Prof. RAJIV SABHERWAL
UNIVERSITY OF ARKANSAS, USA
TOPIC: Individuals, Organizations, and Society: The Evolving Impacts of Information Technologies
Abstract: Developments in information technologies (ITs) over time have influenced how individuals, organizations, and society manage knowledge and perform tasks. This presentation will examine the nature of the effects traditional and emergent (e.g., artificial intelligence, crowdsourcing, social media, analytics, gamification, and blockchain) Its have at these three levels. Effects on cross-level aspects such as fading boundaries (e.g., between work and leisure) and growing tensions (e.g., between simultaneously rising privacy expectations and public information sharing via social media) will be discussed. Drawing upon industry trends and examples, recent research, and insights developed over the past three decades, some lessons and potential paths forward for individuals, organizations, and society will be offered.
Prof. Rajiv Sabherwal is Distinguished Professor, Edwin & Karlee Bradberry Chair, and Department Chair of Information Systems in the Walton College of Business at University of Arkansas. He has published on the management, use, and impacts of information technology and knowledge in Information Systems Research, MIS Quarterly, Management Science, Organization Science, Journal of Management Information Systems, and other journals. He has performed numerous editorial and conference leadership roles, including serving as Editor-in-Chief for IEEE Transactions on Engineering Management, Conference Co-Chair for International Conference on Information Systems, Program Co-Chair for Americas Conference on Information Systems, Senior Editor for MIS Quarterly and Journal of AIS, and Special Issue Editor for Information Systems Research. He is a Fellow of IEEE, a Fellow of the Association of Information Systems, and a PhD from University of Pittsburgh.
Prof. HUIJUN GAO
HARBIN INSTITUTE OF TECHNOLOGY, CHINA
TOPIC: Network-based Control with Industrial Applications
Abstract: With rapid developments of information technology, network-based control has been widely used in industrial processes. However, various network-induced constraints such as transmission delays, packet dropouts/disorder and quantization, also bring great challenges to conventional control theories. On the other hand, in order to improve the efficiency and gain more profit, the two-layer network-based feedback control scheme has shown its great advantages over the traditional one-layer network-based one in operational control of industrial processes. The talk will first introduce some elegant approaches to network-based control and estimation problems. And then a novel two-layer network-based architecture for operational control of industrial processes will be discussed. It will be shown that under the proposed framework, the overall optimal operational control of industrial processes can be achieved.
Prof. Huijun Gao is a Distinguished Professor of Yangtze River Scholar, Ministry of Education of China. He won the China Youth Science and Technology Prize, the IEEE IES J. David Irwin Early Career Award, the Tan Kah Kee Young Scientist Award, the National Youth 54 Medal and many other awards. At present, he is an IEEE Control Systems Society Industrial Electronics Society Administrative Committee Member (AdCom Member), and the editor of Automatica.
Prof Gong Dah-Chuan
Chang-Gung University, Taiwan
(Dean of the University)
TOPIC: The Evolution and Review of Supply Chain Resilience
Abstract: In the unstable and fast changing business environment with full of potential disruptions, when the business scale of firms shifted from domestically to globally, tough competitions and high requirements with reasonable price products or services make the modern supply chain network being continuously stressed. When the business continuity becomes a norm, a strong and robust resilient supply chain system is one of the most necessary conditions for a firm to win in the race with competitors nowadays. Year 2011, a 9.0-magnitude earthquake and tsunami had hit off the east coast of Tohoku, Japan. Many companies were affected. As an example, Facilities of Renesas Electronics at Naka were severely damaged. Naka was a critical link with Nissan and other automakers’ supply chains. Although Naka’s production lines gradually restored since early June in 2011, Renesas reported an operating loss of 19.1 billion yen and net income loss of 33.2 billion yen. After that, the supply chain disruption caused by natural disasters or man-made disasters is more focused by companies, and resilience has become a popular research alternative. Despite the increasing popularity of research on supply chain resilience (SCRES), it needs a fundamental understanding of the evolution and concepts of SCRES including the definition, capabilities, strategies, and key elements to help successor's positioning and self-research. Several possible research directions are diagnosis of a supply chain’s resilience, a resilient system’s development, recovery time math function, and math function of a system’s resilience.
