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  3. Manufacturing System Analysis

Manufacturing System Analysis

This course explores Manufacturing Systems Analysis, providing essential knowledge and skills for professionals and enthusiasts. Participants learn core concepts, applications, and optimization strategies through theory and practical exercises.

Mustafa Bayülgen
Mustafa Bayülgen
Business | core | 4 hours |   Published: Jun 2024
In partnership with: Coursera

    Discussions

Overview

1KSTUDENTS*
95.6%RECOMMEND*

This course includes:

  • 4 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

Unlock the secrets to manufacturing efficiency with our Manufacturing Systems Analysis course. Designed for both beginners and intermediate learners, this course offers a blend of theory and practice, covering foundational concepts, practical applications, and real-world examples. Structured to guide participants from basics to advanced strategies, the course employs interactive video lectures, case studies, and application exercises. Gain essential skills in critical analysis, strategic tool application, communication, and problem-solving. Ideal for Manufacturing Managers, Engineers, Operations Managers, and Supply Chain Professionals, this course enhances proficiency in process optimization. While familiarity with manufacturing principles is recommended, prior knowledge of data analysis concepts is not mandatory. Join us for an immersive learning experience that unleashes the potential of Manufacturing Systems Analysis, propelling your career forward in the dynamic manufacturing industry.

Skills You Will Gain

Manufacturing Efficiency
Process Optimization
Professional Development
Strategic Tool Application
Theory and Practice

Learning Outcomes (At the end of this program you will be able to)

  • Describe (LOTS) the foundational principles of Manufacturing Systems Analysis and its relevance in industry. 
  • Explain (LOTS) how Manufacturing Systems Analysis influences operational dynamics and decision-making. 
  • Evaluate (HOTS) analytical tools for their applicability in specific manufacturing scenarios. 
  • Synthesize (HOTS) strategies to optimize manufacturing processes using advanced analytical techniques. 

Prerequisites

Participants benefit from a basic understanding of manufacturing principles and optional familiarity with data analysis concepts.

 

 

 

Who Should Attend

  • Manufacturing Managers and Professionals
  • Process Engineers
  • Industrial Engineers
  • Operations Managers
  • Supply Chain Professionals

Curriculum

Instructors

Frequently Asked Questions

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Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1.1: Overview of Manufacturing Systems
2Module 1.2: System Dynamics in Manufacturing
3Module 1.3: Metrics and Key Performance Indicators (KPIs) in Manufacturing
4Module 2.1: Lean Manufacturing Principles
5Module 2.2: Six Sigma Methodology in Manufacturing
6Module 2.3: Technology Integration in Manufacturing Systems Analysis
7Module 3.1: Developing a Manufacturing Systems Analysis Strategy
8Module 3.2: Change Management in Manufacturing Systems Analysis
9Module 3.3: Continuous Improvement Culture in Manufacturing
10Module 4.1: Simulation and Modeling for Advanced Analysis
11Module 4.2: Integration of Artificial Intelligence in Manufacturing Systems Analysis
12Module 4.3: Sustainability in Manufacturing Systems Analysis
Mustafa Bayülgen

Mustafa Bayülgen

Mustafa Bayülgen is a seasoned logistics and supply chain professional with over 17 years of industry experience. Throughout his career, he has developed deep expertise in optimizing inventory and warehouse operations, streamlining logistics processes, and driving overall supply chain efficiency. His commitment to simplifying complexities in data management systems aligns seamlessly with the principles of Industry 4.0, where precision, automation, and real-time insights are essential.

Keenly focused on delivering measurable impact, he has consulted for manufacturers, retailers, and logistics service providers—helping them achieve greater competitiveness, sustained growth, and improved profitability. His core competencies include inventory optimization, warehouse layout planning, transportation management, and logistics network design. He is also experienced in mitigating supply chain risks and enhancing supplier relationships, having led initiatives in supplier selection, development, and evaluation.

Beyond his professional accomplishments, Mustafa Bayülgen is passionate about teaching and knowledge-sharing. As an instructor on platforms such as LinkedIn, he combines theoretical frameworks with practical insights to foster continuous learning and improvement across the global supply chain community. His academic foundation includes an MBA in Logistics and Operations Management from Penn State University, along with a TESOL certification, reflecting his interdisciplinary approach to communication and education.

Outside the world of logistics, he is an avid amateur pianist who shares his musical expressions under the name "PianoLane" on YouTube. His solo piano performances reflect a deep appreciation for harmony and discipline—values that resonate in both his musical and professional life.

Through publications and presentations focused on inventory optimization and logistics efficiency, Mustafa Bayülgen continues to influence and inspire within the ever-evolving field of supply chain management.

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Segment 01 - Introduction to the course & instructor

Segment 02 - Introduction to Manufacturing Systems

Segment 03 - Types of Manufacturing Systems

Segment 04 - Importance of System Analysis in Manufacturing

Segment 05 - Introduction to System Dynamics 

Segment 06 - Modeling Manufacturing Systems

Segment 07 - Modeling Examples

Segment 08 - Identifying Key Metrics for Manufacturing Systems 

Segment 09 - Implementing KPIs for Process Improvement

Segment 10 - Case Studies on KPI Implementation

Segment 14 - Overview of Six Sigma in Manufacturing

Segment 15 - DMAIC Process in Six Sigma

Segment 16 - Case Studies on Six Sigma Success

Segment 11 - Introduction to Lean Manufacturing

Segment 12 - Value Stream Mapping

Segment 13 - Lean Tools and Techniques

Segment 32 - Role of AI in Manufacturing Optimization

Segment 33 - Machine Learning Applications in Manufacturing

Segment 34 - Case Studies on AI Integration

Segment 26 - Building a Culture of Continuous Improvement

Segment 27 - Employee Engagement in Improvement Initiatives

Segment 28 - Measuring the Success of Continuous Improvement

Segment 17 - Role of Technology in Manufacturing Optimization

Segment 18 - IoT and Industry 4.0 in Manufacturing

Segment 19 - A Case Study on Technology-Driven Optimization

Segment 29 - Advanced Simulation Techniques

Segment 30 - Predictive Modeling in Manufacturing

Segment 31 - Real-Time Analytics in Manufacturing Systems

Segment 35 - Environmental Considerations in Manufacturing Analysis 

Segment 36 - Sustainable Practices in Manufacturing

Segment 37 - Balancing Efficiency and Environmental Impact 

Segment 38 - Wrap up and Key takeaways

Segment 20 - Strategic Planning for Manufacturing Systems Analysis 

Segment 21 - Aligning Analysis with Organizational Goals

Segment 22 - Risk Assessment in Implementation

Segment 23 - Managing Change in Manufacturing Systems

Segment 24 - Overcoming Resistance to Change

Segment 25 - A Case Study of a Successful Real World Change Management Example