Titlebook: Mathematical Modeling for Industrial Processes; Lassi Hyvärinen Book 1970 Springer-Verlag Berlin · Heidelberg 1970 Distribution.mathematic

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Lassi Hyvärinenlies, families with similar demand patterns and inventory cost are aggregated to product groups. Despite of good experience with this concept, its application is limited to large batch production; futhermore, perfect aggregation is impossible..There are, however, certain developments in production t

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Lassi Hyvärinenlies, families with similar demand patterns and inventory cost are aggregated to product groups. Despite of good experience with this concept, its application is limited to large batch production; futhermore, perfect aggregation is impossible..There are, however, certain developments in production t

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in production planning, facilitylayout, inventory control, tool management and scheduling.Some of these problems can be solved off-line, whileothersmust be treated as real-time problems impacted by thechanging state of the system. Additionally, all of theseproblems have to be dealt with in an integr

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Optimizing Models,The purpose of an optimizing model is to improve, and if possible, to find the best available operating point for the process.

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Principal Component Analysis,One of the first tasks in modelling a process is to define the set of controllable variables x.(t) that conceivably do have an effect on the performance variable y that we want to model.

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Regression Analysis,In the preceding two chapters we have covered two important statistical methods, covariance and principal component analysis, that can be used for model identification and simplification.