Mahesh Chand – författare

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.

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.

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 enterprisesPresents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risksThe 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.

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 enterprisesPresents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risksThe 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.

Applied ADO.NET: Building Data-Driven Solutions provides extensive coverage of ADO.NET technology, including ADO.NET internals, namespaces, classes, and interfaces. Whereas most books cover only the SQL and OLE DB data providers, authors Mahesh Chand and David Talbot detail the SQL, OLE DB, and ODBC data providers, as well as additions to ADO.NET, the Oracle, MySQL, and XML .NET data providers. Chand and Talbot also cover the internals of data binding and provide detailed coverage of both Windows Forms and Web Forms data binding and data-bound controls. Because XML plays a major role in .NET development, the authors take a comprehensive look at XML namespaces and classes, and how to integrate both with ADO.NET.

The book begins with the basics of ASP.NET and data-bound controls. It then delves into the internals of data binding and shows how to use DataGrid, DataList, and other data-bound controls in real-world applications. Chand and Talbot also discuss the ASP.NET guest book, database XML Web services, and even an online bookstore site development and design process.

The book also covers

How to create a custom data provider Event handling Server-side programming Data relations and constraints Active Directory Messaging Exception and error handling The object relational model

Advanced developers will learn from the coverage of ADO.NET architecture, related design issues, and how ADO.NET data providers are designed.

A Programmer''s Guide to ADO.NET in C# begins by taking readers through a fast-paced overview of C# and then delves into ADO.NET. Why should C# programmers use it instead of the existing technologies? What new functionality does it offer? The chapters that follow go through the details on each of the major Data Providers of the .NET platform (OleDb, SQL Server, and ODBC) that enable you to read and write data to the targeted database. These chapters also serve as a good reference for looking up detailed methods and properties for these data provider classes. Authors Chand and Gold also show C# programmers how to work with XML classes and how to integrate XML into the ADO.NET architecture.The book provides programmers with handy ideas about taking advantage of the VS.NET IDE and how you can tie your data to the myriad of powerful controls including the multi-faceted Data Grid. Finally, it goes through creating a guest book application for the Web so you can see how all the pieces fit together.

Applied ADO.NET: Building Data-Driven Solutions provides extensive coverage of ADO.NET technology, including ADO.NET internals, namespaces, classes, and interfaces. Whereas most books cover only the SQL and OLE DB data providers, authors Mahesh Chand and David Talbot detail the SQL, OLE DB, and ODBC data providers, as well as additions to ADO.NET, the Oracle, MySQL, and XML .NET data providers. Chand and Talbot also cover the internals of data binding and provide detailed coverage of both Windows Forms and Web Forms data binding and data-bound controls. Because XML plays a major role in .NET development, the authors take a comprehensive look at XML namespaces and classes, and how to integrate both with ADO.NET.The book begins with the basics of ASP.NET and data-bound controls. It then delves into the internals of data binding and shows how to use DataGrid, DataList, and other data-bound controls in real-world applications. Chand and Talbot also discuss the ASP.NET guest book, database XML Web services, and even an online bookstore site development and design process. The book also covers How to create a custom data provider Event handling Server-side programming Data relations and constraints Active Directory Messaging Exception and error handling The object relational model Advanced developers will learn from the coverage of ADO.NET architecture, related design issues, and how ADO.NET data providers are designed.