Stochastic scheduling is in the area of production scheduling. There is a dearth of work that analyzes the variability of schedules. In a stochastic environment, in which the processing time of a job is not known with certainty, a schedule is typically analyzed based on the expected value of a performance measure. This book addresses this problem and presents algorithms to determine the variability of a schedule under various machine configurations and objective functions. It is intended for graduate and advanced undergraduate students in manufacturing, operations management, applied mathematics, and computer science, and it is also a good reference book for practitioners. Computer software containing the algorithms is provided on an accompanying website for ease of student and user implementation.
Written for both scholars and practitioners, this volume focuses on the design, management, use and impacts of Virtual Communities (VCs) from technological, social and economic perspectives. It brings together peer-reviewed research articles that give an in-depth review of the state-of-the-art practices, and also shows opportunities for research and practice in and around VCs.
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