Titlebook: Decision Analysis, Location Models, and Scheduling Problems; H. A. Eiselt,C.-L. Sandblom Book 2004 Springer-Verlag Berlin Heidelberg 2004

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Project Scheduling with Resource ConstraintsThis chapter extends the previous results by introducing scarce resources into the model. Not only does this make the problem more difficult, it renders large-scale applications unsolvable by exact methods, especially when multiple resources are considered.

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Fundamentals of Machine SchedulingThis introductory chapter is devoted to the discussion of the basic notation and assumptions made in deterministic scheduling theory. We begin by providing some examples of scheduling models that will give insight into the problem. We then give a general description of how scheduling problems can be classified.

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Single Machine SchedulingThis chapter is concerned with single machine scheduling. As mentioned in the previous chapter, three performance criteria will be analyzed in consecutive sections: schedule length (makespan), mean flow time and maximal lateness, respectively. Some other related criteria, such as mean tardiness, will also be discussed.

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https://doi.org/10.1007/978-3-642-31164-2tudies by Simon (1982), Keeney and Raiffa (1976), and the psychological investigations by Kahneman and Tversky (1979). Zimmermann (1991) points out that ., or . for short, can be subdivided into two subsets. They are ., or ., and ., or .. The difference is that in multiobjective models, variables te

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