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Books > Business & Economics > Business & management > Management & management techniques > Operational research
Based on the established textbook by Slack, Chambers and Johnston, the third revised edition of Operations Management: Global & SA Perspectives has been adapted for the unique Southern African context while keeping the global context in mind.
What is the relationship between logistics and supply chain management? What factors need to be taken into account when designing a supply chain? How do you forecast your supply chain requirements? What inventory concepts do you need to know? Business Logistics Management fifth edition covers concepts and theories relating to the movement of goods, and the coordination of the supply chain. Features:
After many years of continuous development, operational risk management can now be regarded as an important and independent management discipline in its own right. It is a value-adding activity that has a direct or indirect impact on the bottom-line performances of organisations. It is fundamentally concerned with good governance and involves consistent alertness and continuous improvement. As a result, it is essential for business managers at all levels to understand the concept of operational risk management and its methodologies. Operational risk management will assist organisations to develop and implement an operational risk management process that will support the achievement of business objectives in a way that proactively addresses risk exposures and identifies potential business opportunities. In addition, Operational risk management attempts to bridge the gap that exists between some of the theoretical concepts of operational risk and the practical implementation. It deals firstly with the development phases of operational risk, and then illustrates the effective application of an operational risk management process. It also discusses relevant issues in the field and how to deal with risk exposures that could disrupt business processes and systems, with the achievement of business objectives and with the wellbeing of employees. Operational risk management is aimed at students, as well as at managers interested in the management of operational risk.
The 29th European Symposium on Computer Aided Process Engineering, contains the papers presented at the 29th European Symposium of Computer Aided Process Engineering (ESCAPE) event held in Eindhoven, The Netherlands, from June 16-19, 2019. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students, and consultants for chemical industries.
Business Logistics Management covers concepts and theories relating to
the movement of goods, the coordination of supply chain, the most
recent advances in logistics technology, the exchange of information,
and the impact on business within the logistics management framework.
The textbook has been written to suit undergraduate courses at both
universities, universities of technology, and business schools and is
flexible to meet the needs various course structures.
Stampede Theory: Human Nature, Technology, and Runaway Social Realities explores the biological, evolutionary, and technological systems that drive troubling patterns of behavior among groups and proposes actions to help combat their potential to do harm. It discusses the different ways that living beings coordinate, and how the emergence of communication technologies has changed that for people. As the problem of echo chambers and misinformation grows, it is crucial to understand the underlying causes and provide solutions-this book does just that. Stampede Theory pulls from multiple fields to produce a coherent story about how social realities are created and how they can create resilient communities or reinforce damaging beliefs. This interdisciplinary approach rests on three primary pillars: 1) How information systems affect the distribution of ideas, information, influence and belief; 2. Technology-mediated communication between individuals and groups, from stories pressed into clay tablets to "likes" on social media; 3) The sociology of behavioral bias in groups ranging from teams to nations. Because of its interdisciplinary foundations, the book includes chapters that address behavioral economics, cults, artificial intelligence, and the individual psychology of belief. These chapters offer perspective on how belief systems form, how they affect behavior, and how they are influenced by technology-mediated communication. Most importantly, this book explains how to design interventions that will improve the quality of our collective information and indirectly, our behavior, using clear, measurable criteria that indicate dangerous misinformation based on the way that humans and software agents are interacting with it. Stampede Theory is a valuable resource for a range of readers, from political and social scientists to decision makers in government and business, scientists in the fields of machine learning and AI, and media professionals, who are working to make sense of the world in a time of vast amounts of misinformation and polarization.
Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. Further, the book introduces how to design MDM platforms that adapt to the evolving mobility environment, new types of transportation, and users based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This volume focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile big data mining.
Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book introduces how to design MDM platforms that adapt to the evolving mobility environment and new types of transportation and users. This helpful guide provides a basis for how to simulate and predict mobility data. After an introductory theory chapter, the book then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, Grid-based population density prediction, and more. The book concludes with a chapter on graph-based mobility data analytics. The information in this work is crucial for researchers, engineers, operators, company administrators, and policymakers in related fields, to comprehensively understand current technologies' infra-knowledge structure and limitations.
