报告一：Lee Loo Hay 教授，新加坡国立大学
时间：2019年4月25日9:15-10:00
地点：将军路校区经管楼A0405室
报告名称：Building toward the digital twin for smart logistics operation
报告简介：
In this talk, we will introduce some new initiatives in Singapore in transformingthe industry into the next generation industry, in particular in the logisticsand maritime sectors. We will also present some of our latest work indeveloping a simulation optimization framework for digital twin for varioussystems, such as warehouse system and port system. This framework O2DES has thecapability in incorporating optimization in the simulation, and optimizing thesystem parameters based on simulation output.
报告人简介：Biography
Loo Hay LEE is an Associate Professor in the Department of Industrial and Systems Engineering atNational University of Singapore and was a visiting professor at the Departmentof Systems Engineering and Operations Research at George Mason University. Dr.Lee has also been appointed as the Eastern Scholar Professor for the ShanghaiMaritime University by the Shanghai Municipal Education Commission. He receivedhis B.S (Electrical Engineering) degree from the National Taiwan University in1992 and his S.M and PhD degrees in 1994 and 1997 from Harvard University. Hehas has served as the associate editor for IEEE Transactions on AutomaticControl, IIE Transactions, IEEE Transactions on Automation Science andEngineering, Flexible Services and Manufacturing Journal, Simulation:Transactions of The Society for Modeling and Simulation International, the AsiaPacific Journal of Operational Research, International Journal of IndustrialEngineer: Theory, Applications and Practice. He is currently the co-editor forJournal of Simulation and is a member in the advisory board for OR Spectrum. Heis a senior member of IEEE, and has served as a council member in thesimulation society of INFORMS. His research focuses on the simulation-basedoptimization, maritime logistics which includes port operations and themodeling and analysis for the logistics and supply chain system. He has co-leada team to win the grand prize for the next generation container port challengein 2013 by proposing a revolutionary double storey container terminal design,called SINGA Port. He is now co-lead a center of excellence for simulation andmodelling for next generation port (C4NGP), and center of next generationlogistics (C4NGL).
报告二：梁哲教授，同济大学
时间：2019年4月25日10:00-10:45
地点：将军路校区经管楼A0405室
报告名称：Extensions to theairline fleet assignment problem
报告简介：
In this talk, we will introduce two extensions to the traditionalairline fleet assignment problem (FAP). In the first extension, we consider thecrew resource availability and balance in FAP. In the second extension, wemodel the demand-price relationship use a piece-wise linear function. We adopt the traditional time-space network model to handle these extensions. Severaldecomposition algorithms are proposed to solve these models efficiently. Ourcomputational results show that the proposed solution methods can be used formid and large scale airline companies.
报告人简介：Biography
Zhe Liang is a professor in the School ofEconomics and Management, Tongji University. He received his BEng from theDepartment of Computer Engineering at the National University of Singapore(NUS) in 2001, his Master Degree from the Department of Industrial and SystemsEngineering, NUS in 2003, and his PhD from the Department of Industrial andSystems Engineering of Rutgers in 2011. His research interests are related tothe design and implementation of exact and heuristic algorithms for large-scalecombinatorial optimization problems in logistics and transportation. He hasmore than 20 cited publications, including papers that appeared in journalssuch as Transportation Science, INFORMS Journal on Computing, Transportation Research Part B, and others. He has been funded by the National ScienceFoundation of China, Ministry of Education of China, and Ministry of Science and Technology of China.
报告三：Chew Ek Peng 教授，新加坡国立大学
时间：2019年4月25日10:45-11:30
地点：将军路校区经管楼A0405室
报告名称：AGV Routing andControl for Transshipment Container Terminal
报告简介：
In this presentation, we develop a framework for routing and controlling the Automated Guided Vehicles (AGVs). Asthe AGV routing and control are done in real time, the framework requires thesolutions to be generated very fast. To address this computational challenge,the solution framework consists of two stages. The first stage determines therough routes of the AGVs. The second stage determine the detail routings andschedules of the AGVs. As solving the detail routings and schedules requirehigh computing resource, we decompose the port layout into submodules whereeach of them can be solved almost independently. The output of the first stage(rough routes) becomes an input to the second stage which solve the detailroutes and schedules for real time control. Whenever an AGV completes a task,the first stage will be called to revise the rough routes of the AGVs which includes the new task which is assigned to the AGV that has completed the previous task. The new rough routes will become input for second stage to solvethe detail routes and schedules. We show this framework is promising and isable to generate the detail routes and schedules very fast.
