The Oxford Handbook of Pricing Management
The Oxford Handbook of Pricing Management

Author: Özalp Özer

Publisher: OUP Oxford

Published: 2012-06-07

Total Pages: 976

ISBN-13: 0191634263

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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.

Generalized Convexity and Optimization
Generalized Convexity and Optimization

Author: Alberto Cambini

Publisher: Springer Science & Business Media

Published: 2008-10-14

Total Pages: 252

ISBN-13: 3540708766

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The authors have written a rigorous yet elementary and self-contained book to present, in a unified framework, generalized convex functions. The book also includes numerous exercises and two appendices which list the findings consulted.

Single Period Inventory Control and Pricing
Single Period Inventory Control and Pricing

Author: Emel Arikan

Publisher: Forschungsergebnisse der Wirtschaftsuniversität Wien

Published: 2011

Total Pages: 0

ISBN-13: 9783631612224

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The price-setting newsvendor model is used to address the single period joint pricing and inventory control problem. The objective is to set the optimal price and replenishment quantity of a single product in order to maximize the expected profit. Products with a short selling season and relatively long replenishment lead times such as fashion goods are the most relevant application areas of the model. The focus of the work is the generalization of the model with respect to the modeling of uncertainty in demand. The author presents an analytical and empirical study which compares different demand models with a more flexible model based on price and inventory optimization. She concludes that using a general model can increase the profits significantly.

Perishable Inventory Systems
Perishable Inventory Systems

Author: Steven Nahmias

Publisher: Springer Science & Business Media

Published: 2011-05-17

Total Pages: 89

ISBN-13: 1441979999

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A perishable item is one that has constant utility up until an expiration date (which may be known or uncertain), at which point the utility drops to zero. This includes many types of packaged foods such as milk, cheese, processed meats, and canned goods. It also includes virtually all pharmaceuticals and photographic film, as well as whole blood supplies. This book is the first devoted solely to perishable inventory systems. The book’s ten chapters first cover the preliminaries of periodic review versus continuous review and look at a one-period newsvendor perishable inventory model. The author moves to the basic multiperiod dynamic model, and then considers the extensions of random lifetime, inclusion of a set-up cost, and multiproduct models of perishables. A chapter on continuous review models looks at one-for-one policies, models with zero lead time, optimal policies with positive lead time, and an alternative approach. Additional chapters present material on approximate order policies, inventory depletion management, and deterministic models, including the basic EOQ model with perishability and the dynamic deterministic model with perishability. Finally, chapters explore decaying inventories, queues with impatient customers, and blood bank inventory control. Anyone researching perishable inventory systems will find much to work with here. Practitioners and consultants will also now have a single well-referenced source of up-to-date information to work with.

Optimization and Inventory Management
Optimization and Inventory Management

Author: Nita H. Shah

Publisher: Springer Nature

Published: 2019-08-31

Total Pages: 466

ISBN-13: 9811396981

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This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models’ robustness. It presents a collection of mathematical models that deal with real industry scenarios. All mathematical model solutions are provided with the help of various optimization techniques to determine optimal ordering policy. The book offers a range of perspectives on the implementation of optimization techniques, inflation, trade credit financing, fuzzy systems, human error, learning in production, inspection, green supply chains, closed supply chains, reworks, game theory approaches, genetic algorithms, and data mining, as well as research on big data applications for inventory management and control. Starting from deterministic inventory models, the book moves towards advanced inventory models. The content is divided into eight major sections: inventory control and management – inventory models with trade credit financing for imperfect quality items; environmental impact on ordering policies; impact of learning on the supply chain models; EOQ models considering warehousing; optimal ordering policies with data mining and PSO techniques; supply chain models in fuzzy environments; optimal production models for multi-items and multi-retailers; and a marketing model to understand buying behaviour. Given its scope, the book offers a valuable resource for practitioners, instructors, students and researchers alike. It also offers essential insights to help retailers/managers improve business functions and make more accurate and realistic decisions.

Optimal Decision Making in Operations Research and Statistics
Optimal Decision Making in Operations Research and Statistics

Author: Irfan Ali

Publisher: CRC Press

Published: 2021-11-29

Total Pages: 434

ISBN-13: 1000404722

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The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decision­making problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimisation and statistical techniques for making optimal decisions. The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially operations research and applied statistics.

Operations Research Proceedings 2017
Operations Research Proceedings 2017

Author: Natalia Kliewer

Publisher: Springer

Published: 2018-05-25

Total Pages: 698

ISBN-13: 3319899201

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This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2017), which was held at Freie Universität Berlin, Germany on September 6-8, 2017. More than 800 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 500 papers in parallel topic streams, as well as special award sessions. The main theme of the conference and its proceedings was "Decision Analytics for the Digital Economy."

The Theory and Practice of Revenue Management
The Theory and Practice of Revenue Management

Author: Kalyan T. Talluri

Publisher: Springer Science & Business Media

Published: 2006-02-21

Total Pages: 731

ISBN-13: 0387273913

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Revenue management (RM) has emerged as one of the most important new business practices in recent times. This book is the first comprehensive reference book to be published in the field of RM. It unifies the field, drawing from industry sources as well as relevant research from disparate disciplines, as well as documenting industry practices and implementation details. Successful hardcover version published in April 2004.

Handbook of Quantitative Supply Chain Analysis
Handbook of Quantitative Supply Chain Analysis

Author: David Simchi-Levi

Publisher: Taylor & Francis

Published: 2004-05-31

Total Pages: 840

ISBN-13: 9781402079528

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The Handbook is a comprehensive research reference that is essential for anyone interested in conducting research in supply chain. Unique features include: -A focus on the intersection of quantitative supply chain analysis and E-Business, -Unlike other edited volumes in the supply chain area, this is a handbook rather than a collection of research papers. Each chapter was written by one or more leading researchers in the area. These authors were invited on the basis of their scholarly expertise and unique insights in a particular sub-area, -As much attention is given to looking back as to looking forward. Most chapters discuss at length future research needs and research directions from both theoretical and practical perspectives, -Most chapters describe in detail the quantitative models used for analysis and the theoretical underpinnings; many examples and case studies are provided to demonstrate how the models and the theoretical insights are relevant to real situations, -Coverage of most state-of-the-art business practices in supply chain management.

Influencing Customer Demand
Influencing Customer Demand

Author: Mahya Hemmati

Publisher: CRC Press

Published: 2021-07-16

Total Pages: 248

ISBN-13: 1000406970

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In today’s competitive markets, considering the demand and the supply chain sides is crucial to keeping revenue and customer satisfaction maximized. Managing and planning demand play a vital role in the sustainability of a company. This is the first book to the discuss managerial, mathematical, and conceptual framework of influencing factors on demand along with accurate mathematical analyses to evaluate and raise revenue. The book provides an understanding of the key elements that impact buyer demand. It presents the mathematical relationship between the influencing factors and the demand functions. It discusses the methods used for inspiring demand, how to measure demand dependency on components such as price, quality, and inventory, and it helps management improve alignment between supply and demand by affecting the level and understanding of the role within supply chain management (SCM). This book is applicable for the professional as well as for academia. It can help those working in SCM, project management, production, inventory control, scheduling, engineering management, retail management, and operations management.