Title of article
Mathematical modelingandevolutionaryalgorithm-basedapproachforintegrated process planningandscheduling
Author/Authors
Xinyu Li، نويسنده , , LiangGao، نويسنده , , XinyuShao، نويسنده , , ChaoyongZhang، نويسنده , , CuiyuWang، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2010
Pages
12
From page
656
To page
667
Abstract
Traditionally, processplanningandschedulingwereperformedsequentially,whereschedulingwasim-
plemented afterprocessplanshadbeengenerated.Consideringtheircomplementarity,itisnecessaryto
integrate thesetwofunctionsmoretightlytoimprovetheperformanceofamanufacturingsystemgreatly.
In thispaper,amathematicalmodelofintegratedprocessplanningandschedulinghasbeenformulated.
And, anevolutionaryalgorithm-basedapproachhasbeendevelopedtofacilitatetheintegrationandopti-
mization ofthesetwofunctions.Toimprovetheoptimizedperformanceoftheapproach,efficientgenetic
representation andoperatorschemeshavebeendeveloped.Toverifythefeasibilityandperformanceof
the proposedapproach,experimentalstudieshavebeenconductedandcomparisonshavebeenmadebe-
tween thisapproachandsomepreviousworks.Theexperimentalresultsshowthattheintegratedprocess
planning andschedulingisnecessaryandtheproposedapproachhasachievedsignificantimprovement.
Keywords
Integrated process planning and scheduling , Scheduling , Evolutionary algorithm , Mathematical model
Journal title
Computers and Operations Research
Serial Year
2010
Journal title
Computers and Operations Research
Record number
927679
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