报告人简介：Biography
Dr CHEW Ek Peng received his Ph.D. inIndustrial Engineering from the Georgia Institute of Technology, USA. He iscurrently an Associate Professor in the Department of Industrial Systems Engineering and Management at the National University of Singapore. He also holds positions as the Deputy Head(Undergraduate Studies), Director for the Centre of Excellence in Modeling and Simulation for Next Generation Ports, and Co-Director for the Centre for NextGeneration Logistics. He was a Visiting Scholar and a Visiting Professor,respectively, at the Georgia Institute of Technology and University of British Columbia in 2006. His current research areas are in port logistics and maritime transportation, simulation optimization and inventory management. Some of his researchworks are published in journals such as Transportation Science, IISE Transactions, European Journal of Operational Research, and Naval Research Logistics. He is serving as Editor-in-Chief of the Asia Pacific Journal ofOperational Research, member of the Editorial Board Editors of the Transportation Research Part B, member in the Editorial of Flexible Servicesand Manufacturing Journal. He has also co-edited a book in “Advances in Maritime Logistics and Supply Chain Systems’, a special issue for OR Spectrumon “IT-based planning and control of seaport container terminals and freight transportation systems” and three special issues for Flexible Services and Manufacturing Journal on “Maritime Container Logistics and OnshoreTransportation Systems (Part 1, Part 2 and Part 3)”. He and Dr. Lee Loo Hay hasrecently led a team of multidisciplinary researchers and experiencepractitioners to win the Next Generation Container Port Challenge with a grandprize of US$1 mil by proposing a revolutionary double-storey containerterminal, called the SINGA port.
报告四：孙卓教授（大连海事大学）
地点：将军路校区经管楼706 室
时间：2019年4月25日 13:00-13:40
报告名称：A LEGO basedhardware-in-the-loop container terminal simulator
报告简介：Containerterminals are getting bigger and busier. Managing their operations becomes achallenge. Software simulators are widely used but they bear difficulties inuse and development. In this study, we introduce the LEGO hardware as thecounterpart of the software simulator to provide a touchable and modularizedinterface. Users can easily customize different parts of the simulator in theprototyping phase. Experiments show that it can facilitate teaching, trainingand research processes.
报告人简介：Biography
Sun Zhuo received thedual bachelor degree in civil engineering and computer science from Dalian University of Technology in China in 2003, the master degree in hydraulics from DongA university in South Korea in 2005 and the doctor degree in urban planning from Nagoya University in Japan in 2008. He conducted his postdoctoral researchin the Centre for Maritime Studies of National University of Singapore from 2009 to 2012 and then joined the Department of Logistics of Dalian Maritime University as a professor. His research interests are in the areas of shippingnetwork design, port planning. He participated in several domestic andinternational large-scale scientific research projects. More than twentyacademic papers have been published in prestigious journals such as Transportation Research Part B, Transportation Science, European Journal of Operational Research, Transportation Research Part E, Simulation, and Advanced Engineering Informatics. He won the Gold Prize for the “Next GenerationContainer Port Challenge” in the Singapore in 2013 and the third winner of the“The Last Mail Delivery” algorithm competition organized by Alibaba, Hong Kong University of Science and Technology, and INFORMS in 2016.
报告五：李浩斌（新加坡国立大学）
地点：将军路校区经管楼706 室
时间：2019年4月25日 13:40-14:20
报告名称：Development of Smart Digital Twin via O²DES Framework
报告简介：Thesmart digital twin shall be developed in all the four dimensions as follows.Firstly, the Connectivity indicates the level of communication with itsphysical counterpart; then, the Visibility indicates the ease of perception forhuman beings; in addition, the Granularity that indicates the detail level ofthe model; and more importantly, the Analyzability that enable a digital twinwith the smartness to support decision making. O²DES (object-orienteddiscrete-event simulation) framework is proposed by our team for this purpose.This talk will give an overview on how the O²DES framework complies with the development of the smart digitaltwin on these four dimensions.
报告人简介：Biography
Dr.LI, Haobin is a Research Assistant Professor with the Department of IndustrialSystems Engineering and Management, National University of Singapore. He is akey researcher in the Centre of Excellence for Simulation and Modelling for NextGeneration Port (C4NGP), and Centre of Next Generation Logistics (C4NGL), with strong research focuson the discrete-event simulation modelling and stochastic simulationoptimization. The application of his research studies includes the nextgeneration logistics, maritime port optimization, healthcare, and smartmanufacturing.
Dr.Li received his B.Eng. degree with 1st Class Honors in June 2009 from theDepartment of Industrial and Systems Engineering (ISE) at National Universityof Singapore (NUS), with minor in computer science; and Ph.D. degree from thesame department in February 2014. He has been working as post-doctoral researchfellow in the same department after receiving his Ph.D. degree and until joinedA*STAR Singapore as a scientist in July 2015.
During his Ph.D. and post-doctoral studies, Dr. Li has successfully 1) developed MO-COMPASS, a fast and convergent algorithm for multi-objective stochasticsimulation optimization; 2) invented GO-POLARS, the stochastic sampling schemethat incorporates gradient information for accelerating simulation basedoptimization; and 3) developed O2DES.Net, an open-structuredframework for discrete-event simulation modeling and integrated optimization.He has published 13 journal / conference papers on his developments and theirvarious industrial applications; the other 5 journal papers are under reviewsand several working papers are prepared in progress.
Since2012, Dr. Li has been involved as the main contributor in more than 10 academicresearch / industrial projects funded by various agencies. Recently, his focusis on the real-time data-analytics and stochastic simulation optimization withthe IoT sensors and high-performance computing infrastructure, aiming toprovide decision support for the next-generation production control and manufacturingmanagement.
