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[Quality Management Archive] Statistical Process Control (SPC) Essentials

We will introduce the concept of Statistical Process Control (SPC) as a scientific approach for quality improvement and data literacy. Additionally, we have structured this content by integrating data-driven Quality Control (QC) techniques and application methods for reducing process variation with various case studies.

1 learners are taking this course

  • kpcre
spc
공정능력
공정개선
qc
데이터리터러시

What you will learn!

  • You can understand the application procedures of Statistical Process Control (SPC) for process quality management.

  • You can acquire basic statistical knowledge for data-driven process management and improve your quality mindset.

  • You can understand the concepts and application methods of key quality tools required for Statistical Process Control (SPC).

Strengthen job competency through quality management techniques using SPC!


To gain customer trust by producing products of consistent quality, it is necessary to understand the capability status of processes, identify the causes of defects, and improve process conditions.

This course introduces the concepts of Statistical Process Control (SPC) as a scientific approach for quality improvement and data literacy. It also covers data-driven Quality Control (QC) techniques and application methods for reducing process variation, structured with various case studies.


Field-centered education

  • We will provide you with the application procedures of Statistical Process Control (SPC) for process quality management along with various case studies.

  • Acquire foundational statistical knowledge for data-driven process management and learn the essential quality tools needed for Statistical Process Control (SPC).



Presenting key points focused on practical application

  • You can learn by topic through micro-learning focused on core keywords that can be immediately applied in practical work.

Course Outline


  1. The Concept and Application Procedures of SPC

  2. Basic Statistics for Statistical Management

  3. Understanding Control Charts

  4. Utilizing Control Charts (1) Mean and Individual Values

  5. Application of Control Charts (2) Variable Control Charts and Attribute Control Charts

  6. Measurement System Analysis

  7. Process Capability Analysis

  8. Quality and Process Improvement

Presenting differentiated content through recruitment of specialized quality management professors

We recruit specialized quality management professors to provide lectures that carefully select only the core skills required in industrial settings. We have recruited instructors who are highly praised for their in-depth lectures at corporations, public institutions, and universities to present professional and differentiated content.

Director Yoo Seon-woo

Current) Director of Smart Innovation Research Institute

Current) Korea Productivity Center Non-executive Advisory Committee Member

Current) Productivity Management System (PMS) Certification Examiner

Former) Zeus Part-time Advisor

Former) Director under the Korea Procurement and Supply Management Association

Former) Industry-Academia Director of the Korean Society for Production and Operations Management

Former) Senior Expert Advisor, Production Quality Consulting Division, Korea Productivity Center



Recommended for
these people

Who is this course right for?

  • Quality-related (QM, QP, QC, QA, QI) managers and practitioners

  • Production, manufacturing, research and development, indirect department managers and practitioners

  • SPC Field Guidance Personnel and Instructor Personnel

Hello
This is

477

Learners

44

Reviews

1

Answers

4.7

Rating

180

Courses

1987년에 설립된 한국생산성본부 부설기관으로, 기업과 공공기관의 임직원을 대상으로 회사생활에 꼭 필요한 직무교육을 제공하고 있습니다.

실제 기업의 업무에서 일어나는 ‘일’을 바탕으로 실무역량 강화를 위한 직무역량(Job-Duty-Task) 기반의 교육 콘텐츠를 구성했습니다.

차원이 다른 직무교육을 경험해 보세요!

홈페이지 : https://www.kpcice.or.kr

Curriculum

All

24 lectures ∙ (4hr 9min)

Published: 
Last updated: 

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Limited time deal

$57,920.00

34%

$69.30

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