To survive and thrive in the competition, firms have strived to achieve greater supply chain collaboration to leverage the resources and knowledge of suppliers and customers. Internet based technologies, particularly interorganizational systems, further extend the firms' opportunities to strengthen their supply chain partnerships and share real-time information to optimize their operations. "Supply Chain Collaboration: Roles of Interorganizational Systems, Trust, and Collaborative Culture" explores the nature and characteristics, antecedents, and consequences of supply chain collaboration from multiple theoretical perspectives.

"Supply Chain Collaboration: Roles of Interorganizational Systems, Trust, and Collaborative Culture" conceptualizes supply chain collaboration as seven interconnecting elements including information sharing, incentive alignment, goal congruence, decision synchronization, resource sharing, as well as communication and joint knowledge creation. These seven components define the occurrence of collaborative efforts and allow us to explain supply chain collaboration more precisely. Collaborative advantages are also divided into five components to capture the joint competitive advantages and benefits among supply chain partners.

The definitions and measures developed here examine some central issue surrounding supply chain development but this is also followed up with real-life managerial practicalities. This balance of theory and practical application makes "Supply Chain Collaboration: Roles of Interorganizational Systems, Trust, and Collaborative Culture" a strong resource for industry practitioners and researchers alike.

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The environmental burden caused by private transportation represents a significant challenge towards sustainability. Electric vehicles are considered a key technology to reduce the environmental impact caused by the mobility sector. However, the global adoption of electromobility implies shift and diversification of the environmental impacts caused by the transportation sector mainly driven by the production of the battery system. Modeling the life cycle environmental impacts of traction batteries is a time demanding and interdisciplinary task as it involves a high variability and requires an in-depth knowledge of the product system under analysis. To face these challenges, an Integrated Computational Life Cycle Engineering ICLCE framework for EVs has been developed. The ICLCE framework described aims at supporting fast and comprehensive modelling of complex foreground systems in the electromobility field and their interaction with diverse backgrounds and partial contexts.

The modern market economy is founded on economic growth and increasing consumption of manufactured products, leading to over use of resources and environmentally-damaging pollution. We can help protect the environment by focussing on the entire life-cycle of each manufactured product. A holistic view of every stage and process of a product's life-cycle is needed in order to find sound solutions to adverse environmental effects and help us develop a new generation of eco-designed products. Environmentally-friendly Product Development introduces methods to improve the environmental characteristics of products. Every manufactured product has environmental impacts during its life-cycle. These arise in the product's manufacture, use, recycling and disposal. In the past designers have focussed only on technical and economical aspects when developing new products, taking into account market-conditions and their company's resources. However, designing a product in accordance with environmental demands requires that designers consider potential influences from all part of its life-cycle. The book describes an integrated approach that assists designers to develop environmentally-friendly products, illustrating the methods and tools with case studies. Process and information modelling, life-cycle assessment and ecological product optimisation are surveyed in detail. Unique to Environmentally-friendly Product Development is the introduction of the Eco Design Workbench - a computer based design environment that supports the designer during the product development process. Environmentally-friendly Product Development is a comprehensive survey of environmental design. Readers will learn about thecomplexity of ecological product design and be introduced to methods and tools that can minimise environmental impacts. As well as a practical guide for product designers and design engineers, the book will provide managers in industry with an introduction to the environmental costs involved in a manufacturing economy and signposts to how these may be limited.

This edited volume contains research results presented at the 12th International Symposium Continuous Surface Mining, ISCSM Aachen 2014. The target audience primarily comprises researchers in the lignite mining industry and practitioners in this field but the book may also be beneficial for graduate students.

