TY - JOUR
T1 - Multiple-criteria optimal design of X¯ control charts
AU - Castillo, Enrique Del
AU - Mackin, Patrick
AU - Montgomery, Douglas
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 1996/6
Y1 - 1996/6
N2 - Economic designs of control charts have been criticized for requiring the user to assign explicit costs to type I and type II errors, which are the errors associated with false alarms and running the process while it is out of control. In this paper an interactive multicriteria nonlinear optimization algorithm is applied to a model for the design of X¯ charts. In the proposed model, the user does not need to specify the cost of false alarms and running out of control. Only sampling costs, which usually are relatively easy to estimate, need to be specified. A case study illustrates the interactive procedure for a real set of process data.
AB - Economic designs of control charts have been criticized for requiring the user to assign explicit costs to type I and type II errors, which are the errors associated with false alarms and running the process while it is out of control. In this paper an interactive multicriteria nonlinear optimization algorithm is applied to a model for the design of X¯ charts. In the proposed model, the user does not need to specify the cost of false alarms and running out of control. Only sampling costs, which usually are relatively easy to estimate, need to be specified. A case study illustrates the interactive procedure for a real set of process data.
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U2 - 10.1080/07408179608966293
DO - 10.1080/07408179608966293
M3 - Article
AN - SCOPUS:0030165073
SN - 0740-817X
VL - 28
SP - 467
EP - 474
JO - IIE Transactions (Institute of Industrial Engineers)
JF - IIE Transactions (Institute of Industrial Engineers)
IS - 6
ER -