1. Course Title: Fundamentals of Supply Chain – Course Code: 0331201

This course aims to introduce students to the fundamentals of supply chains, operations management, and the SCOR model at an introductory level. It provides an overview of operations strategies, structural and infrastructural elements, balancing performance dimensions, success factors, and alignment stages with business strategy.

Additionally, the course covers how to select processes and make distribution planning decisions in manufacturing and services. Topics include manufacturing operations, product allocation within the supply chain, service operations, and distribution planning models.

Focus is placed on business processes by enhancing them, process mapping, measuring and improving business processes, and addressing related challenges. The course also covers quality management processes, emphasizing statistical quality control and quality management across the supply chain. Capacity management topics include methods for evaluating capacity alternatives and understanding and analyzing process capacity.

 

2. Course Title: IT Communication Skills – Course Code: 0331301

The Information and Communication Technology course aims to introduce students to the essential role of ICT in enhancing operational efficiency and driving innovation across various sectors. The course emphasizes the significance of digital systems in improving work environments and competitive strategies. Topics covered include ICT fundamentals, cybersecurity for data protection, and the ethics of technology use to ensure responsible practices.

The course also explores basic networking concepts such as IP addressing and routing, as well as applications of artificial intelligence to improve communication. Technologies like 5G and their impact on communication speed and reliability are discussed. Additionally, the course provides practical training on internet usage and software to enhance technical skills. The goal is to raise students’ awareness of digital transformations and their impact on future careers.

 

3. Course Title: Using Data for Supply Chain Management – Course Code: 0331302

This course aims to introduce students to the vital role of data in improving supply chain efficiency through data analysis and its use in supporting strategic decision-making. The course covers various topics, including descriptive and predictive data analysis using software tools such as Excel, Power BI, and Python, as well as exploring the applications of big data and artificial intelligence in inventory management, distribution, and process optimization.

The course also highlights the importance of data mining for understanding patterns and forecasting demand, and discusses risk mitigation strategies through data analysis. Ethical considerations in data usage are addressed, with a focus on privacy and information protection. The course includes practical examples and case studies demonstrating the impact of data use on improving supply chains, enhancing students’ understanding of the latest technological developments in this field and their role in boosting competitiveness in the business environment.

 

4. Course Name: Operations Research in Logistics Management – Course Code: 0332501

This course aims to equip students with the knowledge and analytical skills necessary to improve decision-making and efficiently manage logistics operations. The course covers demand forecasting as a key tool for precise business planning, decision theory for analyzing optimal choices, and game theory to understand strategic interactions and achieve equilibrium in competitive decisions. It also discusses mathematical models such as linear programming using graphical methods and the simplex method, with a focus on sensitivity analysis to understand the impact of changes, and duality to analyze the relationships between objectives. The course further addresses transportation models to optimize resource distribution, assignment problems for effective task allocation, as well as project management techniques such as the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT) for time estimation, task scheduling, and resource allocation. The course seeks to develop students’ ability to evaluate project progress and analyze risks using quantitative and qualitative tools, with practical applications and case studies that help them link theoretical concepts to real-world practices, enhancing operational efficiency and reducing time and material costs in business environments.

 

5. Course Name: Production and Operations Management – Course Code: 0332101

 

This course aims to provide students with a comprehensive understanding of the role of production in improving efficiency and reducing costs within global supply chains. It focuses on managing material flow, inventory levels, and production costs through modern control systems such as pull systems. The course covers operational planning, including demand forecasting, capacity planning, aggregate resource planning, Material Requirements Planning (MRP), Manufacturing Resource Planning (MRP II), and calculating the economic production quantity. It also addresses various topics such as process design, from product design and its lifecycle to selecting and planning operations. The course covers production planning and control through scheduling, simulation, achieving balance in production lines, and optimizing resource allocation. It emphasizes techniques such as Lean production, Just-In-Time (JIT) production, transportation models, and linear programming. The course also includes project management topics such as planning, project lifecycle, Gantt charts, Program Evaluation and Review Technique (PERT), and Critical Path Method (CPM), with a focus on practical applications to improve performance and productivity.

