Operational research

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.

Secure your container environment against cyberattacks and deliver robust deployments with this practical guideKey FeaturesExplore a variety of Kubernetes components that help you to prevent cyberattacksPerform effective resource management and monitoring with Prometheus and built-in Kubernetes toolsLearn techniques to prevent attackers from compromising applications and accessing resources for crypto-coin miningBook DescriptionKubernetes is an open source orchestration platform for managing containerized applications.

Protect your organization's security at all levels by introducing the latest strategies for securing DevOpsKey FeaturesIntegrate security at each layer of the DevOps pipelineDiscover security practices to protect your cloud services by detecting fraud and intrusionExplore solutions to infrastructure security using DevOps principlesBook DescriptionDevOps has provided speed and quality benefits with continuous development and deployment methods, but it does not guarantee the security of an entire organization.

Designing and deploying solutions using the SAP BusinessObjects Business Intelligence platform 4.

Perform advanced dashboard, visualization, and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau ServerKey FeaturesUnique problem-solution approach to aid effective business decision-makingCreate interactive dashboards and implement powerful business intelligence solutionsIncludes best practices on using Tableau with modern cloud analytics servicesBook DescriptionTableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities.

This volume will assist readers in fitting big data analysis into their service-based organizations.

This book offers an essential review of central theories, current research and applications in the field of numerical representations of ordered structures.

This book is a further development of the theory of parametric control.

This book presents a novel approach to the formulation and solution of three classes of problems: the fully fuzzy transportation problem, the fully fuzzy transshipment problem, and fully fuzzy solid transportation problem.

This book offers a comprehensive and readable introduction to modern business and data analytics.

This textbook covers the fundamental mechanisms of the Six Sigma philosophy, while showing how this approach is used in solving problems that affect the variability and quality of processes and outcomes in business settings.

This book explores the updated version of the GLOBAL algorithm which contains improvements for a local search algorithm and new Java implementations.

It is hard to interpret quantum mechanics.

This book describes five qualitative investment decision-making methods based on the hesitant fuzzy information.

This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes.

This book demonstrates the theoretical value and practical significance of systems science and its logic of thinking by presenting a rigorously developed foundation-a tool for intuitive reasoning, which is supported by both theory and empirical evidence, as well as practical applications in business decision making.

This book highlights recent advances in the field of districting, territory design, and zone design.

This volume presents a selection of research papers on various topics at the interface of statistics and computer science.

Disjunctive Programming is a technique and a discipline initiated by the author in the early 1970's, which has become a central tool for solving nonconvex optimization problems like pure or mixed integer programs, through convexification (cutting plane) procedures combined with enumeration.

This book presents advanced case studies that address a range of important issues arising in space engineering.

Like norms, translation invariant functions are a natural and powerful tool for the separation of sets and scalarization.

This book considers the problem of determining how many barrels of crude oil an oil-producing and exporting country should produce annually for export-along with several other important problems that decision-makers in the crude oil industry face-and discusses procedures for finding optimum solutions for them.

This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management, recommender systems, performance assessment and risk analysis, among others.

This book presents a diversity of innovative and impactful research in the field of industrial and systems engineering (ISE) led by women investigators.

This book closely examines the concept and theory of 'future' from a multidisciplinary perspective, focusing on the practice of forecasting, especially in its interaction with complexity.

This book presents a number of efficient techniques for solving large-scale production scheduling and planning problems in process industries.

This book aims to revisit the "e;traditional"e; interaction between channel strategies and the marketing mix in a connected world.

This book discusses how to build optimization tools able to generate better future studies.

This book introduces the basic concepts of fuzzy collaborative forecasting and clustering, including its methodology, system architecture, and applications.

Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc.

The volume examines the state-of-the-art of productivity and efficiency analysis.

This book deals with the choice of methods to be applied in the decision processes within organizations.

This textbook offers graduate students a concise introduction to the classic notions of convex optimization.

This handbook gathers state-of-the-art research on optimization problems in power distribution systems, covering classical problems as well as the challenges introduced by distributed power generation and smart grid resources.

This book offers a comprehensive review of renewable energy sources and optimization strategies in hybrid power systems (HPSs).

The main purpose of the book is to give a rigorous introduction to the most important and useful solution methods of various types of stochastic control problems for jump diffusions and their applications.

This book offers a timely overview of fuzzy and rough set theories and methods.

The book shows how simulation's long history and close ties to industry since the third industrial revolution have led to its growing importance in Industry 4.

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2019), which was held at Technische Universitat Dresden, Germany, on September 4-6, 2019, and was jointly organized by the German Operations Research Society (GOR) the Austrian Operations Research Society (OGOR), and the Swiss Operational Research Society (SOR/ASRO).

This title provides managers, executives and other professionals with an innovative method for critical decision-making.

The book provides a broad introduction to both the theory and the application of optimization with a special emphasis on the elegance, importance, and usefulness of the parametric self-dual simplex method.

Based on many years of applied research, modeling and educating future decision makers, the authors have selected the critical set of mathematical modeling skills for decision analysis to include in this book.

This tutorial introduces readers to several variants of routing problems with profits.

This book features a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in B ethlehem, Pennsylvania, USA between August 16-18, 2017.

This book provides comprehensive coverage of the latest research on multiple criteria research analysis (MCDA) and related areas, gathering a collection of high-quality chapters prepared by leading scholars in the field.

This proceedings volume presents recent theoretical and practical advances in operational research (OR).

This volume offers the state-of-the-art research and developments in service science and related research, education and practice areas.

This book offers a comprehensive guide to the use of neutrosophic sets in multiple criteria decision making problems.

This book constitutes the proceedings of the 6th International Conference on Decision Support Systems Technologies, ICDSST 2020, organised in Zaragoza, Spain, in May 2020.