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Six Sigma started at Motorola Inc. as a defect reduction effort in manufacturing and was then applied to other business processes for the same purpose. The term "Sigma" is often used as a scale for levels of "goodness" or quality. Using this scale, "Six Sigma" equates to 3.4 defects per one million opportunities (DPMO). A Six Sigma defect is defined as anything that falls outside customer specifications. A Six Sigma opportunity is therefore the total quantity of chances for a defect.
As Six Sigma has evolved, there has been less emphasis on the literal definition of 3.4 DPMO, or in other words, counting defects in products and processes. Six Sigma is a business improvement methodology that focuses on the following points:
- Understanding and managing customer requirements;
- Aligning key business processes to achieve those requirements;
- Using rigorous data analysis to minimize variation in processes;
- Promoting fast and sustainable business process improvement.
Six Sigma started at Motorola Inc. as a defect reduction effort in manufacturing and was then applied to other business processes for the same purpose. The term "Sigma" is often used as a scale for levels of "goodness" or quality. Using this scale, "Six Sigma" equates to 3.4 defects per one million opportunities (DPMO). A Six Sigma defect is defined as anything that falls outside customer specifications. A Six Sigma opportunity is therefore the total quantity of chances for a defect.
As Six Sigma has evolved, there has been less emphasis on the literal definition of 3.4 DPMO, or in other words, counting defects in products and processes. Six Sigma is a business improvement methodology that focuses on the following points:
- Understanding and managing customer requirements;
- Aligning key business processes to achieve those requirements;
- Using rigorous data analysis to minimize variation in processes;
- Promoting fast and sustainable business process improvement.
At the heart of the methodology is the DMAIC (define, measure, analyze, improve, and control) model for existing processes that fall below specifications and seek incremental improvement. The Six Sigma DMADV process (define, measure, analyze, design, and verify) is an improvement system used to develop new processes or products at Six Sigma quality levels. It can also be used if a current process requires more than just incremental improvement. Both Six Sigma processes are executed by Six Sigma Green Belts and Six Sigma Black Belts, and are overseen by Six Sigma Master Black Belts.
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Define
Build Projects from Nonconformance, Feedback & Audits.
Measure
Collect Measurements.
Analyze
Analyze Processes Online (OLAP).
Improve/Design
Correct, Design, Train & Document
Control/Verify
Monitor Live Dashboard.
Therefore, the Six Sigma methodology starts with a preliminary problem definition analysis and then uses statistics and quality tools to transform the information acquired into the knowledge required for effective problem solving. Statistical tools and technical knowledge must always be combined with a problem solving methodology to improve its efficiency.
When used as a management system, Six Sigma represents a high performance system for executing business strategies. Process metrics and structured methodology are applied to improvement opportunities that are directly linked to the organization’s strategy.
Six Sigma is a top-down solution to help organizations:
- Align their business strategy with critical improvement efforts;
- Mobilize teams to effectively manage high impact projects;
- Accelerate improved business results;
- Govern efforts to ensure that such improvements are maintained.
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Benefits
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One of the biggest problems with Six Sigma is the fact that many organizations have no understanding of the methodology so that the concepts involved are transmitted erratically, causing harm to the organization. However, the main benefits of implementing Six Sigma are:
- Reduced organizational costs;
- Significant increase in productivity and quality of products and service;
- Increase and retention of customers
- Elimination of activities that do not add value;
- Beneficial change in organizational culture.
One of the biggest problems with Six Sigma is the fact that many organizations have no understanding of the methodology so that the concepts involved are transmitted erratically, causing harm to the organization. However, the main benefits of implementing Six Sigma are:
- Reduced organizational costs;
- Significant increase in productivity and quality of products and service;
- Increase and retention of customers
- Elimination of activities that do not add value;
- Beneficial change in organizational culture.
As it involves changing the organizational culture of the company in which it is implemented, there is usually strong initial resistance to its implementation among employees and teams. This aspect should not be overlooked in its implementation, as doing so could result in a serious risk of failure.
The issue of organizational culture is important when it comes to Six Sigma. Proof of this is the fact that companies that have implemented the program are the ones with the greatest tradition of quality, i.e. they have already adopted other quality programs in the past.
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The Challenge
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The aim of implementing Six Sigma in organizations is to enhance quality, through continuous improvement of the processes involved in production, in a structured way, considering all aspects that are important for the business. This methodology also prioritizes increasing profitability, as many efforts are focused on reducing the costs of quality and improving the efficiency and effectiveness of all the operations that cater for customers’ needs.
The aim of implementing Six Sigma in organizations is to enhance quality, through continuous improvement of the processes involved in production, in a structured way, considering all aspects that are important for the business. This methodology also prioritizes increasing profitability, as many efforts are focused on reducing the costs of quality and improving the efficiency and effectiveness of all the operations that cater for customers’ needs.
