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International Conference on Intelligent Transportation and Logistics with Big Data & 7Th International Forum on Decision Science

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International Conference on Intelligent Transportation and Logistics with Big Data & 7Th International Forum on Decision Science International Conference on Intelligent Transportation and Logistics with Big Data & 7th International Forum on Decision Science 26-29 July, 2019 Windsor, Ontario Table of Contents Sponsor List ................................................................................................... 2 Organizing Committee ................................................................................... 3 Conference Location ....................................................................................... 4 Conference at a Glance ................................................................................... 5 Plenary Sessions .............................................................................................. 6 Parallel Sessions ............................................................................................ 12 1 Sponsor List 2 Organizing Committee Guoqing Zhang, Co-Chair School of Engineering University of Windsor, Canada E-mail: [email protected] Xiang Li, Co-Chair School of Economic and Management Beijing University of Chemical Technology, China E-mail: [email protected] Xiaofeng Xu, Organizing Chair School of Economic and Management China University of Petroleum, China E-mail: [email protected] Program Committee Members Guoqing Yang, University of Windsor, E-mail: [email protected] Mohammed Almanaseer, University of Windsor, E-mail: [email protected] Jenny Yang, University of Windsor, E-mail: [email protected] Volunteers Hai Shen, Haijiao Li, Yuyu Chen, Jinrong Liu, Libin Guo, Breeze Fenton, Zhumiao Chen 3 Conference Location 2285 Wyandotte, Windsor, Ontario, Canada, N9B 1K3 Transportation during the conference During the conference, we will provide a school bus between the hotels (Caesars Windsor, Best Western Plus Waterfront Hotel), the university and the dinner venue. The specific schedule is as follows. Time Route Saturday, July 27 Hotels → University of Windsor 8:20 am Saturday, July 27 May Wah Inn Chinese Cuisine → Hotels 9:00 pm Sunday, July 28 Hotels → University of Windsor 8:20 am Sunday, July 28 University of Windsor → Windsor River Cruises → Caesars Hotels (Walk) 6:10 pm or Best Western Plus Waterfront Hotel (Bus) Note: On Saturday evening, we will walk to dinner about 20 minutes. 4 Conference at a Glance 5 Plenary Sessions 6 SATURDAY 27 JULY Dr. Alexandre Dolgui is a Distinguished Professor (Full Professor of Exceptional Class in France) and the Head of Automation, Production and Computer Sciences Department at the IMT Atlantique (former Ecole des Mines de Nantes), France. His research focuses on manufacturing line design, production planning and supply chain optimization. He is the co-author of 5 books, the co-editor of 17 books or conference proceedings, the author of 225 refereed journal papers, 26 editorials, and 28 book chapters as well as over 400 papers in conference proceedings. He is the Editor-in-Chief of the International Journal of Production Research, an Area Editor of Computers & Industrial Engineering. He is Member of the Editorial Boards for 28 other journals. Dr. Dolgui has been responsible for the French national CNRS working group on Design of Production Systems (with about 336 individual members) and the regional project on Design and Management of Reconfigurable Manufacturing Systems. Title: Optimal replenishment planning in assembly systems under uncertainties of component lead times Abstract: Manufacturing firms use inventory management software, especially MRP, which ignored lead time uncertainty. It is true that in certain special cases, lead time uncertainty has essentially no effect and can be ignored. Nevertheless, more often, lead time fluctuations strongly degrade tools performance and cause high production costs, just as demand uncertainty does. Seemingly, uncertainty has been neglected for a long time in favor of studying demand uncertainties. Industry agrees that it is overdue and there is a need to rectify this oversight. Nowadays, this gap in research activity begins to be filled in order to respond to companies having non-deterministic lead-times constraints. A new approach of replenishment planning under uncertainty of lead times is proposed and a survey of our results is given. Dr. Ali Diabat is a Global Network Professor of Logistics and Supply Chain Management at New York University. His research focuses on different applications of optimization and operations research. He has published over 100 research journal papers and over 30 conference papers in leading journals and international conference proceedings. Dr. Diabat has received 4 externally funded grants in the amount