Analysis of Subcontracting Scheduling Methods Based on Modeling

Abstract

This paper considers the following methods of the work scheduling: network planning techniques (critical path method, program evaluation and review technique, and graphical evaluation and review technique), method of agents cooperation in the needs-and-means networks proposed by Skobelev P.O., method of simulation and genetic algorithms integration proposed by Kureichik V.V., and method of multiagent genetic optimisation developed by the authors based on the Kureichik method. As a result of the comparative analysis, the advantages of the method of multiagent genetic optimisation in terms of solving the problem of subcontracting scheduling have been revealed. The multiagent genetic optimisation method takes into account the non-renewable resources, allows implementing different resource allocation strategies using simulation and multiagent modeling, and allows optimising subcontract resources via analysis of alternative work schedules using genetic algorithms and simulation.