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"[This] is a great self-help book for framing the research effort and guiding the reader through the research process. I can't name another book of this type on the market.
Doing Qualitative Research Using Your Computer is a practical, hands-on guide to using commonly available everyday technology, including Microsoft software, to manage and streamline research projects.
Chris Hahn uses straight-forward, everyday language to walk readers through this process, drawing on a wide range of examples to demonstrate how easy it is to use such software. This guide is full of useful hints and tips on how to manage research more efficiently and effectively, including:
Doing Qualitative Research Using Your Computer is ideal for those students or researchers who don't want to invest in expensive specialised software packages and who are looking for a result that is more tailored to their individual needs. It will be an invaluable companion for anyone embarking on their own research project.
Services requiring parts has become a $1.5 trillion business annually worldwide, creating a tremendous incentive to manage the logistics of these parts efficiently by making planning and operational decisions in a rational and rigorous manner. This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications. The focus in this work is on the management of high cost, low demand rate service parts found in multi-echelon settings.
This unique book, with its breadth of topics and mathematical treatment, begins by first demonstrating the optimality of an order-up-to policy or (s-1, s)] in certain environments. This policy is used in the real world and studied throughout the text. The fundamental mathematical building blocks for modeling and solving applications of stochastic process and optimization techniques to service parts management problems are summarized extensively. A wide range of exact and approximate mathematical models of multi-echelon systems is developed and used in practice to estimate future inventory investment and part repair requirements.
The text may be used in a variety of courses for first-year graduate students or senior undergraduates, as well as for practitioners, requiring only a background in stochastic processes and optimization. It will serve as an excellent reference for key mathematical concepts and a guide to modeling a variety of multi-echelon service parts planning and operational problems.
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