Optimization Models

Optimization Models

This accessible textbook demonstrates how to recognize, simplify, model and solve optimization problems - and apply these principles to new projects.

Author: Giuseppe C. Calafiore

Publisher: Cambridge University Press

ISBN: 9781107050877

Category: Business & Economics

Page: 660

View: 867

This accessible textbook demonstrates how to recognize, simplify, model and solve optimization problems - and apply these principles to new projects.
Categories: Business & Economics

Inventory Optimization

Inventory Optimization

In this book . . . Nicolas Vandeput hacks his way through the maze of quantitative supply chain optimizations. This book illustrates how the quantitative optimization of 21st century supply chains should be crafted and executed. . .

Author: Nicolas Vandeput

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 9783110673944

Category: Business & Economics

Page: 318

View: 152

In this book . . . Nicolas Vandeput hacks his way through the maze of quantitative supply chain optimizations. This book illustrates how the quantitative optimization of 21st century supply chains should be crafted and executed. . . . Vandeput is at the forefront of a new and better way of doing supply chains, and thanks to a richly illustrated book, where every single situation gets its own illustrating code snippet, so could you. --Joannes Vermorel, CEO, Lokad Inventory Optimization argues that mathematical inventory models can only take us so far with supply chain management. In order to optimize inventory policies, we have to use probabilistic simulations. The book explains how to implement these models and simulations step-by-step, starting from simple deterministic ones to complex multi-echelon optimization. The first two parts of the book discuss classical mathematical models, their limitations and assumptions, and a quick but effective introduction to Python is provided. Part 3 contains more advanced models that will allow you to optimize your profits, estimate your lost sales and use advanced demand distributions. It also provides an explanation of how you can optimize a multi-echelon supply chain based on a simple—yet powerful—framework. Part 4 discusses inventory optimization thanks to simulations under custom discrete demand probability functions. Inventory managers, demand planners and academics interested in gaining cost-effective solutions will benefit from the "do-it-yourself" examples and Python programs included in each chapter.
Categories: Business & Economics

Optimization Models Using Fuzzy Sets and Possibility Theory

Optimization Models Using Fuzzy Sets and Possibility Theory

This is particularly true if the problem under considera tion includes vaguely defined relationships, human evaluations, uncertainty due to inconsistent or incomplete evidence, if na tural language has to be modelled or if state variables ...

Author: J. Kacprzyk

Publisher: Springer Science & Business Media

ISBN: 9789400938694

Category: Mathematics

Page: 462

View: 362

Optimization is of central concern to a number of discip lines. Operations Research and Decision Theory are often consi dered to be identical with optimizationo But also in other areas such as engineering design, regional policy, logistics and many others, the search for optimal solutions is one of the prime goals. The methods and models which have been used over the last decades in these areas have primarily been "hard" or "crisp", i. e. the solutions were considered to be either fea sible or unfeasible, either above a certain aspiration level or below. This dichotomous structure of methods very often forced the modeller to approximate real problem situations of the more-or-less type by yes-or-no-type models, the solutions of which might turn out not to be the solutions to the real prob lems. This is particularly true if the problem under considera tion includes vaguely defined relationships, human evaluations, uncertainty due to inconsistent or incomplete evidence, if na tural language has to be modelled or if state variables can only be described approximately. Until recently, everything which was not known with cer tainty, i. e. which was not known to be either true or false or which was not known to either happen with certainty or to be impossible to occur, was modelled by means of probabilitieso This holds in particular for uncertainties concerning the oc currence of events.
Categories: Mathematics

Optimization Models and Concepts in Production Management

Optimization Models and Concepts in Production Management

Rosenblatt et al ( 25 ) used an integer non - linear optimization model to obtain optimal design parameters for automated storage and retrieval systems . For the buffer allocation in a FMS , Azadivar and Lee ( 4 ) proposed a discrete ...

Author: Bradimaarte

Publisher: CRC Press

ISBN: 2884490205

Category: Mathematics

Page: 339

View: 605

Optimization techniques in production management are becoming increasingly important for efficient and competitive manufacturing. This book presents a collection of tutorial papers by outstanding researchers on the application of optimization concepts. Topics introduced include hierarchical production planning and large scale scheduling, optimal production control, exact and heuristic algorithms for production scheduling and stochastic modelling.
Categories: Mathematics

Optimization Models in Software Reliability

Optimization Models in Software Reliability

This book provides a comprehensive insight into present-day practices in software reliability engineering, making it relevant to students, researchers, academics and practising consultants and engineers.

