Matthew J. Liberatore – författare
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3 produkter
355 kr
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350 kr
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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.
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Matthew J. Liberatore Department of Management Villanova University Villanova, PA 19085 1. BACKGROUND The weakening competitive position of many segments of u.s. manufacturing has been analyzed, debated and discussed in corporate boardrooms, academic journals and the popular literature. One result has been a renewed commitment toward improving productivity and quality in the workplace. The drive to reduce manufacturing related costs, while meeting ever-changing customer needs, has led many firms to consider more automated and flexible manufacturing systems. The extent to which these new technologies can support business goals in productivity, quality and flexibility is an especially important issue for manufacturing firms in the u.s. and other Western nations. Problems have arisen in developing performance measures and evaluation criteria which reflect the full range of costs and benefits associated with these technologies. Some would argue that managerial policies and attitudes, and not the shortcomings of the equipment or manufacturing processes, are the major impediments to implementation (Kaplan 1984).