DRÄXLMAIER Tunisia PFE Book EL JEM SATE

Project Number

Project Name

Description

Tasks

Profile

Required Skills

Number of Interns

Duration

01

Smart Digital Polyvalence Management System

This project aims to develop a Smart Digital Polyvalence Management System to enhance workforce flexibility through real-time skill monitoring, gap analysis, and competency management, supporting Lean manufacturing, Industry 4.0, and continuous improvement.

• Analyze current polyvalence process and competence matrix.
• Map employee skills and qualifications.
• Identify competency gaps and flexibility risks.
• Develop a digital polyvalence matrix and KPI dashboards.
• Implement and validate cross-training and competence improvement actions.

Final-year student  in Industrial Engineering

with Lean Manufacturing focus, Master DATA

Python for data analytics

Microsoft Power Apps / Power Automate

Lean Manufacturing & Continuous Improvement

1

4-6 Months

02

Smart Foaming Excellence Program

The project aims to improve the automotive wiring harness foaming process by increasing machine reliability, stabilizing production, reducing quality defects and material waste, and improving Overall Equipment Effectiveness (OEE) through process optimization, digital monitoring, predictive maintenance, and data-driven decision-making.

• Analyze process performance and identify major losses.
• Optimize machine settings and material consumption.
• Implement real-time monitoring and predictive maintenance.
• Reduce breakdowns and defects through root cause analysis and training.
• Track KPIs and sustain continuous improvement.

Final-year student  in Industrial, Mechanical, Electrical, or Mechatronics Engineering

Microsoft Power Apps / Power Automate

Machine parameters, process optimization

Lean Manufacturing & Continuous Improvement

1

4-6 Months

03

Plant Digital Strategic Workforce Planning

Develop a centralized digital workforce planning tool that automates personnel forecasting, KPI tracking, and scenario analysis, enabling data-driven workforce decisions, improved plant efficiency, and enhanced operational excellence.

•  Analyze the current personnel planning process and identify improvement opportunities.
• Define workforce KPIs, functional requirements, and the future data model.
• Develop a digital workforce planning tool with headcount management and automated calculations.
• Create dashboards, reports, and validate data accuracy through real-world testing.
• Optimize and standardize the solution based on user feedback and best practices.

Final-year student  in IT

Python Power Apps and Data Analytics

1

4-6 Months

04

Digital CIP Academy :Empowering People via Knowledge & Practices

The Digital CIP Academy is a centralized platform for CIP learning, knowledge sharing, and best practices, designed to develop employee skills, support continuous improvement, and drive operational excellence.

•  Assess current CIP training practices and identify organizational learning needs.
• Define the academy structure, learning paths, and develop the digital platform with integrated training content and CIP tools.
• Implement user management, learning tracking, assessment features, and knowledge-sharing capabilities.
• Pilot, evaluate, and optimize the platform based on user feedback, then establish governance and a deployment roadmap.

Final-year student  in IT and multimedia

Web application developpment,IA ,Canva, Audio and video editing, multimedia content creation,Creativity

1

4-6 Months

05

Automation of Mixing Head Positioning and Foaming Dosing by KSK Code Scanning

This project automates the foaming process by scanning KSK codes to automatically select dosing recipes, position equipment, and execute foam injection. The solution improves process reliability, product quality, efficiency, traceability, and reduces manual intervention and operator errors.

•  Analyze the foaming process and define the automation architecture.
•  Develop KSK code identification and automatic recipe management.
• Integrate robot positioning, mixing head movements, and dosing sequences.
• Implement HMI, traceability, alarms, and process validation functions.
•  Perform system testing, validation, training, and project handover.

Final-year student  in Mechatronics

Industrial Automation, PLC Programming, Control Systems, Robotics, and Process Automation

1

4-6 Months

06

Smart Contractor Safety Management System

Develop a Smart Contractor Safety Management System to digitalize compliance, permits, and safety monitoring, improving contractor management, safety performance, and operational efficiency.

• Analyze contractor management processes and compliance requirements.
• Develop a digital contractor qualification and competency management system.
•  Automate safety induction, permit-to-work, and access control workflows. Implement inspections, incident reporting, performance scorecards, and real-time dashboards.
• Deploy QR-code tracking, risk analysis, and continuous improvement processes

Final-year student  in IOT,IT,Data Administatin

Python

Microsoft Power Apps

Power Automate

Power BI

SharePoint / Dataverse

Excel & Power Query

1

4-6 Months

07

Driving Technical Change Across the Production Line

This project aims to develop a centralized PowerApps application that facilitates the planning, tracking, and validation of all tasks related to technical changes on the shopfloor. This digital solution will serve as a collaborative platform for all departments involved in change implementation, ensuring transparency, accountability, and timely execution.

