Optimising lot sizing with nonlinear production rates in a multi-product multi-machine environment

作者: Robert O. Neidigh , Terry P. Harrison

DOI: 10.1080/00207543.2012.752114

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摘要: Abstract We model a nonlinear production process at CTS Reeves, manufacturing firm in Carlisle, PA, using linear approximation and heuristic methods to find near optimal solution determining lot sizes when learning effects are present. In process, the average time produce part varies based upon size, typically, decreases as size increases owing effect. Our uses discrete periods represent lots. The amount of is known for any period, length period increases, amounts increase rate. enable schedule be determined that minimises holding costs. build our prior method, which successfully addressed single-product, single-machine environment. this work, we expand method multiple product single machine e...

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