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Scheduling is an important decision-making process that aims to allocate limited resources to the jobs in a production process. Among scheduling problems, Hybrid Flow Shop (HFS) scheduling has good adaptability with most real world applications including innumerable cases of uncertainty of parameters that would influence jobs processing when the schedule is executed. Thus a suitable scheduling model should take parameters uncertainty into account. The present study develops a multi-objectivedoi:10.22105/jarie.2021.252651.1202 doaj:96aa1a7acdda4e47b88aa486d0631f27 fatcat:eqvwvexgcfhofc5mttyzf2ppwu