Pharmaceutical Industry 4 0 Future Challenges Application

The pharmaceutical industry is on the cusp of a new age, with the need for personalized therapy, more complex production processes, smaller batch sizes and rising manufacturing costs. It is necessary to continuously adapt to the rapidly changing environment using novel technology and improved operational efficiency and flexibility. To achieve this, intelligent manufacturing seems to be a definite answer. Pharma 4.0 is a framework for adapting digital strategies to the unique contexts of pharmaceutical manufacturing. This book provides a deep insight into key technologies that will modernize pharmaceutical manufacturing and facilitate digital transformation. Throughout the book we discuss technologies, application and challenges for applying digital technology in pharmaceutical industry, including: • Focus on an overview of Industry 4.0 and its application in the pharmaceutical field • Most recent advances in the pharmaceutical industry • Understanding the concepts of emerging technology trends for drug discovery.

This book provides a deep insight into key technologies that will modernize pharmaceutical manufacturing and facilitate digital transformation.

The book is intended for researchers and professionals interested in understanding how to design and make a preliminary characterization of Radiation Hardened (rad-hard) analog and mixed-signal circuits, exploiting standard CMOS manufacturing processes available from different silicon foundries and using different technology nodes. It starts with an introductory overview of the effects of radiation in space and harsh environments with a specific focus on analog circuits to enable the reader to understand why specific design solutions are adopted to mitigate hard/soft errors. The following four Chapters are devoted to RHBD (Radiation Hardening by Design) techniques for semiconductor components applied to Operational Amplifiers, Voltage References, Analog-to-Digital (ADC) and Digital-to-Analog (DAC) converters. Each Chapter is organized with a first part which recalls the basic working principles of such circuit and a second part which describes the main RHBD techniques proposed in the literature to make them resilient to radiation. The approach follows a top-down scheme starting from RHBD at circuit level (how to mitigate radiation effects by handling transistors in the proper way) and finishing at layout level (how to shape a layout to mitigate radiation effects). The last-but-one Chapter is devoted to a special class of analog circuit, the dosimeters, which are gaining importance in space, health and nuclear applications. By leveraging the characteristic of a Flash-memory cell, a re-usable dosimeter is described which includes the sensitive element itself, the analog interface and the process of characterization. The last part is an overview of the strategies adopted for the testing of analog and mixed-signal circuits. In particular, it will focus also on the measurement campaigns performed by the Authors aiming for the characterization of developed rad-hard components under total dose (TID) and single-events (SEE). Technical topics discussed in the book include: - Radiation effects on semiconductor components (TID, SEE) - Radiation Hardening by Design (RHBD) Techniques - Rad-hard Operational Amplifiers - Rad-hard Voltage References - Rad-hard ADC - Rad-hard DAC - Rad-hard Special Circuits - Testing Strategies

In the ever-increasing landscape of industry and technology, companies worldwide face an unprecedented challenge. The relentless march of progress, epitomized by the revolution of Industry 4.0, demands adaptation for survival and competitiveness. The integration of technologies such as the Internet of Things (IoT), blockchain, artificial intelligence, additive manufacturing, and robotics has irrevocably altered manufacturing and supply chain operations. What was initially a quest for augmented quality and production has now become an inexorable pursuit of sustainability. The United Nations Sustainable Development Goals (UNSDG) 2030 have left no room for exemptions, making sustainability an imperative at the heart of every business strategy. The answer to this pressing challenge lies within the pages of the book, Convergence of Industry 4.0 and Supply Chain Sustainability. It serves a meticulously curated collection of research that illuminates the intricacies of implementing Industry 4.0 and the ramifications for sustainable supply chains. Our work focuses on the associated challenges and opportunities encountered by the adoption of Industry 4.0 in supply chain management (SCM).

Industry 4.0 Vision for the Supply of Energy and Materials Explore the impact of Industry 4.0 technologies on the supply chain with this authoritative text written by a leader in his field In Industry 4.0 Vision for the Supply of Energy and Materials, distinguished researcher and editor, Dr. Mahdi Sharifzadeh, delivers thematic, analytic, and applied discussions of the Industry 4.0 vision for supply chain design and operation. The book compiles all current aspects and emerging notions of Industry 4.0 into clusters of “enablers” and “analytics” of Supply Chain 4.0. Their multifaceted and highly interconnected nature is discussed at length, as are their diverse range of applications. You will discover uses of these new technologies ranging from the supply of conventional energy networks to renewables, pharmaceuticals, and additive manufacturing. You will also learn about their implications for economic prosperity and environmental sustainability. For each sector, this book scrutinizes current industrial practice and discusses developing concepts. Finally, the book concludes with potential future research directions of interest to industry practitioners and academics alike. Readers will also benefit from the inclusion of: A thorough introduction to connectivity through wireless communications and remote sensors An exploration of blockchains and smart contracts, as well as robotics and automation and cloud computing Practical discussions of supply chain analytics, including big data, machine-learning, and artificial intelligence, as well as supply chain modeling, optimization, and control A concise treatment of Industry 4.0 applications in supply chain design and operation, including the circular economy and the power industry An analysis of the oil, gas, and petrochemical industry, the pharmaceutical industry, and additive manufacturing Perfect for PhD-level and Postdoctoral researchers and industrial researchers, Industry 4.0 Vision for the Supply of Energy and Materials will also earn a place in the libraries of working professionals with an interest in the quantitative analysis of Supply Chain 4.0 concepts and techniques.

This book presents select proceedings of the International Conference on Recent Advances in Mechanical Engineering Research and Development (ICRAMERD 21). It covers the latest research trends in various branches of mechanical engineering. The topics covered include materials engineering, industrial system engineering, manufacturing systems engineering, automotive engineering, thermal systems, smart composite materials, manufacturing processes, industrial automation, and energy system. The book will be a valuable reference for beginners, researchers, engineers, and industry professionals working in the various fields of mechanical engineering.

Academic scholars face the daunting challenge of keeping pace with the rapid evolution of innovative technologies. The emergence of AI-driven solutions, deep learning frameworks, and medical robotics introduces a complex terrain, demanding in-depth understanding and analysis. As scholars navigate the intricacies of patient hate speech detection, cardiovascular diseases AI-CDSS, and the revolution in medical diagnostics, a pressing need arises for comprehensive insights that bridge the gap between theoretical knowledge and practical applications. Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications serves as a solution in this era of transformative healthcare and addresses these challenges head-on. It unravels the complexities surrounding the implementation of AI in healthcare, offering in-depth discussions on the latest breakthroughs. From unraveling the mysteries of AI-driven cataract detection to exploring the implications of decentralized mammography classification, the book is a valuable resource that equips scholars with the knowledge to navigate this innovative landscape.

In the dynamic environment of healthcare, the fusion of Computational Intelligence and Healthcare Industry 4.0 has enabled remarkable advancements in disease detection and analysis. However, a critical challenge persists – the limitations of current computational intelligence approaches in dealing with small sample sizes. This setback hampers the performance of these innovative models, hindering their potential impact on medical applications. As we stand at the crossroads of technological innovation and healthcare evolution, the need for a solution becomes paramount. Advances in Computational Intelligence for the Healthcare Industry 4.0 is a comprehensive guide addressing the very heart of this challenge. Designed for academics, researchers, healthcare professionals, and stakeholders in Healthcare Industry 4.0, this book serves as a source of innovation. It not only illuminates the complexities of computational intelligence in healthcare but also provides a roadmap for overcoming the limitations posed by small sample sizes. From fundamental principles to innovative concepts, this book offers a holistic perspective, shaping the future of healthcare through the lens of computational intelligence and Healthcare Industry 4.0.