 

 

 

6. Course Name: Warehouses and Inventory Management – Course Number: 0332102

This course aims to introduce students to the role of warehouses and inventory management in improving supply chain efficiency. Topics covered include different types of warehouses, such as general and private warehouses, and inventory types like raw materials and finished products. Emphasis is placed on warehouse design, planning, and location to minimize costs and optimize operations. Core processes such as storage and order picking are taught using Warehouse Management Systems (WMS) and modern technologies like RFID. The course discusses inventory management strategies such as ABC analysis and Economic Order Quantity (EOQ), along with inventory optimization strategies like postponement. It also includes human resource management in warehouses, focusing on safety standards and the use of Key Performance Indicators (KPIs) to analyze efficiency. Strategies like outsourcing and future trends such as automation and artificial intelligence are presented, along with practical applications to enhance understanding.

 

7. Course Name: Transportation and Distribution Management – Course Code: 0332103

This course aims to introduce students to the vital role of transportation in supply chains and its impact on the global economy and international trade. It covers various transportation modes, including land, air, sea, and pipelines, with a focus on the importance of each mode in improving the efficiency of goods transportation. The course discusses the influence of infrastructure and public policies on the transport sector, alongside pricing strategies and cost calculations to optimize performance. It also covers transport risk management through alternative planning and route diversification. The course emphasizes global planning using multimodal transport and technologies such as artificial intelligence and blockchain. It also examines the role of third-party logistics (3PL) providers and modern trends like autonomous vehicles, with practical applications to analyze challenges and propose innovative solutions.

 

8. Course Name: Designing Logistics Network – Course Code: 0332104

This course aims to equip students with the skills and knowledge necessary to design and optimize logistics networks efficiently to support supply chains. It covers the fundamental components of networks, including the selection of facility locations such as factories and warehouses, transportation and inventory management, and distribution strategies, with an emphasis on balancing cost reduction with service level improvement. The practical steps for network design are studied, starting with market needs analysis and determining optimal network configurations using modeling and optimization techniques such as linear programming. The course also addresses the impact of design decisions on the overall performance of supply chains, focusing on challenges faced by traditional networks and those associated with online retail. It explores how modern technologies, such as big data and predictive models, can be used to develop flexible and adaptable networks that respond to changes in demand and supply. The course relies on case studies and practical exercises, allowing students to assess current networks and design innovative solutions to improve them, achieving operational efficiency and enhancing competitiveness in the global business environment.

 

9. Course Name: Logistics System Models – Course Code: 0332105
   This course aims to provide a comprehensive understanding of the role of logistic models in improving business strategies, enhancing financial performance, and key performance indicators. It also seeks to enable students to develop solutions that enhance efficiency and competitiveness in the global business environment.
   The course covers the basic components of logistics, starting from demand management using forecasting techniques and time series analysis, to improving customer service. It focuses on the selection of logistics facility locations such as warehouses and distribution centers using quantitative models to balance costs and service levels.

The course includes the design of logistics networks and the importance of multimodal transportation in improving the flow of goods, with cost and time analysis to select optimal patterns. It also addresses managerial issues such as cost management, labor, technology, and international regulations. Modern trends like artificial intelligence, blockchain technologies, and drones are highlighted for improving efficiency and reducing risks.

 

10. Course Name: Supply Chain Integration – Course Code: 0333202

This course aims to provide students with a comprehensive understanding of supply chain integration, which is a process designed to improve the efficiency and effectiveness of supply chain operations by aligning various elements within the supply chain network. This process seeks to streamline operations, reduce costs, and enhance overall performance. The course covers strategic, tactical, and operational levels, with a focus on leveraging technology and data-driven solutions.
The course explores the basic concepts and principles of supply chain management, analyzing various supply chain configurations, and emphasizing the importance of collaboration with suppliers, partners, and customers. It also examines the use of data analytics for informed decision-making, demand forecasting, inventory management, supplier relationship management, lean and agile supply chain strategies, risk management, sustainability, ethical considerations, global supply chain integration, performance metrics, and continuous improvement.

 

11. Course Name: Logistics Operations Management – Course Code: 0333203

This course aims to provide students with an understanding of the coordination and planning of activities that ensure the effective flow of goods, services, and information. The course covers inventory management, transportation planning, warehouse operations, and supply chain optimization. It seeks to give students a deep understanding of the logistics field, its historical context, and its modern applications in military, humanitarian, and commercial sectors, in addition to key functions such as force buildup and medical treatment.