Business Intelligence (BI) is a solution to modern business problems. This book discusses the relationship between BI and Human Resource Management (HRM). In addition, it discusses how BI can be used as a strategic decision-making tool for the sustainable growth of an organization or business. BI helps organizations generate interactive reports with clear and reliable data for making numerous business decisions. This book covers topics spanning the important areas of BI in the context of HRM. It gives an overview of the aspects, tools, and techniques of BI and how it can assist HRM in creating a successful future for organizations. Some of the tools and techniques discussed in the book are analysis, data preparation, BI-testing, implementation, and optimization on GR and management disciplines. It will include a chapter on text mining as well as a section of case studies for practical use. This book will be useful for business professionals, including but not limited to, HR professionals, and budding business students.

Features Includes insight questions to support class discussion Written in broadly non-mathematical terms, designed to be accessible to any level of student or practicing AP to read, understand, and implement the concepts Each section introduces the ideas through real-life case studies

The inspection process is one of the most important steps in manufacturing industries because it safeguards high quality products and customer satisfaction. Manual inspection may not provide the desired accuracy. This book introduces and implements a new methodology and develops the supporting technologies for automated inspection planning based on Computer Aided Design (CAD) models. It also provides and implements an efficient link for automated operation based on Coordinate Measuring Machine (CMM). The link's output is a DMIS code programming file based on the inspection planning table that is executed on CMM.

This book takes the advanced precision forging technology of aluminum alloy parts as the main line, presents the content of precision forging process analysis, process parameter design, mold structure design, numerical simulation of forming process, and process test, combined with a large number of application examples classified according to the structural characteristics of parts. It introduces the theoretical basis of several new technologies and new equipment for precision forging, including the small flash precision forging technology, flow control forming technology, casting and forging combined forming technology, and new CNC precision forging hydraulic presses and servo hydraulic presses, which inspire readers to innovate on new technology and new equipment development.This book provides readers with the latest knowledge of aluminum alloy precision forging, which is of great reference value in the context of the current increasing attention to lightweight and the increasing application of aluminum alloy parts in automotive, aerospace, marine, and other fields. This book can be used as a reference book for engineering and technical personnel engaged in aluminum alloy forging technology and can also be used as a reference book for researchers, undergraduates, and graduate students interested in materials processing.

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.

Tight gas reservoirs have very low permeability and porosity, which cannot be produced at economical flow rates unless the well is efficiently stimulated and completed using advanced and optimized technologies. Economical production on the basis of tight gas reservoirs is challenging in general, not only due to their very low permeability but also to several different forms of formation damage that can occur during drilling, completion, stimulation, and production operations.

This study demonstrates in detail the effects of different well and reservoir static and dynamic parameters that influence damage mechanisms and well productivity in tight gas reservoirs. Geomechanics, petrophysics, production and reservoir engineering expertise for reservoir characterization is combined with a reservoir simulation approach and core analysis experiments to understand the optimum strategy for tight gas development, delivering improved well productivity and gas recovery.

This congress proceedings provides recent research on leading-edge manufacturing processes. The aim of this scientific congress is to work out diverse individual solutions of "production in the border area" and transferable methodological approaches. In addition, guest speakers with different backgrounds will give the congress participants food for thoughts, interpretations, views and suggestions. The manufacturing industry is currently undergoing a profound structural change, which on the one hand produces innovative solutions through the use of high-performance communication and information technology, and on the other hand is driven by new requirements for goods, especially in the mobility and energy sector. With the social discourse on how we should live and act primarily according to guidelines of sustainability, structural change is gaining increasing dynamic. It is essential to translate politically specified sustainability goals into socially accepted and marketable technical solutions. Production research is meeting this challenge and will make important contributions and provide innovative solutions from different perspectives.

