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Supply Chain Finance Modelling and Optimization

  • Book
  • Jul 2024
  • Latest edition

Overview

  • Provides insights into integrating optimal decision-making policies in real-world problems of various sectors
  • Gives sound knowledge of modeling of real-world problems and solution procedure
  • Uses tools from subjects like mathematics, computer science, statistics, engineering, economics, and management

Part of the book series: Inventory Optimization (IO)

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Keywords

  • Inventory
  • Deterioration
  • Supply Chain
  • Preservation
  • Carbon Emission
  • Shortages
  • Sustainablity
  • Supply Chain Optimization

About this book

This book provides a general overview of the use of optimisation techniques in decision-making concerning inventory problems, supply chain management, production and manufacturing management, problems related to vendor selection, transportation and logistics, and the use of fuzzy or interval techniques (uncertainty) in the aforementioned areas. It offers helpful guidance on how to decide which strategies to apply in different areas of real-world problems, especially highlighting latest advancements in supply chain management, inventory control, environmental planning, and optimisation. All authors have extensive research experience in practical decision-making scenarios which serves as the foundation for contributing chapters. The book thus assists scientists, upcoming researchers, and businesspeople in understanding optimisation techniques for finding the optimal answer to decision-making problems. 

Editors and Affiliations

  • Burdwan, India

    Ali Akbar Shaikh

  • Department of Business Administration, University of Macedonia, Thessaloniki, Greece

    Ioannis Konstantaras

  • Department of Statistics and Operations, Aligarh Muslim University, Aligarh, India

    Irfan Ali

  • University of Tehran, School of Industrial Engineering, Colleg, Tehran, Iran

    Ata Allah Taleizadeh

  • Department of Mathematics, Gujarat University, Ahmedabad, India

    Nita H. Shah

About the editors

Dr. Ali Akbar Shaikh is currently working as an Assistant Professor in Mathematics at The University of Burdwan, Burdwan, West Bengal, India. He was a postdoctoral fellow at School of Engineering and Sciences of Tecnológico de Monterrey, México. He has obtained the award SNI of level 1 (out of 0-3) given by National System of Researchers of México from government of México in the year 2017. He obtained MSc in Applied Mathematics from University of Kalyani, India, MPhil and Ph.D. in Mathematics from University of Burdwan, India. Dr. Shaikh has published more than 60 research papers in different peer reviewed and JCR international journals. His research interests include inventory control theory, interval optimization and Particle Swarm Optimization. He has also written a book entitled “Advance Optimization and Operations Research”. He is also Associate Editor of the Taylor and Francis journal “International Journal of System Science: Operations and Logistics”

Dr. Ioannis Konstantaras is an Assistant Professor at the Department of Business Administration of the University of Macedonia, Greece. He graduated from the Mathematics Department of the Aristotle University of Thessaloniki in 1999. He completed his graduate education at the Department of Mathematics, University of Ioannina, Greece, receiving a M.Sc. in Statistics and Operational Research and a Ph.D. in Operations Research. Dr. Konstantaras’ current research interests lie in the operations research, optimization, reverse logistics and supply chain management. His scientific works have been published in the following journals: Omega, European Journal of Operational Research, International Journal of Production Research, International Journal of Production Economics etc. He is the Co-Editor in Chief of the International Journal of Systems Science: O&L.

Dr. Irfan Ali currently works at the Department of Statistics and Operations Research, Aligarh Muslim University. He did his B.Sc., M.Sc., M. Phil., and Ph.D. from the Aligarh Muslim University. He was awarded by Post Graduate Merit Scholarship during M.Sc. (Statistics) and UGC-BSR Scholarship awarded during Ph.D. (Statistics). He researches on various topics: Transportation Problems, Fuzzy Optimization, Applied Statistics, Survey Sampling, Supply Chain Networks and Management, Mathematical Programming , Multi-objective Optimization. He has supervised two M. Phil., and one Ph.D. in Operations Research. He has completed a research project 'UGC- Start-Up Grant Project, UGC New Delhi, INDIA. He has published more than 75 research papers in reputed journals, and also serves as a reviewer for several journals. He is a life member of various professional society: Operational Research Society of India, Indian Society for Probability and Statistics, Indian Mathematical Society and The Indian Science Congress Association. He also serves associate editor in some journals.

Dr. Ata Allah Taleizadeh received his all B.Sc. & M.Sc. and Ph.D. degrees in industrial engineering. He is currently an Associate Professor of Industrial Engineering, University of Tehran, Iran. His research area interests include pricing and revenue optimization, inventory and material management, Game Theory, sustainable supply chain management, investment management. He has published two books entitled Inventory Control Models with Motivational Policies, Springer 2018, and Imperfect Inventory systems, Springer, 2021. He has published extensively in reputable and leading journals such as European Journal of Operational ResearchOMEGAInternational Journal of Management SciencesIEEE Transactions ON SystemsMan, and Cybernetics: SystemsInternational Journal of Production EconomicsAnnals of Operation ResearchesService SciencesTransportation Research: Part E, etc. He serves as an Editor/Associated Editor/Editorial Board Member for a number of international journals such as International Journal of Systems SciencesJournal of Industrial EngineeringInternational Journal of Systems Sciences: Logistic & Operation ResearchInternational Journal of Applied and ComputationalInternational Journal of Industrial Engineering: Theory, Applications and PracticeIIE Transactions on Healthcare Systems Engineering.

Prof. Nita H. Shah received her PhD in Statistics from Gujarat University in 1994. Prof. Nita is the HOD of the Department of Mathematics at Gujarat University, India. She is a post-doctoral visiting research fellow of the University of New Brunswick, Canada. Prof. Nita’s research interests include inventory modelling in the supply chain, robotic modelling, mathematical modelling of infectious diseases, image processing, dynamical systems and its applications, etc. Prof. Nita has published 13 monograph, 5 textbooks, and 475+ peer-reviewed research papers. Four edited books are prepared for IGI Global and Springer, with Dr. Mandeep Mittal as the co-editor. Her papers are published in high-impact journals of Elsevier, Inderscience, and Taylor and Francis. She has authored 18 books. According to the Google scholar, the total number of citations is over 3225 and the maximum number of citations for a single paper is over 176. The H-index is 24 up to January 2021, and i-10 index is 80. She has guided 28 PhD students and 15 MPhil students till now. Eight students are pursuing research for their PhD degree. One DSK-UGC post doctorate fellow is working under Prof. Shah. She is Vice-President of Operational Research Society of India. She is a council member of Indian Mathematical Society.

Bibliographic Information

  • Book Title: Supply Chain Finance Modelling and Optimization

  • Editors: Ali Akbar Shaikh, Ioannis Konstantaras, Irfan Ali, Ata Allah Taleizadeh, Nita H. Shah

  • Series Title: Inventory Optimization

  • Publisher: Springer Singapore

  • eBook Packages: Business and Management, Business and Management (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Hardcover ISBN: 978-981-97-2358-4Due: 12 August 2024

  • Softcover ISBN: 978-981-97-2361-4Due: 12 August 2024

  • eBook ISBN: 978-981-97-2359-1Due: 12 August 2024

  • Series ISSN: 2730-9347

  • Series E-ISSN: 2730-9355

  • Edition Number: 1

  • Number of Pages: XX, 330

  • Number of Illustrations: 30 b/w illustrations, 40 illustrations in colour

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