This course unit covers 100 hours, from which 14 hours lectures, 14 hours lab work, and 72 hours individual study and work.
Specific Objectives / Learning Outcomes
The specific objectives of the Digitalization of Supply Chains course are as follows:
- Comprehend Key Concepts and Principles: Students will gain an in-depth understanding of the fundamental concepts and principles that govern industrial supply chains. This includes a focus on the architecture of distribution networks and the various modes of communication integral to effective supply chain management.
- Analyze Threats and Perform Risk Assessments: The course will equip students with the analytical skills necessary to assess the threat landscape specific to industrial distribution networks. Students will learn to perform detailed risk assessments, identifying potential disruptors that could impact the efficiency and security of the supply chain.
- Utilization of Tools and ERP Systems: Students will learn how to effectively use various tools and techniques, particularly dedicated Enterprise Resource Planning (ERP) systems, to streamline activities within distribution chains. This objective focuses on the practical application of technology to optimize supply chain processes.
- Implement AI and IoT Technologies: A significant part of the course is dedicated to teaching students about the implementation and use of Artificial Intelligence in conjunction with Internet of Things (Industrial IoT) technologies. This includes the use of RFID smart labels, SMART scales, and scanners for efficient data acquisition processes within distribution chains.
- Understand Emerging Trends and Future Directions: Finally, students will explore and gain knowledge about the emerging trends and potential future advancements in streamlining industrial supply chains. This objective aims to prepare students to be forward-thinking and adaptable to future developments in the field.
These specific objectives collectively aim to provide a comprehensive, practical, and forward-looking educational experience, preparing students to effectively manage and innovate in the field of industrial supply chain digitalization.
Alignment to Social and Economic Expectations
Unit 1: Introduction to Supply Chains Field (2 hours)
- Comprehensive overview of the supply chain field, including fundamental concepts and historical evolution.
- Examination of key components and functions of modern supply chains in various industries.
- Interactive discussion on the significance of efficient supply chain management in contemporary industrial operations.
Unit 2: Architecture and Communication Channels in Supply Chains (2 hours)
- Detailed exploration of the architecture of supply chains, focusing on structural design and operational flow.
- Analysis of various communication channels used in supply chains and their impact on efficiency and transparency.
- Case studies on successful supply chain architecture and communication strategies in leading industries.
Unit 3: Identifying, Analyzing, and Countering Disruptive Factors in Industrial Supply Chains (2 hours)
- Introduction to common disruptive factors in industrial supply chains and their potential impacts.
- Techniques and methodologies for analyzing and identifying risks and vulnerabilities in supply chains.
- Strategies and best practices for countering disruptions, including contingency planning and risk mitigation.
Unit 4: Use of Software Platforms Specific to Supply Chain Management (2 hours)
- Overview of specialized software platforms used in supply chain management, including ERP systems.
- Demonstration of key features and capabilities of various supply chain management software.
- Practical session: Students engage in a simulated exercise using a supply chain management software platform.
Unit 5: Implementation of SMART Equipment in the Data Acquisition Process Needed in Supply Chain Management (2 hours)
- Introduction to SMART equipment (e.g., IoT devices, RFID technology) and their roles in data acquisition.
- Case studies demonstrating the integration and benefits of SMART equipment in supply chain management.
- Hands-on workshop: Students participate in a practical exercise involving the setup and use of SMART data acquisition tools.
Unit 6: The Use of Artificial Intelligence in Essential Activities of Supply Chains (2 hours)
- Exploration of AI applications in key areas of supply chain management, such as forecasting, optimization, and error reduction.
- Discussion on the transformational impact of AI on supply chain efficiency and decision-making.
- Group activity: Students analyze real-world scenarios where AI significantly improved supply chain operations.
Unit 7: Future Trends in the Process for the Digitalization of Supply Chains (2 hours)
- Presentation on emerging trends and future developments in the digitalization of supply chains.
- Discussion on the potential impact of new technologies and methodologies on supply chain management.
- Brainstorming session: Students explore and present ideas on future innovations in supply chain digitalization.