The current perspectives of smart and sustainable manufacturing systems hold important implications for current practices and understanding these concepts for further implications. This comprehensive reference text discusses both centralized and decentralized production systems, using variety of new cutting-edge approaches to solve the problem. The text covers simulation-based approaches including social network-based approaches, discrete event-based approaches, and knowledge based for smart and sustainable systems. It further covers mathematical models such as single-objective, multi-objective, and many-objective. The text discusses important topics including energy efficiency, transportation constrains for efficient and effective production, meta-heuristic and hybrid algorithms, and real-time monitoring and analysis for smart and sustainable production. This book- * Presents approaches to improve the objectives of sustain-ability and smart production systems. * Discusses Internet of Things (IoT) and Industrial Internet of Things (IIoT) concepts and its implementation for production systems. * Covers social network analysis method in distributed manufacturing systems. * Examines reckoning prognostics and diagnostics to monitor the health of the systems in perspective of distributed manufacturing. * Discusses aspects of Industry 4.0 in specific production systems. The text will be useful for graduate students and professional in the fields of mechanical engineering, production engineering, industrial engineering, and manufacturing.

While simulation has a vast area of application, this textbook focuses on the use of simulation to analyse business processes. It provides an up-to-date coverage of all stages of the discrete-event simulation (DES) process, covering important areas such as conceptual modelling, modelling input data, verification and validation and simulation output analysis. The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject and the practical elements of a typical simulation project, demonstrated by cases, examples and exercises. It also shows how simulation relates to new developments in machine learning, big data analytics and conceptual modelling techniques. Guidance is provided on how to build DES models using the Arena, Simio and Simul8 simulation software, and tutorials for using the software are incorporated throughout. Simulation Modelling offers a uniquely practical and end-to-end overview of the subject, which makes it perfect required or recommended reading for advanced undergraduate and postgraduate students studying business simulation and simulation modelling as part of operations research, business analytics, supply chain management and computer science courses.

It has been estimated that over 75% of the innovative projects that begin through the Innovation Management System (IMS) are either failures or they failed to produce the desired results. The biggest wastes most medium- to large-size organizations face are the waste of money, time, reputation, opportunity, and income that these failures are costing them. Following this book's recommendations could reduce this failure cost by as much as 70%. The purpose of this book is to provide a step-by-step procedure on how to process a medium- or large-size project, program, or product using an already-established IMS that considers the guidance given in ISO 56002:2019 - Innovation Management Systems Standard. Often the most complicated, complex, difficult, and challenging system used in an organization is the IMS. At the same time, it usually is the most important system because it is the one that generates most of the value-adding products for the organization, and it involves most of the key functions within the organization. The opportunity for failure in time and the impact on the organization is critical and often means the difference between success and bankruptcy. Throughout this book, the authors detail the high-impact inputs and activities that are required to process individual projects/programs/products through the innovation cycle. Although this book was prepared to address how medium to large projects, programs, and products proceed through the cycle, it also provides the framework that can be used for small organizations and simple innovation activities. Basically, the major difference between large- and small-impact innovation projects is that the small projects can accept more risks, require less formal documentation, use simpler communication systems, and require fewer resources. It's important to remember that the authors are addressing an existing IMS rather than trying to create an entirely new one. Currently, this is the only book geared for professionals responsible for managing innovative projects and programs using ISO 56002:2019 - Innovation Management - Innovation Management System - Guidance to provide a comprehensive management strategy and step-by-step plan and ISO 56004 Innovation Management Assessment -Guidance. It provides a comprehensive analysis of what is required from the time an opportunity is recognized to the time the customer is using the innovative product. The book also introduces a new Process modeling cloud service that allows you to drill down 5 levels from the system level to the job description level and includes free access to many of the book's best practice Process models.

This book is an implementation guide for creating a Lean Culture from the ground up while gaining buy-in from key stakeholders and being able to sustain the results. Everyone talks about implementing a Lean Culture, but only provides Lean Tools for the implementation. This book discusses implementing the entire system from three main aspects. It covers the people (structural and cultural), the operation system, and the tools. Also included is a full set of case studies to show real-life implementations as well. FEATURES: Discusses Leader Standard work for all employees Covers the escalation process for tiers and daily accountability Shows how to deal with a change of SOP's and standardization within an organization Presents exercises for Lean Tools Implementation Offers real-life case studies of implementing a Lean Culture while sustaining it Building a Sustainable Lean Culture: An Implementation Guide discusses Lean Leadership from a managerial standpoint and ensures the Lean journey succeeds through accountability, standardized work, and technological advances utilizing Lean Systems. Useful in manufacturing, services, IT, and healthcare, this book includes the implementation of empowering employees to want to build a Lean Culture.

