Using benchmarks to study an intelligent and multicriteria scheduling service

The implementation of new production organization methods become essential in the evolution of companies' context. These methods include scheduling. In this context, scheduling is generally multicriteria. To solve this problem, we need multicriteria optimization methods to search all optimal solutions and multicriteria decision making methods to choose the best compromise between potential solutions. The objective here, is to evaluate the performance of a multicriteria decision making method used, in real time, in the holonic, isoarchic and multicriteria model (named PROSIS (Product, Resource, Order, Simulation, Isoarchic System)) through academic benchmarks. After presenting the control based on an intelligent scheduling service and existing multicriteria scheduling methods, the choice of the `Analytic Hierarchy Process' (AHP) method is justified. After that, the implementation of the scheduling service in PROSIS is described. Finally, the benchmarks allowing to study the performance of the multicriteria scheduling are presented before analysing the results.