Numerical Methods in Environmental Data Analysis introduces environmental scientists to the numerical methods available to help answer research questions through data analysis. One challenge in data analysis is misrepresentation of datasets that are relevant directly or indirectly to the research. This book illustrates new ways of screening dataset or images for maximum utilization, introducing environmental modeling, numerical methods, and computations techniques in data analysis. Throughout the book, the author includes case studies that provide guidance on how to translate research questions into appropriate models. Individuals working with data sets or images generated from environmental monitoring centers or satellites will find this book to be a concise guide for analyzing and interpreting their data.
Across the world, companies are trying to create a sustainable platform through a supply chain to minimize the environmental impact of their product lines and services on the world's ecosystem. Enhancing eco-awareness at every operational level of business operations can positively improve a specific organization's reputation and legitimize business operation. Furthermore, sustainable supply chain operations also positively contribute to financial performance by enhancing productivity and cost-saving. Emerging Trends in Sustainable Supply Chain Management and Green Logistics provides relevant practical and theoretical frameworks and the latest empirical research results in sustainable supply chain management and considers the strategic role of green logistics and supply chain management, proper treatment of end-of-life products recycling, emerging trends, and improvements in supply chain management and logistics operations. Covering key topics such as green purchasing, circular economy, and sustainable development, this reference work is ideal for industry professionals, business owners, managers, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.
The Feature-Driven Method for Structural Optimization details a novel structural optimization method within a CAD framework, integrating structural optimization and feature-based design. The book presents cutting-edge research on advanced structures and introduces the feature-driven structural optimization method by regarding engineering features as basic design primitives. Consequently, it presents a method that allows structural optimization and feature design to be done simultaneously so that feature attributes are preserved throughout the design process. The book illustrates and supports the effectiveness of the method described, showing potential applications through numerical modeling techniques and programming. This volume presents a high-performance optimization method adapted to engineering structures-a novel perspective that will help engineers in the computation, modeling and design of advanced structures.
Demand for Emerging Transportation Systems: Modeling Adoption, Satisfaction, and Mobility Patterns comprehensively examines the concepts and factors affecting user quality-of-service satisfaction. The book provides an introduction to the latest trends in transportation, followed by a critical review of factors affecting traditional and emerging transportation system adoption rates and user retention. This collection includes a rigorous introduction to the tools necessary for analyzing these factors, as well as Big Data collection methodologies, such as smartphone and social media analysis. Researchers will be guided through the nuances of transport and mobility services adoption, closing with an outlook of, and recommendations for, future research on the topic. This resource will appeal to practitioners and graduate students.
FOCAPD-19/Proceedings of the 9th International Conference on Foundations of Computer-Aided Process Design, July 14 - 18, 2019, compiles the presentations given at the Ninth International Conference on Foundations of Computer-Aided Process Design, FOCAPD-2019. It highlights the meetings held at this event that brings together researchers, educators and practitioners to identify new challenges and opportunities for process and product design.
Analytics for the public sector involves the application of operations research and statistical techniques to solve various problems existing outside of the private sector. The use of analytics for the public sector results in more efficient and effective services for the clients and users of these systems. Analytics, Operations, and Strategic Decision Making in the Public Sector is an essential reference source that discusses analytics applications in various public sector organizations, and addresses the difficulties associated with the design and operation of these systems including multiple conflicting objectives, uncertainties and resulting risk, ill-structured nature, combinatorial design aspects, and scale. Featuring research on topics such as analytical modeling techniques, data mining, and statistical analysis, this book is ideally designed for academicians, educators, researchers, students, and public sector professionals including those in local, state, and federal governments; criminal justice systems; healthcare; energy and natural resources; waste management; emergency response; and the military.
The book addresses optimization in the petroleum industry from a practical, large-scale-application-oriented point of view. The models and techniques presented help to optimize the limited resources in the industry in order to maximize economic benefits, ensure operational safety, and reduce environmental impact. The book discusses several important real-life applications of optimization in the petroleum industry, ranging from the scheduling of personnel time to the blending of gasoline. It covers a wide spectrum of relevant activities, including drilling, producing, maintenance, and distribution. The text begins with an introductory overview of the petroleum industry and then of optimization models and techniques. The main body of the book details a variety of applications of optimization models and techniques within the petroleum industry. Applied Optimization in the Petroleum Industry helps readers to find effective optimization-based solutions to their own practical problems in a large and important industrial sector, still the main source of the world’s energy and the source of raw materials for a wide variety of industrial and consumer products.
The overall design and strategies that create work systems within organizations must be evaluated and analyzed in order to ensure that all structures of a company are properly harmonized. Harmonizing all aspects of a company serves to optimize workflow and support all interactions between employees, machines, and software utilized by the company. Advanced Macroergonomics and Sociotechnical Approaches for Optimal Organizational Performance provides emerging research exploring the theoretical and practical aspects of system harmonization and applications within macroergonomics. Featuring coverage on a broad range of topics such as stress-related conditions, organizational culture, and worker health, this book is ideally designed for ergonomists, human resource professionals, manufacturing engineers, industrial engineers, industrial designers, researchers, industry practitioners, research scientists, and academics seeking current research on the optimization of workflow and work systems.
Organizations today need to continually implement new strategies that increase the sustainability and competitiveness of a business. By sharing experiences in a collaborative environment where the collective experience of its membership can lead to the design and implementation of new technology and product improvement, a company can differentiate itself to successfully compete in the business realm. Strategic Collaborative Innovations in Organizational Systems is a collection of research on the methods and applications of collaborative strategies in advancing the efficiency and effectiveness of a firm. Highlighting a range of topics including organizational design, productivity strategies, and workforce diversity, this book is ideally designed for academicians, business managers, entrepreneurs, human resources managers, researchers, graduate students, and scholars seeking current research on business and competitive strategies within a collaborative and organizational context.
Companies operating in countries with volatile economies face an environment subject to turbulence. It is important to understand how these companies can overcome adversity, establish competitive advantage, and achieve superior performance. The selection of competitive drivers can help to improve the ability to capture, process, and manage information that can generate knowledge and innovation in products and processes, as well as increase strategic capacity and organizational performance. Strategy and Superior Performance of Micro and Small Businesses in Volatile Economies focuses on the ways that organizations capture information and disseminate it in their work teams, transforming this knowledge into innovative products and services that establish competitive advantage. It will improve the understanding of the role of strategy, innovation, entrepreneurship, and the effort to reduce poverty levels in societies with volatile economies and which are subject to serious social disparities. Highlighting topics such as economic development, market performance, and network economy, this publication is designed for managers, entrepreneurs, business professionals, academicians, researchers, and students.
Informed Urban Transport Systems examines how information gathered from new technologies can be used for optimal planning and operation in urban settings. Transportation researchers, and those from related disciplines, such as artificial intelligence, energy, applied mathematics, electrical engineering and environmental science will benefit from the book's deep dive into the transportation domain, allowing for smarter technological solutions for modern transportation problems. The book helps create solutions with fewer financial, social, political and environmental costs for the populations they serve. Readers will learn from, and be able to interpret, the information and data collected from modern mobile and sensor technologies and understand how to use system optimization strategies using this information. The book concludes with an evaluation of the social and system impacts of modern transportation systems.
In a world dependent on digital technologies, business corporations continually try to stay ahead of their competitors by adopting the most updated technology into their business processes. Many companies are adopting digital transformation models, data analytics, big data, data empowerment, and data sharing as key strategies and as service disruptors for information delivery and record management. Higher education institutions have adopted digital service innovation as a core to driving their business processes. Such services are key to ensuring efficiency and improving organizational performance. Digital Transformation and Innovative Services for Business and Learning is a collection of innovative research on the latest digital services and their role in supporting the digital transformation of businesses and education. While highlighting topics including brand equality, digital banking, and generational workforce, this book is ideally designed for managers, executives, IT consultants, industry professionals, academicians, researchers, and students.
Over the past decade, increasing competition has created immense opportunities for businesses globally. As such, it important to research new methods and systems for creating optimal business cultures. Cases on Quality Initiatives for Organizational Longevity is a scholarly publication that examines cases on practices in organizations and how they have facilitated transformation over the years. Featuring coverage on a broad range of topics such as customer loyalty, benchmarking, and employee training, this book is geared toward business owners, managers, entrepreneurs, professionals, researchers, and students seeking current and relevant research on contemporary cases in the field of business quality management.
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