Solving Constrained Flow-Shop Scheduling Problem through Multistage Fuzzy Binding Approach with Fuzzy Due Dates

This paper deals with constrained multistage machines flow-shop (FS) scheduling model in which processing times, job weights, and break-down machine time are characterized by fuzzy numbers that piecewise as well quadratic nature. Avoiding to convert the into its crisp, closed interval approximation for is incorporated. The suggested method leads a noncrossing optimal sequence considered problem minimizes total elapsed under fuzziness. proposed approach helps decision maker search applicable solution related real-world problems time. A numerical example provided illustration of methodology.