Abstract:
Many real-world schcduling problems are multi objGctlve and complex in nature,
ThaI is, there e>."l scvcral critena lilal must be laken into consideralion when
evaluatmg thc quality of thc proposed solullon or schedule. On the other hand
consideration of machine rehabilit y is vcry important dllring job allocatioo in each
stage to get a realistIC hyhrid flow shop ~chcdulc. This research aims to develop
1'1.'0fuzzy infercnee systems (F1S) fDr the hybrid flow ~hop pwblem, Fir~t FIS is
used tD gel the priority of each jDh considering multiple objectives of proces5ing
time, duc date and co;t over time. Second FIS is used tQ get machine rehabiIity and
availability based priorily using lhe infomlalion of mean time to failure (MTTF) &
mcan time to repair (MTTR) of each individual machine of each ~tage. Then the
total load is balanced depcnding on !heir reliability and availabl1ity i.e., maximum
utili,alion target are detenmlled. An algorithm is developed for grouping,
sequencing & aIIDcating the JDbs to the machmes at every stage in such a way lhat
tolal percentage Df over utilization is minimllJll. Accmding to this algorithm a
cDmputing tDol;s developed and w,lh a case study the entire process i, explained,
