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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Comparative Analysis of Subcontracting Scheduling Methods
verfasst von : Konstantin Aksyonov, Anna Antonova, Eugene Sysoletin
Erschienen in: Progress in Computing, Analytics and Networking
Verlag: Springer Singapore
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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 optimization developed by the authors based on the Kureichik method. As a result of the comparative analysis, the advantages of the method of multiagent genetic optimization in terms of solving the problem of subcontracting scheduling have been revealed. The multiagent genetic optimization method takes into account the nonrenewable resources, allows implementing different resource allocation strategies using simulation and multiagent modeling, and allows optimizing subcontract resources via analysis of alternative work schedules using genetic algorithms and simulation.