Applications of Operational Research in Business and Industries / Lecture Notes in Operations Research (PDF)
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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 variousconstraints 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.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
- 2023, 1st ed. 2023, 512 Seiten, Englisch
- Herausgegeben: Angappa Gunasekaran, Jai Kishore Sharma, Samarjit Kar
- Verlag: Springer Nature Singapore
- ISBN-10: 9811980128
- ISBN-13: 9789811980121
- Erscheinungsdatum: 21.05.2023
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