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Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management
The fundamental motivation of this book is to contribute to the future advancement of Asset Management in the context of industrial plants and infrastructures. The book aims to foster a future perspective that takes advantage of value-based and intelligent asset management in order to make a step forward with respect to the evolution observed nowadays. Indeed, the current understanding of asset management is primarily supported by well-known standards. Nonetheless, asset management is still a young discipline and the knowledge developed by industry and academia is not set in stone yet. Furthermore, current trends in new organizational concepts and technologies lead to an evolutionary path in the field. Therefore, this book aims to discuss this evolutionary path, starting first of all from the consolidated theory, then moving forward to discuss: * The strategic understanding of value-based asset management in a company; * An operational definition of value, as a concept on the background of value-based asset management; * The identification of intelligent asset management, with the aim to frame a set of "tools" recommended to support the asset-related decision-making process over the asset lifecycle; * The emergence of new technologies such as cyber physical systems and digital twins, and the implications of this on asset management.
Praise for "Performance Management" "We are witnessing a convergence among advanced management
concepts and practices. Performance management is a means to pull
it all together, to understand the strengths and limitations of
each management practice and leverage it for competitive advantage.
Cokins' book walks us through all this in a manner that makes
something confusing much less so. "Gary Cokins has articulated the '411' of performance
management. His combination of personal anecdotes with fundamental
cost and performance management theories provides business leaders
at all levels, in any industry or profession, a solid resource for
practicing their work.
* The first real AI in project management book on the market published by a respected press * Provides behind-the-scenes insights on what technology providers are planning for project managers * Explores how AI will reinvent project, programme, and portfolio management, allowing project managers to get back to focusing on people
This book presents scheduling with a medium- and short-term focus, which makes it possible to capitalize on fleeting market opportunities while simultaneously working to reconcile economic and environmental priorities. It introduces a new mixed-integer approach to hierarchical discrete-time and continuous-time scheduling, combining aspects of production and recycling, forward and reverse logistics as well as emissions trading for multi-stage supply chain networks. Problem-specific variants of relax-and-fix heuristics and genetic algorithms are also proposed. Given its scope, the book provides a range of practical tools and new perspectives for researchers and professionals in the field of supply chain management.
This book describes how manufacturing enterprises, by reinforcing their existing monitoring and control of manufacturing processes, can successfully face the ever-increasing pressure from internal and external environments to maintain their competitive advantage. Numerous performance measurement systems have been elaborated to satisfy these requirements, stressing the importance of financial and operational metrics. It also highlights the fact that research on generating and linking financial and operational metrics, especially in real-time, has not garnered sufficient attention to date. The book follows an approach that integrates enterprises across different levels and departments. By computing and linking the financial and operational metrics in real-time, the book demonstrates how to provide a comprehensive view of an entire enterprise.
Technological developments in recent years have been tremendous. This evolution is visible in companies through technological equipment, computerized procedures, and management practices associated with technologies. One of the management practices that is visible is related to business intelligence and analytics (BI&A). Concepts such as data warehousing, key performance indicators (KPIs), data mining, and dashboards are changing the business arena. This book aims to promote research related to these new trends that open up a new field of research in the small and medium enterprises (SMEs) area. Features Focuses on the more recent research findings occurring in the fields of BI&A Conveys how companies in the developed world are facing today's technological challenges Shares knowledge and insights on an international scale Provides different options and strategies to manage competitive organizations Addresses several dimensions of BI&A in favor of SMEs
Authored by a team of experts, the new edition of this bestseller presents practical techniques for managing inventory and production throughout supply chains. It covers the current context of inventory and production management, replenishment systems for managing individual inventories within a firm, managing inventory in multiple locations and firms, and production management. The book presents sophisticated concepts and solutions with an eye towards today's economy of global demand, cost-saving, and rapid cycles. It explains how to decrease working capital and how to deal with coordinating chains across boundaries.
