サプライチェーンにおけるデータ駆動型技術と人工知能:ツールと技法<br>Data-Driven Technologies and Artificial Intelligence in Supply Chain : Tools and Techniques (Intelligent Data-driven Systems and Artificial Intelligence)

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サプライチェーンにおけるデータ駆動型技術と人工知能:ツールと技法
Data-Driven Technologies and Artificial Intelligence in Supply Chain : Tools and Techniques (Intelligent Data-driven Systems and Artificial Intelligence)

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  • 製本 Hardcover:ハードカバー版/ページ数 276 p.
  • 言語 ENG
  • 商品コード 9781032426730
  • DDC分類 658.7

Full Description

This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing.

"Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies"
Emphasizes the impact of a data-driven supply chain on quality management
"Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing"
Highlights the barriers to implementing artificial intelligence in small and medium enterprises
Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks

The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.

Contents

Chapter 1

A Human-Centered Approach to Artificial Intelligence in Supply Chain

Kiruthiga Devi M, Murali Dhar M S, Unnamalai K and S.Shobana

Chapter 2

A Proposed Artificial Intelligence and Blockchain Technique for Solving Health Insurance Challenges

Kuldeep Tomar and Shivani Sharma

Chapter 3

Logistics Performance Measurement: A Data Envelopment Analysis Using The Logistics Performance Index 2018 Data

M. Mujiya Ulkhaq

Chapter 4

Artificial Intelligence to Complement Lean Approach in Healthcare Industry

Sayantan Chakraborty, Palka Mittal, Koustuv Dalal, Jaseela Majeed and Luxita Sharma

Chapter 5

Artificial Intelligence: A Rescuer to Vaccine's Cold Chain

Palka Mittal, Gaurav Aggarwal, Puneeta Ajmera, Pintu Das and Vineet Jain

Chapter 6

Leveraging the Potential of Artificial Intelligence in Healthcare Supply Chain Management

Sapna Yadav

Chapter 7

Artificial Intelligence Assisted Telemedicine: A Boon in Healthcare

Sheetal Yadav, Jaseela Majeed and Sheetal Kalra

Chapter 8

The Landscape of Big Data and Supply Chain Management

Shweta Sharma

Chapter 9

The Emerging Roles of Artificial Intelligence in Chemistry and Drug Design

Simpi Mehta,

Chapter 10

Impact of Data-Driven Supply Chain on Quality: Evidence from Medical Device Manufacturing Industry

Puneeta Ajmera, Kartikay Saini and Vineet Jain

Chapter 11

Digital Supply Chain: Potentials, Capabilities and Risk Management Through Artificial Intelligence

Kartikay Saini, Puneeta Ajmera, Vineet Jain and Mahesh Chand

Chapter 12

Big Data Analytics Based Agro Advisory System for Crop Recommendation Using Spark Platform

Madhuri J and Indiramma M

Chapter 13

Application of Artificial Intelligence in Small and Medium Enterprises - An Overview

Laxmi Pandit Vishwakarma and Rajesh Kr Singh

Chapter 14

Industry 4.0 and Sustainable Supply Chain: A Review and Future Research Agenda

Alok Yadav, Rajiv Kumar Garg , Anish Sachdeva and Sheetal Soda

Chapter 15

Role of Artificial Intelligence in Supply Chain Management

Dinesh Kumar, Nitin, Mahesh Chand

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