A Study of Production Smoothing in a Job Shop Environment

Cover A Study of Production Smoothing in a Job Shop Environment
A Study of Production Smoothing in a Job Shop Environment
Allan B Cruickshanks
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031, . 031) 1. 11 (1. 117, 1-096) . 09 . 03 . 10 (. 097, . 099) . 02 (. 023, . 023) 1-24 (1. 259, 1. 234) . 08 . 02 . 09 (. 084, . 087) . 02 (. 017, . 018) 1-37 (1. 388, 1. 362) . 07 . 02 . 08 (. 074, . 077) . 01 (. 014, . 014) 1. 49 (1-507, 1. 482) . 06 . 01 (y. Z) y is result for a^ = 5 . Z is result for a^, = 50 .
-25- two models, except at a window length of two periods. Although the production variances of the two models do differ, the production variance of SI, as a function of the window
... length, is very similar in shape to that for S2.
We conclude from the simulation study that for normally-distributed i. I. D demand, model SI can provide significant production smoothing benefits as observed in the case study. Furthermore, the characteristics of the smoothing behavior are predictable from the factors provided in Table 1. Finally we note that the approximate model S2 has some predictive value with regard to the behavior of SI. However the value of S2 seems to be more for explaining and providing insight into the observed behavior of SI, than for predicting this behavior.


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