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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)."
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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