Bücher von Shouyang Wang

This book helps to solve the problem of substantial waste and inefficiency in port production by analyzing operational efficiency at more than 30 Chinese and Korean leading container ports using three types of DEA model.

This book is a comparative study of the critical factors in berth productivity in Chinese and South Korean container terminals. It first defines the concept of berth productivity, and then establishes a regression model to evaluate the productivity factor.

Contract Analysis and Design for Supply Chains with Stochastic Demand

This volume offers a framework to study the interaction of various factors related to risk and their influence on supply chain management. The scope of area covered includes operations management, decision analysis and business administration.

This book focuses on forecasting foreign exchange rates via artificial neural networks (ANNs), creating and applying the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange rate forecasting.

In supply chain management postponement is a deliberate to delay final manufacturing until a customer places an order. This work analyzes how both pull posteponement strategy and form postponement strategy can be leveraged to yield substantial benefits.

This book integrates recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing. The aim is to create some innovative methodologies for credit risk analysis.

This volume summarizes and synthesizes an aspect of research work that has been done in the area of Generalized Convexity over the past few decades. The authors integrate related research into the book and demonstrate the wide context from which the area has grown and continues to grow.

With the rapid development of economic globalization and information technology, the field of economic forecasting continues its expeditious advancement, providing business and government with applicable technologies. Business Intelligence in Economic Forecasting: Technologies and Techniques discusses various Business Intelligence techniques including neural networks, support vector machine, genetic programming, clustering analysis, TEI@I, fuzzy systems, text mining, and many more. This publication serves as a valuable reference for professionals and researchers interested in BI technologies and their practical applications in economic forecasting, as well as policy makers in business organizations and governments.

This book discusses the Kuhn-Tucker Optimality, Karush-Kuhn-Tucker Necessary and Sufficient Optimality Conditions in presence of various types of generalized convexity assumptions. It details the present state of knowledge on research done in this area.

Most of the existing portfolio selection models are based on the probability theory. By using fuzzy mathematical approaches, quan- tative analysis, qualitative analysis, the experts' knowledge and the investors' subjective opinions can be better integrated into a portfolio selection model.

In our daily life, almost every family owns a portfolio of assets. Portfolio theory deals with how to form a satisfied portfolio among an enormous number of assets. In this book, some of the most important progresses in portfolio theory are surveyed and a few new models for portfolio selection are presented.