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Applications of Emerging Technologies and AI/ML Algorithms

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Cover of 'Applications of Emerging Technologies and AI/ML Algorithms'

Table of Contents

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    Book Overview
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    Chapter 1 Q-learning Approach to Mitigate Bacterial Contamination in Food Supply Chain
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    Chapter 2 Optimization of Network Planning in a Real-Life Vehicle Logistics Distribution System
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    Chapter 3 Efficient Supplier Selection in e-Procurement Using Graph-Based Model
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    Chapter 4 Understanding the Role of e-Procurement and Blockchains in Government Tendering—A Case Evidence from China
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    Chapter 5 Omni-Channel Distribution Network Design for Fresh Food Procurement Considering Freshness-Keeping Effort and Food Quality Loss
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    Chapter 6 Redesigning of Procurement Distribution System Network: An Application of Clustering Algorithms
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    Chapter 7 Big Data Analytics and Its Applications in Supply Chain Management: A Literature Review Using SCOR Model
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    Chapter 8 Leveraging Machine Learning of Indian Railways Public Procurement Data for Managerial Insights
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    Chapter 9 Blockchain Technology and Its Application in 3D Parts Procurement: A Case Study
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    Chapter 10 A Mathematical Model-Based Heuristic for Clustering, Logistics, and Order Pickup in the Constrained In-Bound Multi-Period Multi-Part Inventory Routing Problem with Heterogeneous Vehicles
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    Chapter 11 Performance Evaluation of Trucking Industry Using BSC and DEA: A Truck Driver’s Perspective
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    Chapter 12 E-procurement: An Emerging Tool for Pharmaceutical Supply Chain Management
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    Chapter 13 Risk and Feasibility of Sustainable Techno-Eco-Env Green Supply Chain
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    Chapter 14 Steel Price Forecasting for Better Procurement Decisions: Comparing Tree-Based Decision Learning Methods
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    Chapter 15 An Interactive Game Theory Analytics to Model the Panic Buying When the Downstream Supply Chain Channel Partners Undergo Horizontal Coopetition
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    Chapter 16 Supply Chain Data Analytics for Predicting Delivery Risks Using Machine Learning
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    Chapter 17 Importance of Equitable Public Procurement of Food Grains in India for Sustainability
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    Chapter 18 A Framework for 5G Enabled Vaccine Supply Chain Digital Twin
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    Chapter 19 Issues in Procurement and Distribution of Plantation Crops: Can AI-ML Technologies Offer Better Performance Outcomes?
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    Chapter 20 Quantifying the Quality Grade of the Return Mobile Phone in the Context of a Retail Store
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    Chapter 21 Integrated Blockchain Architecture for End-to-End Receivables Management of Indian MSMEs
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    Chapter 22 Investigating the Key Enablers in Perishable Food Supply Chain Using DEMATEL and AHP—PROMETHEE
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    Chapter 23 Blockchain for Supply Chain for Perishable Goods
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    Chapter 24 A Novel Linear Mathematical Model Based Heuristic for a Class of Classification Problem with Non-linearly Separable Data
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    Chapter 25 Intermittent Demand Forecasting for Handtools in Forging Industries: A Svm Model
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    Chapter 26 Electric Vehicle and Charging Infrastructure Development: A Comprehensives Review Using Science Mapping and Thematic Analysis
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    Chapter 27 Contract Price Negotiation Using an AI-Based Chatbot
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    Chapter 28 A Deep Learning-Based Reverse Logistics Model for Recycling Construction and Demolition Waste
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    Chapter 29 Supplier Prioritization and Risk Management in Procurement
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    Chapter 30 Development of an Integrated Customer Relationship Management Tool for Predictive Analytics in Supply Chain Management
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    Chapter 31 Predicting Top Companies Amid Changing Macro Environment—Optimal Sampling Imposing Restriction Filters
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    Chapter 32 Role of Artificial Intelligence in Green Public Procurement
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    Chapter 33 Supplier Prioritization and Risk Management in Procurement
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    Chapter 34 An Empirical Study on Recruitment Management Systems: Start of a New Era
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    Chapter 35 Traceability of Unwitting Disclosure Using Explainable Correlation in Procurement and Supply Chain
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Title
Applications of Emerging Technologies and AI/ML Algorithms
Published by
Springer Nature Singapore, August 2023
DOI 10.1007/978-981-99-1019-9
ISBNs
978-9-81-991018-2, 978-9-81-991019-9
Editors

Tiwari, Manoj Kumar, Kumar, Madhu Ranjan, T. M., Rofin, Mitra, Rony

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Engineering 1 33%
Unknown 1 33%