Decision Criteria and Optimal Inventory Processes

Decision Criteria and Optimal Inventory Processes

An interesting feature of this book is the special attention it pays to the analysis of some theoretical and applied aspects of fuzzy criteria and dynamic fuzzy criterion models, thus opening up a new way of injecting the much-needed type ...

Author: Baoding Liu

Publisher: Springer Science & Business Media

ISBN: 9781461551515

Category: Business & Economics

Page: 210

View: 342

Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes. Inventory theory is presented by focusing on the analysis and processes underlying decision criteria. Included are many state-of-the-art criterion models as background material. These models are extended to the authors' newly developed fuzzy criterion models which constitute a general framework for the study of stochastic inventory models with special focus on the real world inventory theoretic reservoir operations problems. The applications of fuzzy criterion dynamic programming models are illustrated by reservoir operations including the integrated network of reservoir operation and the open inventory network problems. An interesting feature of this book is the special attention it pays to the analysis of some theoretical and applied aspects of fuzzy criteria and dynamic fuzzy criterion models, thus opening up a new way of injecting the much-needed type of non-cost, intuitive, and easy-to-use methods into multi-stage inventory processes. This is accomplished by constructing and optimizing the fuzzy criterion models developed for inventory processes. Practitioners in operations research, management science, and engineering will find numerous new ideas and strategies for modeling real world multi- stage inventory problems, and researchers and applied mathematicians will find this work a stimulating and useful reference.
Categories: Business & Economics

Optimal Inventory Modeling of Systems

Optimal Inventory Modeling of Systems

... INTEGER PROGRAMMING Vanderbei/LINEAR PROGRAMMING Jaiswal/
MILITARY OPERATIONS RESEARCH Gal ... STOCHASTIC PROCESSES Liu, B.
& Esogbue, A.O./DECISION CRITERIA AND OPTIMAL INVENTORY
PROCESSES ...

Author: Craig C. Sherbrooke

Publisher: Springer Science & Business Media

ISBN: 9781402078651

Category: Business & Economics

Page: 333

View: 835

Most books on inventory theory use the item approach to determine stock levels, ignoring the impact of unit cost, echelon location, and hardware indenture. Optimal Inventory Modeling of Systems is the first book to take the system approach to inventory modeling. The result has been dramatic reductions in the resources to operate many systems - fleets of aircraft, ships, telecommunications networks, electric utilities, and the space station. Although only four chapters and appendices are totally new in this edition, extensive revisions have been made in all chapters, adding numerous worked-out examples. Many new applications have been added including commercial airlines, experience gained during Desert Storm, and adoption of the Windows interface as a standard for personal computer models.
Categories: Business & Economics

Multiple Criteria Optimization

Multiple Criteria Optimization

... PROBABILITY AND STOCHASTIC PROCESSES Liu, B. & Esogbue, A.O. /
DECISION CRITERIA AND OPTIMAL INVENTORY PROCESSES Gal, T., Stewart,
T.J., Hanne, T. / MULTICRITERIA DECISION MAKING: Advances in MCDM
Models, ...

Author: Xavier Gandibleux

Publisher: Springer Science & Business Media

ISBN: 9780306481079

Category: Business & Economics

Page: 496

View: 787

The generalized area of multiple criteria decision making (MCDM) can be defined as the body of methods and procedures by which the concern for multiple conflicting criteria can be formally incorporated into the analytical process. MCDM consists mostly of two branches, multiple criteria optimization and multi-criteria decision analysis (MCDA). While MCDA is typically concerned with multiple criteria problems that have a small number of alternatives often in an environment of uncertainty (location of an airport, type of drug rehabilitation program), multiple criteria optimization is typically directed at problems formulated within a mathematical programming framework, but with a stack of objectives instead of just one (river basin management, engineering component design, product distribution). It is about the most modern treatment of multiple criteria optimization that this book is concerned. I look at this book as a nicely organized and well-rounded presentation of what I view as ”new wave” topics in multiple criteria optimization. Looking back to the origins of MCDM, most people agree that it was not until about the early 1970s that multiple criteria optimization c- gealed as a field. At this time, and for about the following fifteen years, the focus was on theories of multiple objective linear programming that subsume conventional (single criterion) linear programming, algorithms for characterizing the efficient set, theoretical vector-maximum dev- opments, and interactive procedures.
Categories: Business & Economics

