This open access book demonstrates how digital platforms are changing planning, execution, and coordination across machining settings, and offers a thorough review of manufacturing platforms for material removal operations. It presents a cohesive framework for next-generation manufacturing platforms by combining cutting-edge ideas, actual industry examples, AI-driven techniques, and structured decision models. It also shows how these concepts can be applied to real-world business problems. The chapters discuss the new scientific models for on-demand manufacturing, the fundamental issues in transitioning from B2C to B2B manufacturing ecosystems, and industrial customers’ specific requirements such as data confidentiality, interoperability, and multi-stakeholder engagement. Readers will learn about supplier management, instant quotation, automated evaluation modules, and how manufacturing platforms can enable new business models. The book includes detailed IDEF0 models that depict the overall workflow and interactions within the proposed models of platform models, offering insight into data flows and operational logic. Practical use cases demonstrate scalability to typical prismatic pieces, as well as how platform-based automation may be based on process planning for turning, milling, and drilling. Each process planning chapter contains cost estimation approaches, AI-based decision logic, and validation with real-world cases. It also includes a chapter on supplier selection and management, which covers a multi-criteria decision framework based on AHP preference modelling, dependability prediction, and work allocation bidding methods.

This open access book demonstrates how digital platforms are changing planning, execution, and coordination across machining settings, and offers a thorough review of manufacturing platforms for material removal operations. It presents a cohesive framework for next-generation manufacturing platforms by combining cutting-edge ideas, actual industry examples, AI-driven techniques, and structured decision models. It also shows how these concepts can be applied to real-world business problems. The chapters discuss the new scientific models for on-demand manufacturing, the fundamental issues in transitioning from B2C to B2B manufacturing ecosystems, and industrial customers’ specific requirements such as data confidentiality, interoperability, and multi-stakeholder engagement. Readers will learn about supplier management, instant quotation, automated evaluation modules, and how manufacturing platforms can enable new business models. The book includes detailed IDEF0 models that depict the overall workflow and interactions within the proposed models of platform models, offering insight into data flows and operational logic. Practical use cases demonstrate scalability to typical prismatic pieces, as well as how platform-based automation may be based on process planning for turning, milling, and drilling. Each process planning chapter contains cost estimation approaches, AI-based decision logic, and validation with real-world cases. It also includes a chapter on supplier selection and management, which covers a multi-criteria decision framework based on AHP preference modelling, dependability prediction, and work allocation bidding methods.