This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works.
This book introduces impact-driven research paths in computer science, information systems and cybersecurity with practical insights, effective instructions, and examples.
This book describes a wide range real-case applications of Multi-Criteria Decision Making (MCDM) in maritime related subjects including shipping, port, maritime logistics, cruise ports, waterfront developments, and shipping finance, etc.
The Fifth Purdue International Symposium on Statistical Decision The- was held at Purdue University during the period of ory and Related Topics June 14-19,1992.
Like the preceding volumes, and met with a lively response, the present volume is collecting contributions stressed on methodology or successful industrial applications.
This book illustrates the application of grey systems theory to management science research, by developing selection procedures for grey analytical methods suitable for forecasting, decision-making, and analysing variable relationships.
This book is dedicated to the consolidation and to the expansion of theoretic systems thinking as a necessary integration of the general reductionist and analytical attitude dominant in our culture.
This book provides a handy, unified introduction to the theory of compact extended formulations of exponential-size integer linear programming (ILP) models.
This book is an extension of the author's first book and serves as a guide and manual on how to specify and compute 2-, 3-, and 4-Event Bayesian Belief Networks (BBN).
People are facing more and more NP-complete or NP-hard problems of a combinatorial nature and of a continuous nature in economic, military and management practice.
Das vorliegende Buch liefert eine Einführung in das Gebiet des Operations Research und ist primär für Studenten nichtmathematischer Fachrichtungen, insbesondere für Wirtschaftswissenschaftler gedacht.
Die Beiträge dieses Buches beschäftigen sich in wissenschaftlich anspruchsvoller und verständlicher Form mit praktischen Anwendungen und aktuellen theoretischen Entwicklungen des Operations Research und angrenzender Gebiete wie Künstliche Intelligenz und Wirtschaftsinformatik.
Leadership has become a prevalent concept across a variety of disciplines, among them history, politics, management studies, economics, and psychology.
This book takes the reader through real-world examples for how to characterize and measure the productivity and performance of NFPs and education institutions-that is, organisations that produce value for society, which cannot be measured accurately in financial KPIs.
Dieses Buch bietet eine prägnante und dennoch umfassende Einführung in die Resilienz von Lieferketten, die Management-, Modellierungs- und Technologieperspektiven abdeckt.
This book illustrates the importance effective cost management systems inproviding a supportive environment in which reliable and relevant managementinformation can be generated.
This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC's and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup.
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.
Maximize speed, quality, productivity, and profits with QI Macros for ExcelBreakthrough Improvement with QI Macros and Excel: Finding the Invisible Low-Hanging Fruit reveals proven techniques for identifying and analyzing data that will lead to immediate results.
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.
A good business model should describe how an organization creates and delivers value, meaning that financial modelling is a vital tool for business strategy, allowing hypotheses and scenarios to be translated into numbers.