Management of new technologies is a critical factor in achieving global competitiveness. A recent survey of managers in the United States revealed that the implementation of new and advanced technologies is the most popular strategy in achieving global competitiveness. This book explores the role of technology in that context. The book identifies the role of new technologies in improving quality and shows that adopting a strategic total quality management will, in fact, lead to improved productivity and survivability of the firm. A thorough comparison of the Japanese and American production management practices is presented. This in-depth analysis helps to identify the problems of managing new technologies and shows that human resources management is a critical factor that should not be overlooked. Other strategies for improving global competitiveness are presented. Each of the five sections of the book deals with a major thrust that confronts management of new technologies. The book also discusses information system management and product design. The book uses real-life cases, models, and conceptual frameworks to support the views presented. Productivity, quality, and competitiveness are all related to technology. The success of Japanese corporations in achieving quality management has impelled the U.S. executives to listen and re-evaluate their management practices. Increasingly, many managers believe that new, advanced technologies can contribute to improving the productivity, quality, and competitiveness of a firm. However, simply adopting a new technology will not put an end to productivity and/or quality problems. This fact is most apparent in the case of computer-integrated manufacturing. The islands of automation that have resulted convinced many that effective management of new technologies is necessary in order to exploit any potential benefits. This book focuses on efficient management techniques and looks at the critical areas that can enhance the performance of a firm as a result of the adoption of new technologies. The book is divided into five sections: The total quality management section contains four chapters that present a comparison between the Japanese and American production practices. This section also presents a new way to measure the performance of a firm---not just by the direct quality of the product or service produced, but also by the sensitivity and responsibility of the firm to environmental and greening issues. The selection and implementation of new technologies section discusses the problems associated with the cost-accounting techniques in justifying new technologies and uses a multicriteria decision framework to show how this decision could be made. The strategic management section presents issues on production innovation and performance; The knowledge-based techniques section investigates the role of artificial intelligence and expert systems in the management of new technologies. Finally, the product design and inventory management section discusses the role of product design and reduced lot sizes in achieving a competitive advantage.
Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research. Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Presented are an array of the latest contemporary tools -- math modeling to tabu search to genetic algorithms -- that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems.
This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.
This series of books focuses on highly specialized Emergency Management arrangements for healthcare facilities and organizations. It is designed to assist any healthcare executive with a body of knowledge which permits a transition into the application of emergency management planning and procedures for healthcare facilities and organizations.This series is intended for both experienced practitioners of both healthcare management and emergency management, and also for students of these two disciplines.
This book examines inventory and production strategies that can reduce unexpected breakdown costs. It highlights different EPQ models to deal with such problems, providing optimal value derivations for decision variables. It provides proofs for concavity or convexity of objective functions. The chapters also include numerical examples for all the developed mathematical models. Imperfect Inventory Systems: Inventory and Production Management and Breakdown should be useful for professionals working on supply chains, but also researchers in operations research and inventory management.
Lean is about building and improving stable and predictable systems and processes to deliver to customers high-quality products/services on time by engaging everyone in the organization. Combined with this, organizations need to create an environment of respect for people and continuous learning. It's all about people. People create the product or service, drive innovation, and create systems and processes, and with leadership buy-in and accountability to ensure sustainment with this philosophy, employees will be committed to the organization as they learn and grow personally and professionally. Lean is a term that describes a way of thinking about and managing companies as an enterprise. Becoming Lean requires the following: the continual pursuit to identify and eliminate waste; the establishment of efficient flow of both information and process; and an unwavering top-level commitment. The concept of continuous improvement applies to any process in any industry. Based on the contents of The Lean Practitioners Field Book, the purpose of this series is to show, in detail, how any process can be improved utilizing a combination of tasks and people tools and introduces the BASICS Lean (R) concept. The books are designed for all levels of Lean practitioners and introduces proven tools for analysis and implementation that go beyond the traditional point kaizen event. Each book can be used as a stand-alone volume or used in combination with other titles based on specific needs. Each book is chock-full of case studies and stories from the authors' own experiences in training organizations that have started or are continuing their Lean journey of continuous improvement. Contents include valuable lessons learned and each chapter concludes with questions pertaining to the focus of the chapter. Numerous photographs enrich and illustrate specific tools used in Lean methodology. Implementing Lean: Converting Waste to Profit explores implementation methods, line balancing methods, including baton zone or bumping, and implementing Lean in the office and machine shops. The goal of this book is to introduce the balance of the tools and how to proceed once the analysis is completed. There are many pieces to a Lean implementation and all of them are interconnected. This book walks through the relationships and how the data presented can be leveraged to prepare for the implementation. It also provides suggest solutions for improvements and making recommendations to management to secure their buy-in and approval.
