Using Fuzzy Multi-Criteria Assessment Method (Fuzzy AHP) in the Best Sequence Selection in a Single Machine Shop

One of the main steps in production planning is the operation sequencing. The operation sequencing is assessed by a series of efficiency indexes such as jobs completion average time, jobs maximum tardiness and jobs average tardiness. In order to accomplish these efficiency indexes, some heuristic rules or algorithms like Shortest Order Time are offered so that each rule minimizes some indexes. For instance, Shortest Order Time (SOT)minimizes the jobs fulfillment average time index and jobs maximum tardiness index is minimized by the Earliest Delivery Date rule (EDD). The fuzzy analytic hierarchy process selects the best jobs sequence from the existing sequences by considering the concurrent effects of all efficiency indexes and scores comparison. In the present paper, the efficiency indexes in operation sequencing selection and a brief description of the fuzzy analytic hierarchy process method and its manipulation are introduced. Then by considering the effect of all the efficiency indexes, the best sequence in a single machine shop is found among the existing sequences.