In this paper,we present a number-between-events (NBE) control chart formonitoring the fraction nonconforming in finite horizon production (FHP) processes and related specific performancemeasures. When monitoring fractions nonconforming in FHP processes, the common binomial -chart has two crucial limitations: the underlying distributional assumptions are violated when dealing with low-volume production and a scarce efficiency in the case of processes characterized by a low fraction nonconforming. Thus, an efficient monitoring of FHP processes requires the selection of the correct underlying statisticalmodel: in this case, a distribution from the hypergeometric family of discrete statistical distributions. An efficient statistical monitoring of processes with low fractions nonconforming can be achieved by means of discrete time-between-events (TBE) control charts, which count the number of units up to the appearance of a fixed number of nonconforming units in the sample. Here, we present a discrete TBEchart, denoted as NBE-chart, based on the negative hypergeometric distribution thatmeets numerous requirements of efficientmonitoring of FHP processes. The proposed control chart can be conveniently used for both low-volume and mass production in processes with frequent changeovers.

A number‐between‐events control chart for monitoring finite horizon production processes

Celano, Giovanni
Membro del Collaboration Group
;
2022-01-01

Abstract

In this paper,we present a number-between-events (NBE) control chart formonitoring the fraction nonconforming in finite horizon production (FHP) processes and related specific performancemeasures. When monitoring fractions nonconforming in FHP processes, the common binomial -chart has two crucial limitations: the underlying distributional assumptions are violated when dealing with low-volume production and a scarce efficiency in the case of processes characterized by a low fraction nonconforming. Thus, an efficient monitoring of FHP processes requires the selection of the correct underlying statisticalmodel: in this case, a distribution from the hypergeometric family of discrete statistical distributions. An efficient statistical monitoring of processes with low fractions nonconforming can be achieved by means of discrete time-between-events (TBE) control charts, which count the number of units up to the appearance of a fixed number of nonconforming units in the sample. Here, we present a discrete TBEchart, denoted as NBE-chart, based on the negative hypergeometric distribution thatmeets numerous requirements of efficientmonitoring of FHP processes. The proposed control chart can be conveniently used for both low-volume and mass production in processes with frequent changeovers.
2022
control charts, finite horizon processes, fraction nonconforming, negative hypergeometric control chart, number-between-events, statistical process monitoring
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/518809
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