Six Sigma Tools

In this episode we"ll introduce You to the topic of Design For Six Sigma.You will find out what Design For Six Sigma is.You will also learn about the process related to this new product development approach.

In this episode, we answer the question: How to conduct experiments so that we may learn as much as possible about the subject of the experiment and at the same time not go bankrupt? You will then learn about the history of design of experiments and the main concepts involved. In the next part of the lesson, you will find out about some types of experiments and the process of creating your own experiments.

After viewing this lesson, you will learn why the reasons  why sometimes experiments fail. In the next part of the lesson, you will find out about orthogonal experimental design. This is the basic experimental technique used in design of experiments (DOE) - and the most commonly used.

In this episode, we"ll answer the question: an experimentation itself be subject to optimisation? Next, you will learn about orthogonal arrays and how to create them. Finally, the lesson will discuss line graphs, a graphical representations of Taguchi"s experimental designs.

In this episode, you"ll learn about mixture designs - experiments in which individual factors at various levels. You will also find out how designs can be optimized - 3 techniques will be discussed: Dummy Level Technique, Combination Design Technique, Collapsing Technique.

In this episode you will learn about the main tasks of a project team. You will find out what criteria should be considered while selecting a project by the team. Then we will focus on understanding the relationship between the Customer"s needs (the so-called "Voice of the Customer") and the process output characteristics. In addition, you will learn what the tools to sort out these correlations. Finally, we will discuss the types of output characteristics using practical examples.

The Design for Six Sigma concept is one of the best approaches to product or service design. The concept ensures that a product or service be designed at minimum variation - which is a guarantee of the highest quality in the short and long-term perspective. The essence of the Design for Six Sigma approach is to make variability, which is the enemy of quality, as small as possible, or under control.The question come up: how to achieve this? For this purpose, Robust Design can be employed. This is what we will talk about in this episode.

In this material you will find answers to questions such as: What types of data we typically work with in Six Sigma project and which tools are used to assess measurement system variation for each data type? What are the benefits coming from a proper evaluation of the attribute measurement system? What  is Kappa, when to use it, how to conduct Kappa evaluation and how reach a conclusion from the undertaken Kappa studies? What is ICC, when do we use it, how to run ICC test and what can we learn from ICC studies?

Did you know that creativity combined with structure and data allows you to perform well? In this episode, you"ll find out about patterns of thinking that can be applied on a daily basis. Then you"ll learn what barriers keep you from using creativity, you" ll get to know how to identify differences in problem solving that have to do with personality traits, and you"ll learn tools that can be helpful in supporting employee creativity. 

Lean or Six Sigma? Which process optimization method is better?Can they be used interchangeably?What are the differences between these approaches? Do they have common elements?You will find answers to these questions in this episode.