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Operations management and data analytics modelling, 


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Цена: 17609.00р.
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При оформлении заказа до: 2025-08-31
Ориентировочная дата поставки: начало Октября
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Название:  Operations management and data analytics modelling
ISBN: 9780367754518
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367754517
Обложка/Формат: Hardcover
Страницы: 184
Вес: 0.45 кг.
Дата издания: 31.12.2021
Язык: English
Иллюстрации: 57 tables, black and white; 27 line drawings, black and white; 11 halftones, black and white; 38 illustrations, black and white
Размер: 23.39 x 15.60 x 1.27 cm
Подзаголовок: Economic crises perspective
Рейтинг:
Поставляется из: Европейский союз
Описание: Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0.It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma.FeaturesDiscusses the importance of data analytics in industrial operations to improve economyProvides step-by-step implementation of operation management models to identify best practicesCovers in-depth analysis using data-based operation management tools and techniquesDiscusses mathematical modelling for novel operation management models to solve industrial problemsThis book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.
Дополнительное описание: 1. Measuring Banking Sector Efficiency: A Malmquist Approach. 2. A Hybrid MCDM Model Combining Entropy Weight Method with Range of Value (ROV) Method and Evaluation Based on Distance from Average Solution (EDAS) Method for Supplier Selection in Supply Cha



Matching supply with demand: an introduction to operations management, 4 ed.

Автор: Cachon, Gerard Terwiesch, Christian
Название: Matching supply with demand: an introduction to operations management, 4 ed.
ISBN: 1260084612 ISBN-13(EAN): 9781260084610
Издательство: McGraw-Hill
Рейтинг:
Цена: 9779.00 р.
Наличие на складе: Поставка под заказ.

Modelling Operations Research and Business Analytics

Автор: Fox, William P ; Burks, Robert E
Название: Modelling Operations Research and Business Analytics
ISBN: 1032717556 ISBN-13(EAN): 9781032717555
Издательство: Taylor&Francis
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Цена: 19906.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Modelling Operations Research and Business Analytics

Автор: Fox, William P ; Burks, Robert E
Название: Modelling Operations Research and Business Analytics
ISBN: 1032735929 ISBN-13(EAN): 9781032735924
Издательство: Taylor&Francis
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Цена: 7348.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications

Автор: Samanta Debabrata, Islam Sk Hafizul, Chilamkurti Naveen
Название: Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications
ISBN: 0367715112 ISBN-13(EAN): 9780367715113
Издательство: Taylor&Francis
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Цена: 22202.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.

Big Data Analytics Using Multiple Criteria Decision-Making Models

Название: Big Data Analytics Using Multiple Criteria Decision-Making Models
ISBN: 1498753558 ISBN-13(EAN): 9781498753555
Издательство: Taylor&Francis
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Цена: 19906.00 р.
Наличие на складе: Нет в наличии.

Big Data Analytics Using Multiple Criteria Decision-Making Models

Название: Big Data Analytics Using Multiple Criteria Decision-Making Models
ISBN: 1138747653 ISBN-13(EAN): 9781138747654
Издательство: Taylor&Francis
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Цена: 10104.00 р.
Наличие на складе: Нет в наличии.

Mathematical modelling and simulation :

Автор: Edited By P.N. Belkhode, J.P. Modak, V. Vidyasagar
Название: Mathematical modelling and simulation :
ISBN: 0367676354 ISBN-13(EAN): 9780367676353
Издательство: Taylor&Francis
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Цена: 25265.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explains the concept of man-machine systems by using the mining industry. The goal is to use a mathematical model based approach to improve the quality of human life of the workers and operators with the enhancement of productivity by controlling the process variables.

Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

Автор: Sujatha R., Aarthy S. L., Vettriselvan R.
Название: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
ISBN: 0367466635 ISBN-13(EAN): 9780367466633
Издательство: Taylor&Francis
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Цена: 17609.00 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.

Operations management

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.

Traffic Flow Modelling

Автор: Kessels
Название: Traffic Flow Modelling
ISBN: 3319786946 ISBN-13(EAN): 9783319786940
Издательство: Springer
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Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book introduces readers to the main traffic flow modelling approaches and discusses their features and applications.

Management Approach for Resource-Productive Operations

Автор: Hammer
Название: Management Approach for Resource-Productive Operations
ISBN: 3658229381 ISBN-13(EAN): 9783658229382
Издательство: Springer
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Цена: 11878.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Markus Hammer investigates a time-based and analytics-supported operations management approach. He explores five perspectives: 1) the needs of industry, in particular manufacturing in process industries, 2) the impact of digitization, with focus on Big Data and analytics, 3) the management of operations through time-based performance metrics, 4) how operations improvement methods and advanced process control help achieve resource-productive operations and 5) learning from practice based on two empirical case studies. The author conceives, explains, and tests an implementation methodology. The final case study proves that the developed implementation methodology works in practice.

Revenue Management and Pricing Analytics

Автор: Guillermo Gallego; Huseyin Topaloglu
Название: Revenue Management and Pricing Analytics
ISBN: 1493996045 ISBN-13(EAN): 9781493996049
Издательство: Springer
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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.

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