Author: Anu G. Aggarwal

Publisher: Springer

ISBN: 3030789187

Category: Technology & Engineering

Page: 373

View: 283

The book begins with an introduction to software reliability, models and techniques. The book is an informative book covering the strategies needed to assess software failure behaviour and its quality, as well as the application of optimization tools for major managerial decisions related to the software development process. It features a broad range of topics including software reliability assessment and apportionment, optimal allocation and selection decisions and upgradations problems. It moves through a variety of problems related to the evolving field of optimization of software reliability engineering, including software release time, resource allocating, budget planning and warranty models, which are each explored in depth in dedicated chapters. This book provides a comprehensive insight into present-day practices in software reliability engineering, making it relevant to students, researchers, academics and practising consultants and engineers.
Categories: Technology & Engineering

Optimization Models in Software Reliability

Optimization Models in Software Reliability

Time-between-defects and Time-to-eliminate-defects are the two responses that we need to optimize. ... and S/N Ratio and a curve fitting reliability model is obtained for the robust multi-response optimization problem in sixth step.

Author: Anu G. Aggarwal

Publisher: Springer Nature

ISBN: 9783030789190

Category:

Page:

View: 506

Categories:

Optimization Modelling

Optimization Modelling

The mathematical model is the experimental test bed on which one can test new decision alternatives' impact on the existing ... The major kinds of models of interest to optimization are the symbolic or mathematical models that allow ...

Author: Ruhul Amin Sarker

Publisher: CRC Press

ISBN: 1420043110

Category: Technology & Engineering

Page: 502

View: 753

Although a useful and important tool, the potential of mathematical modelling for decision making is often neglected. Considered an art by many and weird science by some, modelling is not as widely appreciated in problem solving and decision making as perhaps it should be. And although many operations research, management science, and optimization books touch on modelling techniques, the short shrift they usually get in coverage is reflected in their minimal application to problems in the real world. Illustrating the important influence of modelling on the decision making process, Optimization Modelling: A Practical Approach helps you come to grips with a wide range of modelling techniques. Highlighting the modelling aspects of optimization problems, the authors present the techniques in a clear and straightforward manner, illustrated by examples. They provide and analyze the formulation and modelling of a number of well-known theoretical and practical problems and touch on solution approaches. The book demonstrates the use of optimization packages through the solution of various mathematical models and provides an interpretation of some of those solutions. It presents the practical aspects and difficulties of problem solving and solution implementation and studies a number of practical problems. The book also discusses the use of available software packages in solving optimization models without going into difficult mathematical details and complex solution methodologies. The emphasis on modelling techniques rather than solution algorithms sets this book apart. It is a single source for a wide range of methods, classic theoretical and practical problems, data collection and input preparation, the use of different optimization software, and practical issues of modelling, model solving, and implementation. The authors draw directly from their experience to provide lessons learned when applying modelling techniques to practical problem solving and implementation difficulties.
Categories: Technology & Engineering

Optimization Modelling

Optimization Modelling

The emphasis on modelling techniques rather than solution algorithms sets this book apart.

Author: Ruhul Amin Sarker

Publisher: CRC PressI Llc

ISBN: 1420043102

Category: Business & Economics

Page: 469

View: 170

Mathematical modeling is an essential part of most optimization problem-solving processes. To reduce the gap between the solutions obtained from mathematical models and the real-world solutions to practical problems, appropriate modeling techniques must be applied along with efficient solution approaches. "Optimization Modelling" presents different modeling techniques, illustrated by various examples. A range of well-known theoretical and practical problems are analyzed, and the use of optimization packages is demonstrated for mathematical models. Including numerous case studies, the book also addresses practical aspects and challenges of problem solving and solution implementation.
Categories: Business & Economics

Optimization Models for Strategic Planning

Optimization Models for Strategic Planning

Such a model could be run under the assumption that individual business plans are given (bottom-up planning) or calculated by the overall optimization model (top-down planning). The experience of Shell Oil Company is particularly ...

Author: Thomas H. Naylor

Publisher: North Holland

ISBN: STANFORD:36105030636604

Category: Business planning

Page: 184

View: 635

Categories: Business planning

An Optimization Primer

An Optimization Primer

This book introduces a general audience to the main facets of optimization.

Author: Lawrence Nazareth

Publisher: Springer Science & Business Media

ISBN: 0387211551

Category: Mathematics

Page: 108

View: 188

This book introduces a general audience to the main facets of optimization. Very little mathematical background is assumed. It should appeal to students, teachers, and a general audience interested in how optimization affects their everyday life, such as people in business.
Categories: Mathematics

Introduction to Computational Optimization Models for Production Planning in a Supply Chain

Introduction to Computational Optimization Models for Production Planning in a Supply Chain

An easy-to-read introduction to the concepts associated with the creation of optimization models for production planning starts off this book.

