Advances in Applied Operations Research and Analytics for Business Intelligence: Proceedings of International Conference on Emerging Trends in Busines
暫譯: 商業智慧應用運籌學與分析的進展：新興商業趨勢國際會議論文集

本書收錄了2024年12月12日至14日在印度孟買的印度理工學院孟買校區（IIT Bombay）維克多·梅內澤斯會議中心（VMCC）舉行的國際商業分析與管理科學新興趨勢會議（BAMS 2024）上的選定論文。該書包含了來自運籌學及其應用、機器學習、人工智慧與數據科學、大數據、物聯網、區塊鏈、雲計算、庫存管理與供應鏈分析、零售分析、資訊系統與分析、金融數據分析、市場分析、醫療分析、運營與專案管理、商業中的應用數學與模擬、策略與競爭力分析、環境經濟學分析、透過商業分析實現循環經濟與可持續性、管理中的應用統計、模糊邏輯與智能系統，以及環境、社會與治理分析等領域的工程師、研究人員和實務工作者的研究成果。

Prof. Pankaj Dutta is Professor in decision sciences and operations research at the School of Management, Indian Institute of Technology (IIT) Bombay, Mumbai, India. He holds a Ph.D. degree from IIT Kharagpur, India, and is Postdoctoral Fellow from EPFL, Swiss Federal Institute of Technology, Switzerland. He has worked as INSA Fellow at Karlsruhe Institute of Technology, Germany, and DAAD Visiting Professor at Humboldt University of Berlin, Germany. He served as Associate Editor of OPSEARCH and Guest Editor, Editorial Board Member, and Reviewer of several international journals. He is Central Council Member of the Operational Research Society of India (ORSI). He is also featured in the world's top 2% Scientist's database (single-year) based on a study conducted by Stanford University, USA. His current areas of research interest include supply chain management, reverse logistics, data analytics, e-commerce, crowdfunding, MCDM, and decision-making under risk and uncertainty.

Prof. Sudeep R. Bapat is Assistant Professor in the decision sciences area at the Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay. He had his schooling and undergraduate education in New Delhi. He obtained his bachelor's degree in statistics from the University of Delhi, a master's in science in applied statistics and informatics from the Indian Institute of Technology, Bombay, and Ph.D. from the University of Connecticut, USA, in 2017. His thesis mainly concentrates on the area of sequential methodologies and applications. Some of his Ph.D. research includes estimation of parameters under a sequential sampling strategy, which is beneficial under many practical real-world examples such as health studies, ecology, and finance. He later worked as Visiting Assistant Professor in the Probability and Statistics Department of the University of California, Santa Barbara, and as Assistant Professor at the Indian Institute of Management, Indore.

Prof. Dipak Kumar Jana did Ph.D. from Indian Institute of Engineering Science and Technology, Shibpur, and did his post-graduation (M.Sc.) in applied mathematics with specialization in operations research from Vidyasagar University, West Bengal. He has qualified in the National Eligibility Test (NET-CSIR) for Junior Research Fellow (JRF) and GATE. He has been teaching mathematics both at undergraduate and postgraduate levels. He is Ex-HOD and Professor in the Department of Applied Science, Haldia Institute of Technology, Haldia, West Bengal. Dr. Jana is Member of Operational Research Society of India, Indian Science Congress Association, Calcutta Mathematical Society. Dr. Jana has published more than 65 papers in esteemed International journals. He has also reviewed several texts and reference books on mathematics. He is Organizing Chair of Internal Conferences ICITAM 2019, ICEMC 2020. He has edited a book, Volume 699 of Advances in Intelligent Systems and Computing, Springer Singapore, 2018.

Prof. Anil Kumar is a Professor of Operations, Supply Chain, and Business Analytics at London Metropolitan University (LMU), UK. With over fifteen years of teaching and research experience, he brings a wealth of expertise to his role. Prior to joining LMU, he served as a Postdoctoral Research Fellow in Decision Sciences at the Centre for Supply Chain Improvement, University of Derby, UK. He holds a Ph.D. in Management Science from the ABV-Indian Institute of Information Technology and Management, Gwalior, India, as well as Bachelor's and Master's degrees in Mathematics from Kurukshetra University, India. In addition, he completed an MBA and qualified for the National Eligibility Test (NET). Prof. Kumar's outstanding contributions to research have earned him international recognition, including being ranked in the World Top 1% by Web of Science in 2024, and in the world Top 2% by Stanford University-Elsevier in 2025, 2024, 2023, and 2022.

Prof. Naoufel Cheikhrouhou is Professor of supply chain, logistics, and operations management at the Geneva School of Business Administration, Switzerland, since 2014. Between 2001 and 2014, he led the Operations Management group at EPFL, Swiss Federal Institute of Technology, Lausanne. His main research interests are modeling, simulation and optimization of supply chains, human factors in production management, and logistics and hybrid forecasting methodologies, for which Dr. Cheikhrouhou received the Burbidge Award in 2003 and the BG Ing Conseil in 2014. He has several high-quality publications in reputed international journals like International Journal of Production Research, Computers & Industrial Engineering, Applied Soft Computing, Computers in Industry, International Journal of Production Economics, Production Planning and Control, Annals of Operations Research, Transportation Research Part E: Logistics and Review, Sustainable Production and Consumption, Journal of Enterprise Information Management among others.