of about 3 million dollars from different industries, and more than $500,000 from internal and collaborative proposals funded by academic institutions. His industry experience includes working in the shipping industry, as an industrial engineer in Jordan, and as a business analyst in the United States. In addition, he held two positions as an operations research analyst in the banking and beverages industries, both in the United States. In 2014, he received the Best Faculty Research Award from the Department of Engineering Systems and Management at Masdar Institute. Dr. Diabat currently serves as an Associate Editor of the SME Journal of Manufacturing Systems (JMS) and as an Area Editor of the Journal of Computers and Industrial Engineering. 7 Title: Hub-and-spoke network design with interhub economies of scale and node congestion Abstract: In this talk, we summarize the findings of two of our recent papers, both related to the design of hub- and-spoke networks taking into consideration interhub economies of scale and node congestion. In the canonical problem, a hub must be designated as a subset of nodes in the network, and flow emanating from all nodes must be routed through these hubs. Because cost savings due to flow consolidation may be counterbalanced by congestion costs at busy hubs, both aspects of the problem must be studied simultaneously. In the first paper, we consider the single-allocation version of the problem. Economies of scale are modelled through a piecewise- linear function that is concave in the total flow, while congestion penalties are modelled via outer approximations of non-linear convex functions. Lagrangian relaxation with a GRASP heuristic is used to solve the problem. In the second paper, the multiple allocation version is tackled. Here, both concave and convex costs are piecewise-linearized. A Benders decomposition approach is utilized with special attention paid to reducing the size of subproblem LPs. Computational studies confirm the value of the simultaneous modeling of concave and convex cost elements. Dr. Ming Hu is a Professor of Operations Management at Rotman School of Management, University of Toronto and one of the 2018 Poets & Quants Best 40 Under 40 MBA Professors. His research has been featured in media such as Financial Times. Most recently, he focuses on operations management in the context of sharing economy, social buying, crowdfunding, crowdsourcing, and two-sided markets, with the goal to exploit operational decisions to the benefit of the society. He currently serves as the editor-in-chief of Naval Research Logistics, co-editor of a special issue of Manufacturing & Service Operations Management on sharing economy and innovative marketplaces, department co-editor of Service Science, and associate editor of Operations Research and Manufacturing & Service Operations Management, and senior editor of Production and Operations Management. He currently also serves as Vice Chair/Chair-Elect for the RM&P Section of INFORMS and Secretary/Treasurer for the MSOM Society of INFORMS. Title: From the Classics to New Tunes: A Neoclassical View on Sharing Economy and Innovative Marketplaces Abstract: Operations management has the tradition of coming from and going back to real-life applications. It deals with the management of the process of matching supply with demand. The emerging business process in a sharing economy or an innovative marketplace calls for active management from the operational perspective. We take a neoclassical perspective by drawing inspiration from the classic models in operations management and economics. We aim at building connections and identifying differences between those traditional models and the new applications in sharing economy and innovative marketplaces. 8 SUNDAY 28 JULY Dr. Francisco Saldanha da Gama is a professor of Operations Research at the Department of Statistics and Operations Research at the Faculty of Science, University of Lisbon, where he received his Ph.D. in 2002. He has extensively published papers in scientific international journals mostly in the areas of location theory, supply chain management, logistics and combinatorial optimization. Together with Teresa Melo and Stefan Nickel, he has been awarded the EURO prize for the best EJOR review paper (2012) and the Elsevier prize for the EJOR top cited article 2007-2011 (2012), both with the paper entitled "Facility location and supply chain management: a review". He is a member of various international scientific organizations such as the EURO Working Group on Location Analysis of which he is one the past coordinators. Currently, he is the Editor- in-Chief of Computers & Operations Research. Title: Logistics Network Design and Facility Location: The value of a multi-period stochastic solution Abstract: In the past decades logistics network design has been a very active research field. This is an area where facility location
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