Evaluation and Decision Models with Multiple Criteria

Evaluation and Decision Models with Multiple Criteria

INTERNATIONAL SERIES IN OPERATIONS RESEARCH & MANAGEMENT
SCIENCE Frederick S. Hillier, Series ... PROCESSES LILI, B. & Esogbue, A.O./
DECISION CRITERIA AND OPTIMAL INVENTORY PROCESSES Gal, T.,
SIGWHYI, T..

Author: Denis Bouyssou

Publisher: Springer Science & Business Media

ISBN: 9780387310992

Category: Business & Economics

Page: 445

View: 401

Formal decision and evaluation models are so widespread that almost no one can pretend not to have used or suffered the consequences of one of them. This book is a guide aimed at helping the analyst to choose a model and use it consistently. A sound analysis of techniques is proposed and the presentation can be extended to most decision and evaluation models as a "decision aiding methodology".
Categories: Business & Economics

Handbook of Marketing Decision Models

Handbook of Marketing Decision Models

... AND INTEGER PROGRAMMING Vanderbei/LINEAR PROGRAMMING Jaiswal/
MILITARY OPERATIONS RESEARCH ... STOCHASTIC PROCESSES Liu, B. &
Esogbue, A.O./DECISION CRITERIA AND OPTIMAL INVENTORY PROCESSES
 ...

Author: Berend Wierenga

Publisher: Springer Science & Business Media

ISBN: 9780387782133

Category: Business & Economics

Page: 630

View: 235

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. Handbook of Marketing Decision Models presents the state of the art in marketing decision models. The book deals with new modeling areas, such as customer relationship management, customer value and online marketing, as well as recent developments in other advertising, sales promotions, sales management, and competition are dealt with. New developments are in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets.
Categories: Business & Economics

Vacation Queueing Models

Vacation Queueing Models

INTERNATIONAL SERIES IN OPERATIONS RESEARCH & MANAGEMENT
SCIENCE Frederick S. Hillier, Series Editor, ... STOCHASTIC PROCESSES Liu, B
. & Esogbue, A.O./DECISION CRITERIA AND OPTIMAL INVENTORY
PROCESSES ...

Author: Naishuo Tian

Publisher: Springer Science & Business Media

ISBN: 9780387337234

Category: Mathematics

Page: 386

View: 950

This book discusses systematically the many variations of vacation policy. The book discusses a variety of typical vacation model applications. The presentation style is unique compared with the books published in the same field – a "theorem and proof" format is used. Also, this is the first time G1/M/1 multi-server vacation models, both continuous and discrete, and the optimization and control issues have been presented in book form.
Categories: Mathematics

Intelligent Strategies for Meta Multiple Criteria Decision Making

Intelligent Strategies for Meta Multiple Criteria Decision Making

INTERNATIONAL SERIES IN OPERATIONS RESEARCH & MANAGEMENT
SCIENCE Frederick S . Hillier , Series Editor ... DECISION CRITERIA AND
OPTIMAL INVENTORY PROCESSES Gal , Stewart & Hannel MULTICRITERIA
DECISION ...

