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Reduce cost. Eliminate waste. Increase quality and productivity. Isn’t that what all companies want? Effort is expended daily, weekly, and monthly. Why is it so hard?
The original design of the product, service, or process dictates the floor for cost and the ceiling for quality and productivity. The race to be the first to market with the new product or the service is often the limiting factor. Get that new process up and running as fast as possible is stubbing our toes. Why is this so common? Is it because we never have enough time to …
What it is:
A distribution is a graphic representation of numerous measurements of one characteristic that describes something. The measurements are placed upon a continuous scale from small to large. The numerous measurements, generally 50 or more, become a graphic representation called the distribution by grouping similar values together. The number of measurements that fall into each group of similar values is characterized by the count of those values, often referred to as the frequency. The count of values for each group is plotted to …
Interpreting Big Data Analytics often leads us to the quandary of answering the question, “Is it signal, or just noise?” When the statistics applied for our analytics study is based upon historical data it is retrospective in nature. The analysis may point out significant signals that are potentially meaningful and also potentially misleading. How does one tell the difference between signal and noise?
A true signal was caused by something that can be turned on or turned off. Noise is based upon the environment where there is no …
In the world of Big Data Analytics we enjoy having lots and lots of data. In the world of statistics the old adage was more data is always better than less. It used to be that getting your hands on the data was costly and cumbersome, but now the age of Big Data. Wow, we have lots and lots of data probably more than we really need to make sound business decisions.
The p Value is the statistic that provides us with the confidence to declare that a difference exists, or it doesn't. It is like guilty or innocent. If the p Value is less than 0.05 …
There are many opinions for the definition and even more related on how to acheive operations excellence. Let's start with Webster's Dictionary and take it from there.
Operation: A process of a practical or mechanical nature.
Operational: Ready to execute
Excellence: The state of excelling; superiority. An excellent quality or feature.
To summarize the meaning of Operational Excellence, the following should suffice.
Practical processes that execute with superior quality.
With that defintion how do you tell if your organization is …
Companies sell the output from what their employees do. That could be providing brokerage services, running a machine on an automobile production line, or designing a graphic ad campaign. No other resource within an organization will have as positive an impact on company performance and bottom-line results as well trained employees. Therefore, management must continuously assess the training needs of the work force.
What must management deal with?
New employees with little or no skills
Employees with obsolete skills
Transferred employees …
An effective evaluation system provides valuable information for all parties such as:
Training Management Team
Senior Corporate Management
The training evaluations should be used as the means to make training decisions such as:
Evaluations document the results of training programs, which can be used to prioritize training needs for the organization. Training Management can use the evaluations for the allocation of training resources to the training programs with the most …
Trainers are involved in the application of organization development solutions through their training programs. The following theories of Chaos and Complexity relate to organizational change.Chaos theory assumes that order exists even when it’s not immediately apparent. Complexity theory is the study of complex systems, such as organizations. Just how do organizations adapt to their environments and cope with uncertainty?As complex adaptive systems, organizations exhibit characteristics of chaos and complexity. The central premise of …
Let’s begin by explaining what the RACI Model is. Then an overview of how to apply the model in two cases:
Management of Projects
Management of Processes
RACI is an acronym that means Responsible, Accountable, Consulted, and Informed. Effective management is always tied to knowing who has which responsibility to not only get the job done, but also who do we communicate and collaborate with. The RACI Model uses a matrix to align the level of responsibility (RACI) with the activities to be accomplished and the roles participants …
There are many types of process maps and process mapping techniques. Which one is most appropriate to use? To start, let’s make a list of the various types of process maps.
Process Flow Chart
SIPOC high level Process Map
Detailed Process Map
Swim Lane, or Deployment Process Map
Value Stream Map (Current State or Future State)
They all have their purpose and use. Typically the process maps are used in conjunction with each other as a step by step dive into more and more detail as we progress from the high level view to the …
Have these ever happened in your Business?
Decisions made backfire, fail to solve the problem, or create additional issues you didn’t plan for?
