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Author: Steffen Christ
Publisher: Springer Science & Business Media
ISBN: 3834961841
Category : Business & Economics
Languages : en
Pages : 363
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Book Description
Steffen Christ shows how theoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent demand and customer price sensitivity.
Author: Steffen Christ
Publisher: Springer Science & Business Media
ISBN: 3834961841
Category : Business & Economics
Languages : en
Pages : 363
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Book Description
Steffen Christ shows how theoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent demand and customer price sensitivity.
Author: Bernabé Dorronsoro
Publisher: Springer Nature
ISBN: 3030856720
Category : Computers
Languages : en
Pages : 377
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Book Description
This volume constitutes the refereed proceedings of the 4th International Conference on Optimization and Learning, OLA 2021, held in Catania, Italy, in June 2021. Due to the COVID-19 pandemic the conference was held online. The 27 full papers were carefully reviewed and selected from 62 submissions. The papers presented in the volume are organized in topical sections on synergies between optimization and learning; learning for optimization; machine learning and deep learning; transportation and logistics; optimization; applications of learning and optimization methods.
Author: Xi Chen
Publisher: Springer Nature
ISBN: 3031019261
Category : Business & Economics
Languages : en
Pages : 444
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Book Description
This book examines recent developments in Operations Management, and focuses on four major application areas: dynamic pricing, assortment optimization, supply chain and inventory management, and healthcare operations. Data-driven optimization in which real-time input of data is being used to simultaneously learn the (true) underlying model of a system and optimize its performance, is becoming increasingly important in the last few years, especially with the rise of Big Data.
Author: Warren B. Powell
Publisher: John Wiley & Sons
ISBN: 0470596694
Category : Mathematics
Languages : en
Pages : 416
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Book Description
Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especially when collecting information is time-consuming and expensive. Designed for readers with an elementary background in probability and statistics, the book presents effective and practical policies illustrated in a wide range of applications, from energy, homeland security, and transportation to engineering, health, and business. This book covers the fundamental dimensions of a learning problem and presents a simple method for testing and comparing policies for learning. Special attention is given to the knowledge gradient policy and its use with a wide range of belief models, including lookup table and parametric and for online and offline problems. Three sections develop ideas with increasing levels of sophistication: Fundamentals explores fundamental topics, including adaptive learning, ranking and selection, the knowledge gradient, and bandit problems Extensions and Applications features coverage of linear belief models, subset selection models, scalar function optimization, optimal bidding, and stopping problems Advanced Topics explores complex methods including simulation optimization, active learning in mathematical programming, and optimal continuous measurements Each chapter identifies a specific learning problem, presents the related, practical algorithms for implementation, and concludes with numerous exercises. A related website features additional applications and downloadable software, including MATLAB and the Optimal Learning Calculator, a spreadsheet-based package that provides an introduction to learning and a variety of policies for learning.
Author: Terry L. Friesz
Publisher: Springer Science & Business Media
ISBN: 0387711341
Category : Mathematics
Languages : en
Pages : 365
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Book Description
This book is written by leading scholars in Network Science, Nonlinear Science and Infrastructure Systems, expressly to develop common theoretical underpinnings for better solutions to modern infrastructural problems. The book is dedicated to the formulation of infrastructural tools that will better solve problems from transportation networks to telecommunications, Internet, supply chains and more.
Author: Michael Schwind
Publisher: Springer Science & Business Media
ISBN: 3540680039
Category : Mathematics
Languages : en
Pages : 305
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Book Description
This book develops allocation mechanisms that aim to ensure an efficient resource allocation in modern IT-services. Recent methods of artificial intelligence, such as neural networks and reinforcement learning, and nature-oriented optimization methods, such as genetic algorithms and simulated annealing, are advanced and applied to allocation processes in distributed IT-infrastructures, or grid systems.
Author: Institute for Operations Research and the Management Sciences. National Meeting
Publisher:
ISBN:
Category : Industrial management
Languages : en
Pages : 644
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Book Description
Author: Özalp Özer
Publisher: OUP Oxford
ISBN: 0191634263
Category : Business & Economics
Languages : en
Pages : 976
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Book Description
The Oxford Handbook of Pricing Management is a comprehensive guide to the theory and practice of pricing across industries, environments, and methodologies. The Handbook illustrates the wide variety of pricing approaches that are used in different industries. It also covers the diverse range of methodologies that are needed to support pricing decisions across these different industries. It includes more than 30 chapters written by pricing leaders from industry, consulting, and academia. It explains how pricing is actually performed in a range of industries, from airlines and internet advertising to electric power and health care. The volume covers the fundamental principles of pricing, such as price theory in economics, models of consumer demand, game theory, and behavioural issues in pricing, as well as specific pricing tactics such as customized pricing, nonlinear pricing, dynamic pricing, sales promotions, markdown management, revenue management, and auction pricing. In addition, there are articles on the key issues involved in structuring and managing a pricing organization, setting a global pricing strategy, and pricing in business-to-business settings.
Author: Siriphong Lawphongpanich
Publisher: Springer Science & Business Media
ISBN: 038729645X
Category : Mathematics
Languages : en
Pages : 246
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Book Description
Rigorous treatments of issues related to congestion pricing are described in this book. It examines recent advances in areas such as mathematical and computational models for predicting traffic congestion, determining when, where, and how much to levy tolls, and analyzing the impact on transportation systems. The book follows recent schemes judged to be successful in London, Singapore, Norway, as well as a number of projects in the United States.
Author: Jiazhen Huo
Publisher: Springer Nature
ISBN: 9811598770
Category : Business & Economics
Languages : en
Pages : 265
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Book Description
This book is developed by focusing on the four issues: (1) product strategy of private brand; (2) pricing strategy of private brand; (3) channel strategy with private brand introduction; and (4) supply chain coordination with private brand introduction. Private brand (PB), also known as private label (PL) or store brand (SB), refers to a brand created and controlled by a retailer. In the 1960s and 1970s, private labels began to emerge in France and England. Although private label has grown rapidly worldwide, market share varies greatly from region to region. According to Nielsen's 2018 Global Private Label Report, the largest markets for private-label products are found primarily in the more mature European retail markets. In recent years, many large domestic retail enterprises have launched their own brand products. With the growth of e-commerce, some online retailers have also launched private-label goods. JD started to introduce its private brands in 2010, with annual sales of its private brand products reaching several hundred million yuan. However, at present, the market share of China's private label is only 1-3%, which still has a big gap compared with Europe and America.The main challenges to China's private label lie in private brand operations management. Among them, how to select the correct product categories, how to make pricing decision, how to restructure channels and how to coordinate supply chain after introducing private brands are four operations management problems need to be solved.
