Markovian Demand Inventory Models

Markovian Demand Inventory Models PDF Author: Dirk Beyer
Publisher: Springer Science & Business Media
ISBN: 0387716041
Category : Business & Economics
Languages : en
Pages : 260

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Book Description
This text provides a superbly researched insight into Markovian demand inventory models. The result of ten years of research, this work covers all aspects of demand inventory where they are modeled by Markov processes. Inventory management is concerned with matching supply with demand and is a central problem in Operations Management. The central problem is to find the amount to be produced or purchased in order to maximize the total expected profit, or minimize the total expected cost.

Markovian Demand Inventory Models

Markovian Demand Inventory Models PDF Author: Dirk Beyer
Publisher: Springer Science & Business Media
ISBN: 0387716041
Category : Business & Economics
Languages : en
Pages : 260

Get Book Here

Book Description
This text provides a superbly researched insight into Markovian demand inventory models. The result of ten years of research, this work covers all aspects of demand inventory where they are modeled by Markov processes. Inventory management is concerned with matching supply with demand and is a central problem in Operations Management. The central problem is to find the amount to be produced or purchased in order to maximize the total expected profit, or minimize the total expected cost.

Markovian Demand Inventory Models

Markovian Demand Inventory Models PDF Author: Dirk Beyer
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Business environments change over time. They are cyclic, show seasonality or just evolve over time. This is certainly true for customer demand. As a result, stationary demand distributions are crude approximations of true customer behavior at best. Yet, most classical stochastic inventory models make this very assumption. This volume is the first to provide a comprehensive treatment of inventory models with Markov-modulated demand. The distribution of demand in these models depends on the state of the environment which evolves according to a Markov process. These models have a broad range of applications. Examples are products with cyclical and seasonal demands, products with distinct life-cycles or products whose demand distribution depends on other environmental or economic factors. The same framework is used to express influences of endogenous factors like promotions on demand. The book takes the reader through a logical progression from finite horizon to infinite horizon models with discounted cost and then to long-run average cost models deploying a method called vanishing discount approach. It develops insights into the existence and structure of optimal ordering policies providing valuable guidance on how to efficiently manage inventories in dynamic business environments.

Hydropower Economics

Hydropower Economics PDF Author: Finn R. Forsund
Publisher: Springer Science & Business Media
ISBN: 0387730273
Category : Business & Economics
Languages : en
Pages : 268

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Book Description
There are few more urgent topics in today’s world, so full of ecological uncertainty. Hydropower Economics uses various econometric measures to examine sustainable alternative energy sources. It kicks off by modeling hydropower, yes, but it does not end there. Forsund has extended his model to include thermal power and wind power, too – forms of alternative energy that are taking on an ever larger profile.

Supply Chain Games: Operations Management and Risk Valuation

Supply Chain Games: Operations Management and Risk Valuation PDF Author: Konstantin Kogan
Publisher: Springer Science & Business Media
ISBN: 0387727760
Category : Business & Economics
Languages : en
Pages : 515

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Book Description
In today’s global economy, operations strategy in supply chains must assume an ever-expanding and strategic role of risks. These operational and strategic facets entail a brand new set of operational problems and risks that have not always been understood or managed very well. This book provides the means to understand, to model and to analyze these outstanding issues and problems that are the essential elements in managing supply chains today.

System Signatures and their Applications in Engineering Reliability

System Signatures and their Applications in Engineering Reliability PDF Author: Francisco J. Samaniego
Publisher: Springer Science & Business Media
ISBN: 0387717978
Category : Technology & Engineering
Languages : en
Pages : 160

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Book Description
Since the introduction of system signatures in Francisco Samaniego’s 1985 paper, the properties of this technical concept have been examined, tested and proven in a wide variety of systems applications. Based on the practical and research success in building reliability into systems with system signatures, this is the first book treatment of the approach. Its purpose is to provide guidance on how reliability problems might be structured, modeled and solved.

Design and Analysis of Simulation Experiments

Design and Analysis of Simulation Experiments PDF Author: Jack P.C. Kleijnen
Publisher: Springer Science & Business Media
ISBN: 0387718133
Category : Mathematics
Languages : en
Pages : 229

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Book Description
Simulation is a widely used methodology in all Applied Science disciplines. This textbook focuses on this crucial phase in the overall process of applying simulation, and includes the best of both classic and modern methods of simulation experimentation. This book will be the standard reference book on the topic for both researchers and sophisticated practitioners, and it will be used as a textbook in courses or seminars focusing on this topic.

