This book provides insights into contemporary issues and challenges concerning operational research and related mathematical modeling fundamentals, such as system reliability, scalability, and adaptability. This collaboration of academia and industry disseminates practical tools and analytics applications of mathematics in engineering and information sciences

Optimization techniques have gained popularity among system managers for making crucial decisions while meeting multiple needs. The focus of this book is the evaluation and optimization of critical decisions related to the system betterment. Each chapter presents the recent advancements and research opportunities in system assurance.

Operational Perspective of Modeling System Reliability (Research Tools for System Dynamics) is for academicians and those who need to understand the latest developments in the field of System Reliability. Along with these, anyone solving problems within the related application domains will benefit from this compilation.

�ber die Autorin bzw. den Autor

Accomplished and integrity-driven academic professional with over 8 years of rich experience in varied fields of Education, Banking, Analytics & Business Management with enormous success in developing Cognitive based teaching learning pedagogy with ability to coach best practices and motivate team, Dr Deepti Aggrawal has experience of teaching in various Delhi University colleges like Maharaja Agrasen, Shaheed Rajguru, Keshav Mahavidyalaya. Presently she is working as an Assistant Professor at USME, Delhi Technological University. Her Research areas include Marketing Management, Marketing Analytics and Software Reliability. She is a life member of SREQOM and has publications in journals of national and international repute. She has edited special issues of various journals of repute; CDQM, IJMEMS to name a few. She has recently authored a book entitled “Market Assessment with OR Applications” with CRC Press.

Dr Adarsh Anand did his doctorate from Department of Operational Research, University of Delhi. Presently he is working as an Associate Professor at the Department of Operational Research, University of Delhi (INDIA). His research area includes Modelling of Innovation Adoption in Marketing and Software Reliability Assessment. He is a lifetime member of the Society for Reliability Engineering, Quality and Operations Management (SREQOM). He has been awarded as Young Promising Researcher in the Field of Software Reliability and Technology Management by SREQOM in 2012. He is on Editorial Board for various Journals and has Guest Edited several Special Issues for journals of repute. He has edited two books; “System Reliability Management: Solutions & Technologies” and “Recent Trends in Software Reliability Assurance”; and has authored two textbooks; “Market Assessment with OR Applications” and “Social Networks: Modeling and Analysis”; which have been published by CRC Press (Taylor & Francis Gp.). He has also edited a book; “Systems Performance Modeling” and has authored a book “Multi Criteria Decision making: Applications for Managerial Discretion” with De Gryuter.

Prof (Dr.) Yoshinobu Tamura received the Ph.D. degrees from Tottori University in 2003. From 2003 to 2006, he was a Research Assistant at Tottori University of Environmental Studies. From 2006 to 2009, he was a Lecturer and Associate Professor at Faculty of Applied Information Science of Hiroshima Institute of Technology, Hiroshima, Japan. From 2009 to 2017, he was an Associate Professor at the Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan. From 2017 to 2019, he has been working as a Professor at the Faculty of Knowledge Engineering, Tokyo City University, Tokyo, Japan. Since 2020, he has been working as a Professor at the Faculty of Information Technology, Tokyo City University, Tokyo, Japan. Since 2021, he has been working as a Professor at the Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan. He has authored the book entitled as OSS Reliability Measurement and Assessment (Springer International Publishing, 2016). Dr. Tamura received the Presentation Award of the Seventh International Conference on Industrial Management in 2004, the IEEE Reliability Society Japan Chapter Awards in 2007, the Research Leadership Award in Area of Reliability from the ICRITO in 2010, the Best Paper Award of the IEEE International Conference on Industrial Engineering and Engineering Management in 2012, the Honorary Professor from Amity University of India in 2017, the Best Paper Award of the 24th ISSAT International Conference on Reliability and Quality in Design in 2018, the Outstanding Paper Award of the IEEE International Conference on Industrial Engineering and Engineering Management in 2022, and the Amity Global Academic Excellence Award of the IEEE 4th International Conference on Intelligent, Engineering & Management in 2023.

Dr. Mohini Agarwal is a Lecturer at Grand Canyon University in the United States. She has a strong academic background, having previously served as an Assistant Professor at Galgotias University in the School of Business before joining Amity University Uttar Pradesh. Her educational journey culminated in a Ph.D. from the Department of Operational Research at the prestigious University of Delhi in India. With a passion for research, Dr. Agarwal has made significant contributions to the field of marketing management, operations research, and software reliability modeling. She is the author of several publications, including a book titled "Market Assessment with OR Applications," which was published by CRC Press. Additionally, she has authored numerous research papers, with around 30 of them being published in reputable national and international journals and conferences. Her expertise and research prowess have led to the publication of two more books, "Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications," published by CRC Press in 2023, and "Multiple Criteria Decision-Making Methods: Applications for Managerial Discretion," published in 2022 by Walter de Gruyter GmbH & Co KG.

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