2023 年 5 月 11 日
関係各位

講演会 開催のお知らせ
南山大学理工学部長 大石 泰章
南山大学大学院理工学研究科長 三浦英俊
南山大学理工学研究センター長 鈴木 敦夫
下記のとおり，南山大学理工学部・理工学研究科・理工学研究センターの共催講演会を開催します．
多くの方のご参加をお待ちしております．
記日 時 ： 2023 年 5 月 31 日(水)15:30 ～ 18:00
場 所 ： 南山大学 S 棟 1 階会議室１
講演者１ ： Prof. Janny Leung, the University of Macau, President of International
Federation of Operational Research Societies
題 目 ： Public Transport for Smart Cities
概 要 ： The idea of a smart city is one that utilizes IoT technologies and data analytics
to optimize the efficiency of city operations and services, so as to provide a high quality oflife for its citizens. For a smart city, the goal of public transportation is not simply themovement of people, but the facilitation of mobility for living. Public transport must offer
ubiquitous access, real-time response capabilities, convenience and quality service, andenergy-efficient operations. To meet these goals, an integrated co-ordinated multi-modal
public transportation system is needed, leading to substantial increase in planning andoperational complexity. This talk will discuss the challenges in network design, operations
planning, scheduling and management of smart public transport systems.
講演者２ ： Dr. Yong-Hong Kuo, the University of Hong Kong, President of Operations
Research Society of Hong Kong
題 目 ： Operations research and data science for managing hospital emergency
department operations
概 要 ： Hospital emergency department (ED) overcrowding is a significant andpersistent issue in many countries and cities worldwide. This talk presents a collaborative
project with an ED in Hong Kong that utilizes both operations research and data science
techniques to improve patient flows and system efficiency. Machine learning models areused to provide real-time and personalized patient waiting times. A simulation model that
captures many complicating factors has been developed to examine possible solutions that
could relieve overcrowding. The talk also discusses challenges in obtaining key types of datafor direct estimation ofstochastic components in the system. Computational results show that the simulation
model produces results consistent with actual observations. Simulation optimization
approaches are developed to determine resource allocation decisions, and insights into
managing ED operations are derived from simulation results.
連絡先：南山大学理工学部データサイエンス学科 鈴木 敦夫 (atsuo@nanzan-u.ac.jp)
講演会はハイブリッド形式で開催されます．南山大学以外の方は，リモートでの参加をお願いします．参加を希望される方は，鈴木宛メイルでご連絡ください．講演会の Zoom のアクセス情報を講演会の直前にお送りします．

2023 年 5 月 13 日
関係各位

講演会 開催のお知らせ
南山大学理工学部長 大石 泰章
南山大学大学院理工学研究科長 三浦英俊
南山大学理工学研究センター長 鈴木 敦夫
下記のとおり，南山大学理工学部・理工学研究科・理工学研究センターの共催講演会を開催します．
多くの方の参加をお待ちしております．特にオペレーションズ・リサーチやその周辺分野を学んでいる大学院生の皆様の参加をお待ちしています．
記

日 時 ： 2023 年 6 月 1 日(木)17:30 ～ 19:00
場 所 ： 南山大学 S 棟 1 階会議室１
講演者１ ： Prof. Janny Leung, the University of Macau, President of International
Federation of Operational Research Societies
題 目 ： Sports Scheduling概 要 ： Sports is a multi-billion dollar global industry. Hugh investments are made by teams intheir players, staff and facilities. Sports leagues across many sports (soccer, basketball, baseball,etc.) have millions of fans. The smooth running of games in a tournament is a major scheduling andlogistical challenge. In this talk, we focus on the sports scheduling problem of determining the date,venue and match-up of opponents for the games to be played in a tournament. We discuss somegraph models and integer-programming models for scheduling round-robin tournaments. We also
discuss scheduling issues for some new tournament modes, e.g. dynamic scheduling.
講演者２ ： Dr. Yong-Hong Kuo, the University of Hong Kong, President of Operations ResearchSociety of Hong Kong
題 目 ： Spatial planning of public electric vehicle charging infrastructure in a high-density
city: case studies of Beijing and Hong Kong, China
概 要 ： This talk will present two case studies that optimized the deployment of public electricvehicle (EV) charging stations in Beijing and Hong Kong, China. The first study utilized threeclassic facility location models to analyze the effectiveness of locating EV charging facilities. Theresults showed that the p-median model outperformed the other two models by providing
charging stations closer to communities with higher EV demand, making charging facilities moreaccessible to the majority of EV users. Additionally, the study recommended that policymakers use
the p-median model to locate EV charging facilities. The second study proposed acontextualized EV charger optimization model incorporating supply-and-demand constraints tominimize charging demand shortfall and travel time. The study conducted a spatial analysis ofpotential charging sites and a questionnaire survey with local residents to estimate their EVpurchase intention. These constraints were subsequently incorporated into a location-allocation
model to optimize the deployment of public EV charging facilities. The study recommended
expanding the charging network beyond the central business district and urban core, building morechargers at existing stations, and expanding the charging network to meet projected demand.
The two case studies provide insights for policymakers and stakeholders into spatial planning anddeployment strategies for public EV charging infrastructure in high-density cities.
連絡先：南山大学理工学部データサイエンス学科 鈴木 敦夫 (atsuo@nanzan-u.ac.jp)
講演会はハイブリッド形式で開催されます．南山大学以外の方は，リモートでの参加をお願いします．
参加を希望される方は，鈴木宛メイルでご連絡ください．講演会の Zoom のアクセス情報を講演会の直前にお送りします．