• Identify all departments involved and group tasks by department and project.
• Develop a PowerApps interface for task assignment, filtering, and status tracking.
• Integrate automated notifications and reminders for upcoming task deadlines.
• Monitor task completion, validation compliance, timelines, and user feedback.
• Improve the application based on feedback, train users, and standardize processes across departments.

Final-year student  in Computer science, information system, software engineering or industrial engineering

Microsoft power apps,Power automate,Microsoft Excel,Sharepoint, Dataverse,willingness to learn,analatycal thinking.

1

4-6 Months

08

Digital Management Control Plan (PLP) Project

The Digital Management Control Plan (PLP) aims to digitalize and automate management control processes, improving performance visibility, reporting efficiency, action plan tracking, and data accuracy.

• Analyze the current production staff management system
• Review and evaluate the existing display application
• Define data requirements and system inputs

• Design and develop the requested application
• Test the application through real-time simulations
• Refine the application according to simulation outcomes and user feedback

Final-year student  in IOT,IT,Data Administatin.

Python

Microsoft Power Apps

Power Automate

Power BI

SharePoint / Dataverse

Excel & Power Query

1

4-6 Months

09

Design and Development of a Poka-Yoke System to Prevent Mixed Wires

This project aims to develop a Poka-Yoke solution to prevent wire mix-ups during the feeding process by ensuring reliable wire identification through technologies such as RFID, barcode/QR code scanning, or sensors. The solution will improve quality, traceability, and process reliability while reducing human error.

• Analysis of the Existing Process
• Risk Analysis and Requirements Definition
• Benchmarking and Evaluation of Potential Solutions
• System Architecture and Design
• Prototype Development
• Testing and Technical Validation
• Performance Evaluation and Traceability
• Economic Evaluation and Deployment Roadmap

Final-year student  in Engineering Degree: Electromechanical Engineering / Electrical Engineering / Automation Engineering / Industrial Maintenance Engineering or Industrial Engineering.

Industrial Engineering & Process Analysis -Basic Electronics & Sensors-Automation-Programming Skills-Problem-Solving & Analytical Thinking -Interest in Industry 4.0 & Smart Manufacturing)

1

4-6 Months

10

Deployment of a Combi Line within MR Caddy

Implementation of a Combi Line concept in the MR Caddy production area to achieve greater flexibility, and better use of available production capacity and space.

• Collect and analyze production data (cycle time, manpower, layout, material flow).
• Design the Combi board concept and future-state layout.
• Implement the Combi Line and reorganize workstations and material flow.
• Conduct pilot runs and monitor production performance.
• Update process documentation and establish a continuous improvement plan.

Final-year student  inIndustrial Engineering

Lean Manufacturing (5S, Kaizen, VSM, Line Balancing)

Production Flow Optimization

Ergonomics & Workstation Design

1

4-6 Months

11

AI-Driven Defect Analytics Platform for Quality Assurance

Develop an Intelligent Quality Analytics Platform that transforms defect data into actionable insights using AI, automated reporting, and advanced analytics. The solution will monitor defect trends, detect recurring issues, evaluate corrective actions, and support predictive, data-driven quality management.

• Collect and centralize quality defect data.
• Develop the quality analytics platform and database.
• Implement dashboards, Pareto analysis, and defect trend monitoring.
• Integrate AI-based risk detection and smart quality alerts.
• Evaluate corrective actions, validate, and continuously improve the solution.

Final-year student  in IT,Industrual Engineering

Python

Microsoft Power Apps

Power Automate

Power BI

SharePoint / Dataverse

Excel & Power Query

1

4-6 Months

12

Integrated Risk Matrix Platform (IRMP) for Project Knowledge Management

Develop a centralized B-Teils risk database to consolidate project risks, evaluations, and lessons learned, improving risk management, knowledge sharing, and decision-making.

• Collect and standardize Risk Matrix data from all projects.
• Design and develop a centralized risk management database.
• Implement search, filtering, reporting, and dashboard functionalities.
• Validate data quality and train users on database usage.
• Establish update procedures and continuous improvement processes.

