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MATCHING SUPPLY WITH DEMAND by Cachon and Terwiesch is the most authoritative, cutting-edge book for operations management MBAs. The book demands rigorous analysis on the part of students without requiring consistent use of sophisticated mathematical modeling to perform it. When the use of quantitative tools or formal modeling is indicated, it is only to perform the necessary analysis needed to inform and support a practical business solution.
Cachon Operations Management 2e is designed for undergraduate students taking an introductory course in Operations Management. This text will share many of the strengths of Matching Supply with Demand: An Introduction to Operations Management. Operations Management by Cachon comprehensively spans the relevant domain of topics, is accessible to a typical undergraduate student (i.e., limited real world business experience), incorporates the latest research and knowledge, and provides thorough pedagogical support for instructors along with innovative learning support for students. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.
This book represents the essential body of knowledge for an introductory operations management course. The guiding principle in the development of Matching Supply with Demand has been “real operations, real solutions.”
Cachon 1e is designed for undergraduate students taking an introductory course in operations management. This text will share many of the strengths of Matching Supply with Demand: An Introduction to Operations Management (3e). Operations Management by Cachon comprehensively spans the relevant domain of topics, is accessible to a typical undergraduate student (i.e., limited real world business experience), incorporates the latest research and knowledge, and provides thorough pedagogical support for instructors along with innovative learning support for students. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.
Quantitative models and computer-based tools are essential for making decisions in today's business environment. These tools are of particular importance in the rapidly growing area of supply chain management. This volume is a unified effort to provide a systematic summary of the large variety of new issues being considered, the new set of models being developed, the new techniques for analysis, and the computational methods that have become available recently. The volume's objective is to provide a self-contained, sophisticated research summary - a snapshot at this point of time - in the area of Quantitative Models for Supply Chain Management. While there are some multi-disciplinary aspects...
Cachon Matching Supply with Demand 4e is a clear, concise and more rigorous approach to an introductory Operations management course. Written by Wharton authors who use their guiding principles “real operations, real solutions” to bring the text and concepts to life, writing the majority of chapters from the perspective of specific companies. The “real solutions” refers to providing students with tools and strategies they can implement in practice and apply the authors models in a realistic operational setting. The authors strive for “real simple” by using as little mathematical notation as possible, focusing on many real world examples and consistent terminology and phrasing throughout.
The Handbook is a comprehensive research reference that is essential for anyone interested in conducting research in supply chain. Unique features include: -A focus on the intersection of quantitative supply chain analysis and E-Business, -Unlike other edited volumes in the supply chain area, this is a handbook rather than a collection of research papers. Each chapter was written by one or more leading researchers in the area. These authors were invited on the basis of their scholarly expertise and unique insights in a particular sub-area, -As much attention is given to looking back as to looking forward. Most chapters discuss at length future research needs and research directions from both theoretical and practical perspectives, -Most chapters describe in detail the quantitative models used for analysis and the theoretical underpinnings; many examples and case studies are provided to demonstrate how the models and the theoretical insights are relevant to real situations, -Coverage of most state-of-the-art business practices in supply chain management.
How AI can positively impact so many aspects of our daily lives, from health and wellness to work, education, and home life. Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life. In the process the authors help explain the underlying technology and give people the agency they need to shape the debate a...
Powerful tools for using operations metrics to analyze companies in ways that go beyond traditional financial models and statements. Investors and analysts often need to look into a firm's operations more deeply than traditional financial statements and models allow. This book describes newly developed tools for using operations metrics to discern and influence the valuation of a firm. It is the first to present these techniques from a unified perspective: that of operations forensics, which looks at operations management not from the traditional point of view of a manager but from that of an investor or shareholder. After a discussion of financial statements and the useful but incomplete in...