Problem-solving and better thinking skills are among the top skills that employers are looking for. This book presents various methods of problem-solving that can be adapted to any field. It focuses on a set of a dozen new approaches with an ending result to finding better solutions to problems that you may have previously found difficult. The book discusses problem-solving based upon new thinking skills and presents the relationship between problem-solving and creativity. A connection between problem-solving and re-engineering is presented as the book explores the ability to tackle new and difficult problems in all aspects of life. It points you in the direction of how to easily find better solutions to problems that previously were found to be difficult. Target audience is general engineers, systems engineers, scientists, technologists, mathematicians, and lawyers.

Many engineers and scientists have receive little or no training in designed experiments, and any courses that are available tend to be either abstract and divorced from practical considerations or strictly practical-lacking the rigor and depth necessary for true, long-term understanding. Practical Guide to Designed Experiments: A Unified Modular Approach bridges that gap, presenting the essential material in a manner that permits rapid application to practical problems but also provides the structure and understanding necessary for long-term growth. It covers two-level and three-level full and fractional factorial design and also includes the L12 and L18 designs popularized by Taguchi. The author describes the role and selection of the system response for measurement and optimization and discusses both conventional and Taguchi approaches, noting their similarities and differences. Clearly written and well organized, this text shows how the components of experimental design fit and work together. Offering an abundance of examples, case studies, and practice problems, it is highly suited to anyone with a basic science or engineering background but little or no previous exposure to matrix experiments or other elements of planned experimentation.

Most of the business sectors consider the Digital Twin concept as the next big thing in the industry. A current state analysis of their digital counterparts helps in the prediction of the future of physical assets. Organizations obtain better insights on their product performance through the implementation of Digital Twins, and the applications of the technology are frequently in sectors such as manufacturing, automobile, retail, health care, smart cities, industrial IoT, etc. This book explores the latest developments and covers the significant challenges, issues, and advances in Digital Twin Technology. It will be an essential resource for anybody involved in related industries, as well as anybody interested in learning more about this nascent technology. This book includes: The future, present, and past of Digital Twin Technology. Digital twin technologies across the Internet of Drones, which developed various perceptive and autonomous capabilities, towards different control strategies such as object detection, navigation, security, collision avoidance, and backup. These approaches help to deal with the expansive growth of big data solutions. The recent digital twin concept in agriculture, which offers the vertical framing by IoT installation development to enhance the problematic food supply situation. It also allows for significant energy savings practices. It is highly required to overcome those challenges in developing advanced imaging methods of disease detection & prediction to achieve more accuracy in large land areas of crops. The welfare of upcoming archetypes such as digitalization in forensic analysis. The ideas of digital twin have arisen to style the corporeal entity and associated facts reachable software and customers over digital platforms. Wind catchers as earth building: Digital Twins vs. green sustainable architecture.

Presents theory, methods, and applications in a balanced manner Contains the most recent advances Written in a self-contained manner with proof of all results Provides research comprehension questions to help prepare researchers in completing their proposals Written by well-established researchers from renowned departments and laboratories

Recent computer-based tools for project planning and management focus on user-friendliness and interconnectivity. However, these programs function on the Critical Path Method, or CPM, which was created in the 1950s. These programs, which involve simplistic models and methods, ignore the fact that the underlying computations on which they function have become woefully inadequate for the complex projects of today. The product of nearly a decade of work, The Dynamic Progress Method: Using Advanced Simulation to Improve Project Planning and Management provides an overview of the research conducted while illustrating some of the issues with current approaches. It presents the Dynamic Progress Method (DPM), an innovative simulation-based approach to project management. It also includes instructions on how to use the accompanying DPM-based simulation tool pmBLOX to plan, manage, and analyze projects. This groundbreaking book is a must-have resource for project planning and management. It introduces a new and better way of planning, estimating, and managing projects that corrects some of the fundamental flaws of the CPM. It brings the computational integrity of planning simulations up to speed with modern needs, making it useful not only to current project managers but also to students who will become project managers.