Productivity and Quality issues hamper your customer’s experience?
Quality issues impact your costs and profits?
Problems that have been solved have to be solved again and again.
Your management teams and employees work hard and believe they are making the right decisions in the best interest of the company and its customers. They continuously address quality and productivity issues …
American businesses are losing ground in the Global Economy becasue the workforce lacks technical and soft skills training.
More than 80% of organizations state that budgetary constraints and lack of skilled staff to conduct needed training hinders global learning. (2014 Study by Association for Talent Development, formerly ASTD) In a study conducted by Babson-Pearson Sloan C found that 77% of academic leaders rate the learning outcomes from online education and training as the same or superior to those in face to face classes. The ATD study …
What is Lean Six Sigma?
Lean Six Sigma is a five phased improvement process that employs tools and techniques to meet, or exceed customer requirements. If your organization has external customers, internal customers, or suppliers then opportunities exist to apply Lean Six Sigma.
In every case, the improvement team defined the issues that were getting in the way of satisfying customer requirements. Measurements were used to establish a baseline of the current state of performance. Analysis was conducted on the measurement information to …
Analyze any Business Process in 10 Easy Steps:
Define and name the process.
Determine which performance measures are important for the process and its customers both internal and external.
Map the process steps. A SIPOC process map is a good start. List the Suppliers and the Inputs they provide to the Process. Each Process Step generates Outputs that are delivered to that step’s Customers.
Collect enough performance measure data to set a baseline. Usually that is 20 to 25 data points plotted on a Process Control Chart. The …
Lean Six Sigma is all about the integration of practical application tool kits. Lean is the synchronization of process output to customer demand.
There are seven key principles in the Lean philosophy.
Eliminate Waste, where waste is defined as anything other than the minimum amount of equipment, materials, parts, space, and time which are absolutely essential to add value to the product or service in the eyes of the customer.
Simplify production flow
Achieve quality by managing the process, not the product
Produce to demand, not to …
Lean has its roots in the Just in Time and Continuous Flow days of the 1970s. Supporting the implementations and solving problems back then was the job of the TQM folks using one of many multi-step problem solving processes. We had the TQ people and the JIT people, who generally talked, but walked down different paths.
The programs were considered to be separate, but complimetary. So when the Six Sigma bandwagon started up in the 1980s and Lean started its rebirth in the 1990s we once again had two separate initiatives. This generally put a …
Is it time to dust off tried and true theory that leads to quality and productivity? W. Edwards Deming has provided us with a road map and identified the roadblocks that impede an organizations ability to meet and exceed their customer’s requirements. How about moving from having valued customers to having proponents of what your organization provides, thus increasing your value to the new customers you have yet to service? Let’s review the 14 points and then you can decide if they apply today.
Create Constancy …
Today, more than ever before there is talk about Big Data and Analytics. Information sources abound and that is why Big Data can seem both needed and overwhelming. When the data seems mind boggling then the application of Analytics to understand and interpret it is impossible to fathom. Data Collection Planning is a systematic approach to focus getting what you want from the data by capturing what is needed to answer the questions that are paramount for your organization.
There are two purposes for collecting data and the application of …
The Advanced Course in Design of Experiments is a comprehensive "how to" guide for the design and analysis of complex statistical experiments. The course features training presentations, instructional videos, statistical software demonstrations, interactive quizzes and final exam, and an experiment simulator so you can try all the methods taught in the course.
All presentation materials are available as downloads in a pdf format. All tools, templates, and data sets are provided as well. The total estimated seat time for this course is 8 hours. …
Getting started with the analysis of a process often feels like an insurmountable task. The following will help by breaking the analysis into ten small steps. These 10 steps are how you can analyze any process.
Define and name the process. It sounds a little simple, but what process are you going to analyze?
Determine which performance measures are important for the process and its customers.
Map the process steps. A SIPOC process map is a good start.
Collect enough performance measure data to set a baseline. Usually that is 2 …