Kannan Govindan – författare

This book explains the implementation of just in time (JIT) production in an industrial context, while also highlighting the application of various, vital lean production tools.

This book explains the implementation of just in time (JIT) production in an industrial context, while also highlighting the application of various, vital lean production tools. Shifting the trade-off between productivity and quality, the book discusses the preparation stages needed before implementing a JIT system. After an introduction to lean manufacturing and JIT, it introduces readers to the fundamentals and practice of Kaizen, paying special attention to lean manufacturing tools. The book demonstrates how to use the 5S approach (with the stages of Seiri, Seiton, Seiso, Seiketsu and Shitsuke), Standardized Work, Single Minute Exchange of Die (SMED) and the Kanban system. In brief, the book provides an understanding of the processes associated with the application of these tools and highlights the benefits attained by companies that have implemented JIT systems. Throughout the book, a real-world case study is used to deepen readers’ understanding of how lean manufacturing tools canbe implemented.The book is ideally suited for executive courses in industrial engineering and management, but can also be used for upper undergraduate and graduate courses at universities.

Multihop Cellular Networks, Multihop Sensor Networks and Multihop Cellular Sensor Networks are fast-emerging, utilitarian multihop mobile networking paradigms that promise increased transmission rates and network capacity. Multihop Mobile Wireless Networks discusses issues pertaining to each of these networks and proposes novel and innovative algorithms on Scheduling, Routing and Data aggregation that are viable solutions for multihop mobile networks. Moreover, the book provides the preliminaries and an excellent review on existing approaches in wireless communications. Multihop Mobile Wireless Networks is suitable for academic and industrial research, and can be used for advanced courses in Senior Undergraduate and Graduate programs.The key findings of the book are:-• Multihop Cellular Networks (MCN): These networks, as compared to the existing single-hop cellular networks, provide higher throughput and capacity at lower transmission power requirements by effective spectral re-use. A novel route discovery and resilience protocol, as well as a probability of error based link Scheduling algorithm have been proposed in this book.• Multihop Sensor Networks (MSN): Wireless Sensor Networks are inherently multihop in nature, due to the limited transmission range of resource-constrained sensor nodes. This book presents a novel multibit distributed data aggregation scheme, which minimizes in-network communication, for an event detection application.• Multihop Cellular Sensor Networks (MCSN): Cell phones empowered with sensing capabilities have resulted in the emergence of Cellular Sensor Networks which can impact urban sensing applications in a profound sense. This book advocatesmultihopping in Cellular Sensor Networks and demonstrates its utility in a moving event localization application. Novel data aggregation and routing protocols which take into consideration the underlying mobility model and time-varying connectivity in MCSN have been proposed.

Multihop Cellular Networks, Multihop Sensor Networks and Multihop Cellular Sensor Networks are fast-emerging, utilitarian multihop mobile networking paradigms that promise increased transmission rates and network capacity. Multihop Mobile Wireless Networks discusses issues pertaining to each of these networks and proposes novel and innovative algorithms on Scheduling, Routing and Data aggregation that are viable solutions for multihop mobile networks. Moreover, the book provides the preliminaries and an excellent review on existing approaches in wireless communications. Multihop Mobile Wireless Networks is suitable for academic and industrial research, and can be used for advanced courses in Senior Undergraduate and Graduate programs.The key findings of the book are:-• Multihop Cellular Networks (MCN): These networks, as compared to the existing single-hop cellular networks, provide higher throughput and capacity at lower transmission power requirements by effective spectral re-use. A novel route discovery and resilience protocol, as well as a probability of error based link Scheduling algorithm have been proposed in this book.• Multihop Sensor Networks (MSN): Wireless Sensor Networks are inherently multihop in nature, due to the limited transmission range of resource-constrained sensor nodes. This book presents a novel multibit distributed data aggregation scheme, which minimizes in-network communication, for an event detection application.• Multihop Cellular Sensor Networks (MCSN): Cell phones empowered with sensing capabilities have resulted in the emergence of Cellular Sensor Networks which can impact urban sensing applications in a profound sense. This book advocatesmultihopping in Cellular Sensor Networks and demonstrates its utility in a moving event localization application. Novel data aggregation and routing protocols which take into consideration the underlying mobility model and time-varying connectivity in MCSN have been proposed.

This book gathers selected papers presented at the International Conference on Advancements in Computing and Management (ICACM 2019). Discussing current research in the field of artificial intelligence and machine learning, cloud computing, recent trends in security, natural language processing and machine translation, parallel and distributed algorithms, as well as pattern recognition and analysis, it is a valuable resource for academics, practitioners in industry and decision-makers.

This book gathers selected papers presented at the International Conference on Advancements in Computing and Management (ICACM 2019). Discussing current research in the field of artificial intelligence and machine learning, cloud computing, recent trends in security, natural language processing and machine translation, parallel and distributed algorithms, as well as pattern recognition and analysis, it is a valuable resource for academics, practitioners in industry and decision-makers.

The topics covered include non-conventional energy resources, energy harvesting, polymers, composites, 2D materials, systems engineering, materials engineering, micro-machining, renewable energy, industrial engineering and additive manufacturing.