Sharma / Jain Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management

1. Auflage 2022
ISBN: 978-981-19-6337-7
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 284 Seiten, eBook

Reihe: Inventory Optimization

This book considers new analytics and AI approaches in the areas of inventory control, logistics, and supply chain management. It provides valuable insights for the retailers and managers to improve business operations and make more realistic and better decisions. It also offers a number of smartly designed strategies related to inventory control and supply chain management for the optimal ordering and delivery policies. The book further uses detailed models and AI computing approaches for demand forecasting to planning optimization and digital execution tracking. One of its key features is use of real-life examples, case studies, practical models to ensure adoption of new solutions, data analytics, and AI-lead automation methodologies are included.The book can be utilized by retailers and managers to improve business operations and make more accurate and realistic decisions. The AI-based solution, agnostic assessment, and strategy will support the companies for better alignment and inventory control and capabilities to create a strategic road map for supply chain and logistics. The book is also useful for postgraduate students, researchers, and corporate executives. It addresses novel solutions for inventory to real-world supply chain and logistics that retailers, practitioners, educators, and scholars will find useful. It provides the theoretical and applicable subject matters for the senior undergraduate and graduate students, researchers, practitioners, and professionals in the area of artificial intelligent computing and its applications in inventory and supply chain management, inventory control, and logistics.

Zielgruppe

Research

Autoren/Hrsg.

Sharma, Dinesh K.

Jain, Madhu

Inhaltsverzeichnis

Markov Decision Processes of a Two-tier Supply Chain Inventory SystemR. Sivasamy, Dinesh K. Sharma, Keamogetse Setlhare Nature-Inspired Optimization for Inventory Models with Imperfect Production Neetu Singh, Madhu Jain, Praveendra Singh
A Multi-Objective Mathematical Model for Socially Responsible Supply Chain Inventory Planning Apoorav Dhingra, Vijaypal Poonia, Rakhee Kulshrestha
Artificial Intelligence Computing and Nature Inspired Optimization Techniques for Effective Supply Chain ManagementMadhu Jain, Dinesh K. Sharma, Nidhi Sharma
An EPQ Model for Imperfect Production System with Deteriorating Items, Price Dependent Demand, Rework and Lead Time under Markdown PolicySrabani Shee , Tripti Chakrabarti
Retrial Inventory-Queueing Model with Inspection Processes and Imperfect Production Palak Mehta, Madhu Jain, Sibasish Dhibar 
Inventory Model for Growing Items and Its Waste ManagementJagannath Biswas, Nirmal Kumar Duari, Tripti Chakrabarti
Pavement Cracks Inventory Survey with Machine Deep Learning ModelsAaron Rasheed Rababaah Decarbonisation Through Production of Rhino Bricks From the Waste Plastics: EPQ ModelNabajyoti Bhattacharjee, Nabendu Sen, Dinesh K. Sharma Cost Analysis of Supply Chain Model for Deteriorating Inventory Items with Shortages in Fuzzy EnvironmentS. S. Mishra, S. Rawat , S. K. Yadav , P. P. Mishra
Multi-Echelon Inventory Planning in Supply ChainShalini Rathore, Madhu Jain, Rakesh Kumar Meena
Impact of Renewable Energy on a Flexible Production System under Preorder and Online Payment Discount FacilityS.R. Singh,  Dipti Singh
Impact of Preservation Technology Investment and Order Cost Reduction on an Inventory Model under Different Carbon Emission PoliciesDipti Singh, S.R. Singh, Monika Rani
The Impact of Corporate Credibility on  Inventory Management DecisionsJulius A. Alade,    Krishna A. Goyal, Teena Mertiya, Sudha Bishnoi , Nidhi Jain
A Bidirectional Neural Network Dynamic Inventory Control Model for Reservoir OperationMekonnen Redi, Natesan Thillaigovindan , Mihret Dananto

Über Autor(innen)

Dinesh K. Sharma is a professor of Quantitative Methods and Computer Applications in the Department of Business, Management and Accounting at the University of Maryland Eastern Shore, USA. He earned his M.S. in Mathematics, M.S. in Computer Science, Ph.D. in Operations Research, and a second Ph.D. in Management. Professor Sharma has over twenty-eight years of teaching experience and served in several committees to supervise Ph.D. students and also acts as an external Ph.D. thesis examiner for several universities in India. Dr. Sharma's research interests include mathematical programming, artificial intelligence and machine learning techniques, inventory and supply chain management, healthcare management, and portfolio management. He has published over 250 refereed journal articles and conference proceedings and has also won fourteen best paper awards. Professor Sharma has collaborated on a number of funded research grants. Professor Sharma is editor of the Journal of Global Information Technology and Review of Business and Technology Research and is on the editorial board of several journals and a paper reviewer for a number of additional journals and conferences. Additionally, he is a member of Decision Sciences (USA), a life member of the Operational Research Society of India, and served as a program chair and coordinator of several international conferences in many countries.

Madhu Jainis presently working as an associate professor in the Department of Mathematics, Indian Institute of Technology Roorkee, India. Before joining IIT Roorkee, she served as reader/associate professor/professor in the Department of Mathematics in Dr. B.R.A. University, Agra, for 10 years and as visiting faculty in Indian Institute of Technology, Delhi. She has published over 450 research papers in International Journals, over 100 papers in Conference Proceeding/edited books, and 20 books and 6 edited books. She was conferred Young Scientist Award and SERC visiting fellow of the Department of Science and Technology (DST), India, and Career Award of University Grant Commission (UGC), India. She is the recipient of and Vigyan Gaurav award and Distinguish Service Award of Vijnana Parisad of India for her outstanding contributions to Mathematics. She was visiting fellow of Isaac Newton Institute of Mathematical Sciences, Cambridge, UK, for during summer in 2010, 2011, and 2014. At present, Dr. Madhu Jain is holding the post of president of Global Society of Mathematical and Allied Sciences. She has participated over 150 International/National Conferences in India and Abroad and visited many reputed universities/Institutes in USA, Canada, Australia, UK, Germany, France, Holland, Belgium, Singapore, Mauritius, Taiwan, UAE. Her current research interest includes stochastic modeling, inventory and supply chain management, queueing theory, software and hardware reliability, bio-informatics, data analytics, soft computing, etc.