Since the emerging discipline of engineering enterprise systems extends traditional systems engineering to develop webs of systems and systems-of-systems, the engineering management and management science communities need new approaches for analyzing and managing risk in engineering enterprise systems. Advanced Risk Analysis in Engineering Enterprise Systems presents innovative methods to address these needs. With a focus on engineering management, the book explains how to represent, model, and measure risk in large-scale, complex systems that are engineered to function in enterprise-wide environments. Along with an analytical framework and computational model, the authors introduce new protocols: the risk co-relationship (RCR) index and the functional dependency network analysis (FDNA) approach. These protocols capture dependency risks and risk co-relationships that may exist in an enterprise. Moving on to extreme and rare event risks, the text discusses how uncertainties in system behavior are intensified in highly networked, globally connected environments. It also describes how the risk of extreme latencies in delivering time-critical data, applications, or services can have catastrophic consequences and explains how to avoid these events. With more and more communication, transportation, and financial systems connected across domains and interfaced with an infinite number of users, information repositories, applications, and services, there has never been a greater need for analyzing risk in engineering enterprise systems. This book gives you advanced methods for tackling risk problems at the enterprise level.
Cybernetics is about having a goal and taking action to achieve that goal. Knowing whether you have reached your goal (or at least are getting closer to it) requires "feedback", a concept that was made rigorous by cybernetics. The subject of Cybernetic Synergy, although emanating from a socio-economic experiment of economic control by cybernetic means in Chile in the early 1970s, has never been approached as an applied subject in its own right. Indeed, the subject of applied cybernetics has never been addressed as a separate issue, although it has been shown that the overall subject of cybernetics applies to a wide range of disciplines, from biology to business via mathematics and engineering. Cybernetic synergy is the study of relationships and controls of and between corporate entities, on an external basis, and departments within corporate entities, on an internal basis. It concerns the decision-making process, and how decisions can be made based on feedback from any part of the organization being managed. It therefore concerns the issue of input of raw material or information, the output of the transformed information and materials, and the rectification of any issue based on negative feedback related to the productive process. It investigates not only the basic theory of the subject but also its applications in the commercial and business environment, as well as touching on government and administrative issues where shortcomings have emerged owing to a lack of synergy and communication. There are already several books available on the subject to cybernetics, but they are all concerned with mathematical approaches along with very heavy technical texts, most of which are completely alien to the layman or the simple practitioner. Furthermore, other than references to business or economic practice in some books, there has never been a book published purely about the subject of applied cybernetics relating to business practices. The book covers the subjects of management and economic cybernetics, and how the theory of cybernetic control can be used to manage business and government functions, whether small, medium or large. It looks at the history of cybernetics, and how some pioneering cybernetic concepts were used in Chile in the early 1970s to manage the Chilean economy. It uses these same principles, along with later cybernetic models, to show how such concepts can be applied to the present-day economy and business practices. It examines present-day business practices and shows how weaknesses in these systems can be addressed and eliminated by the application of cybernetic practices. The aims of the book are to provide an insight into the subject of management and business cybernetics, using the principle of cybernetic synergy, to resolve intra-corporate issues and create more efficient business practices based on simple command-and-control processes. Essentially, this book provides an in-depth insight into the use of cybernetics in business and administration environments, and would explain how cybernetics is a valuable tool in resolving corporate issues concerning efficiency and overall control. It would give a detailed explanation of the various practices and functions involved in business operations and practices.