Author: Thomas Hanne

Publisher: Springer

ISBN: UOM:39015050004483

Category: Business & Economics

Page: 197

View: 600

Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria. Over the past twenty years, numerous multiple criterion decision methods have been developed which are able to solve such problems. However, the selection of an appropriate method to solve a particular decision problem is today's problem for a decision support researcher and decision-maker. Intelligent Strategies for Meta Multiple Criteria Decision-Making deals centrally with the problem of the numerous MCDM methods that can be applied to a decision problem. The book refers to this as a `meta decision problem', and it is this problem that the book analyzes. The author provides two strategies to help the decision-makers select and design an appropriate approach to a complex decision problem. Either of these strategies can be designed into a decision support system itself. One strategy is to use machine learning to design an MCDM method. This is accomplished by applying intelligent techniques, namely neural networks as a structure for approximating functions and evolutionary algorithms as universal learning methods. The other strategy is based on solving the meta decision problem interactively by selecting or designing a method suitable to the specific problem, for example, the constructing of a method from building blocks. This strategy leads to a concept of MCDM networks. Examples of this approach for a decision support system explain the possibilities of applying the elaborated techniques and their mutual interplay. The techniques outlined in the book can be used by researchers, students, and industry practitioners to better model and select appropriate methods for solving complex, multi-objective decision problems.
Categories: Business & Economics

Integrated Methods for Optimization

Integrated Methods for Optimization

... ENVIRONMENTAL POLICY MODELING Shanthikumar , J . G . & Sumita , U . /
APPLIED PROBABILITY AND STOCHASTIC PROCESSES Liu , B . & Esogbue ,
A . O . / DECISION CRITERIA AND OPTIMAL INVENTORY PROCESSES Gal , T .

Author: John N. Hooker

Publisher: Springer

ISBN: 0387382720

Category: Mathematics

Page: 486

View: 857

This book integrates the key concepts of mathematical programming (MP) and constraint programming (CP) into a unified framework that allows them to be generalized and combined. The unification of MP and CP creates optimization methods that have much greater modeling power, increased computational speed, and a sizeable reduction computational coding. This integration along with constraint programming being incorporated into a number of programming languages, brings the field a step closer to being able to simply state a problem and having the computer solve it.
Categories: Mathematics

Generalized Concavity in Fuzzy Optimization and Decision Analysis

Generalized Concavity in Fuzzy Optimization and Decision Analysis

OPERATIONS RESEARCH & MANAGEMENT SCIENCE Frederick S. Hillier ,
Series Editor Stanford University Saigal , R. ... PROCESSES Liu , B. & Esogbue ,
A.O. / DECISION CRITERIA AND OPTIMAL INVENTORY PROCESSES Gal , T.

Author: Jaroslav Ramík

Publisher: Springer

ISBN: UVA:X004555048

Category: Business & Economics

Page: 296

View: 723

Convexity of sets in linear spaces, and concavity and convexity of functions, lie at the root of beautiful theoretical results that are at the same time extremely useful in the analysis and solution of optimization problems, including problems of either single objective or multiple objectives. Not all of these results rely necessarily on convexity and concavity; some of the results can guarantee that each local optimum is also a global optimum, giving these methods broader application to a wider class of problems. Hence, the focus of the first part of the book is concerned with several types of generalized convex sets and generalized concave functions. In addition to their applicability to nonconvex optimization, these convex sets and generalized concave functions are used in the book's second part, where decision-making and optimization problems under uncertainty are investigated. Uncertainty in the problem data often cannot be avoided when dealing with practical problems. Errors occur in real-world data for a host of reasons. However, over the last thirty years, the fuzzy set approach has proved to be useful in these situations. It is this approach to optimization under uncertainty that is extensively used and studied in the second part of this book. Typically, the membership functions of fuzzy sets involved in such problems are neither concave nor convex. They are, however, often quasiconcave or concave in some generalized sense. This opens possibilities for application of results on generalized concavity to fuzzy optimization. Despite this obvious relation, applying the interface of these two areas has been limited to date. It is hoped that the combination of ideas and results from the field of generalized concavity on the one hand and fuzzy optimization on the other hand outlined and discussed in Generalized Concavity in Fuzzy Optimization and Decision Analysis will be of interest to both communities. Our aim is to broaden the classes of problems that the combination of these two areas can satisfactorily address and solve.
Categories: Business & Economics

Dynamic Management Decision and Stochastic Control Processes

Dynamic Management Decision and Stochastic Control Processes

In stochastic control processes , the criterion which minimizes the probability that
the state variables of the stage over all exceed the fixed level is ... Thirdly , we
discuss several advanced topics which lead to the optimal inventory processes .