The main challenges in the implementation of Six Sigma are:
- Involvement and commitment of upper management;
- Project management skills;
- Project prioritization and selection;
- Documentation reviews;
- Customer Focus;
- The limited availability of staff to carry out studies and receive training, among other activities;
- The complexity of the operations carried out;
- Internal training, since the training for Six Sigma is much more complex than for most other quality programs;
- Mastering the use of the quality tools.
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Each SoftExpert component addresses key compliance issues as shown below:
| DMAIC/DMADV Process |
SoftExpert Solution |
| D - Definition Phase: Define the project goals and customer (internal and external) deliverables. |
Define Customers and Requirements (CTQs).
Develop Problem Statement, Goals and Benefits.
Identify Champion, Process Owner and Team. Define Resources.
Evaluate Key Organizational Support.
Develop Project Plan and Milestones.
Develop High Level Process Map. |
Initiative Request feature for each new initiative (project proposal or process improvement).
Project and Portfolio management applications will help you gather customer requirements, develop a sound business case, develop the project plan, and project charter, specifying necessary resources, constraints and assumptions, boundaries and other details, with information being added and updated as the project progresses.
Form and document management functionality to capture and archive the charter, scope statements, and other documents.
Allows for the configuration of project attributes, activities, resources, etc.
Easily establishes the project roles, skills, competencies, and their associated relationships. |
| M - Measurement Phase: Measure the process to determine current performance; quantify the problem. |
Define Defect, Opportunity, Unit and Metrics.
Detailed Process Map of Appropriate Areas.
Develop Data Collection Plan.
Validate the Measurement System.
Collect the Data.
Begin Developing Y=f(x) Relationship.
Determine Process Capability and Sigma Baseline. |
Statistical process control (SPC) application allows you to collect data either manually or automatically, and store it in a single, centralized, and secure database to be further analyzed by the built-in control chart applications.
Process management provides the graphical representation of the process, depicting inputs, outputs and units of activity. It represents the entire process, allowing for workflow analysis and optimization.
Process simulator simplifies process review and analysis.
Workflow engine automates the entire process and improves team communication and collaboration.
MSA (Measurement System Analysis) application helps uproot process-related problems. It classifies variations into the following categories: Bias, Linearity, Stability, ANOVA, and Repeatability & Reproducibility, helping to measure the effectiveness of gauges, rulers and other measurement instruments. |
| A - Analysis Phase: Analyze and determine the root cause(s) of the defects. |
Define Performance Objectives.
Identify Value/Non-Value Added Process Steps.
Identify Sources of Variation.
Determine Root Cause(s).
Determine Vital Few x's, Y=f(x) Relationship. |
Statistical process control application that allows you to analyze previously collected data. Some of the built in tolls include: Histogram, Pareto Chart, Time Series/Run Chart, Scatter Plot, Cause and Effect/Fishbone Diagram, and 5 Whys.
Process simulator simplifies process review and analysis. |
I - Improvement Phase: Improve the process by eliminating defects.
D- Design Phase: Detail the process to meet customer needs. |
Perform Design of Experiments.
Develop Potential Solutions.
Define Operating Tolerances of Potential System.
Assess Failure Modes of Potential Solutions
Validate Potential Improvement by Pilot Studies.
Correct/Re-Evaluate Potential Solution. |
The methodology contained within SoftExpert’s FMEA allows you to quickly and easily:
Analyze the potential failure modes of your process or product;
Analyze the resulting effects of those failures;
Analyze the potential causes and risks associated with each cause; Anticipate and quantify the likelihood of problems;
Prioritize actions needed to mitigate the associated risk of failure.
Process simulator simplifies process review and analysis.
Customizable workflow and alerts also allow for process control and automatic notifications.
Use Statistical Process Control (SPC) data to identify bottlenecks, wait times, and other sources of delays within the process.
Also use SPC to find variations in the process, thus reducing waste as well as the likelihood that problems will be passed on.
Direct and manage the project execution.
Workflows to start, communicate, expedite, and control the implementation of work.
Resources enter time and effort to show progress and invoiced expenses to show accrued costs.
Risks, issues, changes, or any other exception can be characterized, resourced, scheduled, and monitored. |
C - Control Phase: Control future process performance.
V- Verification Phase: Verify the design performance and ability to meet customer needs. |
Define and Validate Monitoring and Control System.
Develop Standards and Procedures.
Implement Statistical Process Control.
Determine Process Capability.
Develop Transfer Plan, Handoff to Process Owner.
Verify Benefits, Cost Savings/Avoidance, Profit Growth.
Close Project, Finalize Documentation.
Communicate to Business, Celebrate. |
Textural and graphic analytical features to monitor the project and process.
Measure process and product results with statistical analysis, volume of change, and multiple health indicators (cost, schedule, resource allocation) with upper and lower control limits represented by color and images.
Workflows can be used to initiate closing out a project to obtain approval from all required stakeholders.
The entire content of the project can be archived or used as a template for future projects, process standardization, and lessons learned analysis.
Easily compare objectives with actual results using a variety of performance analysis views and reports, as well as managerial charts. |
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