Improving Business Processes thru Statistical Process Control SPC
Statistical Process Control (SPC) is a very effective method of quality control that members of your organization can learn and apply right away. With the popularity of personal computers, you can leave the heavy statistical lifting to popular software like MS Excel. Your members can spend more time gaining insights into how to read quality performance data rather than struggle with statistical computations.
Learning SPC will bring your staff beyond mere checking of compliance to a scientifically based appreciation of how your processes or machines are performing. This could help them detect if a problem is about to occur and implement countermeasures sooner rather than later.
What is Statistical Process Control (SPC)?
SPC takes the guesswork out of quality control. Statistical Process Control (SPC) is a scientific, data-driven methodology for quality analysis and improvement. It is used to detect and prevent problems as early as possible in the production process. By collecting data from samples at various points within the process, variations in the process that may affect the quality of the end product or service can be detected early and corrected. Early detection helps to reduce waste and avoid passing defective products to your customer.
What are the benefits of SPC
- Reduce Costs
- Increase Profits
- Reduce Defects and Scrap
- Improve productivity
- Uncover hidden process performance issues
- React sooner to process changes
- Make quicker real-time production decisions
Training for SPC
RMP Consultancy conducts training in statistical process control with some of the biggest companies and organizations in the Philippines.
RMP Conducts SPC Training for PISI
The Statistical Process Control Training Basic Course for the Philippine Iron and Steel Institute was conducted by Rafael Pefianco of RMP Consultancy at the Drake Room of the Discovery Suites in Ortigas Center last 18 to 19 September 2015. The course was attended by staff from the company members of the Philippine Iron and Steel Institute. The institute is the premier organization that represents the country’s iron and steel industry.
Statistical Process Control (SPC) is a very effective method of quality control using statistical methods. It is used to detect and prevent problems as early as possible in the production process. By collecting data from samples at various points within the process, variations in the process that may affect the quality of the end product or service can be detected early and corrected. Early detection helps to reduce waste and avoid passing defective products to your customer.
SPC methods also provide the quality assurance (QA) professional with a powerful set of tools for the analysis of production data. He can then isolate and quantify the problems identified and begin to determine possible steps towards problem resolution.
The training introduced the staff to the concepts of SPC and it also provided them with practical practice sessions using spreadsheet software as well as Freeware and Commercial Software. Rafael Pefianco of RMP Consultancy coached the participants on how to use spreadsheet software to analyze data.
Upcoming SPC, 7 QC Tools, 8D Problem Solving & Decision Making, FMEA and Root Cause Analysis (RCA)13 Mar 2019, Wednesday, Focused Improvement: The 7 Quality Control Tools,
14 Mar 2019, Thursday, ROOT CAUSE ANALYSIS - Understanding and Effectively Applying it (2 Days),
14 Mar 2019, Thursday, Statistical Process Control (SPC) Training - 2 Days,
28 Mar 2019, Thursday, FMEA (Failure Modes and Effects Analysis) 2 Days,
Register for one of the Seminars Above
Register for the Seminar
RMP Consultancy Seminars are available in the following formats:
- Public Seminar at our training center in Quezon City Philippines
- In-House (at your site) Workshop Format for a Max of 25 pax (Recommended)
- Special Exclusive Run
- One-on-one Coaching
Please Call Marco, Claire or Danny:
Landlines: Tel (632) 697-0767, Tel (632) 579-0233
Mobile (Globe) 0917-882-5578, Mobile (Smart) 0920-918-7358
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