课程简介
Modern Logistics and Supply Chain Management is an international online course launched by Chang’an University. This course is mainly applicable to undergraduate and graduate students majoring in transportation, logistics engineering and logistics management. The main contents include: overview of modern logistics and supply chain management, logistics system, logistics demand forecasting, supply chain information management, artificial intelligence, large data of logistics, supply chain inventory control and logistics cost management, supply chain risk management, logistics and supply chain performance evaluation, etc.
课程大纲
Chapter 1 Overview of modern logistics and supply chain management
1.1 Modern logistics
1.2 Process of modern logistics
1.3 Supply chain management
1.4 Advantages and challenges of SCM
Chapter 2 Supply Chain Management
Chapter 3 Logistics system planning---Warehouse location and layout
3.1 Warehouse location
3.2 Warehouse layout
Chapter 4 The application of artificial intelligence (AI) in logistics
4.1 Introduction to artificial intelligence (AI)
4.2 The application of AI in logistics
Chapter 5 Supply chain risk and emergency logistics
5.1 Supply chain risk and its classification
5.2 Emergency logistics and emergency material scheduling
Chapter 6 Big Data Analytics in Logistics
6.1 Introduction of big data and big data analytics
6.2 Application of big data analytics in logistics and SCM
Chapter 7 Demand Forecast of Supply Chain
7.1 What is demand forecast?
7.2 Basic methods of demand forecast
Chapter 8 Performance Evaluation of Logistics and Supply Chain
8.1 Analytic Hierarchy Process (AHP)
8.2 SCOR
8.3 Balanced Scorecard
Chapter 9 Distribution Optimization
9.1 Modeling of Distribution Optimization
9.2 Algorithms for Distribution Optimization
Chapter 10 Modelling and Simulation for logistics system
10.1 Modelling for logistics system
10.2 Flexsim simulation software
1.1 Modern logistics
1.2 Process of modern logistics
1.3 Supply chain management
1.4 Advantages and challenges of SCM
Chapter 2 Supply Chain Management
Chapter 3 Logistics system planning---Warehouse location and layout
3.1 Warehouse location
3.2 Warehouse layout
Chapter 4 The application of artificial intelligence (AI) in logistics
4.1 Introduction to artificial intelligence (AI)
4.2 The application of AI in logistics
Chapter 5 Supply chain risk and emergency logistics
5.1 Supply chain risk and its classification
5.2 Emergency logistics and emergency material scheduling
Chapter 6 Big Data Analytics in Logistics
6.1 Introduction of big data and big data analytics
6.2 Application of big data analytics in logistics and SCM
Chapter 7 Demand Forecast of Supply Chain
7.1 What is demand forecast?
7.2 Basic methods of demand forecast
Chapter 8 Performance Evaluation of Logistics and Supply Chain
8.1 Analytic Hierarchy Process (AHP)
8.2 SCOR
8.3 Balanced Scorecard
Chapter 9 Distribution Optimization
9.1 Modeling of Distribution Optimization
9.2 Algorithms for Distribution Optimization
Chapter 10 Modelling and Simulation for logistics system
10.1 Modelling for logistics system
10.2 Flexsim simulation software