Total Quality Management (TQM) - the art of continuous improvement with customer satisfaction as the goal - has become the rallying cry of American businesses, government agencies, and voluntary organizations alike. With lessons from such quality-oriented companies as Motorola, Zytec, and Xerox, The Race Without a Finish Line shows how TQM can be used to help organizations deliver the variety, customization, and timeliness today's customers demand. Based on interviews and site visits with twelve Baldrige Award-winning companies, as well as with two winners of the President's Quality and Productivity Award, The Race Without a Finish Line is a complete guide to implementing TQM in all organizations - private and public. The experiences of leading-edge companies will help managers assess their organization's readiness for the transition and prepare for the cultural revolution required to truly embrace quality. The Race Without a Finish Line shows how to teach employees vital TQM skills - such as teamwork, openness, trust, and collaboration - and how to set up rewards and communications systems that reinforce these values. It offers an insider's guide to winning the Baldrige and President's awards as well as resources to facilitate the implementation of TQM, including a glossary of key terms, a directory of TQM centers, and a bibliography of other TQM publications.
This book helps business leaders see how employees, companies, and missions all interact with each other, as well as with society at large, in systems and subsystems at various levels. It helps leaders learn how to connect the dots, becoming customer-centric in everything they do and then spreading the same goals down to their supply chains. The book discusses what is, and what is not, leadership, covering such topics as statistics-based management, process-improvement, and human resources. The author accomplishes this through a blend of Lean culture and managerial theory, as well as his military experience. In addition, the author contrasts many opposing subjects, such as efficiencies of scale versus efficiencies of build, automation versus process improvement, process innovation versus product innovation, technical versus tactical proficiency, and pull versus push production. With most books focused on Lean initiatives, there is a tremendous amount of benefit involved in creating customer value while reducing waste, but this book takes a holistic approach, blending in modern managerial theory, team leadership skills, and economics. The result is a book that changes how the reader approaches business. Essentially, the purpose of this book is to blend modern management theories with the culture of Lean (and perhaps a sprinkling of economics) to show current business leaders how to create organizations that are as customer-oriented and highly efficient in delivering value as possible. If one thinks of each role in an organization as a spot on an assembly line, where everything each person does creates output someone else uses, the question becomes whether or not each person's activities maximize the effectiveness of others. Do we, as organizations, set ourselves up for success or for failure? Most companies, if they answer honestly, would say, "A little bit of both." This book is about helping those companies improve.
For graduate level courses in Operations Management or Business Processes. A structured, data-driven approach to understanding core operations management concepts. Anupindi shows how managers can design and manage process structure and process drivers to improve the performance of any business process. The third edition retains the general process view paradigm while providing a sharper, more streamlined presentation of the development of ideas in each chapter-all of which are illustrated with contemporary examples from practice.
This book comprehensively outlines what a holistic and effective Root Cause Analysis (RCA) system looks like. From the designing of the support infrastructure to the measuring of effectiveness on the bottom-line, this book provides the blueprint for making it happen. While traditionally RCA is viewed as a reactive tool, the authors will show how it can be applied proactively to prevent failures from occurring in the first place. RCA is a key element of any successful Reliability Engineering initiative. Such initiatives are comprised of equipment, process and human reliability foundations. Human reliability is critical to the success of a true RCA approach. This book explores the anatomy of a failure (undesirable outcome) as well as a potential failure (high risks). Virtually all failures are triggered by errors of omission or commission by human beings. The methodologies described in this book are applicable to any industry because the focus is on the human being's ability to think through why things go wrong, not on the industry or the nature of the failure. This book correlates reliability to safety as well as human performance improvement efforts. The author has provided a healthy balance between theory and practical application, wrapping up with case studies demonstrating bottom-line results. Features Outlines in detail every aspect of an effective RCA 'system' Displays appreciation for the role of understanding the physics of a failure as well as the human and system's contribution Demonstrates the role of RCA in a comprehensive Asset Performance Management (APM) system Explores the correlation between Reliability Engineering and Safety Integrates the concepts of Human Performance Improvement, Learning Teams, and Human Error Reduction approaches into RCA
This fully updated new edition of a respected text retains the original's comprehensive and practical approach to food supply chain management, and introduces a global perspective and a wide range of new material. More than ever, this is the food supply chain management textbook. With an introduction that speaks to academic and non-academic audiences alike, the second edition of Food Supply Chain Management covers all-new topics such as cold chain management, "last mile" logistics, blockchain and traceability in the food supply chain, and the implications of global trade and climate change. Case studies examine the farm-to-table movement, sustainable co-ops, and more, with "quick facts" and mini-cases that are engaging and thought-provoking. This textbook is appropriate for upper-level undergraduate and postgraduate students of agricultural business, natural resources, and food science, as well as supply chain management students. Supporting online materials include lecture slides, test banks, and instructor manuals.
Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization. In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making the book a valuable reference for researchers, technical professionals, and students.
Practical, up-to-date coverage for a new generation of engineering and management professionals. Lawrence S. Aft’s Productivity, Measurement, and Improvement has long served as a seminal reference for students and professionals in industrial engineering, quality management, and other related fields. Now Work Measurement and Methods Improvement brings his work right up to date with the demands of today’s rapidly changing marketplace, where work measurement and methods improvement have a vital role to play in improving quality and enhancing productivity in a wide range of industries. Accessible and easy to follow, this book presents solid, practical coverage of the key principles and practices of work measurement. It explains the purpose, use, advantages, and limitations of tools and methods for:
With straightforward examples, chapter-end summaries, review questions, and practice exercises that emphasize the application of fundamental concepts, Work Measurement and Methods Improvement is an essential reference for current and future professionals who must do the work and manage the process to achieve better quality, higher productivity, and powerhouse performance for their organization.
A one-of-a-kind presentation of the major achievements in statistical profile monitoring methods Statistical profile monitoring is an area of statistical quality control that is growing in significance for researchers and practitioners, specifically because of its range of applicability across various service and manufacturing settings. Comprised of contributions from renowned academicians and practitioners in the field, "Statistical Analysis of Profile Monitoring" presents the latest state-of-the-art research on the use of control charts to monitor process and product quality profiles. The book presents comprehensive coverage of profile monitoring definitions, techniques, models, and application examples, particularly in various areas of engineering and statistics. The book begins with an introduction to the concept of profile monitoring and its applications in practice. Subsequent chapters explore the fundamental concepts, methods, and issues related to statistical profile monitoring, with topics of coverage including: Simple and multiple linear profilesBinary response profilesParametric and nonparametric nonlinear profilesMultivariate linear profiles monitoringStatistical process control for geometric specificationsCorrelation and autocorrelation in profilesNonparametric profile monitoring Throughout the book, more than two dozen real-world case studies highlight the discussed topics along with innovative examples and applications of profile monitoring. "Statistical Analysis of Profile Monitoring" is an excellent book for courses on statistical quality control at the graduate level. It also serves as a valuable reference for quality engineers, researchers and anyone who works in monitoring and improving statistical processes.
Additive Manufacturing and 3D Printing Technology: Principles and Applications consists of the construction and working details of all modern additive manufacturing and 3D-printing technology processes and machines, while also including the fundamentals, for a well-rounded educational experience. The book is written to help the reader understand the fundamentals of the systems. This book provides a selection of additive manufacturing techniques suitable for near-term application with enough technical background to understand the domain, its applicability, and to consider variations to suit technical and organizational constraints. It highlights new innovative 3D-printing systems, presents a view of 4D printing, and promotes a vision of additive manufacturing and applications toward modern manufacturing engineering practices. With the block diagrams, self-explanatory figures, chapter exercises, and photographs of lab-developed prototypes, along with case studies, this new textbook will be useful to students studying courses in Mechanical, Production, Design, Mechatronics, and Electrical Engineering.
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