In the not too distant future, after the huge successes of role-playing games and virtual worlds such as 'The Sims' and 'Second Life' and reality shows such as 'Big Brother', it was only a matter of time before somebody took the next step.
A remote island. An android population existing only to entertain. Their lives broadcast around the clock and around the globe. Their actions dictated by their owners. It's the world's biggest game played by thousands. Welcome to 'Gameworld'.
Dean 3012 is a good guy living on the Island. He loves his girlfriend, Lily, to pieces. With their first baby on the way, life is perfect. But when things take a sinister turn, the couple are plunged into a world of darkness and despair. Dean must somehow find a way to take control and fight for all their lives. Amelia watches the game, given the gift of a droid when she was but a small child. However, when her character's happiness is threatened, how far will Amelia go to protect her?
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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