Control charts assignment help
Control charts have been used in manufacturing, stock tradingalgorithmsand process enhancement mythologies like Total Quality Management and Six Sigma for many years. Their primary role is to set an upper and lower limit of the acceptable performance to ensure successful processes. Simply put, a control chart provides businesses with an excellent way to measure different processes so that they can come up with ways to improve poor performance and achieve success.
Control chart, being one of the most important topics in statistics requires students to have a solid grip of the concepts in order to secure a decent grade at the end ofthe semester. But a good grade can only be achieved if one works hard in class and completes all the issued assignments correctly. At Statistics Assignment Experts, we run a control charts assignment help service that handles projects derived from this topic so that students can score better in these tasks and have more time for extra reading.
Understanding a control chart
To understand a control chart better, let’s consider a company that manufactures nails for the construction industry. The company is recognized far and wide because of the high quality nails it produces. Each nail is strong enough and drives into surfaces without bending and for this quality, builders don’t have a problem paying the high price that the company charges for this specific product. Other cheaper nails are not strong enough and bend easily when driven into surfaces.
To achieve the high quality that the construction industry is looking for, the manufacturing company has to use a control chart to determine the quality of the nails coming out of the nail machine. Usually, such a control chart would be a graph with an average line, a lower control threshold and an upper control threshold that clearly shows the company how the machine performs over time. A control chart will show how the company data compares to the wanted or expected average.
The company is able to tell how many nails do not meet the set quality standards just by looking at the control chart. The control chart can also be used to examine the nail machine to ensure that it is working effectively. If most of the pieces produced by the machine seem to be either above or below the control lines, then it means that something is wrong with the machine and needs fixing.
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Types of flow charts
Control charts fall under two distinctive categories: variable control charts andattribute control charts. Variable data is data that uses a continuous scale measurement like a weighing scale, thermometer or a tape rule. Attribute data, on the other hand, is data that is measured using its characteristics, for instance, good or defective. The control chart you choose to use on your data will depend on the data types you areworking with. Here are the two types of control charts explained in depth by our online control charts tutors:
- Variable control charts: A variable control chart is used to attain and maintain an acceptable level of quality for a given process. It uses a quantitative measurement such as the wall thickness of a pipe, length of a screw, diameter of a bolt, etc. Variable control charts have several advantages:
- Give warnings in time. If some rectification is needed in a process, early warnings can help reduce scrap and rejection percentage.
- Ensure a high level of product quality
- The information about the process selection and tolerance limits provided by the control chart indicates clearly whether the process is in or out of control, which can help a company make an informed decision quickly before a problem escalates.
- Reduce inspection work
- Show the difference between the assignable and chance causes of variations in data, which allows for substantial improvement in data and process quality.
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- Attribute control chart: An attribute control chart is used to meet and maintain the acceptable level of quality for a process whose end products can only be classified based on their characteristics. It determines whether the product is good or bad or whether it is acceptable or unacceptable. For instance, the coating of a product can be categorized as acceptable or unacceptable. There are four types of attribute flow charts:
- P-charts or control charts from fraction defectives
- N P- charts or control charts for number defectives
- 100 p- charts or control charts for percent defectives
- C- charts or control charts for total defects per a given unit
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Other types of control charts include:
- X- bar charts
- R charts
- EWMA (Exponentially Weighted Moving Average) charts
The above three are usually used for advanced Six Sigma practitioners like the Master Black Belts and Black Belts. As we stated earlier, selecting the right control chart for the given type of data will help a company achieve the best insights into the performance process and fix errors in operations before they intensify.
Purpose of a control chart
According to our providers of help with control charts assignments, the main purpose of a control chart is to identify trends over time. Processes in a business vary from time to time; from manufacturing to employee productivity to customer service. Having a control chart that measures these variations and displays them graphically can help company processes stay within the acceptable limits. Control charts are commonly used in the manufacturing industries because sectors like these often have plenty of processes to track including production time, defects, cost per unit, and inventory on hand. However, control charts can also be used to measure non-manufacturing processes like:
- Billing errors
- Patients who acquire an infection during a stay in a health facility
- Customer support calls
- Missed appointments
- Past due invoices
- Unplanned employee absences
- Operation expenses
- The time between advertising a job position and contracting an employee
- The average employee tenure
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Rules of a control chart
There are several rules that a company should follow when applying a control chart to its processes. We have listed a few below:
- A company must define what it wants to measure or control such as employee productivity, customer satisfaction, product or service quality, etc.
- It should also identify the methods through which it will collect and measure data
- If the above two rules have been observed, then the company can go ahead and create a control chart
- It can then collect and chart data
Once the data has been mapped, the company can easily see whether there are problems in the process being measured. If a problem is identified, then the company must come up with ways to implement a fix. If you are looking to pay for control charts assignments because you are not sure what the rules of a control chart entail, look no further. We have the best experts to write your assignment and they will offer you an excellent service.
Elements of a control chart
A control chart comprises of three elements aside from data:
- An upper control limit, which is measured three standard deviations above the average line or centerline
- A lower control limit, which is measured three standard deviations below the average line
- A centerline (average line), which denotes the average of the process, for instance, the average billing time, average production time, average patient waiting time, etc.
A standard deviation is a mathematical technique used to measure how a process deviates from the mean.
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