The course also addresses planning, information needs, forecasting logistics requirements, insurgency logistics, counterinsurgency logistics, humanitarian logistics, visual network models, and the importance of flexibility in logistics operations. It reviews critical functions within logistics, such as force buildup and medical treatment. The course aims to provide an in-depth understanding of logistics operations management and its applications across various sectors.

 

12. Course Name: Evaluating and Improving Supply Chain- Course Number: 0333204

This course aims to provide students with a comprehensive understanding of supply chain effectiveness and its impact on achieving competitive advantage. The course focuses on the interaction between key elements such as financial resources, information flow, strategic alignment, operational efficiency, supplier and customer relationships, and stakeholder interests, as well as their societal impact. The course addresses the challenges faced by managers in designing effective supply chain models, with a focus on chain competitiveness, performance evaluation, and dynamics within global contexts, particularly in manufacturing sectors in developing and export-oriented countries. Topics include regression analysis, factor analysis, and multivariate techniques to improve supply chain efficiency.

The course also covers key areas such as risk management, verification of latent variables, regional dynamics, and manufacturing practices, providing students with the knowledge and tools to analyze and develop supply chains in diverse environments.

 

13. Course Name: Global Supply Chain Management – Course Number: 0333205

This course aims to provide students with knowledge about global supply chain management and risk mitigation strategies, equipping them with the skills needed to understand the complexities of organizations involved in manufacturing and distribution. Despite the challenges posed by global competition, the course highlights methods for improving production efficiency, product quality, cost management, and delivery performance. It also offers innovative solutions for enhancing global supply chains, covering essential areas such as customer service, inventory planning, transportation, and warehousing. The course further discusses critical topics such as uncertainty in exchange rates and real options evaluation, while exploring optimal production cycles and the importance of maximizing real options.

 

14. Course Name: Managing Supply Chain Relationship – Course Number: 0333206

This course aims to provide students with a deep and comprehensive understanding of the dynamics of relationships between different parties in supply chains, with a focus on building effective strategic partnerships that enhance operational integration and efficiency. The course covers key topics related to the development of Supplier Relationship Management (SRM) systems and Customer Relationship Management (CRM), as well as collaborative strategies that contribute to creating mutual value. It also addresses the role of modern technologies such as artificial intelligence and big data analytics in improving relationship management and strategic decision-making. Additionally, the course emphasizes the formulation of logistics contracts and agreements to ensure rights and responsibilities, as well as conflict management through negotiation and arbitration tools. Furthermore, it raises student awareness of the importance of integrating sustainability practices and social responsibility into logistics relationships, promoting long-term supply chain sustainability. Through real-world case studies and practical models, students are trained to analyze challenges and develop innovative solutions for managing relationships in supply chains, preparing them to excel in complex business environments.

 

15. Course Name: Supply Chain Operations – Course Number: 0333207

This course aims to develop students’ abilities in analyzing the operational processes of supply chains, with a focus on improving efficiency, reducing costs, and enhancing operational flexibility. The course includes studying the flow of materials and information between suppliers and customers using modern techniques such as Lean Manufacturing and Six Sigma to improve productivity and reduce waste.

The course covers process planning techniques using Enterprise Resource Planning (ERP) systems, with a focus on scheduling and performance monitoring. It also includes inventory management through models such as Economic Order Quantity (EOQ) and Just-In-Time (JIT) inventory, along with demand forecasting techniques to optimize inventory levels and ensure customer needs are met.

Operational integration is enhanced using technology to link suppliers and customers and adapt to market fluctuations. The course highlights operational risk management, presenting strategies to ensure the continuity of operations in the face of challenges.

 

16. Course Name: IT Logistics Applications – Course Number: 0333303

This course aims to explain the impact of technology on managing logistics operations, focusing on its implications, trends, and practical applications. The course provides real-world examples and practical experiences with technological tools, allowing students to critically assess the risks and benefits of these technologies in supply networks. It also equips students with the knowledge and skills needed to adapt to the rapidly evolving technological landscape, enabling them to enhance supply chain efficiency, cost-effectiveness, and competitiveness.

