21, Jalan MJ 14,
Taman Industri Meranti Jaya,
47100 Puchong,
Selangor, Malaysia.
+603-8066 2496
+6012-522 1357
+6012-522 1357
+603-8062 6172
XTS Technologies Sdn Bhd
21, Jalan MJ 14,
Taman Industri Meranti Jaya,
47100 Puchong,
Selangor, Malaysia.
21, Jalan MJ 14,
Taman Industri Meranti Jaya,
47100 Puchong,
Selangor, Malaysia.
PT Bachtera Ladju
(Indonesia Distributor)
Jl Tanah Abang III No.29
Jakarta, Indonesia.
+622129610745
sales-4@bachteraladju.com
(Indonesia Distributor)
Jl Tanah Abang III No.29
Jakarta, Indonesia.
+622129610745
sales-4@bachteraladju.com
Statistical Process Control (SPC)
Statistical Process Control (SPC) is an industry-standard methodology for measuring and controlling quality during the manufacturing process developed by XTS. Quality data in the form of Product or Process measurements are obtained in real-time during manufacturing. This data is then plotted on a graph with pre-determined control limits. Control limits are determined by the capability of the process, whereas specification limits are determined by the client's needs.
Data that falls within the control limits indicates that everything is operating as expected. Any variation within the control limits is likely due to a common cause—the natural variation that is expected as part of the process. If data falls outside of the control limits, this indicates that an assignable cause is likely the source of the product variation, and something within the process should be changed to fix the issue before defects occur.
With XTS real-time SPC you can:
Measuring the ROI of a Real-Time SPC Solution
To quantify the return on your SPC investment, start by identifying the main areas of waste and inefficiency at your facility. Common areas of waste include scrap, rework, over inspection, inefficient data collection, incapable machines and/or processes, paper-based quality systems and inefficient lines. You can start to quantify the value of an SPC solution by asking the following questions:
Data that falls within the control limits indicates that everything is operating as expected. Any variation within the control limits is likely due to a common cause—the natural variation that is expected as part of the process. If data falls outside of the control limits, this indicates that an assignable cause is likely the source of the product variation, and something within the process should be changed to fix the issue before defects occur.
With XTS real-time SPC you can:
- Dramatically reduce variability and scrap
- Scientifically improve productivity
- Reduce costs
- Uncover hidden process personalities
- Instantly react to process changes
- Make real-time decisions on the shop floor by SPC
Measuring the ROI of a Real-Time SPC Solution
To quantify the return on your SPC investment, start by identifying the main areas of waste and inefficiency at your facility. Common areas of waste include scrap, rework, over inspection, inefficient data collection, incapable machines and/or processes, paper-based quality systems and inefficient lines. You can start to quantify the value of an SPC solution by asking the following questions:
- What is your quality costs really known?
- Can current data be used to improve your processes, or is it just data only?
- Are the right kinds of data being collected in the right areas?
- Any decisions being made based on true data?
- Can you easily determine the cause of quality issues?
- Do you know when to perform preventative maintenance on your current machines?
- Can you accurately predict yields and output results?