Flow shops are a common difficulty in scheduling in real-world applications. Most flow shop reports assume that the time it takes to complete each task on each machine is a precise measurement. However, in practice, it is difficult to accurately estimate the time it takes to complete each work because of the ambiguity of information and the variety of management scenarios. As a result, the conventional approaches, both deterministic and random, tend to be less successful in portraying the ambiguity or imprecision of language values. Unquantifiable data, poor data, incomplete data, and unreachable data are all examples of imprecision, according to Ribeiro's definition of it. Fuzzy set theory may be used as an alternate solution to this sort of processing time issue. This chapter focuses on fuzzy set theory, which was first developed by Zadeh.

flow shop , scheduling , approaches , environment