Demand Driven Inventory Optimization And Replenishment

Remove built-in supply chain weak points to more effectively balance supply and demand Demand-Driven Inventory Optimization and Replenishment shows how companies can support supply chain metrics and business initiatives by removing the weak points built into their inventory systems. Beginning with a thorough examination of Just in Time, Efficient Consumer Response, and Collaborative Forecasting, Planning, and Replenishment, this book walks you through the mathematical shortcuts set up in your management system that prevent you from attaining supply chain excellence. This expanded second edition includes new coverage of inventory performance, business verticals, business initiatives, and metrics, alongside case studies that illustrate how optimized inventory and replenishment delivers results across retail, high-tech, men's clothing, and food sectors. Inventory optimization allows you to avoid out-of-stock situations without impacting the bottom line with excessive inventory maintenance. By keeping just the right amount of inventory on hand, your company is better able to meet demand without sacrificing the cost-effectiveness of other supply chain strategies. The trick, however, is determining "just the right amount"—and this book provides the background and practical guidance you need to do just that. Examine the major supply chain strategies of the last 30 years Remove the shortcuts that prohibit supply chain excellence Optimize your supply/demand balance in any vertical Overcome systemic weaknesses to strengthen the bottom line Inventory optimization is benefitting companies around the world, as exemplified here by case studies involving Matas, PWT, Wistron, and Amway. When inefficiencies are built into the system, it's only smart business to identify and remove them—and implement a new streamlined process that runs like a well-oiled machine. Demand-Driven Inventory Optimization and Replenishment is an essential resource for exceptional supply chain management.

Use demand driven optimized inventory and replenishment to overcome your supply chain weaknesses, and deliver business-maximizing results Reviewing the fundamentals of inventory optimization so that you can attain a demand-driven supply, Demand-Driven Inventory Optimization and Replenishment provides a business look at why present inventory systems sub-optimize the supply chain and faulty replenishment processes lead to wasted time and effort. Straightforward and clearly written, this book allows readers to come away with a good understanding of why optimized inventory and replenishment helps overcome in-system weaknesses and deliver results. Discusses how multi-echelon inventory optimization and replenishment enables installed systems to go from a sequential, "islands of efficiency" approach to a systematic distribution system working as a complete network Provides case studies throughout Reveals how optimized inventory and replenishment delivers results across industry verticals With a historical view of the three major supply chain efforts of the last thirty years, this book discusses mathematical shortcuts set up in the transitional and supply chain management systems that make it very difficult for companies to attain supply chain excellence.

Many manufacturing and distribution companies are moving from the traditional 'forecast push MRP' to demand-driven supply chain management (SCM). Demand-driven SCM is an 'end-to-end' supply chain planning and replenishment process that enables companies to achieve their planned service levels from up to half the average level of inventory and requiring significantly less throughput capacity - irrespective of the level of demand volatility or lead-time length. Demand-Driven Supply Chain Management is the go-to source for industry supply chain/operations executives and students. It describes the 'what, how and why' of the demand-driven SCM process. The key themes in the book are: what is demand-driven? why is demand-driven so effective? how to operate a demand-driven supply chain? and how to adopt the demand-driven process in your company? Readers can quickly grasp the essential concepts from one of numerous self-contained sections that present the book's key concepts from different perspectives. Online resources available include full-colour figures.

This book is for the inventory control practitioner.WIth the techniques described many people have been able to manage their stock of inventory so that their customers are happier and so are the accountants. The reduction of inventory value, the avoidance of unnecessary work and the improvement of customer service can be accomplished at the sam time through simple application of the techniques discussed. Inventory practitioners should be able to use this book to understand the best approaches and then to apply them to their own circumstances. Simple application of the methods is most succesful, while modifications usually result in less effective outcomes.

"An intuitive proven planning and execution method for today's complex and volatile supply chains"--Cover.

Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

It’s time to get your head in the cloud! In today’s business environment, more and more people are requesting cloud-based solutions to help solve their business challenges. So how can you not only anticipate your clients’ needs but also keep ahead of the curve to ensure their goals stay on track? With the help of this accessible book, you’ll get a clear sense of cloud computing and understand how to communicate the benefits, drawbacks, and options to your clients so they can make the best choices for their unique needs. Plus, case studies give you the opportunity to relate real-life examples of how the latest technologies are giving organizations worldwide the opportunity to thrive as supply chain solutions in the cloud. Demonstrates how improvements in forecasting, collaboration, and inventory optimization can lead to cost savings Explores why cloud computing is becoming increasingly important Takes a close look at the types of cloud computing Makes sense of demand-driven forecasting using Amazon's cloud Whether you work in management, business, or IT, this is the dog-eared reference you’ll want to keep close by as you continue making sense of the cloud.

A practical framework for revenue-boosting supply chain management Next Generation Demand Management is a guidebook to next generation Demand Management, with an implementation framework that improves revenue forecasts and enhances profitability. This proven approach is structured around the four key catalysts of an efficient planning strategy: people, processes, analytics, and technology. The discussion covers the changes in behavior, skills, and integrated processes that are required for proper implementation, as well as the descriptive and predictive analytics tools and skills that make the process sustainable. Corporate culture changes require a shift in leadership focus, and this guide describes the necessary "champion" with the authority to drive adoption and stress accountability while focusing on customer excellence. Real world examples with actual data illustrate important concepts alongside case studies highlighting best-in-class as well as startup approaches. Reliable forecasts are the primary product of demand planning, a multi-step operational supply chain management process that is increasingly seen as a survival tactic in the changing marketplace. This book provides a practical framework for efficient implementation, and complete guidance toward the supplementary changes required to reap the full benefit. Learn the key principles of demand driven planning Implement new behaviors, skills, and processes Adopt scalable technology and analytics capabilities Align inventory with demand, and increase channel profitability Whether your company is a large multinational or an early startup, your revenue predictions are only as strong as your supply chain management system. Implementing a proven, more structured process can be the catalyst your company needs to overcome that one lingering obstacle between forecast and goal. Next Generation Demand Management gives you the framework for building the foundation of your growth.