Operational research

This book constitutes the proceedings of the 12th International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2015, held in Barcelona, Spain, in May 2015.

This focuses on the developing field of building probability models with the power of symbolic algebra systems.

This book is a practical and theoretical guide that demonstrates how to leverage investment data in numerical models despite uncertainty and ambiguity.

Multifunctional Nanocomposites for Targeted Drug Delivery in Cancer Therapy explores the design, synthesis, and application of different multifunctional nanocomposites drug delivery system for cancer treatment.

Resistance to Anti-CD20 Antibodies and Approaches for Their Reversal presents in-depth content written by international experts in the study of resistance to anti-CD20 antibodies and approaches for their reversal.

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.

This volume describes how frontier efficiency methodologies such as Data Envelopment Analysis (DEA) and other techniques such as multi-criteria decision making can help service industries to improve their performance by providing a ranking of best-practice efficient service units and by identifying sources of inefficiency for each service unit.

This book was written for an introductory one-semester or two-quarter course in stochastic processes and their applications.

In this book quantitative approaches are proposed for production planning problems in automated manufacturing.

This book studies the urban logistics system from the perspective of reliability, based on the theory of urban logistics and system reliability, with the research of urban logistics system reliability as the main line, with matter element analysis and ant colony algorithm as the main research tools.

There is a prevailing view among researchers and practitioners that abnormal risk-adjusted returns are an anomaly of financial market inefficiency.

The 5th edition of this classic textbook covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular.

Efficiently deploy and manage Kubernetes clusters on a cloudKey FeaturesDeploy highly scalable applications with Kubernetes on AzureLeverage AKS to deploy, manage, and operations of KubernetesGain best practices from this guide to increase efficiency of container orchestration service on CloudBook DescriptionMicrosoft is now one of the most significant contributors to Kubernetes open source projects.

A path player game is a new innovative type of game which considers network flow problems from the viewpoint of network owners.

This book gathers selected peer-reviewed papers from the 15th World Congress on Engineering Asset Management (WCEAM), which was hosted by The Federal University of Mato Grosso do Sul Campo Grande, Brazil, from 15--18 August 2021This book covers a wide range of topics in engineering asset management, including: strategy and standards;sustainability and resiliency;servitisation and Industry 4.

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Mathematical programming has know a spectacular diversification in the last few decades.

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Computational Methods in Drug Discovery and Repurposing for Cancer Therapy provides knowledge about ongoing research as well as computational approaches for drug discovery and repurposing for cancer therapy.

This book presents an innovative framework for enhancing creativity in decision-making by applying systems thinking principles and tools.

This monograph deals with theoretical and practical aspects of creating course timetables at academic institutions.

This book discusses new determinants for optimal portfolio selection.

This book introduces readers to advanced data science techniques for signal mining in connection with agriculture.

"e;Uberization,"e; "e;digitalization,"e; "e;platform economy,"e; "e;gig economy,"e; and "e;sharing economy"e; are some of the buzzwords that characterize the current intense discussions about the development of the economy and work around the world, among both experts and laypersons.

Soft computing has provided sophisticated methodologies for the development of intelligent decision support systems.

This new Handbook addresses the state of the art in the application of operations research models to problems in preventing terrorist attacks, planning and preparing for emergencies, and responding to and recovering from disasters.

This book presents models and algorithms for complex scheduling problems.

For students who want to advance their understanding of company logistics and supply chains, the author examines how a number of firms in a supply chain work together to create a flow of products and services that satisfies end customers, whilst enabling all the manufacturing and service companies involved to grow profitably.

This volume, which highlights recent advances in statistical methodology and applications, is divided into two main parts.

Multifunctional Nanocomposites for Targeted Drug Delivery in Cancer Therapy explores the design, synthesis, and application of different multifunctional nanocomposites drug delivery system for cancer treatment.

This first book on Maritime Informatics describes the potential for Maritime Informatics to enhance the shipping industry.

This book is about the role of expert systems in marketing, particularly in the consumer goods industry.

Many academic authors incur debts in the production of their work, many of which are intellectual.

Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system.

Showing how the method of sustainability assessment plays a key role in choosing the best agricultural productive mode, this book guides the reader through the process of selecting, from among the various approaches for building farming systems, the method of decision-making that will result in the most appropriate outcome, given the context.

This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held on September 2-3, 2019, in Gazimagusa, North Cyprus, Turkey.

This book is about managing the task of forecasting profit.

Cooperative systems are pervasive in a multitude of environments and at all levels.

The book introduces readers to some of the latest advances in and approaches to decision-making methods based on thermodynamic characters and hesitant fuzzy linguistic preference relations.

For linear optimization models that can be formulated as linear programs with the block-angular structure, i.

Making Big Decisions Better is leading a global movement to equip present and next generation leaders with proven strategy tools that enable agile thinking that ignites stronger, more predictable, direct paths to profit.

Learn how to write automated tests for Dynamics 365 Business Central and see how to implement it in your daily workKey FeaturesLeverage automated testing to advance over traditional manual testing methodsWrite, design, and implement automated testsExplore various testing frameworks and tools compatible with Microsoft Dynamics 365 Business CentralBook DescriptionDynamics 365 Business Central is the new cloud-based SaaS ERP proposition from Microsoft.

The factory scheduling problem, that of allocating machines to competing jobs in manufacturing facilities to optimize or at least improve system performance, is encountered in many different manufacturing environments.

The book addresses the vital issue of how business leaders can prepare themselves to deal with the impact of unexpected events.

Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse.

A guide to advances in machine learning for financial professionals, with working Python codeKey FeaturesExplore advances in machine learning and how to put them to work in financial industriesClear explanation and expert discussion of how machine learning works, with an emphasis on financial applicationsDeep coverage of advanced machine learning approaches including neural networks, GANs, and reinforcement learningBook DescriptionMachine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including in insurance, transactions, and lending.