Author: Stefan Voß

Publisher: Springer Science & Business Media

ISBN: 9783540247647

Category: Business & Economics

Page: 233

View: 219

An easy-to-read introduction to the concepts associated with the creation of optimization models for production planning starts off this book. These concepts are then applied to well-known planning models, namely mrp and MRP II. From this foundation, fairly sophisticated models for supply chain management are developed. Another unique feature is that models are developed with an eye toward implementation. In fact, there is a chapter that provides explicit examples of implementation of the basic models using a variety of popular, commercially available modeling languages.
Categories: Business & Economics

Optimization Models for Comprehensive Transportation Infrastructure Maintenance

Optimization Models for Comprehensive Transportation Infrastructure Maintenance

... publications: Tsunokawa, K. and Schofer, J., "Dynamic Model for Optimizing the Timing and Intensity of Highway Pavement Maintenance," paper presented at The Fourth World Conference on Transportation Research, Vancouver, May 1986.

Author: Koji Tsunokawa

Publisher:

ISBN: NWU:35556021429253

Category: Pavements

Page: 504

View: 380

Categories: Pavements

Optimization in Engineering

Optimization in Engineering

The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties.

Author: Ramteen Sioshansi

Publisher: Springer

ISBN: 9783319567693

Category: Mathematics

Page: 412

View: 915

This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems. The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.
Categories: Mathematics

Practical Examples of Energy Optimization Models

Practical Examples of Energy Optimization Models

This book highlights state-of-the-art research on renewable energy integration technology and suitable and efficient power generation, discussing smart grids, renewable energy grid integration, prediction control models, and econometric ...

Author: Samsul Ariffin Abdul Karim

Publisher: Springer Nature

ISBN: 9789811521997

Category:

Page:

View: 582

Categories:

Lean and Green Supply Chain Management

Lean and Green Supply Chain Management

This book presents the latest developments in optimization and optimal control models; exact, approximate and hybrid methods; and their applications in lean and green supply chains.

Author: Turan Paksoy

Publisher: Springer

ISBN: 9783319975115

Category: Business & Economics

Page: 270

View: 607

This book presents the latest developments in optimization and optimal control models; exact, approximate and hybrid methods; and their applications in lean and green supply chains. It examines supply chain network design and modeling, closed loop supply chains, and lean, green, resilient and agile or responsive networks, and also discusses corporate social responsibility and occupational health and safety. It particularly focuses on supply chain management under uncertainty – employing stochastic or nonlinear modeling, simulation based studies and optimization – multi-criteria decision-making and applications of fuzzy set theory, and covers various aspects of supply chain management such as risk management, supplier selection or the design of automated warehouses. Lastly, using experimental applications and practical case studies, it shows the impact of lean and green applications on vehicle/fleet management and operations management.
Categories: Business & Economics

Robust Optimization of Spline Models and Complex Regulatory Networks

Robust Optimization of Spline Models and Complex Regulatory Networks

He suggested a linear optimization model to create a solution that was feasible for all input data such that each uncertain input data point could take any value from an interval but, this approach tended to find solutions that were ...

Author: Ayşe Özmen

Publisher: Springer

ISBN: 9783319308005

Category: Business & Economics

Page: 139

View: 352

This book introduces methods of robust optimization in multivariate adaptive regression splines (MARS) and Conic MARS in order to handle uncertainty and non-linearity. The proposed techniques are implemented and explained in two-model regulatory systems that can be found in the financial sector and in the contexts of banking, environmental protection, system biology and medicine. The book provides necessary background information on multi-model regulatory networks, optimization and regression. It presents the theory of and approaches to robust (conic) multivariate adaptive regression splines - R(C)MARS – and robust (conic) generalized partial linear models – R(C)GPLM – under polyhedral uncertainty. Further, it introduces spline regression models for multi-model regulatory networks and interprets (C)MARS results based on different datasets for the implementation. It explains robust optimization in these models in terms of both the theory and methodology. In this context it studies R(C)MARS results with different uncertainty scenarios for a numerical example. Lastly, the book demonstrates the implementation of the method in a number of applications from the financial, energy, and environmental sectors, and provides an outlook on future research.
Categories: Business & Economics

Neutrosophic Optimization Model and Computational Algorithm for Optimal Shale Gas Water Management under Uncertainty

Neutrosophic Optimization Model and Computational Algorithm for Optimal Shale Gas Water Management under Uncertainty

[18] discussed a numerical optimization model of desorption and adsorption processes for hydraulic fracturing stimulations that was optimized by assuming polar co-ordinate and balance space, respectively. To estimate the receptacle ...

