This new business analytics case study challenges readers to optimize safety stock levels for a fashion company, where consumer demand is exceptionally hard to forecast, and inventory planning is extremely difficult. Crystallizing realistic analytical challenges faced by companies in many industries and markets, it exposes readers to the entire decision-making process, providing opportunities to perform analyses, interpret output, and recommend the best course of action. Author: Tsan-Ming (Jason) Choi, The Hong Kong Polytechnic University.

This new business analytics case study challenges readers to optimize safety stock levels for a fashion company, where consumer demand is exceptionally hard to forecast, and inventory planning is extremely difficult. Crystallizing realistic analytical challenges faced by companies in many industries and markets, it exposes readers to the entire decision-making process, providing opportunities to perform analyses, interpret output, and recommend the best course of action. Author: Tsan-Ming (Jason) Choi, The Hong Kong Polytechnic University.

The first collection of cases on "big data" analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. Perfect for students, practitioners, and certification candidates in SCM, OM, and OR, these short, focused, to-the-point case studies illustrate the entire decision-making process. They provide realistic opportunities to perform analyses, interpret output, and recommend an optimal course of action. Contributed by leading "big data" experts, the cases in The Applied Business Analytics Casebook covers: Forecasting and statistical analysis: time series forecasting models, regression models, data visualization, and hypothesis testing Optimization and simulation: linear, integer, and nonlinear programming; Monte Carlo simulation and risk analysis; and stochastic optimization Decision analysis: decision making under uncertainty; expected value of perfect information; decision trees; game theory models; AHP; and multi-criteria decision making Advanced business analytics: data warehousing/mining; text mining; neural networks; financial analytics; CRM analytics; and revenue management models

Supply chain performance will be a key indicator of overall corporate success into the next century. This book, edited by logistics and supply chain expert John Gattorna, and with international contributions, presents unpublished material on next generation thinking about the management of the supply chain. Based on the recently developed strategic alignment model it shows how external market dynamics, the company’s strategic response, and internal capability must be aligned if competitive advantage is to be achieved. Supply chain management is a strategic challenge demanding top level management attention. This book tackles the subject at that strategic level to help companies reposition their supply chains successfully. The book then offers the vital link between strategy setting and implementation, providing comprehensive coverage of the main areas of execution, and making it an essential compendium on all aspects of the subject. With case studies from major organizations from around the world, it is a ’must’ read for anyone wishing to be at the forefront of international supply chain management thinking. Strategic Supply Chain Alignment brings together for the first time the world’s leading logistics professionals, management consultants and academics to offer their insights and experiences on the latest supply chain management techniques. This collection of previously unpublished material offers the reader a unique opportunity to identify the hot issues, discover emerging strategies and uncover key industry and market perspectives. Divided into five sections which reflect the important components of the strategic alignment model, the book covers: The market: Customer value creation and segmentation, and the rationale behind the integration of supply with demand. Strategic response: Considers channel strategy, supply chain configuration and operations and distribution management. Culture: Adopting organization options which focus on delivering.

Fashion Retail Supply Chain Management: A Systems Optimization Approach is a comprehensive reference source that provides the state-of-the-art findings on many important emerging research issues related to retail supply chain management and optimization problems. The book takes an explicit systems approach, and discusses retailled fashion supply ch

The 21st century has witnessed important changes in retail logistics. Supply chain managers are presented with key challenges as retailers have recognised the strategic role that supply chains play in cost reduction and customer service. The 4th edition of Logistics and Retail Management has been substantially updated to take account of these recent developments in retail logistics. Logistics and Retail Management provides the most up-to-date thinking in retail supply chain management, reflecting the changing needs of the global marketplace and the challenges faced by retailers in the 21st century. With contributions from acclaimed academics and practitioners, it covers global logistics, fashion logistics, e-logistics and green supply chains. The 4th edition features brand new chapters on supply chain management in international fashion and corporate social responsibility in the textile supply chain.

With crisp and insightful contributions from 47 of the world’s leading experts in various facets of retailing, Retailing in the 21st Century offers in one book a compendium of state-of-the-art, cutting-edge knowledge to guide successful retailing in the new millennium. In our competitive world, retailing is an exciting, complex and critical sector of business in most developed as well as emerging economies. Today, the retailing industry is being buffeted by a number of forces simultaneously, for example the growth of online retailing and the advent of ‘radio frequency identification’ (RFID) technology. Making sense of it all is not easy but of vital importance to retailing practitioners, analysts and policymakers.

INTERMITTENT DEMAND FORECASTING The first text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting Intermittent Demand Forecasting is for anyone who is interested in improving forecasts of intermittent demand products, and enhancing the management of inventories. Whether you are a practitioner, at the sharp end of demand planning, a software designer, a student, an academic teaching operational research or operations management courses, or a researcher in this field, we hope that the book will inspire you to rethink demand forecasting. If you do so, then you can contribute towards significant economic and environmental benefits. No prior knowledge of intermittent demand forecasting or inventory management is assumed in this book. The key formulae are accompanied by worked examples to show how they can be implemented in practice. For those wishing to understand the theory in more depth, technical notes are provided at the end of each chapter, as well as an extensive and up-to-date collection of references for further study. Software developments are reviewed, to give an appreciation of the current state of the art in commercial and open source software. “Intermittent demand forecasting may seem like a specialized area but actually is at the center of sustainability efforts to consume less and to waste less. Boylan and Syntetos have done a superb job in showing how improvements in inventory management are pivotal in achieving this. Their book covers both the theory and practice of intermittent demand forecasting and my prediction is that it will fast become the bible of the field.” —Spyros Makridakis, Professor, University of Nicosia, and Director, Institute for the Future and the Makridakis Open Forecasting Center (MOFC). “We have been able to support our clients by adopting many of the ideas discussed in this excellent book, and implementing them in our software. I am sure that these ideas will be equally helpful for other supply chain software vendors and for companies wanting to update and upgrade their capabilities in forecasting and inventory management.” —Suresh Acharya, VP, Research and Development, Blue Yonder. “As product variants proliferate and the pace of business quickens, more and more items have intermittent demand. Boylan and Syntetos have long been leaders in extending forecasting and inventory methods to accommodate this new reality. Their book gathers and clarifies decades of research in this area, and explains how practitioners can exploit this knowledge to make their operations more efficient and effective.” —Thomas R. Willemain, Professor Emeritus, Rensselaer Polytechnic Institute.