This book is for everyone interested in systems and the modern practice of engineering. The revolution in engineering and systems that has occurred over the past decade has led to an expansive advancement of systems engineering tools and languages. A new age of information-intensive complex systems has arrived with new challenges in a global business market. Science and information technology must now converge into a cohesive multidisciplinary approach to the engineering of systems if products and services are to be useful and competitive. For the non-specialist and even for practicing engineers, the subject of systems engineering remains cloaked in jargon and a sense of mystery. This need not be the case for any reader of this book and for students no matter what their background is. The concepts of architecture and systems engineering put forth are simple and intuitive. Readers and students of engineering will be guided to an understanding of the fundamental principles of architecture and systems and how to put them into engineering practice. This book offers a practical perspective that is reflected in case studies of real-world systems that are motivated by tutorial examples. The book embodies a decade of research and very successful academic instruction to postgraduate students that include practicing engineers. The material has been continuously improved and evolved from its basis in defence and aerospace towards the engineering of commercial systems with an emphasis on speed and efficiency. Most recently, the concepts, processes, and methods in this book have been applied to the commercialisation of wireless charging for electric vehicles. As a postgraduate or professional development course of study, this book will lead you into the modern practice of engineering in the twenty-first century. Much more than a textbook, though, Essential Architecture and Principles of Systems Engineering challenges readers and students alike to think about the world differently while providing them a useful reference book with practical insights for exploiting the power of architecture and systems.

This book emphasizes the need to ask critical questions before implementing tools and their integration into the many applications in which industrial engineers work. This use of critical thinking will minimize the likelihood of mistakes that can result in the wasting of finite resources and the possible loss of life. Included in this book are examples, both successful and unsuccessful, for each of the functions on which industrial engineers focus. These examples include the critical questions that were asked that resulted in success and those questions that were not asked that resulted in failure. Integration of Methods Improvement and Measurement into Industrial Engineering Functions is applicable to students, new graduates, and practitioners in the areas of industrial engineering, human factors, materials processing, quality control, asset management, production control, and supply chain management, as well as those concerned with safety issues.

Focusses on model based systems engineering and describes the architecture of the systems design models Uses real-world examples to corroborate different and disparate systems engineering activities Describes and applies the Vee systems engineering design methodology, with cohesive examples and application of designing systems Discusses culture change and the skills people need to design and integrate systems Shows detailed and cohesive examples of the systems engineering tools throughout the systems engineering lifecycle

This book focus on the product design process. It follows a holistic approach covering conceptual design, design methodologies, sustainability, manufacturing, product analysis, materials, design and manufacturing technologies. The reader can find interesting cases about industrial design, 3D printing and 4D printing for wearables. The axiomatic design methodology is presented together with applications in machine learning and knowledge-based systems. Research about personalized fashion and professional uniform evaluations methods are included. Finally, the digital transformation, aesthetic design and the use of materials in orthopedic design is present.

This book explains concepts and techniques for business analytics and demonstrate them on real life applications for managers and practitioners. It illustrates how machine learning and optimization techniques can be used to implement intelligent business automation systems. The book examines business problems concerning supply chain, marketing & CRM, financial, manufacturing and human resources functions and supplies solutions in Python.

This book introduces models and methodologies that can be employed towards making the Industry 4.0 vision a reality within the process industries, and at the same time investigates the impact of uncertainties in such highly integrated settings. Advances in computing power along with the widespread availability of data have led process industries to consider a new paradigm for automated and more efficient operations. The book presents a theoretically proven optimal solution to multi-parametric linear and mixed-integer linear programs and efficient solutions to problems such as process scheduling and design under global uncertainty. It also proposes a systematic framework for the uncertainty-aware integration of planning, scheduling and control, based on the judicious coupling of reactive and proactive methods. Using these developments, the book demonstrates how the integration of different decision-making layers and their simultaneous optimisation can enhance industrial process operations and their economic resilience in the face of uncertainty.

This highly illustrated book presents the essential information and major constituents of laser welding, including laser brazing and laser-arc hybrid welding. Students, engineers, researchers, scientists, specialists, professors, consultants, designers, and executives worldwide will fully grasp the fundamentals, the present state, and the applications of laser welding. Welding phenomena, formation mechanisms and preventive procedures of welding defects, and process monitoring and adaptive control are especially emphasized, because understanding these aspects of laser welding greatly improves the performance of work and research and solves many problems in the field. Finally, the book shows how increasingly widespread use of a variety of materials is bringing major advances to laser welding.

This book provides some recent research advances in the field of lean manufacturing. Its content is of interest to students in management and production engineering. Topics covered include Just in Time (JIT), Kaizen activities and Critical Metrics. The chapters are written by worldwide well-known experts in the field.

The book uses a systems-based approach to show how innovation is pervasive in all facets of endeavors, including business, industrial, government, the military, and even academia. It presents chapters that provide techniques and methodologies for achieving the transfer of science and technology assets for innovation applications. By introducing Innovation, the book and offers different viewpoints, both qualitative and quantitative. It includes the role that systems can play and discusses approaches along technical and process issues. There is a showcase of innovation applications, and coverage on how to manage innovation individually as well as within a team and it also includes how to develop, manage, and sustain innovation in various organizations. Open-ended questions and exercises are included at the end of chapters with no need for a solutions manual. Written for the advance-level textbook market as well as for the professional reader, it targets those within the engineering, business, and management fields.