潘卡傑·達塔教授（Prof. Pankaj Dutta）是印度孟買印度理工學院（IIT Bombay）管理學院決策科學與運籌學的教授。他擁有印度卡哈拉格普爾印度理工學院（IIT Kharagpur）的博士學位，並曾在瑞士聯邦理工學院（EPFL）擔任博士後研究員。他曾在德國卡爾斯魯厄理工學院（Karlsruhe Institute of Technology）擔任INSA研究員，並在德國洪堡大學（Humboldt University of Berlin）擔任DAAD訪問教授。他曾擔任《OPSEARCH》的副編輯，以及多本國際期刊的客座編輯、編輯委員會成員和審稿人。他是印度運籌學會（Operational Research Society of India, ORSI）的中央理事會成員。根據美國史丹佛大學的研究，他也被列入全球前2%的科學家數據庫（單年）。他目前的研究興趣包括供應鏈管理、逆向物流、數據分析、電子商務、眾籌、多準則決策（MCDM）以及風險和不確定性下的決策。

蘇迪普·R·巴帕特教授（Prof. Sudeep R. Bapat）是印度孟買印度理工學院（IIT Bombay）Shailesh J. Mehta管理學院決策科學領域的助理教授。他在新德里接受學校教育和本科教育。他獲得了德里大學的統計學學士學位，並在印度孟買印度理工學院獲得應用統計與信息學的碩士學位，於2017年在美國康涅狄格大學獲得博士學位。他的論文主要集中在序列方法及其應用領域。他的部分博士研究包括在序列抽樣策略下的參數估計，這在許多實際的現實例子中是有益的，例如健康研究、生態學和金融。他後來在加州大學聖巴巴拉分校的概率與統計系擔任訪問助理教授，並在印度管理學院（Indian Institute of Management, Indore）擔任助理教授。

迪帕克·庫馬爾·賈納教授（Prof. Dipak Kumar Jana）在印度工程科學與技術學院（Indian Institute of Engineering Science and Technology, Shibpur）獲得博士學位，並在西孟加拉的維迪亞薩加爾大學（Vidyasagar University）獲得應用數學（專攻運籌學）的碩士學位。他已通過國家資格考試（NET-CSIR）以獲得初級研究員（JRF）資格，並通過GATE考試。他在本科和研究生層次教授數學，曾任西孟加拉哈爾迪亞技術學院（Haldia Institute of Technology）應用科學系的前系主任和教授。賈納博士是印度運籌學會、印度科學大會和加爾各答數學學會的成員。他在多本國際期刊上發表了超過65篇論文，並審閱了多本數學的教科書和參考書。他是2019年ICITAM和2020年ICEMC內部會議的組織主席。他編輯了2018年在新加坡Springer出版的《智能系統與計算進展》系列的第699卷。

阿尼爾·庫馬爾教授（Prof. Anil Kumar）是英國倫敦城市大學（London Metropolitan University, LMU）運營、供應鏈和商業分析的教授。擁有超過十五年的教學和研究經驗，他為自己的角色帶來了豐富的專業知識。在加入LMU之前，他曾在英國德比大學（University of Derby）供應鏈改進中心擔任決策科學的博士後研究員。他擁有印度Gwalior的ABV印度信息技術與管理學院的管理科學博士學位，以及印度庫魯克舍特拉大學的數學學士和碩士學位。此外，他還完成了MBA並通過了國家資格考試（NET）。庫馬爾教授在研究方面的卓越貢獻使他獲得了國際認可，包括在2024年被Web of Science評選為全球前1%，以及在2022、2023、2024和2025年被史丹佛大學-愛思唯爾評選為全球前2%。

納烏費爾·謝赫魯胡教授（Prof. Naoufel Cheikhrouhou）自2014年以來擔任瑞士日內瓦商業管理學院的供應鏈、物流和運營管理教授。在2001年至2014年間，他領導了瑞士洛桑聯邦理工學院（EPFL）的運營管理小組。他的主要研究興趣包括供應鏈的建模、模擬和優化、生產管理中的人因以及物流和混合預測方法，因而在2003年獲得了Burbidge獎，並在2014年獲得BG Ing Conseil獎。他在《國際生產研究期刊》、《計算機與工業工程》、《應用軟計算》、《工業中的計算機》、《國際生產經濟學期刊》、《生產計劃與控制》、《運營研究年鑑》、《交通研究E部分：物流與評論》、《可持續生產與消費》、《企業信息管理期刊》等多本知名國際期刊上發表了多篇高質量的論文。