TY - JOUR
T1 - An Evolutionary Algorithm and discrete event simulation for optimizing inspection strategies for multi-stage processes
AU - Van Volsem, Sofie
AU - Dullaert, Wout
AU - Van Landeghem, Hendrik
PY - 2007/6/16
Y1 - 2007/6/16
N2 - The problem of determining the optimal inspection strategy for a given multi-stage production process, i.e. the inspection strategy that results in the lowest total inspection cost, while still assuring a required output quality, is modelled as a joint optimization of inspection location, type and inspection limits. A fusion between a discrete event simulation to model the multi-stage process subject to inspection and to calculate the resulting inspection costs, and an Evolutionary Algorithm (EA) to optimize the inspection strategies, is suggested.
AB - The problem of determining the optimal inspection strategy for a given multi-stage production process, i.e. the inspection strategy that results in the lowest total inspection cost, while still assuring a required output quality, is modelled as a joint optimization of inspection location, type and inspection limits. A fusion between a discrete event simulation to model the multi-stage process subject to inspection and to calculate the resulting inspection costs, and an Evolutionary Algorithm (EA) to optimize the inspection strategies, is suggested.
KW - Evolutionary computations
KW - Inspection allocation
KW - Metaheuristics
KW - Quality economics
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=33845922377&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33845922377&partnerID=8YFLogxK
U2 - 10.1016/j.ejor.2005.03.054
DO - 10.1016/j.ejor.2005.03.054
M3 - Article
AN - SCOPUS:33845922377
VL - 179
SP - 621
EP - 633
JO - European Journal of Operational Research
JF - European Journal of Operational Research
SN - 0377-2217
IS - 3
ER -