This book introduces readers to cybersecurity and its impact on the realization of the Industry 4.0 vision. It covers the technological foundations of cybersecurity within the scope of the Industry 4.0 landscape and details the existing cybersecurity threats faced by Industry 4.0, as well as state-of-the-art solutions with regard to both academic research and practical implementations. Industry 4.0 and its associated technologies, such as the Industrial Internet of Things and cloud-based design and manufacturing systems are examined, along with their disruptive innovations. Further, the book analyzes how these phenomena capitalize on the economies of scale provided by the Internet. The book offers a valuable resource for practicing engineers and decision makers in industry, as well as researchers in the design and manufacturing communities and all those interested in Industry 4.0 and cybersecurity.

This state-of-the-art book highlights recent advances and discussions in tribological technologies in sheet metal forming. The contents focus on the fundamentals to the more complex topics such as micro contact and lubricant behaviors, FEM analysis in deep drawing process, usage of tribo-simulators, friction behavior in flat sliding, tribological numerical modeling, and simulation of seizure. This book is a useful reference for academicians and researchers in the field of lubrication, sheet metal forming, and tooling.

With the boom of big data and machine learning and the subsequent need for parallel processing technologies, fork-join queues are more relevant now than ever before. In this book, new estimates of the average response time in fork-join queues are proposed, which form the basis for new research opportunities. Analysis of Fork-Join Systems: Network of Queues with Precedence Constraints explores numerical approaches to estimate the average response time of fork-join queueing networks and offers never before published simple expressions for the mean response time as conjectures. Extensive experiments are included to demonstrate the remarkable accuracy of the conjectures and algorithms used in the estimation of the average response time. Graduate students, professors, and researchers in the fields of operations research, management science, industrial engineering, computer science, and electrical engineering will find this book very useful. Students, as well as researchers in both academia and industry, will also find this book of great help when looking for results related to fork-join queues

This book is a hands-on single-source reference of tools, techniques, and processes integrating both Lean and Six Sigma. This comprehensive handbook provides up-to-date guidance on how to use these tools and processes in different settings, such as start-up companies and stalled projects, as well as establish enterprises where the ongoing drive is to improve processes, profitability, and long-term growth. It contains the "hard" Six Sigma approach as well as the flexible approach of FIT SIGMA, which is adaptable to manufacturing and service industries and also public sector organisations. You will also discover how climate change initiatives can be accelerated to sustainable outcomes by the holistic approach of Green Six Sigma.

The book is about what we can do now with leadership, training, and teamwork in every sphere of our businesses. Lean, originally developed by Toyota, is a set of processes and tools aimed at minimising wastes. Six Sigma provides a set of data-driven techniques to minimise defects and improve processes. Integrating these two approaches provides a comprehensive and proven approach that can transform an organisation. To make change happen, we need both digital tools and analog approaches. We know that there has been a continuous push to generate newer approaches to operational excellence, such as Total Quality Management, Six Sigma, Lean Sigma, Lean Six Sigma, and FIT SIGMA.

It is vital that we harness all our tools and resources to regenerate the economy after the Covid-19 pandemic and make climate change initiatives successful for the survival of our planet. Six Sigma and its hybrids (e.g., Lean Six Sigma) should also play a significant part. Over the last three decades, operational performance levels of both public sector and private sector organisations improved significantly and Lean Six Sigma has also acted as a powerful change agent. We urgently need an updated version of these tools and approaches.

The Green Six Sigma Handbook not only applies appropriate Lean and Six Sigma tools and approaches, fitness for the purpose, but it aims at sustainable changes. This goal of sustainability is a stable bridge between Lean Six Sigma and climate change initiatives. Hence, when the tools and approaches of Lean Six Sigma are focused and adapted primarily to climate change demands, we get Green Six Sigma.

