Operations and Supply Chain Management OSCM 356 Study Guide - Midterm Guide: Poisson Distribution, Standard Deviation, Random Variable
6 Mar 2017
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J is the total number of js. N is the total number of is: sample average xj = sum(xij)/n. Variance = sigma^2/ n: x = sum xj/j, s^2 = sum (xj - x)^2/jn - 1, cl = x +/- z*s/sqrt(n) Question 8: can use a c chart because we have a poisson distribution. Not x because there is no n. Variance and mean are the same: variables. Ucl = 0. 1 + (1. 64)*sqrt(0. 1) = 0. 61: 0. 2 defect rate is within range of acceptability because < 0. 61. Question 2: does not reach 4 sigma quality. Process analysis: flow rate = min{demand rate, process capacity, utilization = flow rate / capacity. Assembly: capacity = min of bottleneck and demand. Tin plating has a capacity of 2000 units per hour (demand) *m: /( *m, little"s law: i = * t, # waiting: iq = ^sqrt(2(m+1))/1- * (cva^2 + cvp^2)/2. Forecasting: a/f ratios do not have a distribution. Fits the normal distribution pretty well though.
