Powerful tools for using operations metrics to analyze companies in ways that go beyond traditional financial models and statements.
Investors and analysts often need to look into a firm's operations more deeply than traditional financial statements and models allow. This book describes newly developed tools for using operations metrics to discern and influence the valuation of a firm. It is the first to present these techniques from a unified perspective: that of operations forensics, which looks at operations management not from the traditional point of view of a manager but from that of an investor or shareholder.
After a discussion of financial statements and the useful but incomplete insights they provide, the book covers the three components of operations forensics: operational indicators, operations details that can predict future performance; operational due diligence, methods for verifying companies' claims about operational excellence and valuing their operational assets; and operational turnaround, an innovative approach to buyout and turnaround strategies. The text also offers brief reviews of operations management concepts, real-world examples of operations forensics, and a glossary. The mathematical material gradually increases in sophistication as the book progresses (but can be skipped without loss of continuity). Each chapter concludes with a "Takeaways and Toolkit" section, a brief summary of prior research, and suggestions for further reading.
Operations forensics offers powerful tools and frameworks for financial analysts, private equity firms, managers, and consultants. This book provides a valuable resource for MBA students and practitioners. Downloadable supplementary material for instructors incudes figures form the text and 42 slides that can be used for class presentations.
Описание: Building on co-author Sharon Williams` previous title Improving Healthcare Operations, this book examines the role of co-design and coproduction in health and social care.
Автор: David G. Luenberger; Yinyu Ye Название: Linear and Nonlinear Programming ISBN: 1441945040 ISBN-13(EAN): 9781441945044 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This third edition of the classic textbook in Optimization has been fully revised and updated. The book connects the purely analytical character of an optimization problem, and the behavior of algorithms used to solve it. Now, the third edition has been completely updated with recent Optimization Methods.
Автор: Sharon J Williams Название: Improving Healthcare Operations ISBN: 3319469126 ISBN-13(EAN): 9783319469126 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the design of two care pathways to establish how key principles associated with systems thinking, quality improvement, and supply chain management can improve the design of these services.
Автор: Hall Название: Patient Flow: Reducing Delay in Healthcare Delivery ISBN: 1441941436 ISBN-13(EAN): 9781441941435 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is dedicated to improving healthcare through reducing the delays experienced by patients. It is the first book treatment to have reduction in patient delay as its sole focus, and therefore, provides the foundation by which hospitals can implement change.
Автор: Brian T. Denton Название: Handbook of Healthcare Operations Management ISBN: 1489995501 ISBN-13(EAN): 9781489995506 Издательство: Springer Рейтинг: Цена: 30745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From the Preface: Collectively, the chapters in this book address application domains including inpatient and outpatient services, public health networks, supply chain management, and resource constrained settings in developing countries. Many of the chapters provide specific examples or case studies illustrating the applications of operations research methods across the globe, including Africa, Australia, Belgium, Canada, the United Kingdom, and the United States. Chapters 1-4 review operations research methods that are most commonly applied to health care operations management including: queuing, simulation, and mathematical programming. Chapters 5-7 address challenges related to inpatient services in hospitals such as surgery, intensive care units, and hospital wards. Chapters 8-10 cover outpatient services, the fastest growing part of many health systems, and describe operations research models for primary and specialty care services, and how to plan for patient no-shows. Chapters 12 – 16 cover topics related to the broader integration of health services in the context of public health, including optimizing the location of emergency vehicles, planning for mass vaccination events, and the coordination among different parts of a health system. Chapters 17-18 address supply chain management within hospitals, with a focus on pharmaceutical supply management, and the challenges of managing inventory for nursing units. Finally, Chapters 19-20 provide examples of important and emerging research in the realm of humanitarian logistics.
Описание: A Guide to Healthcare Facility Dress Rehearsal Simulation Planning: Simplifying the Complex provides a step-by-step scalable framework to coordinate an Interdisciplinary Dress Rehearsal event for a project or facility of any size.
Автор: Tinglong Dai; Sridhar Tayur Название: Handbook of Healthcare Analytics ISBN: 1119300940 ISBN-13(EAN): 9781119300946 Издательство: Wiley Рейтинг: Цена: 17733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century?
Editors Tinglong Dai (Johns Hopkins) and Sridhar Tayur (Carnegie Mellon), aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers macro-, meso- and micro-level thrusts, spanning organizational structure, market design, access to (and quality of) care, competing interests, personalized medicine, global health, organ transplantation, healthcare supply chains, ambulatory care, inpatient care, residential care and concierge medicine. No other book in the field matches its scope. It is also the first book to synthesize what has been a highly fragmented research area--an uncoordinated accumulation of papers--and to structure it into a coherent scientific discipline. As Poincare remarked, an accumulation of facts is no more a science than a heap of stones is a house.
The handbook also provides an easy-to-comprehend introduction to five essential research tools--Markov decision process, game theory and information economics, queueing theory (with and without game theory), econometric methods, and data sciences (including machine learning)--by illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts.
The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook:
Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspective--a shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainable--can lead to new knowledge and innovative solutions that healthcare has been seeking so desperately.
Facilitates collaboration between healthcare experts and analytics scholars--to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose--ranging from queuing models imbedded with game theory ("queuing games") to game theory methods enhanced by operational considerations ("market design"), from tailored econometric methods to current day data-science methods that include algorithms from machine learning.
While the handbook is designed to be accessible to the independent reader, it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course covering the entire field.
Автор: El Morr Название: Machine Learning for Practical Decision Making ISBN: 3031169891 ISBN-13(EAN): 9783031169892 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines. The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.
Описание: With advancing technology and the digitization of the modern era, businesses are required to adopt the latest innovations computer science and information technology have to offer. The field of home healthcare must utilize the finest available operations management systems in order to remain relevant in a globalized world while also providing the best treatment possible to its patients.
Transportation, Logistics, and Supply Chain Management in Home Healthcare: Emerging Research and Opportunities is an essential reference source that provides theoretical and empirical research on logistics management and transportation and scheduling routing and their applications in home healthcare and logistics. While highlighting topics such as hybrid energy, scheduling optimization, and forecasting techniques, this book is ideally designed for outpatient doctors and nurses, transportation professionals, logisticians, home healthcare managers, computer scientists, logistic engineers, health practitioners, academicians, researchers, and students.
Автор: Masmoudi Malek, Jarboui Bassem, Siarry Patrick Название: Operations Research and Simulation in Healthcare ISBN: 3030452220 ISBN-13(EAN): 9783030452223 Издательство: Springer Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Specific topics covered in the contributed chapters include discrete-event simulation, patient admission scheduling, simulation-based emergency department control systems, patient transportation, cost function networks, hospital bed management, and operating theater scheduling.
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