Author: Firoz Ahmad

Publisher: Infinite Study

ISBN:

Category: Mathematics

Page: 34

View: 791

Shale gas energy is the most prominent and dominating source of power across the globe. The processes for the extraction of shale gas from shale rocks are very complex. In this study, a multi objective optimization framework is presented for an overall water management system that includes the allocation of freshwater for hydraulic fracturing and optimal management of the resulting wastewater with different techniques. The generated wastewater from the shale fracking process contains highly toxic chemicals. The optimal control of a massive amount of contaminated water is quite a challenging task.
Categories: Mathematics

Optimization Modeling with Spreadsheets

Optimization Modeling with Spreadsheets

The book is an ideal reference for readers wishing to advance their knowledge of Excel and modeling and is also a useful guide for MBA students and modeling practitioners in business and non-profit sectors interested in spreadsheet ...

Author: Kenneth R. Baker

Publisher: John Wiley & Sons

ISBN: 9781118937693

Category: Business & Economics

Page: 400

View: 199

An accessible introduction to optimization analysis using spreadsheets Updated and revised, Optimization Modeling with Spreadsheets, Third Edition emphasizes model building skills in optimization analysis. By emphasizing both spreadsheet modeling and optimization tools in the freely available Microsoft® Office Excel® Solver, the book illustrates how to find solutions to real-world optimization problems without needing additional specialized software. The Third Edition includes many practical applications of optimization models as well as a systematic framework that illuminates the common structures found in many successful models. With focused coverage on linear programming, nonlinear programming, integer programming, and heuristic programming, Optimization Modeling with Spreadsheets, Third Edition features: An emphasis on model building using Excel Solver as well as appendices with additional instructions on more advanced packages such as Analytic Solver Platform and OpenSolver Additional space devoted to formulation principles and model building as opposed to algorithms New end-of-chapter homework exercises specifically for novice model builders Presentation of the Sensitivity Toolkit for sensitivity analysis with Excel Solver Classification of problem types to help readers see the broader possibilities for application Specific chapters devoted to network models and data envelopment analysis A companion website with interactive spreadsheets and supplementary homework exercises for additional practice Optimization Modeling with Spreadsheets, Third Edition is an excellent textbook for upper-undergraduate and graduate-level courses that include deterministic models, optimization, spreadsheet modeling, quantitative methods, engineering management, engineering modeling, operations research, and management science. The book is an ideal reference for readers wishing to advance their knowledge of Excel and modeling and is also a useful guide for MBA students and modeling practitioners in business and non-profit sectors interested in spreadsheet optimization.
Categories: Business & Economics

Modern Optimization Modelling Techniques

Modern Optimization Modelling Techniques

The compiled material of this book puts on display this versatility, by exhibiting the three parallel and complementary components of optimization: theory, algorithms, and practical problems.

Author: Roberto Cominetti

Publisher: Birkhäuser

ISBN: 3034802900

Category: Business & Economics

Page: 269

View: 544

The theory of optimization, understood in a broad sense, is the basis of modern applied mathematics, covering a large spectrum of topics from theoretical considerations (structure, stability) to applied operational research and engineering applications. The compiled material of this book puts on display this versatility, by exhibiting the three parallel and complementary components of optimization: theory, algorithms, and practical problems. The book contains an expanded version of three series of lectures delivered by the authors at the CRM in July 2009. The first part is a self-contained course on the general moment problem and its relations with semidefinite programming. The second part is dedicated to the problem of determination of Nash equilibria from an algorithmic viewpoint. The last part presents congestion models for traffic networks and develops modern optimization techniques for finding traffic equilibria based on stochastic optimization and game theory.
Categories: Business & Economics

Simulation optimization Approach to Management of Ground water Resources in the Albuquerque Area New Mexico 2006 Through 2040

Simulation optimization Approach to Management of Ground water Resources in the Albuquerque Area  New Mexico  2006 Through 2040

functions generated for the various background withdrawal rates do not invalidate the results of the optimization models , the sensitivity test indicates that the appropriateness of the background withdrawal rate selected for a ...

Author: Laura M. Bexfield

Publisher:

ISBN: UCR:31210019512761

Category: Groundwater

Page: 82

View: 351

Categories: Groundwater