Prof. Dah-Chuan Gong is the Dean of Management College and a Professor of Industrial and Business Management, Chang Gung University. In the past 13 years, he had served internationally at University of Wisconsin-Milwaukee, National University of Singapore, and Asian Institute of Technology, Thailand. He received his Ph.D. in 1991 from Georgia Institute of Technology in Industrial and Systems Engineering, as well as a certificate in the Computer Integrated Manufacturing program. In 2013, he was a member of the NUS team which won the grand prize of the “Next Generation Container Port (NGCP) Challenge” organized by The Maritime and Port Authority of Singapore and The Singapore Maritime Institute. Between 2000 and 2011, he had been involved in Taiwan’s effort to become more competitive with Business Process Reengineering and IT oriented commercial applications. He advised, reviewed or monitored 100+ large-scale sponsored projects in industries, including computer, telecommunication, electronics, automobile, mechanical and machine tools, among others. His teaching and research interests include the green and resilient supply chain management, global logistics, applied operations research, and production-inventory system analysis
Prof. LOON CHING TANG
NATIONAL UNIVERSITY OF SINGAPORE, SINGAPORE
(Director of TDSI, NUS, Fellow of ISEAM)
TOPIC: Large-scale Systems Resilience
Abstract: A unifying framework in defining and measuring resilience has been an intense research topic in recent years. In this presentation, resilience is measured as a function of intrinsic capacities of a system, the effectiveness of recovery, and the extrinsic random shock process. Some existing resilience measures are analyzed and presented as special cases of the proposed unifying measure. Then, we present a framework in which the key constituents in achieving resilience can be identified. Here, Resilience comprises four key dimensions: namely, reliability, robustness, recovery, and reconfigurability. Finally, some practical and specific strategies for enhancing the resilience of critical infrastructure systems under the proposed framework are presented.
Prof. TANG Loon Ching is a Professor at the Department of Industrial & Systems Engineering (ISE) and the Director of Temasek Defence Systems Institute in National University of Singapore (NUS). LC Tang obtained his PhD in the field of operations research from Cornell University in 1992 under the NUS Overseas Scholarship. He has published widely in many leading international journals in the field of IEOM. He was presented the IIE Transactions 2010 Best Application Paper Award and the prestigious Ralph A. Evans/P.K. McElroy Awards for the best paper presented at 2011 Reliability and Maintainability Symposium. The latter award is widely recognized as a hallmark of excellence in the field of reliability and maintenance engineering the first time, and was the first time it went to authors affiliated to an Asian University in its 58-year history. He has been named 2014 IEOM Outstanding Educator by the IEOM Forum. He is an elected Fellow of the International Society of Engineering Asset Management.
LC Tang is the editor of Quality and Reliability Engineering International and has been on the editorial review board of the Journal of Quality Technology, the flagship journal of American Society for Quality, since 2006, among others. He is the main author of the book: Six Sigma: Advanced Tools for Black Belts and Master Black Belts (which won the inaugural Masing Book Prize by International Academy of Quality); and a co-author of Markov-Modulated Processes and Semiregenerative phenomena. He is one of the founding members of Global Ports Research Alliance, IIE Asian Network and the steering committee of Logistics and Maritime Systems Conference Series; and has served as the General Chair of these conference series.
Besides being active in the forefront of research in Industrial Engineering and Operations Management, LC Tang has also been engaged as consultant/trainer by many government agencies and MNCs in their enterprise transformation initiatives. To-date, he has trained and mentored more than 60 Master Black Belts and provided training to more than 3000 analysts, engineers and managers, from Singapore, Malaysia, Thailand, Israel, China, USA, Indonesia, India and the Philippines in the areas of Lean Six Sigma, Design for Six Sigma, Engineering Asset Management, Operations Research and Reliability Engineering.
Prof. Felix T. S.
The Hong Kong Polytechnic University, Hong Kong
TOPIC: Analysis of Hangar Maintenance Capability Enhancement by Coordination of Quantifiable and Unquantifiable Resources for the External Aircraft Service Provider
Abstract: Aircraft safety and airworthiness are the most important characteristics in the aviation industry. The cost of aircraft maintenance, repair, and overhaul (MRO) activities represents around nine percent of the total annual operating cost for airlines. A transformation of aircraft hangar maintenance practice has emerged to outsource the MRO operations to external independent aircraft maintenance service companies. By transforming to such MRO outsourcing mode, airline companies can reduce the maintenance cost of their fleet and focus more on their high-value commercial flying, customer relationship management and marketing activities. From the perspective of external aircraft maintenance service providers, fulfilling the increasing maintenance requests from clients becomes challenging tasks due to limited resources availability and lack of efficient coordination between the demand on service and their resources availability. As multiple airlines conduct their own fleet’s maintenance schedule while carrying out the flight plans, it is possible that the maintenance demands from multiple airlines may cause congestion during the peak’s hours. To fulfill aircraft maintenance demands from clients efficiently while operating at minimum cost, aircraft maintenance activities for multiple aircraft have to be conducted concurrently in the hangar. The coordination among hangar capacity of “parking” aircraft, “parking” stand assignments, multi-skill staff assignments, and MRO spare part arrangements is a challenging optimization problem, involving quantifiable and unquantifiable resources. Currently, the interdependent relationships affecting the maintenance planning for external service providers have not been studied and addressed systematically. Similarly, there are no studies that address the impact of unquantifiable maintenance resources on the external service provider’s context under the emerging MRO outsourcing mode. This motivates us to investigate the interdependences and develop applicable optimization methodology that maximize the throughput of the maintenance facility and minimize the total cost.
