Logistics management : an analytics-based approach / Tan Miller, Matthew J. Liberatore.

Includes bibliographies and index.

Chapter 1. Introduction -- Part I. Integrated inventory and transportation mode decision making. Chapter 2. Integrating long-term transport mode selection into overall network planning ; Chapter 3. Logistics transport mode decision making ; Chapter 4 Sensitivity analysis -- Part II. Logistics decision support. Chapter 5. Introduction ; Chapter 6. Manufacturing and distribution decision support ; Chapter 7. Inventory management decision support ; Chapter 8. Incorporating feedback loops into logistics decision support ; Chapter 9 Using activity-based costing in logistics decision support -- Part III. Metrics and techniques for logistics monitoring and control. Chapter 10. Introduction ; Chapter 11. Illustrative logistics performance frameworks ; Chapter 12. Creating customized indices to monitor logistics operations ; Chapter 13 Techniques for monitoring day-to-day transportation decisions ; Chapter 14. Final thoughts on logistics analytics and decision support.

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As we head into the ever-more globalized world of the 2020s, the critical role that logistics planning and operations plays in ensuring a firm's financial well-being escalates in importance almost daily. Furthermore,the role of analytics in guiding both logistics planning and operationalactivities has spiked dramatically in the last decade, and this exponential growth shows no sign of slackening. As the phenomenon of Big Data has taken hold in the private sector, firms that as recently as 10 years ago devoted minimal resources to large-scale data mining and analytics have reversed course and invested heavily in data analytics. In this environment, logistics professionals must have at their disposal, and must understand how to utilize, a broad array of analytic techniques and approaches to logistics decision making. Effective use of analytics requires a strong understanding of both fundamental and advanced logistics decision-making techniques and methodologies. Further, logistics professionals must organize and view these analytics-based decision support tools through well-structured planning frameworks. In this book, based on more than 25 years of logistics industry practice, we illustrate and explain a wide range of practical logistics strategies and analytic techniques to facilitate decision making across functions such as manufacturing, warehousing, transportation, and inventory management. Further, we also describe how to organize these analytics-based tools and strategies through logistics frameworks that span strategic, tactical, and operational planning and scheduling decisions.This book is intended for logistics professionals to use as a reference document that offers ideas and guidance for addressing specific logistics management decisions and challenges. In particular, it provides explanatory and "how to implement" guidance on foundational analytics that logistics professionals can employ to generate practical insights to facilitate their daily and longer-term logistics management activities. This book can also serve as a valuable resource or secondary text for graduate and advanced undergraduate students. Students will develop an understanding of leading edge, real-world approaches for logistics planning and scheduling, decision support, performance measurement, and other key logistics activities.

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