德国汉堡大学Stefan Voß教授
《Computational Logistics》短期授课公告
授课时间：2019年11月25日—12月5日
授课地点：泰山科研楼
课程名称：计算物流
授课安排：
日期/Date | 教学安排/Hours | 教室/Rooms | 内容/Contents |
11.25（Mon） | 18：00-20:25 （4hours） | 科研楼517A | Container Terminals |
11.26（Tue） | 18：00-20:25 （4hours） | 科研楼517A | Maritime Shipping |
11.27（Wed） | 13:10-16:40（4hours） | 科研楼322 | Maritime Shipping |
11.28（Thu） | 18：00-20:25 （4hours） | 科研楼517A | Maritime Shipping |
11.29（Fri） | 13:10-16:40（4hours） | 科研楼322 | Container Terminals |
12.2（Mon） | 18：00-20:25 （4hours） | 科研楼517A | Public Transport |
12.3（Tue） | 13:10-16:40 （4hours） | 科研楼322 | Public Transport |
12.5（Thu） | 8：20-11：50 （4hours） | 科研楼517A | Public Transport |
主讲人简介：
Stefan Voß is professor and director of the Institute of Information Systems at the University of Hamburg. Research interests are in management science and information systems. He authored several books and numerous papers. He holds various editorships including the Annals of Information Systems. He is consulting with several companies.
课程简介：
Computational Logistics involves the use of information systems and modern information and communication technology (IT) for the design, planning and control of logistics networks as well as the complex tasks within them. As the logistics and supply chain management fields are developing very dynamically, related service networks are seeking for improved decision support. While modern IT systems are vital components in supply chains and logistics, their successful management rests on intelligent and coordinated decision making throughout the logistics network. In this tutorial we are providing comprehensive insights into computational logistics. Issues are exemplified by the intensive discussion of case studies from different areas including maritime shipping, seaport container terminals, public transport and postal logistics service providers.
The tutorial/course introduces issues in computational logistics and extends to practical concerns in logistics services and service networks. The objective of the tutorial is to achieve abilities in problem solving and management of systems of computational logistics. The participants learn about the ways of analyzing service oriented logistics and supply chain systems. This will be used to different situations for logistics systems in real-world environments.
To exemplify, we provide some more details regarding the first two application areas mentioned above. The tutorial/course gives insights into issues in models and applications of information systems at seaports and container terminals including intermodal traffic. We discuss various information systems regarding terminal operators, shipping companies etc. The tutorial gives a deeper insight into the design principles of service networks in general and transshipment points in and container terminals in particular. We provide details regarding distribution networks as well. It provides the participants with state of the art optimization models and algorithms which are proven to work well in practice and it finally demonstrates the use of decision support systems to optimize various issues in computational logistics.
欢迎大家来交流。
The short lecture “Computational Logistics” by Professor Stefan Voss
of the University of Harmburg，Germany
Date：November 25,2019 to December 5,2019
Rooms：Taishan scientific research building
Title：Computational Logistics
Lecturer：Professor Stefan Voss
Lecture arrangement：
日期/Date | 教学安排/Hours | 教室/Rooms | 内容/Contents |
11.25（Mon） | 18：00-20:25 （4hours） | 科研楼517A | Container Terminals |
11.26（Tue） | 18：00-20:25 （4hours） | 科研楼517A | Maritime Shipping |
11.27（Wed） | 13:10-16:40 （4hours） | 科研楼322 | Maritime Shipping |
11.28（Thu） | 18：00-20:25 （4hours） | 科研楼517A | Maritime Shipping |
11.29（Fri） | 13:10-16:40 （4hours） | 科研楼322 | Container Terminals |
12.2（Mon） | 18：00-20:25 （4hours） | 科研楼517A | Public Transport |
12.3（Tue） | 13:10-16:40 （4hours） | 科研楼322 | Public Transport |
12.5（Thu） | 8：20-11：50 （4hours） | 科研楼517A | Public Transport |
Introduction：
Stefan Voß is professor and director of the Institute of Information Systems at the University of Hamburg. Research interests are in management science and information systems. He authored several books and numerous papers. He holds various editorships including the Annals of Information Systems. He is consulting with several companies.
Computational Logistics involves the use of information systems and modern information and communication technology (IT) for the design, planning and control of logistics networks as well as the complex tasks within them. As the logistics and supply chain management fields are developing very dynamically, related service networks are seeking for improved decision support. While modern IT systems are vital components in supply chains and logistics, their successful management rests on intelligent and coordinated decision making throughout the logistics network. In this tutorial we are providing comprehensive insights into computational logistics. Issues are exemplified by the intensive discussion of case studies from different areas including maritime shipping, seaport container terminals, public transport and postal logistics service providers.
The tutorial/course introduces issues in computational logistics and extends to practical concerns in logistics services and service networks. The objective of the tutorial is to achieve abilities in problem solving and management of systems of computational logistics. The participants learn about the ways of analyzing service oriented logistics and supply chain systems. This will be used to different situations for logistics systems in real-world environments.
To exemplify, we provide some more details regarding the first two application areas mentioned above. The tutorial/course gives insights into issues in models and applications of information systems at seaports and container terminals including intermodal traffic. We discuss various information systems regarding terminal operators, shipping companies etc. The tutorial gives a deeper insight into the design principles of service networks in general and transshipment points in and container terminals in particular. We provide details regarding distribution networks as well. It provides the participants with state of the art optimization models and algorithms which are proven to work well in practice and it finally demonstrates the use of decision support systems to optimize various issues in computational logistics.