Topics covered in the course include the history and trends of technology in logistics, innovations in healthcare logistics, new container designs, and digital developments in transportation. Additionally, the course reviews the role of Internet of Things (IoT) sensors in supply chain visibility, challenges, and strategies for successfully implementing information technology in logistics, and emerging technologies such as 3D printing, drones, and autonomous vehicles. The integration of blockchain technology, IoT, cybersecurity, virtual reality, and machine learning is also discussed, with a focus on how these innovations transform logistics by improving data protection, access control, incident response, and overall supply chain operations.

 

17. Course Name: Reverse Logistics Management – Course Number: 0334401

This course aims to provide students with a comprehensive understanding of managing and improving reverse logistics processes, focusing on product returns from customers, enhancing sustainability, and keeping up with emerging industry trends. The course highlights the application of circular economy principles to improve the supply chain, reduce costs, and enhance operational efficiency.

Key topics include: the concept of reverse logistics, product return management, remanufacturing and refurbishing processes, sustainability and environmental responsibility, technological integration, legal and ethical considerations, financial analysis, and circular economy practices. The course also examines real-world applications and future trends in reverse logistics, with an emphasis on the importance of effective communication and collaboration between suppliers and customers.

 

18. Course Name: Green Supply Chain – Course Number: 0334402

This course aims to provide students with knowledge about the principles and practices of Green Supply Chain Management (GSCM), focusing on integrating sustainability into various stages of the supply chain. Students will be introduced to the Green Supply Chain framework, with an emphasis on the transition from traditional supply chains to green supply chains through the Green SCOR model. The course also covers key concepts such as the life cycle-based approach to green supply chains, environmental design principles, and the importance of strong supplier relationships to achieve a sustainable supply chain.

The course also covers green transportation, distribution, and green packaging practices, in addition to the closure process through reverse logistics. It highlights the importance of decision-making in the green supply chain and the technologies that influence both marketing and supply chain management within the context of sustainability.

 

19. Course Name: Human Logistics and Supply Chain – Course Code: 0334403

This course aims to provide students with knowledge of the principles, strategies, and challenges of managing supply chains in humanitarian contexts. It focuses on the role of strategic partnerships and humanitarian collaboration, analyzing their components and importance in relief efforts. Students will gain insights into the planning of humanitarian supply chains.

The course offers advanced tools such as value chain analysis to assess humanitarian supply chain strategies, and explores the design of supply chains after disasters, drawing lessons from housing reconstruction projects. Topics include local sourcing in peacekeeping missions, the involvement of military forces in humanitarian supply chains, and the challenges and opportunities related to civil-military cooperation. It also primarily focuses on building and maintaining trust in rapidly formed relief networks and addressing obstacles to implementing sustainable and environmentally friendly practices.

 

20. Course Name: Supply Chain Insurance and Risks – Course Number: 0334404

This course aims to develop students’ abilities to identify, analyze, and manage risks faced by supply chains, with a focus on ensuring operational continuity and reducing negative impacts. The course covers various types of risks, including operational risks such as transportation delays and equipment failures, financial risks such as price fluctuations, and geopolitical and natural risks like disasters and wars.

Students will learn to use advanced tools for risk assessment, such as Risk Assessment Frameworks and Monte Carlo Simulation, to analyze scenarios and predict their impacts. The course also covers risk management strategies such as supplier diversification, geographic storage, emergency planning, and insurance contracts to protect the supply chain.

The course highlights the use of modern technologies such as artificial intelligence to analyze big data and improve risk prediction, and blockchain technology to enhance transparency and security. The theoretical knowledge is supported by practical case studies, such as how major companies responded to the challenges of the COVID-19 pandemic, equipping students with the skills to apply proactive solutions that ensure flexibility and sustainability in dynamic and complex environments.

 

21. Course Name: Continuous Improvement Applications Course Number: 0334304

This course aims to prepare students to apply modern strategies and techniques to analyze and improve operational processes in supply chains using precise tools and methodologies. The course focuses on principles of continuous improvement, such as Lean Manufacturing and Six Sigma, with an analysis of current processes to identify waste and constraints. It discusses how to design new operational processes based on data and statistical analysis to enhance productivity and reduce costs.

The course also includes the application of predictive analytics and big data to improve forecasting and make decisions based on accurate information. Additionally, it focuses on practical applications such as optimizing order cycles, reducing waiting times, and increasing inventory efficiency, while fostering a culture of continuous improvement within organizations.