Author: Toshio Odanaka

Publisher: World Scientific

ISBN: 9810200927

Category: Business & Economics

Page: 221

View: 175

This book treats stochastic control theory and its applications in management. The main numerical techniques necessary for such applications are presented. Several advanced topics leading to optimal processes are dismissed. The book also considers the theory of some stochastic control processes and several applications to illustrate the ideas.
Categories: Business & Economics

Bibliographic Guide to Psychology

Bibliographic Guide to Psychology

177 178 1998 Decision criteria and optimal inventory processes . Liu , Baoding .
Boston : Kluwer Academic ... HQ1426 F847 1998 Fuzzy sets in decision analysis
, operations research , and statistics . Boston : Kluwer Academic Publishers ...

Author: New York Public Library. Research Libraries

Publisher:

ISBN: UOM:39015064461273

Category: Occultism

Page:

View: 437

Categories: Occultism

Proceedings of IEEE International Conference on Fuzzy Systems

Proceedings of     IEEE International Conference on Fuzzy Systems

inventory control , without employing ( fuzzy ) dynamic programming . In the
future one can ... O . Esogbue , Decision Criteria and Optimal Inventory
Processes , Kluwer Academic Publishers , Norwell , Mass . , 1999 . G . Sommer ,
Fuzzy ...

Author:

Publisher:

ISBN: UOM:39015048219656

Category: Fuzzy sets

Page:

View: 395

Categories: Fuzzy sets

The IEEE International Conference on Fuzzy Systems Proceedings

The     IEEE International Conference on Fuzzy Systems Proceedings

inventory control, without employing (fuzzy) dynamic programming. In the future
one can ... B. Liu and A.O.Esogbue, Decision Criteria and Optimal Inventory
Processes, Kluwer Academic Publishers, Norwell, Mass., I999. G. Sommer, Fuzzy
 ...

Author:

Publisher:

ISBN: STANFORD:36105018867684

Category: Intelligent control systems

Page:

View: 117

Categories: Intelligent control systems

Uncertain Programming

Uncertain Programming

[ 97 ] Liu , B . and Esogbue , A . O . , Decision Criteria and Optimal Inventory
Processes , Kluwer Academic Publishers , Boston , 1999 . ( 98 ] Liu , B . ,
Uncertain programming : A unifying optimization theory in various uncertain
environments ...

Author: Baoding Liu

Publisher: Wiley-Interscience

ISBN: UOM:39015054243335

Category: Computers

Page: 248

View: 424

An up-to-date, authoritative, comprehensive look at optimization theory in uncertain environments Real-life management decisions, such as buy/sell decisions in the stock market, are almost always made in uncertain environments. Is it possible to make model decision problems to fit these circumstances? Once constructed, can these models be solved? In Uncertain Programming, Baoding Liu answers both of these questions in the affirmative and goes on to lay a solid foundation for optimization in generally uncertain environments. Uncertain Programming describes the basic concepts of mathematical programming, provides a genetic algorithm for optimization problems, and introduces the techniques of stochastic and fuzzy simulation. After examining some basic results of expected value models, the book moves on to explore chance-constrained programming with stochastic parameters and illustrate applications of chance-constrained programming models. Dr. Liu discusses dependent-chance programming in stochastic environments and extends both chance-constrained and dependent-chance programming from stochastic to fuzzy environments. He then constructs a theoretical framework for fuzzy programming with fuzzy rather than crisp decisions. This remarkable and revolutionary book: * Lays a foundation for optimization theory in uncertain environments * Provides a unifying principle for dealing with stochastic and fuzzy programming * Incorporates the most recent developments in the field * Emphasizes modeling ideas, evolutionary computation, and applications of uncertain programming Uncertain Programming is a reliable, authoritative, and eye-opening guide for researchers and engineers in operations research, management science, business management, information and systems science, and computer science.
Categories: Computers

