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Internship Statistical Process Control Jobs in Illinois

Kraft Heinz Company

Sr. Analyst, Quality

Glenview, IL · On-site

$89K - $112K/yr

Apply Statistical Process Control (SPC) techniques to monitor process performance, identify trends, and make data-driven decisions for process optimization. Job Qualifications:** * Bachelor's degree ...

J L CLARK INC

Process Engineer-Plastics

Rockford, IL

Proficiency in statistical process control and root cause analysis. * Proficient in Microsoft Office and familiar with ERP and MES systems. RELATIONSHIPS: All employees-all departments SUPERVISORY ...

JL Clark

Process Engineer-Plastics

Rockford, IL · On-site

$65K - $70K/yr

Proficiency in statistical process control and root cause analysis. * Proficient in Microsoft Office and familiar with ERP and MES systems. RELATIONSHIPS: All employees-all departments SUPERVISORY ...

Entegris

Senior Control Systems Engineer

Aurora, IL · On-site

$165K - $171K/yr

... Systems, statistical process control, and automation of process data collection and analysis. What You'll Do: Drive a "Safety First" culture by performing equipment, process, and behavioral ...

Entegris

Senior Control Systems Engineer

Aurora, IL · On-site

$166K - $172K/yr

... Systems, statistical process control, and automation of process data collection and analysis. What You'll Do: Drive a "Safety First" culture by performing equipment, process, and behavioral ...

Entegris

Senior Control Systems Engineer

Aurora, IL · On-site

$165K - $171K/yr

... Systems, statistical process control, and automation of process data collection and analysis. What You'll Do: Drive a "Safety First" culture by performing equipment, process, and behavioral ...

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Internship Statistical Process Control information

What are the key skills and qualifications needed to thrive as an Internship Statistical Process Control, and why are they important?

To thrive in an Internship for Statistical Process Control, you need a solid understanding of statistics, data analysis, and quality management principles, typically gained through coursework in engineering or a related field. Familiarity with statistical software such as Minitab, Excel, or JMP, as well as knowledge of SPC charts and quality systems, is commonly expected. Attention to detail, problem-solving skills, and effective communication enable interns to analyze data accurately and work collaboratively within teams. These skills are vital for identifying process improvements, ensuring product quality, and supporting efficient manufacturing operations.

What is an Internship in Statistical Process Control?

An Internship in Statistical Process Control (SPC) is a temporary, hands-on work experience where interns learn to monitor and improve manufacturing or business processes using statistical methods. Interns typically collect data, analyze process performance, and help identify areas for improvement using SPC tools like control charts and process capability analysis. This internship is valuable for students or recent graduates interested in quality assurance, process engineering, or data analysis, providing practical exposure to real-world applications of statistics in industry.

What types of projects can I expect to work on during an Internship in Statistical Process Control?

As an intern in Statistical Process Control (SPC), you will typically assist with collecting and analyzing production data to monitor and improve manufacturing processes. Common projects include implementing control charts, conducting process capability studies, and collaborating with cross-functional teams to identify process variations and recommend improvements. You may also be involved in preparing reports, presenting findings to supervisors or engineers, and supporting ongoing quality assurance initiatives. These experiences provide valuable hands-on exposure to real-world problem-solving and teamwork within a manufacturing or quality-focused environment.

What is the difference between Internship Statistical Process Control vs Quality Control Intern?

AspectInternship Statistical Process ControlQuality Control Intern
CertificationsBasic knowledge of SPC tools, statistical methodsUnderstanding of quality standards, inspection techniques
Work EnvironmentManufacturing, production lines, data analysisInspection labs, production facilities, quality departments
Industry UsageManufacturing, automotive, electronicsManufacturing, consumer goods, pharmaceuticals

Internship Statistical Process Control focuses on analyzing data to monitor and improve manufacturing processes using statistical methods. In contrast, a Quality Control Intern primarily inspects products and ensures quality standards are met. Both roles are essential in manufacturing industries but differ in their focus—SPC emphasizes data analysis and process improvement, while QC emphasizes product inspection and compliance.

What are the most commonly searched types of Statistical Process Control jobs in Illinois? The most popular types of Statistical Process Control jobs in Illinois are:
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Internship Statistical Process Control jobs near you
Process Engineer - Plastic Injection Molding

Process Engineer - Plastic Injection Molding

NOW Hiring Heroes

Rockford, IL • On-site

$65K - $70K/yr

Other

Posted 3 days ago

Job description

Process Engineer - Plastic Injection Molding
Location: On-Site Manufacturing Facility
Employment Type: Full-Time
Compensation: $65k - $70k
Industry: Manufacturing / Plastics / Packaging
Position Overview
A growing manufacturing organization is seeking an experienced Process Engineer with plastic injection molding expertise to support high-volume production operations. This role focuses on developing, optimizing, and troubleshooting injection molding processes to ensure efficient, consistent, and high-quality manufacturing output.
The Process Engineer works closely with process technicians, tooling teams, maintenance, quality, and production leadership to improve cycle times, reduce scrap, increase uptime, and support continuous improvement initiatives.
This position also plays a key role in new product launches, equipment upgrades, and automation integration within a fast-paced manufacturing environment.
Key Responsibilities
Injection Molding Process Development
  • Develop, document, and optimize plastic injection molding processes for new and existing molds
  • Provide technical guidance to process technicians and molding operators
  • Troubleshoot molding defects, process instability, and equipment performance issues
  • Improve cycle times, scrap reduction, and process repeatability
  • Support mold trials, machine startups, and process validation
Manufacturing Process Improvement
  • Analyze production data and implement improvements to increase efficiency and OEE
  • Lead process validation activities including DOE, IQ/OQ/PQ, and capability studies
  • Identify opportunities for cost reduction and manufacturing efficiency
  • Participate in Lean Manufacturing and Six Sigma initiatives
Cross-Functional Collaboration
  • Work closely with tooling, quality, maintenance, and operations teams
  • Support preventive and predictive maintenance strategies
  • Evaluate mold performance and recommend tooling improvements
  • Assist project teams with new product introductions
Automation & Equipment Integration
  • Support integration of molding cells with robotics, vision inspection, and automated packaging systems
  • Assist with installation and commissioning of molding machines and auxiliary equipment
  • Identify automation opportunities to improve production efficiency
Required Qualifications
  • Bachelor's Degree in Plastics Engineering, Mechanical Engineering, Manufacturing Engineering, or related field (or equivalent experience)
  • 5+ years of experience in plastic injection molding manufacturing
  • Experience with high-speed injection molding processes
  • Experience developing scientific molding processes
  • Experience conducting Design of Experiments (DOE)
  • Experience troubleshooting molding processes and mold issues
  • Strong understanding of Statistical Process Control (SPC)
Preferred Qualifications
  • Experience with thin-wall packaging applications
  • Lean Manufacturing or Six Sigma certification
  • Continuous Improvement Green Belt certification
  • Training in Scientific Molding or RJG technology
  • Experience integrating robotics or automated production systems
  • Experience working in regulated manufacturing environments
Technical Skills
  • Knowledge of polypropylene, polyethylene, and other packaging resins
  • Strong understanding of OEE metrics and process improvement
  • Experience performing root cause analysis and process troubleshooting
  • Proficiency with Microsoft Office
  • Familiarity with ERP or MES manufacturing systems
Why This Role
  • Work in a modern manufacturing environment
  • Opportunity to lead process improvement initiatives
  • Exposure to high-speed production and advanced automation
  • Impact production efficiency, quality, and operational performance

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