This book presents selected papers from the 9th International Workshop of Advanced Manufacturing and Automation (IWAMA 2019), held in Plymouth, UK, on November 21-22, 2019. Discussing topics such as novel techniques for manufacturing and automation in Industry 4.0 and smart factories, which are vital for maintaining and improving economic development and quality of life, it offers researchers and industrial engineers insights into implementing the concepts and theories of Industry 4.0, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.

Max Hoffmann describes the realization of a framework that enables autonomous decision-making in industrial manufacturing processes by means of multi-agent systems and the OPC UA meta-modeling standard. The integration of communication patterns and SOA with grown manufacturing systems enables an upgrade of legacy environments in terms of Industry 4.0 related technologies. The added value of the derived solutions are validated through an industrial use case and verified by the development of a demonstrator that includes elements of self-optimization through Machine Learning and communication with high-level planning systems such as ERP. About the Author: Dr.-Ing. Max Hoffmann is a scientific researcher at the Institute of Information Management in Mechanical Engineering, RWTH Aachen University, Germany, and leads the group "Industrial Big Data". His research emphasizes on production optimization by means of data integration through interoperability and communication standards for industrial manufacturing and integrated analysis by using Machine Learning and stream-based information processing.

This volume gathers the latest fundamental research contributions, innovations, and applications in the field of design and analysis of complex robotic mechanical systems, machines, and mechanisms, as presented by leading international researchers at the 2nd USCToMM Symposium on Mechanical Systems and Robotics (USCToMM MSR), held in Rapid City, South Dakota, USA on May 19-21, 2022. It covers highly diverse topics, including soft, wearable and origami robotic systems; applications to walking, flying, climbing, underground, swimming and space systems; human rehabilitation and performance augmentation; design and analysis of mechanisms and machines; human-robot collaborative systems; service robotics; mechanical systems and robotics education; and the commercialization of mechanical systems and robotics. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting and impactful research results that will inspire novel research directions and foster multidisciplinary research collaborations among researchers from around the globe.

This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.

This book provides the latest technical information on sustainable materials that are feedstocks for additive manufacturing (AM). Topics covered include an up-to-date and extensive overview of raw materials, their chemistry, and functional properties of their commercial versions; a description of the relevant AM processes, products, applications, advantages, and limitations; prices and market data; and a forecast of sustainable materials used in AM, their properties, and applications in the near future. Data included are relative to current commercial products and are presented in easy-to-read tables and charts. Features Highlights up-to-date information and data of actual commercial materials Offers a broad survey of state-of the-art information Forecasts future materials, applications, and areas of R&D Contains simple language, explains technical terms, and minimizes technical lingo Includes over 200 tables, nearly 200 figures, and more than 1,700 references to technical publications, mostly very recent Handbook of Sustainable Polymers for Additive Manufacturing appeals to a diverse audience of students and academic, technical, and business professionals in the fields of materials science and mechanical, chemical, and manufacturing engineering.

This book highlights the importance of geothermal energy by studying its potential either alone or in combination with solar energy, focusing on its industrial application. Its starting point is to identify in a thorough and precise manner the barriers that hinder the implementation of geothermal energy in Spain and the European Union and the measures to be taken to achieve its diffusion and regular use. Next, the book looks at how geothermal energy could contribute to this sector and to the desalination industry in particular, analysing a specific case in the south of Spain and extrapolating its results to a set of existing desalination plants in the Spanish Mediterranean with really interesting results in terms of economic amortisation and CO2 emissions avoided to the atmosphere. Beyond the desalination industry, this work demonstrates that almost 85% of the industrial processes of all industry in Spain can be carried out with very low, low and medium temperature geothermal resources and even applies its results to a set of existing solar plants, comparing in economic terms the results already obtained with those that would have been obtained if geothermal energy had been applied.