The contributions of the research project are summarized as follows: 1) Analysis of unquantifiable maintenance resource, e.g. the utilization of maintenance hangar space and coordination with other resources utilization; 2) Integrated planning model that incorporates the conventional quantifiable resources and unquantifiable resources, i.e. integration of aircraft maintenance scheduling, hangar layout planning, multi-skill staff assignment problem, and MRO spare parts arrangement; and 3) Developing novel methods for incorporating two-stage optimization mechanism to reduce the complexity in solving the original integrated model involving significant number of resource constraints, then provide managerial insights for efficient utilization of maintenance resources.
Prof. Felix T. S. Chan received his BSc Degree in Mechanical Engineering from Brighton Polytechnic (now University), UK, and obtained his MSc and PhD in Manufacturing Engineering from the Imperial College of Science and Technology, University of London, UK. Professor Chan is now working at the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, and also serving as Associate Head. His current research interests are Logistics and Supply Chain Management, Operations Management, Distribution Coordination, Systems Modelling and Simulation, AI Optimisation, Aviation Management. To date, he has published 16 book chapters, over 400 refereed international journal papers and 300 peer reviewed international conference papers, h index= 47 under the Web of Science. He is a chartered member of the Chartered Institute of Logistics and Transport in Hong Kong. According to a study lately published in the International Journal of Production Research (http://dx.doi.org/10.1080/00207543.2015.1037935), the study measured the research contributions over a 26-year time frame (1985-2010) of academic institutions and individual authors to the field of Operations Management (OM) based on published articles in 11 top-rated and well-known academic OM journals. Professor Chan was among the top 50 prolific authors list who have made the greatest overall contribution to the field as measured by the number of distributed and shared articles published in the 11 designated journals. Also, Professor Chan was Ranked No. 3 in The top 100 authors as the most productive researchers in the field of Operations Management over the past 10 years (2001-2010).
Prof. Adrian E. Coronado Mondragon
TOPIC: Feasibility of Internet of Things and Agnostic Blockchain Technology Solutions: A Case in the Fisheries Supply Chain
Abstract: In recent years supply chains all over the world are experiencing an increase in the adoption of technological advancements. Along with Internet of Things –IoT-, distributed ledger/blockchain technology can provide substantial benefits to the management of supply chains. However the adoption of blockchain-based solutions may face substantial challenges such as scalability, which happens when several parties have to access and record information in a single blockchain. The use of two or more blockchains may help to mitigate such problem but it may require the use of an alternative architecture that enables interoperability. This work investigates the feasibility of adopting an agnostic blockchain architecture based on the particularities of the supply chain commonly found in the fisheries sector. A case in the fisheries sector in Atlantic Canada, characterized for the capture of different species destined for markets worldwide, is used to explore the adoption of an agnostic blockchain architecture. Emerging concepts such as agnostic blockchain applied to the supply chains of perishable goods may open the door to the development of innovative solutions.
Prof. Peng Yang
TOPIC: A Flow Picking System for Order Fulfillment in E-Commerce Warehouses
Abstract: A flow picking system in which the existing picking list is updated in real time has been considered as an effective solution for e-commerce warehouses to increase order fulfillment efficiency. The pivotal issues of performance analysis of flow picking systems, and comparison between batch picking systems and flow picking systems are of great concern, both for academics and practitioners of warehouse operation management. In this study, we first develop analytic models to estimate the critical performance indicators of a flow picking system, including picking density and turnover time of an order. Second, we leverage the proposed models and real warehouse data to compare the performance of batch picking and flow picking systems through simulation. Our results show that a flow picking system requires fewer order pickers and shorter walking distances than a batch picking system in most scenarios especially those with a higher order arrival rate to achieve the same service level.