The book develops manufacturing concepts and applications beyond physical production and towards a wider manufacturing value chain incorporating external stakeholders that include suppliers of raw materials and parts, customers, collaborating manufacturing companies, manufacturing service providers, and environmental organisations. The focal point of the value chain remains as a manufacturing system and its operations whiles flows of parts/materials and information and services across the supply/value chain tiers are taken into account. The book emphasises on the two innovative paradigms of Reconfigurable Manufacturing Systems (RMS) and the 4th industrial revolution (Industry 4.0) along with their incorporated development. RMS, as a relatively new paradigm, has been introduced to meet the requirements of 'the factories of the future', which is aimed by Industry 4.0, though introducing greater responsiveness and customised flexibility into production systems, in which changes in product volumes and types occur regularly. Manufacturing responsiveness can be achieved by RMS through reconfiguring the production facilities according to changing demands of products and new market conditions. The book addresses challenges of mass-customisation and dynamic changes in the supply-chain environment by focusing on developing new techniques related to integrability, scalability and re-configurability at a system level and manufacturing readiness in terms of financial and technical feasibility of RMS. It demonstrate the expected impacts of an RMS design on operational performance and its supply/value chain in the current/future manufacturing environment facing dynamic changes in the internal/external circumstances. In order to establish a circular economy through the RMS value chain, an integrated data-based reconfiguration link is introduced to incorporate information sharing amongst the value chain stakeholders and facilitate grouping products into families with allocation of the product families to the corresponding system configurations with optimal product-process allocation. Decision support systems such as multi criteria decision making tools are developed and applied for the selection of product families and optimising product-process configuration. The proposed models are illustrated through real case studies in applicable manufacturing firms.

This book examines Multi-Criteria Decision Modelling (MCDM) methodologies and facilitates diverse ways for strategic decision-making in a variety of practical applications. This book also provides a pragmatic foundation for solving real-life problems in different scenarios of emerging global markets. Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies depicts the use of sensitivity analysis and modelling and includes case studies to understand and illustrate challenging concepts. It also offers step-by-step comprehensive methodologies for the utilization of MCDM to a variety of situations. The book deliberates ways for companies to use these methods to their advantage in order to achieve sustainability. Furthermore, it also presents an overview of the major streams of thought and provides a holistic view of the latest research and development trends in modelling and optimization. FEATURES Offers a stepwise comprehensive methodology for the application of MCDM to a variety of situations Presents an overview of the major streams of thought present in the MCDM technique Provides a holistic view of the latest research and development trends in the emerging markets in terms of modelling and optimization using MCDM for different industrial sectors Illuminates a practical foundation in order to provide a guide to address the problems of emerging markets Enlightens the ways for companies to use these methods to their advantage to be able to achieve sustainability This book is a guide for those performing decision analysis for academic purposes as well as for researchers aspiring to expand their knowledge on MCDM problem solving.

Mathematical models are used to convert real-life problems using mathematical concepts and language. These models are governed by differential equations whose solutions make it easy to understand real-life problems and can be applied to engineering and science disciplines. This book presents numerical methods for solving various mathematical models. This book offers real-life applications, includes research problems on numerical treatment, and shows how to develop the numerical methods for solving problems. The book also covers theory and applications in engineering and science. Engineers, mathematicians, scientists, and researchers working on real-life mathematical problems will find this book useful.

Presents an elucidative discussion about productivity and efficiency, illustrating its potentials of use and conceptual differencesCovers the concepts and techniques for analysis of productivity and efficiency, analyzing critical benefits and limitations Explains didactically and in detail how to use DEA for analysis of productivity and efficiency Provides an innovative method for using DEA Offers a free online computer tool to operationalize the concepts and method proposed in the book

