作者: Thomas Seidel
DOI: 10.1007/978-1-84800-225-8_16
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摘要: Supply chain design is a task that has to both be economically efficient and provide viable results. Therefore, the demand placed on supply for modelling methods rapidly efficiently key performance indicators networks assessed desired level of granularity sufficient degree realism. Several such exist each divergently fulfils these requirements. Of special interest in automotive are static scenario comparison dynamic simulation. The former, because it easy comprehend straightforward apply; latter, so powerful its results desirable. Integrating leads significant advantages when during design. combined approach taken provides quick evaluation large number scenarios at suitable higher realism than just applying comparison. Static an adequate initial assessment reduces set networks. These automatically transferred simulation where detailed lower abstraction takes place. Thus, all possible network alternatives quickly. user gains efficiency speed, whilst having best data decision-making.