme. In fact, companies should expect only to break even in the first year of implementation. Eventually, though, companies can expect to save from 1.2 to 4.5 percent of revenue annually by implementing Six Sigma.
 

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