TY - GEN
T1 - Bayesian models and stochastic processes applied to CSP sampling plans for quality control in production in series and by lots
AU - Correa, Rodrigo Barbosa
AU - Paternina-Arboleda, Carlos D.
AU - Ramírez Ríos, Diana G.
PY - 2009
Y1 - 2009
N2 - Nowadays, businesses consider that their methods are perfect, this means, that by having available a department of analysis and statistic control of the process, everything that the inspector or the inspection tools decides are considered to be correct, with not even a minimum of error involved. Yet, if they considered the principles of uncertainty of Heisenberg, in which he believes that the uncertainty associated to the observation, does not contradict the existence of laws that govern the behavior of the particles in the universe, not even the capacity of the scientists to discover those laws, which will be seen as precise predictions, which can be substituted by the calculations of probabilities. This investigation focuses on the study of CSP sampling plans for acceptance with Bayesian and Markovian revisions, in the processes of production in series and by lots, that support the quality activities and reduction of costs by inspection.
AB - Nowadays, businesses consider that their methods are perfect, this means, that by having available a department of analysis and statistic control of the process, everything that the inspector or the inspection tools decides are considered to be correct, with not even a minimum of error involved. Yet, if they considered the principles of uncertainty of Heisenberg, in which he believes that the uncertainty associated to the observation, does not contradict the existence of laws that govern the behavior of the particles in the universe, not even the capacity of the scientists to discover those laws, which will be seen as precise predictions, which can be substituted by the calculations of probabilities. This investigation focuses on the study of CSP sampling plans for acceptance with Bayesian and Markovian revisions, in the processes of production in series and by lots, that support the quality activities and reduction of costs by inspection.
UR - https://www.scopus.com/pages/publications/77951563177
U2 - 10.1109/WSC.2009.5429224
DO - 10.1109/WSC.2009.5429224
M3 - Conference contribution
AN - SCOPUS:77951563177
SN - 9781424457700
T3 - Proceedings - Winter Simulation Conference
SP - 2995
EP - 2999
BT - Proceedings of the 2009 Winter Simulation Conference, WSC 2009
T2 - 2009 Winter Simulation Conference, WSC 2009
Y2 - 13 December 2009 through 16 December 2009
ER -