Applications of Operational Research in Business and Industries: Proceedings of 54th Annual Conference of Orsi
Gunasekaran, Angappa, Sharma, Jai Kishore, Kar, Samarjit
- 出版商: Springer
- 出版日期: 2024-05-23
- 售價: $7,030
- 貴賓價: 9.5 折 $6,679
- 語言: 英文
- 頁數: 512
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9811980144
- ISBN-13: 9789811980145
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相關主題
商品描述
Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage. The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals.
The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability.
The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.商品描述(中文翻譯)
在快速的技術發展、大量數據生成和極端的波動性下，有效的決策能力在權衡限制和相互衝突的多重目標時對組織來說至關重要，以在當今以時間為基礎的競爭中取勝。敏捷性是一個關鍵問題，企業越來越依賴基於證據的決策，通過由計算智能和自動化驅動的智能決策支持系統來實現競爭優勢。決策不再僅限於特定的功能領域。相反，當今的商業組織通過整合多個目標和觀點，找到可行的洞察，制定未來的行動方案。因此，多目標決策在企業和行業中起著關鍵作用。在這方面，運營研究（OR）模型及其應用的重要性使企業能夠在考慮組織的多個功能領域的情況下，對各種限制和/或目標提供最佳解決方案。因此，研究人員和從業人員廣泛應用OR模型來解決與製造、服務、供應鏈和物流管理、人力資源管理、金融和市場分析等相關的各種組織問題。此外，由AI驅動的OR模型已經能夠提供智能決策支持框架，以實現可持續發展目標。
本期專題提供了一個獨特的平台，展示了來自學術界、工業界和政府的領先國際專家在智能製造、運營管理、財務管理、供應鏈管理和工業4.0等領域的問題。本期的一般（但不具體）範圍包括OR模型，如優化和控制、組合優化、排隊理論、資源分配模型、線性和非線性規劃模型、多目標和多屬性決策模型、統計質量控制以及AI、貝葉斯數據分析、機器學習和計量經濟學等，以及它們在AI和數據驅動的生產管理、市場營銷和零售管理、財務管理、人力資源管理、運營管理、智能製造和工業4.0、供應鏈和物流管理、數字供應網絡、醫療行政、庫存管理、消費者行為、安全分析和投資組合管理以及可持續性等方面的應用。本期將對各種工程和社會科學機構和大學的教職員、學生和學者，以及不同行業和組織的從業人員和政策制定者感興趣。
作者簡介
Prof. Gunasekaran is currently the Special Assistant to the Provost for Academic Affairs and Student Success Professor of Operations Management (Tenured) at California State University, Bakersfield (USA). He obtained Ph.D. in Industrial Engineering and Operations Research from IIT, Mumbai in 1988 and participated in several training programs/seminars/workshops organised by prominent institutions such as UMass Dartmouth, CSU Bakersfield, AACSB, NASPAA, NEASC, WASC, George Blumenthal Scholar, and CSUB Deans Academy to name a few. Apart from holding many key academic and administrative positions earlier, Prof. Gunasekaran published over 400 research papers and authored several editorial notes on emerging areas of Operations Management and MIS. In addition to the recipient of many honours and awards, he is the Editor-in-Chief of several journals, including OPSEARCH.
Prof. Jai Kishore Sharma is at present Head, School of Business, Amity University, Noida (UP). Earlier, he was Professor, Faculty of Management Studies, University of Delhi. He was Visiting Professor, Department of Logistics and Production, Group ESSEC (Graduate School of Management), France; Amity University, Dubai Campus; and at Amity Institute of Higher Education, Mauritius. Apart from having different academic and administrative assignments at senior positions, his fields of academic interest are OR/decision science, supply chain management, business research methods, etc. He has 137 research papers, 24 case studies and 20 text-books to his credit. He is the President of Operational Research Society of India (ORSI).
Samarjit Kar is currently a professor in the Department of Mathematics, National Institute of Technology Durgapur, India. He is also an active participant in Chinese academia having served as a visiting professor at Tsinghua University since 2009. His academic collaborations/co-authors include academics fromChina, Poland, Norway, Canada, Serbia, Lithuania and Turkey. His current research interests include operations research and optimization, soft computing, machine learning and uncertainty modelling. He has published over 160 referred articles in international journals and authored six edited book volumes in Springer. His articles have been cited more than 5200 times on Google Scholar and have appeared in prestigious journals. He is serving as an Associate Editor of OPSEARCH and Guest editors of IEEE Transaction on Fuzzy Systems, Sustainability, Symmetry and Mathematics journals. Presently he act as secretary to Operational Research Society of India (Kolkata Chapter).
作者簡介(中文翻譯)
Prof. Gunasekaran目前擔任加州州立大學貝克斯菲爾德分校（美國）的學術事務和學生成功的特別助理校長，同時也是運營管理（終身職位）的教授。他於1988年從印度理工學院孟買分校獲得工業工程和運營研究的博士學位，並參加了由UMass Dartmouth、CSU Bakersfield、AACSB、NASPAA、NEASC、WASC、George Blumenthal Scholar和CSUB Deans Academy等知名機構組織的多個培訓計劃/研討會/工作坊。除了之前擔任許多重要的學術和行政職位外，Gunasekaran教授發表了400多篇研究論文，並撰寫了幾篇關於運營管理和管理信息系統新興領域的編輯注釋。除了獲得許多榮譽和獎項外，他還是多個期刊的主編，包括《OPSEARCH》。
Prof. Jai Kishore Sharma目前擔任阿米蒂大學（印度北方邦諾伊達）商學院的院長。此前，他是德里大學管理研究學院的教授。他曾擔任法國ESSEC管理學院物流和生產系的訪問教授，以及阿米蒂大學迪拜校區和毛里求斯高等教育學院的訪問教授。除了在高級職位上擔任不同的學術和行政職務外，他的學術興趣領域包括運籌學/決策科學、供應鏈管理、商業研究方法等。他發表了137篇研究論文，24個案例研究和20本教科書。他是印度運籌研究學會（ORSI）的主席。
Samarjit Kar目前是印度國家技術研究所杜爾加布爾分校數學系的教授。他也是中國學術界的活躍參與者，自2009年以來一直擔任清華大學的訪問教授。他與中國、波蘭、挪威、加拿大、塞爾維亞、立陶宛和土耳其的學者進行了學術合作/合著。他目前的研究興趣包括運籌研究和優化、軟計算、機器學習和不確定性建模。他在國際期刊上發表了160多篇被引用的文章，並在Springer出版了六本編輯的專著。他的文章在Google Scholar上被引用超過5200次，並發表在知名期刊上。他擔任《OPSEARCH》的副主編，以及《IEEE Transaction on Fuzzy Systems》、《Sustainability, Symmetry and Mathematics》等期刊的客座編輯。目前，他擔任印度運籌研究學會（加爾各答分會）的秘書。
