Logistics Management: An Analytics-Based Approach
- 2h 2m
- Matthew J. Liberatore, Tan Miller
- Business Expert Press
- 2020
This book illustrates and explains a wide range of practical logistics strategies and analytic techniques to facilitate decision-making across functions such as manufacturing, warehousing, transportation, and inventory management.
Logistics professionals must utilize a broad array of analytic techniques and approaches for decision-making. Effective use of analytics requires an 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, 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. 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, and it will also serve as a valuable resource or secondary text for graduate and advanced undergraduate students.
About the Author
Tan Miller, PhD, is a professor and the director of the supply chain management program at Rider University. Previously he was responsible for the operations of Johnson &Johnson's US Consumer Distribution Network. He also has headed the U.S. Consumer Healthcare Logistics Network of Pfizer, and held positions with Mercer Management Consulting, Unisys, Warner-Lambert, and American Olean Tile Company. Tan has published extensively on logistics, and received an MA, MBA and PhD degrees from the University of Pennsylvania.
In this Book
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Introduction
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Integrating Long-Term Transport Mode Selection into Overall Network Planning
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Logistics Transport Mode Decision Making
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Sensitivity Analysis
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Introduction
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Manufacturing and Distribution Decision Support
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Inventory Management Decision Support
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Incorporating Feedback Loops into Logistics Decision Support
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Using Activity-Based Costing in Logistics Decision Support
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Introduction
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Illustrative Logistics Performance Frameworks
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Creating Customized Indices to Monitor Logistics Operations
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Techniques for Monitoring Day-to-Day Transportation Decisions
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Final Thoughts on Logistics Analytics and Decision Support
