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- W802832670 abstract "A model considered by Bather (1963) for optimal machine tool compensation with fixed adjustment costs and squared off target costs is revisited. A hub machin ing operation at Deere and Company has many features of the historic model but has several distinctive traits as well. Some of these distinctions such as finite pro duction runs, linear tool wear, adjustment error and costly sampling have recently been incorporated into the literature. This paper studies discreteness of the adjust ment variable. Under a suitable regularity condition an optimal adjustment policy is shown to be of the deadband form in which no adjustment is made if a Kalman filter estimate of the process mean is near the target value. n optimal nonzero discrete adjustment is to correct (as nearly as possible) for the estimated misadjustment. Un der another regularity condition the optimal finite horizon deadband limits are shown to converge as the horizon increases in length. Numerical results are discussed which allow comparisons of expected run cost for different levels of discreteness." @default.
- W802832670 created "2016-06-24" @default.
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- W802832670 date "2018-08-13" @default.
- W802832670 modified "2023-09-23" @default.
- W802832670 title "Some aspects of monitoring and control of univariate dynamic systems" @default.
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- W802832670 doi "https://doi.org/10.31274/rtd-180813-9250" @default.
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