The book examines a relatively unexplored issue in supply chain risk management, which is how long companies specifically take to respond to catastrophic events of low probability but high impact. The book also looks at why such supply chain disruptions are unavoidable, and consequently, all complex supply chains are inherently at risk. The book illustrates how companies can respond to supply chain disruptions with faster responses and in shorter lead-times to reduce impact. In reducing total response time, designing solutions, and deploying a recovery plan sooner after a disruption in anticipation of such events, companies reduce the impact of disruption risk. The book also explores the basics of multiple-criteria decision-making (MCDM) and analytic hierarchy process (AHP), and how they contribute to both the quality of the financial economic decision-making process and the quality of the resulting decisions. The book illustrates through cases in the construction sector how this industry has become more complex and riskier due to the diverse nature of activities among global companies.

Risk Management in Supply Chains (Routledge Advances in Risk Management)

Business & Money

Lai, Kin-Keung

Heydari, Mohammad

Xiaohu, Zhou

Insurance

Routledge

Green Transportation and Energy Consumption in China (Routledge Advances in Risk Management)

This book provides insights into China's energy consumption and pollution as well as its energy saving policies. It explores energy saving ways and argues for an energy consumption revolution, which includes technologies to improve transportation resource efficiency, modification of existing transportation infrastructure and structure. This book uses various analytical models to study the relationships within the transportation system. It also includes comparative analysis of China, Japan, the US and developing countries on traffic demand and transportation energy consumption. This book highlights the urgent need to review China's current transportation policies in order to secure a breakthrough in energy saving and emissions reduction.

Wang, Shouyang

杨颖

Chai, Jian

Lu, Quanying

Xing, Limin

Liang, Ting

Reference

This book provides an updated, concise summary of forecasting air travel demand methodology. It looks at air travel demand forecasting research and attempts to outline the whole intellectual landscape of demand forecasting. It helps readers to understand the basic idea of TEI@I methodology used in forecasting air travel demand and how it is used in developing air travel demand forecasting methods. The book also discusses what to do when facing different forecasting problems making it a useful reference for business practitioners in the industry.

Forecasting Air Travel Demand (Routledge Advances in Risk Management)

Zheng, Yafei

Economics

Supply Chain Risk Management in the Apparel Industry (Routledge Advances in Risk Management)

Cheng, Peter

Fu, Yelin

Risk Management in Public-Private Partnerships (Routledge Advances in Risk Management)

Renminbi Exchange Rate Forecasting (Routledge Advances in Risk Management)

Wei, Yunjie

Finance

With the internationalization of Renminbi (RMB), the gradual liberalization of China's capital account and the recent reform of the RMB pricing mechanism, the RMB exchange rate has been volatile. This book examines how we can forecast exchange rate reliably. It explains how we can do so through a new methodology for exchange rate forecasting. The book also analyzes the dynamic relationship between exchange rate and the exchange rate data decomposition and integration, the domestic economic situation, the international economic situation and the public's expectations and how these interactions would affect the exchange rate. The book also explains why this comprehensive integrated approach is the best model for optimizing accuracy in exchange rate forecasting.

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. The result is an up-to-date review of the most recent research developments in forecasting foreign exchange rates coupled with a highly useful methodological approach to predicting rate changes in foreign currency exchanges.

Foreign-Exchange-Rate Forecasting with Artificial Neural Networks (International Series in Operations Research & Management Science, 107)

Yu, Lean

Springer

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. Specifically, the book focuses on V-invex functions in vector optimization that have grown out of the work of Jeyakumar and Mond in the 1990’s. The authors integrate related research into the book and demonstrate the wide context from which the area has grown and continues to grow.

V-Invex Functions and Vector Optimization (Springer Optimization and Its Applications, 14)

Mishra, Shashi K.

Management & Leadership

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