Equipment downtime is important to track because if the process isn’t running, you aren’t producing any product. When collecting downtime data, there are several keys to ensure you are producing useful information.
Most modern manufacturing processes are controlled and monitored by computer based control and data acquisition systems. This means that one of the primary ways that an operator interacts with a process is through computer display screens. These screens may simply passively display information, or they may be interactive, allowing an operator to select an object and make a change which will be then be relayed to the actual process. This interface where a person interacts with a display, and consequently the process, is called a Human-Machine Interface, or HMI.
Operating and troubleshooting a modern automated manufacturing process requires seeing and acting on hundreds or thousands of individual pieces of data. Digital control systems and plant-wide information systems have given us the ability to bring all of the data regarding plant status and performance to a single location. The challenge then is to create effective visual displays that allow the consumers of this information to easily understand and interact with the data.
In the world of digital controls, the visual portion of the human-machine interface, or HMI, is typically a configurable, electronic flat panel display. The challenge is to design graphics for these screens which “best” convey the status of the process to the operators.
When it comes to operating a manufacturing process of any kind, everyone will agree that it is beneficial to have a lot of data. However, simply collecting and storing data does not, by itself, yield measurable benefits. In order to take full advantage of the data, it needs to be organized, archived and then made available in a variety of formats throughout a facility.
This is the function of a versatile and robust plant-wide information system , also referred to as a Plant Information Management System (PIMS), or, alternatively, a Process Information Management System. No matter what you call it, the purpose of a PIMS is the presentation of well-organized data which should lead to informed and cost-effective decisions. Read More
The Pareto chart is a quality improvement tool that is based upon the Pareto principle, the principle that 80% of an outcome comes from 20% of its inputs. Vilfredo Pareto, an Italian engineer and economist, first observed the 80/20 rule in relation to population and wealth. At the beginning of the 20th century, Pareto noted that in Italy and several other European countries, 80% of the wealth was controlled by just 20% of the population.
Note: a previous post on Centerlining is referenced in this article. It may be helpful for you to read that first, if you haven’t already done so.
Once a manufacturing process has been centerlined and is running relatively well, it is time to take the next step – measuring and tracking important product characteristics. One method of tracking involves the use of process control charts.
Yogi Berra once said, “If you don’t know where you are going, you might wind up someplace else.” This is stating the obvious but it is important to have a plan when implementing OEE. If you don’t spend time planning up front, you will pay for it down the road with extra time and effort or it could lead you down the wrong path with misleading OEE results.
Consistent product quality is important because customers want to know what they can expect from the products they purchase. One way to ensure consistency is to inspect every product after it is made and either reject or accept it.
However, in many cases, 100% product inspection is not efficient due to the variety, complexity, or volume of products being produced. A better way to ensure consistency is to make sure that the manufacturing process runs the same way all of the time. This is where centerlining can help.
Overall Equipment Effectiveness (OEE) is a manufacturing performance metric that is used to identify lost opportunities and measure improvement efforts.
OEE combines downtime, speed, and quality losses into one metric to determine how much quality product is produced compared to how much should have been produced in a given time. Essentially, OEE measures the percentage of time that is actually productive. Calculating OEE is done by multiplying three factors together:
Today it seems that acronyms are being created and assimilated into everyday language faster than ever before. We run into them at the workplace, home, sporting events, and on the news. Some have become so commonplace that it is difficult to remember their meaning and origin. Think: DVD, LED, IQ, and GMO.
Manufacturing and processing industries have their own set of acronyms. Whether you are new and too shy to ask, or have been around for a while and have forgotten, here are the meanings of some of the more common manufacturing acronyms in use that are related to processes and operations: