Автор: Fox, William P ; Burks, Robert E Название: Modelling Operations Research and Business Analytics ISBN: 1032717556 ISBN-13(EAN): 9781032717555 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Fox, William P ; Burks, Robert E Название: Modelling Operations Research and Business Analytics ISBN: 1032735929 ISBN-13(EAN): 9781032735924 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.
Автор: Cachon, Gerard Terwiesch, Christian Название: Operations management ISBN: 1260547612 ISBN-13(EAN): 9781260547610 Издательство: McGraw-Hill Рейтинг: Цена: 9779.00 р. Наличие на складе: Поставка под заказ.
Описание: Cachon Operations Management 2e is designed for undergraduate students taking an introductory course in Operations Management. This text will share many of the strengths of Matching Supply with Demand: An Introduction to Operations Management. Operations Management by Cachon comprehensively spans the relevant domain of topics, is accessible to a typical undergraduate student (i.e., limited real world business experience), incorporates the latest research and knowledge, and provides thorough pedagogical support for instructors along with innovative learning support for students.
Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.
Автор: Guillermo Gallego; Huseyin Topaloglu Название: Revenue Management and Pricing Analytics ISBN: 1493996045 ISBN-13(EAN): 9781493996049 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: “There is no strategic investment that has a higher return than investing in good pricing, and the text by Gallego and Topaloghu provides the best technical treatment of pricing strategy and tactics available.” Preston McAfee, the J. Stanley Johnson Professor, California Institute of Technology and Chief Economist and Corp VP, Microsoft.“The book by Gallego and Topaloglu provides a fresh, up-to-date and in depth treatment of revenue management and pricing. It fills an important gap as it covers not only traditional revenue management topics also new and important topics such as revenue management under customer choice as well as pricing under competition and online learning. The book can be used for different audiences that range from advanced undergraduate students to masters and PhD students. It provides an in-depth treatment covering recent state of the art topics in an interesting and innovative way. I highly recommend it.' Professor Georgia Perakis, the William F. Pounds Professor of Operations Research and Operations Management at the Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts. “This book is an important and timely addition to the pricing analytics literature by two authors who have made major contributions to the field. It covers traditional revenue management as well as assortment optimization and dynamic pricing. The comprehensive treatment of choice models in each application is particularly welcome. It is mathematically rigorous but accessible to students at the advanced undergraduate or graduate levels with a rich set of exercises at the end of each chapter. This book is highly recommended for Masters or PhD level courses on the topic and is a necessity for researchers with an interest in the field.” Robert L. Phillips, Director of Pricing Research at Amazon
“At last, a serious and comprehensive treatment of modern revenue management and assortment optimization integrated with choice modeling. In this book, Gallego and Topaloglu provide the underlying model derivations together with a wide range of applications and examples; all of these facets will better equip students for handling real-world problems. For mathematically inclined researchers and practitioners, it will doubtless prove to be thought-provoking and an invaluable reference.” Richard Ratliff, Research Scientist at Sabre “This book, written by two of the leading researchers in the area, brings together in one place most of the recent research on revenue management and pricing analytics. New industries (ride sharing, cloud computing, restaurants) and new developments in the airline and hotel industries make this book very timely and relevant, and will serve as a critical reference for researchers.” Professor Kalyan Talluri, the Munjal Chair in Global Business and Operations, Imperial College, London, UK.
Автор: Gaudreau, Название: Total Quality Management for Custodial Operations ISBN: 1138464333 ISBN-13(EAN): 9781138464339 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Поставка под заказ.
Описание: This is the first major reconstruction of this new world of plants in sixteenth-century Tuscany. Focusing primarily on the medical use of plants, this book also shows how plants, while maintaining their importance in therapy, began to be considered and studied for themselves, and how this new understanding prepared the groundwork for the science of
Автор: Evans, Gerald W. (university Of Louisville, Kentucky, Usa) Название: Multiple objective analytics for criminal justice systems ISBN: 0367517345 ISBN-13(EAN): 9780367517342 Издательство: Taylor&Francis Рейтинг: Цена: 7961.00 р. Наличие на складе: Поставка под заказ.
Описание: Criminal justice systems are complex and difficult to design and operate. This is due to their many interacting parts, and dynamic and probabilistic nature, as well as their interfaces with other systems. This book reviews the use of analytics to address issues in criminal justice systems and the various data sources.
Описание: Part A: Planting and Growing.- Chapter 1: Dynamic Crop Allocation in the Presence of Two-Season Crop Rotation Benefits.- Chapter 2: Agricultural Production Planning under Yield-Dependent Cost and Price.- Chapter 3: Mechanisms for Effective Sharing of Agricultural Water Between Head-Reach and Tail-End Farms.- Chapter 4: Portfolio Management Issues in the Commercial Seed Industry: A Modeling Framework and Industry Implementation.- Part B: Processing and Selling.- Chapter 5: Procurement Management in Agricultural Commodity Processing.- Chapter 6: The Influence of Yield-Dependent Trading Costs on Pricing and Production Planning under Supply Uncertainty.- Chapter 7: Capacity Management in Agricultural Commodity Processing.- Chapter 8: A Prescriptive Model for Selling Wine Futures to Mitigate Quality Uncertainty.- Chapter 9: Wine Analytics: Futures or Bottles.- Part C: Government Interventions.- Chapter 10: Implications of Farmer Information Provision Policies: Heterogeneous Farmers and Market Selection.- Chapter 11: Agricultural Market Information: Economic Value and Provision Policy.- Chapter 12: Knowledge Sharing among Smallholders in Developing Economies.- Chapter 13: Policy Interventions for an Agriculture-Based Malaria Medicine Supply Chain.- Chapter 14: The Impact of Crop Minimum Support Price on Crop Production and Farmer Welfare.- Chapter 15: Input- vs. Output-Based Farm Subsidies in Developing Economies: Farmer Welfare and Income Inequality.
Описание: 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.
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