Supply Chain Management For Dummies. Daniel Stanton
of Lean Manufacturing are described in Japanese terms.
When someone identifies a need to innovate or improve a process, the key stakeholders are brought together for a kaizen event. (Kaizen is pronounced to rhyme with “Hi Ben.”) During a kaizen, the stakeholders form a team and look at how the process is working, come up with ideas for how to make it better, and then implement changes. That sounds simple, and it should be. But business cultures often make it hard for people to speak up or be heard, so a formal approach like Lean helps get everyone involved.
Under the Lean approach, companies should continually drive eight kinds of muda out of their processes and supply chains:
Transportation: Any time you ship something from one place to another, you’re consuming time and money. The less you need to ship a product, the better.
Inventory: Any time you have products sitting around in inventory, you’re wasting money by tying up space and working capital.
Motion: Any time you move something when it isn’t necessary, or when it isn’t somehow making your product more valuable to a customer, you’re wasting time and money.
Waiting: Any time you have to wait for one thing to happen before you can do something else, you’re wasting time and money.
Overproduction: Any time you make too much of a product, or make a product before you can sell it or use it, you’re wasting time and money.
Overprocessing: Any time you do something that doesn’t add value — that a customer won’t pay for — you’re wasting time and money.
Defects: Any time you make a product that you can’t use or sell (including scrap and rework), you’re wasting time and money.
Untapped skills and employee creativity: Any time you fail to engage and inspire your employees to offer ideas, implement improvements, or identify waste, you’re wasting an asset that you’re already paying for: their brains.
Six Sigma
Six Sigma is a process improvement method that’s built on statistics. The basic idea is that variation is bad. When you’re running a manufacturing process or a supply chain, you need consistency and predictability. If you don’t have consistency, some percentage of the things that you make probably isn’t useful for your customers. If you do have consistency — that is, if you have a process under control — there’s a much better chance that the products you make are useful. Consistent processes lead to a high quality level for products.
I don’t want to get too deep into the math here; you can find plenty of other books that do. The important thing to understand about Six Sigma is that the goal is to have a very small number of defects — that is, improved quality — as a result of decreased process variation. You get there by measuring processes and using mathematical tools to improve consistency.
You follow five steps to apply Six Sigma as a process improvement methodology. These steps create the acronym DMAIC (pronounced “duh-may-ick”).
Define
Measure
Analyze
Improve
Control
Step 1: Define
The first step is to clearly define the process that you’re trying to improve and why you want to improve it. During this phase, you need to build a business case for why the project is important and what resources you need to complete it. An important part of building the business case is to get feedback from the people who deal with the outputs of a process: the customers. This feedback is called voice of the customer (VOC). The overview of the project, including the VOC, should be summarized in a Six Sigma project charter.
Step 2: Measure
The second step is measuring the process that you’re trying to improve. Because Six Sigma is a mathematical approach, you need to collect data so that you can measure how the process is working and calculate the amount of variation. Taking good measurements is critical so that you can calculate benefits during the next steps in a project. If your measurements aren’t accurate, your improvement efforts are probably going to be misguided.
Step 3: Analyze
After you collect data about the process, you analyze the data. In the world of Six Sigma, this analysis often requires a solid understanding of statistics and the use of some statistical analysis software. Generally speaking, the data helps you identify variations in a process and shows how those variations affect the quality of your products. Data analysis can help you understand what things are causing the variability — the root causes — so that you can look for ways to improve the process.
Lots of programs are available to educate people about Six Sigma, and many of them will even grant you a certificate when you’re done. Generally, there are four levels of training and certification:
Yellow Belts understand the basic concepts and terminology of Six Sigma and can contribute as a member of a process improvement project.
Green Belts have a solid understanding of Six Sigma and can lead process improvement projects on their own.
Black