Markov Decision Processes in Artificial Intelligence

Markov Decision Processes in Artificial Intelligence

... the framework of Markov decision processes, with its decision model, optimality
criteria and optimization algorithms. This framework has become, in recent years,
a premier methodological tool to model, analyze and solve problems of
sequential decision under uncertainty in artificial intelligence. ... 1995. [DE 63] D'
EPENOux F., “A probabilistic production and inventory problem”, Management
Science, ...

Author: Olivier Sigaud

Publisher: John Wiley & Sons

ISBN: 9781118620106

Category: Technology & Engineering

Page: 480

View: 748

Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in Artificial Intelligence. It starts with an introductory presentation of the fundamental aspects of MDPs (planning in MDPs, Reinforcement Learning, Partially Observable MDPs, Markov games and the use of non-classical criteria). Then it presents more advanced research trends in the domain and gives some concrete examples using illustrative applications.
Categories: Technology & Engineering

Management Science in China

Management Science in China

We will formulate different dynamic fuzzy criterion models and show that the
optimal inventory control for all these cases is ... tool for dealing with this type of
decision problems is the novel approach called the fuzzy criterion decision
process .

Author: Liming Liu

Publisher:

ISBN: STANFORD:36105021860833

Category: China

Page: 420

View: 406

Categories: China

Multi Objective Optimization in Chemical Engineering

Multi Objective Optimization in Chemical Engineering

MuIti-objective optimization (MOO) improves decision making by providing many
optimal (non-dominated) solutions for ... In recent times, noneconomic
performance criteria such as environmental impact and the safety of a process
have been becoming ... (2009) have analyzed the inherent safety of a propane
pre-cooled gas-phase liquefied natural-gas process based on liquid hydrocarbon
inventory.

Author: Gade Pandu Rangaiah

Publisher: John Wiley & Sons

ISBN: 9781118341681

Category: Science

Page: 528

View: 272

For reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectives. This book provides an overview of the recent developments and applications of MOO for modeling, design and operation of chemical, petrochemical, pharmaceutical, energy and related processes. It then covers important theoretical and computational developments as well as specific applications such as metabolic reaction networks, chromatographic systems, CO2 emissions targeting for petroleum refining units, ecodesign of chemical processes, ethanol purification and cumene process design. Multi-Objective Optimization in Chemical Engineering: Developments and Applications is an invaluable resource for researchers and graduate students in chemical engineering as well as industrial practitioners and engineers involved in process design, modeling and optimization.
Categories: Science

24th European Symposium on Computer Aided Process Engineering

24th European Symposium on Computer Aided Process Engineering

Proceedings of the 24th European Symposium on Computer Aided Process
Engineering – ESCAPE 24 June 15-18, 2014, ... it is important to identify the
optimal biorefinery processing path with respect to techno-economic
performance criteria. Moreover, during the early design stage, accurate input
data are usually scarce, and some design decisions are taken ... (i) an
identification of an optimal inventory level and processing network under
uncertainty (Yue and You, 2013); or (ii) an ...

Author:

Publisher: Elsevier

ISBN: 9780444634436

Category: Technology & Engineering

Page: 1954

View: 885

The 24th European Symposium on Computer Aided Process Engineering creates an international forum where scientific and industrial contributions of computer-aided techniques are presented with applications in process modeling and simulation, process synthesis and design, operation, and process optimization. The organizers have broadened the boundaries of Process Systems Engineering by inviting contributions at different scales of modeling and demonstrating vertical and horizontal integration. Contributions range from applications at the molecular level to the strategic level of the supply chain and sustainable development. They cover major classical themes, at the same time exploring a new range of applications that address the production of renewable forms of energy, environmental footprints and sustainable use of resources and water.
Categories: Technology & Engineering