This book is the first work to conduct the emergency logistics optimization problem under the epidemic environment (whether natural or man-made), which provides a new perspective for the application of optimization theory.
This book presents a range of qualitative and quantitative analyses in areas such as cybersecurity, sustainability, multivariate analysis, customer satisfaction, parametric programming, software reliability growth modeling, and blockchain technology, to name but a few.
This book provides an overview of the concept of economic psychology from behavioral and mathematical perspectives and related theoretical and empirical findings.
This book offers an in-depth and systematic introduction to improved failure mode and effects analysis (FMEA) methods for proactive healthcare risk analysis.
This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications.
This book addresses higher-lower level decision autonomy for autonomous vehicles, and discusses the addition of a novel architecture to cover both levels.
This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value uncertain optimal control and optimistic value uncertain optimal control.
This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sector.
This book is devoted to the customization design of product/service system (PSS), making use of a systematic design process and a number of methods, especially Industrial Customer Activity Cycle Analysis, Service Quality Function Deployment, Service Function and Attribute Analysis, Modified Service Blueprint, Multi-Objective Optimization and Multi-Criteria Recommendation Method.
This book presents the latest developments and breakthroughs in fuzzy theory and performance prediction of queuing and reliability models by using the stochastic modeling and optimization theory.
This edited volume is an in-depth collation of the usage of different quantitative decision making techniques in practical areas such as lean & green supply chain, reverse logistics, perishable logistics, closed loop supply chain, sustainable project management, retail management, block chain applications, optimal supplier selection problem, demand/supply modelling, forecasting under uncertainties, scheduling & sequencing, resource constraint logistics, dynamic network supply chain, risk evaluation, and so on.
This book provides an overview of the concept of economic psychology from behavioral and mathematical perspectives and related theoretical and empirical findings.
This book gathers together invited presentations from the 12th International Congress on Logistics and SCM Systems (ICLS2017) held in Beijing, China, August 20-23, 2017.
This is the first book to introduce the major quantitative tools in risk management taking financial investments and logistics planning as the background: optimization and stochastic programming.
This book describes the cognitive and interpersonal effects of group model building, and presents empirical research on what group model building achieves and how.
This book provides a conceptual framework of global value chains, flexibility and sustainability, supported by research projects, case applications and models in various related areas organized into three parts.
The proceedings volume consists of academic papers on decision-making under uncertainty, smart decision, stochastic optimization, management simulation and its applications.
This book addresses the intellectual foundations, function, modeling approaches and complexity of cellular automata; explores cellular automata in combination with genetic algorithms, neural networks and agents; and discusses the applications of cellular automata in economics, traffic and the spread of disease.
Covering network designs, discrete convex analysis, facility location and clustering problems, matching games, and parameterized complexity, this book discusses theoretical aspects of combinatorial optimization and graph algorithms.
This book provides an understanding of Business Continuity Management (BCM) implementation for local/international construction operations, with a primary focus on Indonesian construction firms as an illustrative example.
This book presents a variety of advanced research papers in optimization and dynamics written by internationally recognized researchers in these fields.
These conference proceedings focus on the topics of data-driven decision-making, stochastic decision-making, fuzzy decision-making and their applications in real-life problems.
This book develops and assesses a decision-making model for resource management in complex work systems in line with the "e;Systems Engineering"e; method.
This book offers a thorough and systematic introduction to the modified failure mode and effect analysis (FMEA) models based on uncertainty theories (e.
This book uses sound theoretical frameworks and econometric techniques to rigorously analyze and explain the conditions of sustainable growth in agriculture.
This guide is designed for systems researchers - emerging and seasoned - searching for holistic approaches of inquiry into complexity, which the Systems Sciences provide.
These conference proceedings focus on the topic of decision-making under uncertainty, smart decisions, management simulation and their applications in operations management for power and logistics companies.
Este texto le orienta sobre cómo se debe iniciar un proceso de planeación estratégica paso a paso, sin ser una fórmula mágica ni una receta, ayuda a los directivos a organizar sus ideas respecto al proceso.