ENBIS-22 Trondheim Conference

Session

CONTRIBUTED Process 4

28 Jun 2022, 17:35

EL2

Conveners

CONTRIBUTED Process 4

• Sören Knuts (GKN Aerospace Sweden)

69. Cost-optimal control charts for mixture shift-size distributions

András Zempléni (Eötvös Loránd University, Budapest)

28/06/2022, 17:35

Process

The Markovchart R package is able to minimise the cost of a process, using Markov-chain based $x$-charts under general assumptions (partial repair, random shift-size, missing samples). In this talk a further generalisation will be presented. Quite often the degradation can take different forms (e.g. if there is a chance for abrupt changes besides the „normal” wear), which might be modelled by...

81. IMR — old SPC/M working horse and some numerical treasures

Sven Knoth (Helmut Schmidt University Hamburg, Germany)

28/06/2022, 17:55

Process

The IMR (individual-moving average) control chart is a classical proposal in both SQC books and ISO standards for control charting single observations. Simple rules are given for setting the limits. However, it is more or less known that the MR limits are misplaced. There were some early accurate numerical Average Run Length (ARL) results by Crowder in 1987! However, they are not flawless. We...

27. A p-Value for a True Change when a Cusum Stops

Prof. Mosher Pollak (The Hebrew University of Jerusalem)

28/06/2022, 18:15

Process

When a Cusum signals an alarm, often it is not initially clear whether the alarm is true or false. We argue that in principle the observations leading to a signal may provide information on whether or not an alarm is true. The intuition behind this is that the evolution of a false alarm has a well-defined stochastic behavior, so if observations preceding the alarm were to exhibit a behavior...