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Fast fashion is an industrial trend that refers to the concept of shortening lead time (production, distribution) and offering new products to the market as fast as possible. Despite an abundance of research results, there is no comprehensive reference source that covers the state-of-the-art findings on both theoretical modeling and empirical research on fast fashion systems. This edited volume consists of three sections - review and exploratory studies, analytical models, and empirical research made up of many interesting contributions in the respective domain. The result is a...

This unique book systematically examines the interplay among foreign policymakers, the press, and public opinion in the process of China policy decision making from 1950 to 1984. Readers will benefit from the findings that, through 35 years of Sino-American relations, the press helps perpetuate the illusion that has existed in the public mind since 1950. The comprehensive analysis allows readers to understand hoe the press shapes and is shaped by foreign policy decisions.

As a fundamental problem in stochastic inventory control, the newsvendor problem has been studied since the 18th century in the economic literature, and has been widely used to analyze supply chains in fashion and seasonal product industries. Since the 1950s, the newsvendor problem has been extensively studied in operations research and extended to model a variety of real-life problems. The simplest and most elementary version of the newsvendor problem is an optimal stocking problem in which a newsvendor needs to decide how many newspapers to order for future demand, where the future...

Risk analysis is crucial in stochastic supply chain models. Over the past few years, the pace has quickened forresearch attempting to explore risk analysis issues in supply chain management problems, while the majority of recent papers focus on conceptual framework or computational numerical analysis. Pioneered by Nobel laureate Markowitz in the 1950s, the mean-risk (MR) formulation became a fundamental theory for risk management in finance. Despite the significance and popularity of MR-related approaches in finance, their applications in studying multi-echelon supply chain management...

This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This -big data- provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the...

This handbook is a compilation of comprehensive reference sources that provide state-of-the-art findings on both theoretical and applied research on sustainable fashion supply chain management. It contains three parts, organized under the headings of "Reviews and Discussions," "Analytical Research," and "Empirical Research," featuring peer-reviewed papers contributed by researchers from Asia, Europe, and the US. This book is the first to focus on sustainable supply chain management in the fashion industry and is therefore a pioneering text on this topic.

In the fashion industry,...