Quantitative Models for Supply Chain Management

Quantitative Models for Supply Chain Management PDF Author: Sridhar Tayur
Publisher: Springer Science & Business Media
ISBN: 1461549493
Category : Business & Economics
Languages : en
Pages : 851

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Book Description
Quantitative models and computer-based tools are essential for making decisions in today's business environment. These tools are of particular importance in the rapidly growing area of supply chain management. This volume is a unified effort to provide a systematic summary of the large variety of new issues being considered, the new set of models being developed, the new techniques for analysis, and the computational methods that have become available recently. The volume's objective is to provide a self-contained, sophisticated research summary - a snapshot at this point of time - in the area of Quantitative Models for Supply Chain Management. While there are some multi-disciplinary aspects of supply chain management not covered here, the Editors and their contributors have captured many important developments in this rapidly expanding field. The 26 chapters can be divided into six categories. Basic Concepts and Technical Material (Chapters 1-6). The chapters in this category focus on introducing basic concepts, providing mathematical background and validating algorithmic tools to solve operational problems in supply chains. Supply Contracts (Chapters 7-10). In this category, the primary focus is on design and evaluation of supply contracts between independent agents in the supply chain. Value of Information (Chapters 11-13). The chapters in this category explicitly model the effect of information on decision-making and on supply chain performance. Managing Product Variety (Chapters 16-19). The chapters in this category analyze the effects of product variety and the different strategies to manage it. International Operations (Chapters 20-22). The three chapters in this category provide an overview of research in the emerging area of International Operations. Conceptual Issues and New Challenges (Chapters 23-27). These chapters outline a variety of frameworks that can be explored and used in future research efforts. This volume can serve as a graduate text, as a reference for researchers and as a guide for further development of this field.

Analysis, Control and Optimization of Complex Dynamic Systems

Analysis, Control and Optimization of Complex Dynamic Systems PDF Author: El-Kébir Boukas
Publisher: Springer Science & Business Media
ISBN: 9780387254753
Category : Business & Economics
Languages : en
Pages : 280

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Book Description
Analysis, Control and Optimization of Complex Dynamic Systems gathers in a single volume a spectrum of complex dynamic systems related papers written by experts in their fields, and strongly representative of current research trends. Complex systems present important challenges, in great part due to their sheer size which makes it difficult to grasp their dynamic behavior, optimize their operations, or study their reliability. Yet, we live in a world where, due to increasing inter-dependencies and networking of systems, complexity has become the norm. With this in mind, the volume comprises two parts. The first part is dedicated to a spectrum of complex problems of decision and control encountered in the area of production and inventory systems. The second part is dedicated to large scale or multi-agent system problems occurring in other areas of engineering such as telecommunication and electric power networks, as well as more generic context.

Level Crossing Methods in Stochastic Models

Level Crossing Methods in Stochastic Models PDF Author: Percy H. Brill
Publisher: Springer Science & Business Media
ISBN: 0387094210
Category : Mathematics
Languages : en
Pages : 502

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Book Description
From 1972 to 1974, I was working on a PhD thesis entitled Multiple Server Queues with Service Time Depending on Waiting Time.The method of analysis was the embedded Markov chain technique, described in the papers [82] and [77]. My analysis involved lengthy, tedious deri- tions of systems of integral equations for the probability density function (pdf) of the waiting time. After pondering for many months whether there might be a faster, easier way to derive the integral equations, I ?nally discovered the basic theorems for such a method in August, 1974. The theorems establish a connection between sample-path level-crossing rates of the virtual wait process and the pdf of the waiting time. This connection was not found anywhere else in the literature at the time. I immediately developed a comprehensive new methodology for deriving the integral equations based on these theorems, and called it system point theory. (Subsequently it was called system point method,or system point level crossing method: SPLC or simply LC.) I rewrote the entire PhD thesis from November 1974 to March 1975, using LC to reach solutions. The new thesis was called System Point Theory in Exponential Queues. On June 12, 1975 I presented an invited talk on the new methodology at the Fifth Conference on Stochastic Processes and their Applications at the University of Maryland. Many queueing theorists were present.

Handbook of Marketing Decision Models

Handbook of Marketing Decision Models PDF Author: Berend Wierenga
Publisher: Springer Science & Business Media
ISBN: 0387782125
Category : Business & Economics
Languages : en
Pages : 621

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Book Description
Marketing models is a core component of the marketing discipline. The recent developments in marketing models have been incredibly fast with information technology (e.g., the Internet), online marketing (e-commerce) and customer relationship management (CRM) creating radical changes in the way companies interact with their customers. This has created completely new breeds of marketing models, but major progress has also taken place in existing types of marketing models. The HANDBOOK OF MARKETING DECISION MODELS presents the state of the art in marketing decision models, dealing with new modeling areas such as customer relationship management, customer value and online marketing, but also describes recent developments in other areas. In the category of marketing mix models, the latest models for advertising, sales promotions, sales management, and competition are dealt with. New developments are presented in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets. Not only are the most recent models discussed, but the book also pays attention to the implementation of marketing models in companies and to applications in specific industries.