Supply chain management today has never been more complex, more dynamic or more unpredictable. The good news is that new techniques for analyzing country-level investments, network configuration and in-sourcing/out-sourcing decisions can enable more precise and effective span of control. The latest generation of network design and optimization applications has created broader opportunities to view and streamline links between supply chain network nodes. New concepts in multi-channel demand signal capture -- and in pooling and data warehousing customer signals coming into the enterprise from retail stores, websites and call centers -- can bring the enterprise closer to the customer. Emergence of practices such as multi-channel supply management and virtualized cross-enterprise inventory pools are enabling rapid response to changes in demand, creating a level of "cyber-kanban" unimaginable a few years ago. Companies can now truly respond to the pull of the market rather than the push of supply. Companies are also using advanced Business Intelligence (BI) software to mine the demand signal repository and cull critical insights for action and response. Case in point: Wal-Mart’s response to Hurricane Katrina was based on insights gained from mining community consumption trends during previous hurricanes.

Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding

Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.

In order to keep up with the constant changes in technology, business have adopted supply chain management to improve competitive strategies on a strategic and operational level. Supply Chain Management: Concepts, Methodologies, Tools, and Applications is a reference collection which highlights the major concepts and issues in the application and advancement of supply chain management. Including research from leading scholars, this resource will be useful for academics, students, and practitioners interested in the continuous study of supply chain management and its influences.