Responsible Manufacturing has become an obligation to the environment and to society itself, enforced primarily by customer perspective and governmental regulations on environmental issues. This is mainly driven by the escalating deterioration of the environment, such as diminishing raw material resources, overflowing waste sites, and increasing levels of pollution. Responsible Manufacturing related issues have found a large following in industry and academia, which aim to find solutions to the problems that arise in this newly emerged research area. Problems are widespread, including the ones related to the lifecycle of products, disassembly, material recovery, remanufacturing, and pollution prevention. Organized into sixteen chapters, this book provides a foundation for academicians and practitioners, and addresses several important issues faced by strategic, tactical, and operation planners of Responsible Manufacturing. Using efficient models in a variety of decision-making situations, it provides easy-to-use mathematical and/or simulation modeling-based solution methodologies for the majority of the issues. Features Addresses a variety of state-of-the-art issues in Responsible Manufacturing Highlights how popular industrial engineering and operations research techniques can be effectively exploited to find the most effective solutions to problems Presents how a specific issue can be approached or modeled in a given decision-making situation Covers strategic, tactical, and operational systems issues Provides a foundation for academicians and practitioners interested in building bodies of knowledge in this new and fast-growing area

Supply chain management decisions are made under the conflicting criteria of maximizing profit and customer responsiveness while minimizing supply chain risk. Multiple Criteria Decision Making in Supply Chain Management provides a comprehensive overview of multi-criteria optimization models and methods that can be used in supply chain decision making. Presenting the contributions of internationally known authors, researchers, educators, and practitioners, this new book in the Operations Research Series provides readers with a single source guide to recent developments in this area. The focus of the book is on the design and operation of the supply chain system, which involves connecting many production and distribution systems, often across wide geographic distances, in such a way that the businesses involved can ultimately satisfy the consumer demand as efficiently as possible, resulting in maximum financial returns to those businesses connected to that supply chain system. The book includes several case studies on the design and operation of supply chain networks in manufacturing and healthcare.

Developing and maintaining a disciplined management system provides any organization with a blueprint for exceptional performance and success. Indeed, for larger multinational corporations, a management system is a critical component for sustainable growth and performance management. In this book, the authors discuss a series of fundamentals for creating an operationally excellent management system (OEMS). The book also examines the business performance impact of an OEMS across leading gas and oil organizations, such as Exxon Mobil, BP, Suncor, and Chevron. In 7 Fundamentals of an Operationally Excellent Management System, the authors discuss each fundamental in detail and provide the supporting training and workshop materials that are essential for integrating these fundamentals into the business processes of the organization. The seven fundamentals identified by the authors provide a sequential approach for developing and executing an OEMS across any organization. Integrating sound organizational and business practices with personnel and process safety management principles, the book is an invaluable resource for organizations seeking operational discipline and excellence. Well-supported with graphics and practical examples, the book provides a simple pathway for an organization to evolve its management system into an OEMS designed to reduce workplace incidents and improve business performance on a sustainable basis. The management system principles discussed in the book are intended for the business leader who is motivated to transition his or her organization from ordinary, through best in class, to an organization of world-class stature and performance.

Inventory Planning with Innovation: A Cost Focus discusses inventory planning concepts with major emphasis on innovation to reduce cost in a single volume. Provides an understanding of innovation efforts and linking it with inventory planning in reducing cost. Offers various factors influencing innovation efforts, knowledge of investment or expenditure that might be estimated before starting the innovation efforts, purchase inventory, and the manufacturing inventory. Covers important concepts including innovation efforts, strategic period, procurement inventory, total cost estimation, production inventory, related total cost planning, multiple products, multiple items procurements, and multiple items manufacture. This reference is primarily written for senior undergraduate, graduate students, and professionals in the field of industrial engineering, production engineering, and manufacturing science.

This book focuses on new developments in polytopic projects, particularly on implementation domains and case studies, as well as high-dimensional methodology. Polytopic projects are based on a general reference architecture inspired and shared by the functional organization of organisms and enterprises as informational and cognitive systems, the scientific and engineering methodology and the operational structure of existing self-evolvable and self-sustainable systems.

This book introduces readers to the core principles and methodologies of product development, and highlights the interactions between engineering design and industrial design. It shows to what extent the two cultures can be reconciled, and conversely what makes each of them unique. Although the semantic aspect is fundamental in industrial design, while the functional aspect is essential for the industrial product, the interaction between the two worlds is strategically vital. Design is also a strategic problem-solving process that drives innovation, builds business success and leads to better quality of life through innovative products, systems, services and experiences. The book connects product development with the concepts and strategies of innovation, recognizing that product design is a complex process in which invention, consumers' role, industrial technologies, economics and the social sciences converge. After presenting several examples of artifacts developed up to the conceptual phase or built as prototypes, the book provides a case study on a packaging machine, showcasing the principles that should underlie all design activities, and the methods that must be employed to successfully establish a design process. The book is primarily targeted at professionals in the industry, design engineers and industrial designers, as well as researchers and students in design schools, though it will also benefit any reader interested in product design.