The book comprises of selected papers presented at the Third International Conference on Intelligent Manufacturing and Automation (ICIMA 2022), which was organized by the Departments of Mechanical Engineering and Production Engineering of Dwarkadas J. Sanghvi College of Engineering (DJSCE), Mumbai, jointly with Indian Society of Manufacturing Engineers (ISME). The book focuses on specific topics of Intelligent Manufacturing, Automation, Advanced Materials and Design. It includes original research articles, focusing on the latest advances in the fields of Automation, Mechatronics & Robotics, CAD/CAM/CAE/CIM/FMS in Manufacturing, Artificial Intelligence in Manufacturing, IOT in Manufacturing, Product Design & Development, DFM/DFA/FMEA, MEMS & Nano Technology, Rapid Prototyping, Computational Techniques, Nano & Micro-machining, Sustainable Manufacturing, Industrial Engineering, Manufacturing Process Management, Modelling & Optimization Techniques, CRM, MRP & ERP, Green, Lean & Agile Manufacturing, Logistics & Supply Chain Management, Quality Assurance & Environment protection, Advanced Material Processing & Characterization and Composite & Smart Materials. It is hoped that the contents in the book will serve as reference for future researchers. The book is also expected to act as a valuable resource for the students of Post Graduate and Doctoral Programmes.

This book gathers selected papers presented at the Second International Conference on Intelligent Manufacturing and Automation (ICIMA 2020), which was jointly organized by the Departments of Mechanical Engineering and Production Engineering at Dwarkadas J. Sanghvi College of Engineering (DJSCE), Mumbai, and by the Indian Society of Manufacturing Engineers (ISME). Covering a range of topics in intelligent manufacturing, automation, advanced materials and design, it focuses on the latest advances in e.g. CAD/CAM/CAE/CIM/FMS in manufacturing, artificial intelligence in manufacturing, IoT in manufacturing, product design & development, DFM/DFA/FMEA, MEMS & nanotechnology, rapid prototyping, computational techniques, nano- & micro-machining, sustainable manufacturing, industrial engineering, manufacturing process management, modelling & optimization techniques, CRM, MRP & ERP, green, lean & agile manufacturing, logistics & supply chain management, quality assurance & environmental protection, advanced material processing & characterization of composite & smart materials. The book is intended as a reference guide for future researchers, and as a valuable resource for students in graduate and doctoral programmes.

This book presents the outcomes of the International Conference on Intelligent Manufacturing and Automation (ICIMA 2018) organized by the Departments of Mechanical Engineering and Production Engineering at Dwarkadas J. Sanghvi College of Engineering, Mumbai, and the Indian Society of Manufacturing Engineers. It includes original research and the latest advances in the field, focusing on automation, mechatronics and robotics; CAD/CAM/CAE/CIM/FMS in manufacturing; product design and development; DFM/DFA/FMEA; MEMS and Nanotechnology; rapid prototyping; computational techniques; industrial engineering; manufacturing process management; modelling and optimization techniques; CRM, MRP and ERP; green, lean, agile and sustainable manufacturing; logistics and supply chain management; quality assurance and environment protection; advanced material processing and characterization; and composite and smart materials.

Intelligent Manufacturing is part of the Advanced Manufacturing Series edited by Professor D.T. Pham of the University of Wales, College of Cardiff. This publication exposes the major issues associated with programming environments for manufacturing and illustrates specific software systems developed for industrial application. Clear and concise statements are made on the state-of-the-art and recent trends in manufacturing languages and programming environments. The book discusses the diverse approaches that are currently under consideration in North America and Europe. It gives the reader an understanding of how manufacturing languages can be used to integrate computer controlled machines and intelligent sensors in automated manufacturing systems including machine tools, robots, inspection and material handling equipment.

The proceedings of the fourth ICMA in 2004 represent a huge contribution to research in this area. Everyone attending the conference was asked to submit their papers electronically which meant that 100 top quality papers from no less that 10 different countries contributed to the theme of the conference.

ANEMONA is a multi-agent system (MAS) methodology for holonic manufacturing system (HMS) analysis and design. ANEMONA defines a mixed top-down and bottom-up development process, and provides HMS-specific guidelines to help designers identify and implement holons. The analysis phase is defined in two stages: System Requirements Analysis, and Holon Identification and Specification. This analysis provides high-level HMS specifications, adopting a top-down recursive approach which provides a set of elementary elements and assembling rules. The next stage is Holon Design, a bottom-up process to produce the system architecture from the analysis models. The Holons Implementation stage produces an Executable Code for the SetUp and Configuration stage. Finally, maintenances functions are executed in the Operation and Maintenance stage. The book will be of interest to researchers and students involved in artificial intelligence and software engineering, and manufacturing engineers in industry and academia.

Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology. These emerging technologies facilitated and expedited the birth of Logistics 4.0. Industrial Revolution 4.0 initiatives in SCM has attracted stakeholders’ attentions due to it is ability to empower using a set of technologies together that helps to execute more efficient production and distribution systems. This initiative has been called Logistics 4.0 of the fourth Industrial Revolution in SCM due to its high potential. Connecting entities, machines, physical items and enterprise resources to each other by using sensors, devices and the internet along the supply chains are the main attributes of Logistics 4.0. IoT enables customers to make more suitable and valuable decisions due to the data-driven structure of the Industry 4.0 paradigm. Besides that, the system’s ability of gathering and analyzing information about the environment at any given time and adapting itself to the rapid changes add significant value to the SCM processes. In this peer-reviewed book, experts from all over the world, in the field present a conceptual framework for Logistics 4.0 and provide examples for usage of Industry 4.0 tools in SCM. This book is a work that will be beneficial for both practitioners and students and academicians, as it covers the theoretical framework, on the one hand, and includes examples of practice and real world.

Presents a methodology developed by DaimlerChrysler. Illustrates the methodology through detailed case studies.