Abstract:
Scheduling policy which depends on selection of dispatching rules is one of the reasons which affect FMS' productivity. Selection of a dispatching rule can only be based on one or two criteria such as processing time, due date, or system components at traditional methods such as mathematical programming, simulation, and heuristic algorithms. However, traditional methods have some weakness; the first one is about selection criteria based on only one dispatching rule or a few combination of the rules, the second one is related with not considering most of the manufacturing system information, and the last one is to deal with selection decision is not a dynamic structure. In this study, an analytical network process (ANP) model has been developed in order to eradicate these weaknesses. The model based on multiple criteria decision-making process. In addition, most of manufacturing system information have been employed, and it consists of a dynamic decision-making process. The proposed model has a comprehensive structure which consists of a company's manufacturing criteria and macro-strategies. Although interdependence is accepted among criteria in ANP, non-interaction is assumed among them (i.e., additive measure). Because of existence of interactivities among criteria, a choquet integral has been adapted in an ANP model.