Final-year student  in

IT,Industrual Engineering

Python

Microsoft Power Apps

Power Automate

Power BI

SharePoint / Dataverse

Excel & Power Query

1

4-6 Months

13

AI-Driven Production Planning and Sequencing Application

Develop a smart application that uses Artificial Intelligence to generate optimized production lines schedules. The application will automatically create the best production plan, forecast production plans for the following 3 weeks, and simulate alternative planning scenarios in case of supply disruptions.

• Analyze the current planning process and constraints.
• Collect and integrate forecast, production planning, and modules data.
• Develop the AI-based application and optimization model.
• Generate optimized schedules and alternative planning scenarios.
• Test, validate, and deploy the solution..
  
  

Final-year student  in IA Engineering

AI-based application developpment,Paython,Analatycal thinking,Data analysis

1

4-6 Months

14

Digital Visitor Management

Develop a Digital Visitor Management System to automate visitor registration, tracking, and access management, improving security, operational efficiency, compliance, and real-time visibility of visitor activities.

• Clearly understand the project goals and identify the needs
• Develop data collection methods that are relevant.
•  Analyze requirements and design the system architecture using Power Apps and related technologies.
• Develop, implement, and test the Digital Visitor Management System.
•  Monitor system performance and ensure continuous control and improvement.

Final-year student  in IT

Network,Java,Paython

1

4-6 Months

15

Management Control System

Developing and implementing a Visual Management System to provide a centralized real-time monitoring platform that enables IT Operations teams to visualize, supervise, and manage all production PCs through a single intuitive interface.

• Clearly understand the project goals and identify the needs
• Develop data collection methods that are relevant.
•  Analyze requirements and design the system architecture using Power Apps and related technologies.
• Develop, implement, and test the Digital Visitor Management System.

•  Monitor system performance and ensure continuous control and improvement.

Final-year student  in IT

Network,Java,Paython

1

4-6 Months

16

Employee Management System

The Employee Management System project aims to centralize workforce data into a real-time dashboard, providing visibility on attendance, skills, workstation allocation, and workforce availability to support proactive decision-making and operational excellence.

• Monitor attendance, absenteeism, workforce availability, and shift coverage.
• Track operator allocation, staffing coverage, and workstation occupancy.
• Manage skills, polyvalence, competency gaps, and critical position coverage.
• Monitor operational KPIs through real-time dashboards and alerts.
• Generate workforce reports, trend analysis, and staffing insights for decision-making.

Final-year student  in Industrial Engineering

Advanced Excel and Power BI, Data Analysis & Dashboard Development

Power Apps & Power Automate

1

4-6 Months

17

AI Unified Response Assistant

This project aims to improve the reliability of critical production test stations by providing real-time failure monitoring and diagnostic support. The solution will reduce downtime, accelerate troubleshooting, improve production continuity, and lower maintenance costs through faster and more effective issue resolution.

• Develop a web platform for real-time PTS monitoring, Digital Andon, and automatic ticketing.
• Integrate AI-based failure classification and predictive maintenance capabilities.
•  Implement AI troubleshooting tools and a maintenance Copilot assistant.
• Create KPI dashboards, analytics, and technical documentation.

Final-year student  in Mechatronics Engineering

or Automation Engineering

IT; Python Programming

Analytical Thinking & Problem Solving

2

4-6 Months

18

Foaming Eye Vision: IoT-Based Foaming Machine Performance Tracking System

Develop a digital production monitoring application that automatically collects and displays foaming machine data, providing real-time visibility of machine performance, production output, downtime, OEE, scrap rates, and operator efficiency. The solution will improve traceability, productivity analysis, and decision-making.

• Machine Monitoring 
• Production Output Tracking 
• Downtime Management
• Mold Occupation Rate 
• OEE Calculation 
• Dashboard and Reporting 
• Alerts and Notifications

IT; Python Programming

Analytical Thinking & Problem Solving

2

4-6 Months

IT; Python Programming

Analytical Thinking & Problem Solving

19

Digitization of the training program Qualification tests

This project aims to drive a digital transformation of the training program by converting traditional PowerPoint-based content into an engaging and interactive digital learning experience.

The program will integrate visual storytelling, animations, and interactive features, ensuring the content is both informative and stimulating.

• Define leaner needs, set objectives, design modules, select tools and platforms
• Develop digital content (videos, quizzes, simulations), configure the platform, run pilots
• Gather feedback, measure effectiveness, assess learning outcomes.
• Refine content, standardize best practices, scale and improve continuously.

Master's degree/Engineering Degree: Telecommunication or IT filed

Good English level, good programming and video editing skills

2

4-6 Months