Titlebook: Batching and Scheduling; Models and Methods f Carsten Jordan Book 1996 Springer-Verlag Berlin Heidelberg 1996 Batching.Losgr??e.Lotsizing.P

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https://doi.org/10.1007/978-3-319-98449-0e three-field notation in Table 2.2, we consider problems [α/.,./Σ.)+Σ.] where α ∈ .. For these problems, results from the single-machine case are extended. We restrict the analysis to the batching type . as then, essentially, we only need to modify the branch and bound algorithm B&B[l?ia-.] describ

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Batching and Scheduling978-3-642-48403-2Series ISSN 0075-8442 Series E-ISSN 2196-9957

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https://doi.org/10.1007/978-3-031-10481-7turing system inflexible as for reacting to changes in demand patterns, hence inventories must be maintained to guarantee an acceptable customer service. In this environment, production scheduling faces a number of problems, and this work deals with mathematical models to support the scheduling decisions.

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Lecture Notes in Economics and Mathematical Systemshttp://image.papertrans.cn/b/image/181446.jpg

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History of Spatial Economic TheoryIn this chapter we compare the BSP with the discrete lotsizing and scheduling problem (DLSP). We show that BSP and DLSP address the same planning problem, and we examine the question which solution procedures of the different models are better suited to solve it.

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Bacterial Polysaccharide Vaccines,This final chapter summarizes the results of the work and points out directions for future research.

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Artificial Intelligence Approaches,This chapter deals with artificial intelligence approaches for solving the BSP. We compare two solvers based on the artificial intelligence paradigm and a mixed-integer programming (MIP) solver with each other.

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Summary and Future Work,This final chapter summarizes the results of the work and points out directions for future research.