Multiobjective Optimisation of Job Shop Scheduling of Renewable Powered Machinery

In this paper a multiobjective job shop scheduling (JSS) problem formulation is presented in which the machinery load is fully or partially supplied by renewable resources. The makespan and the unmet load are used as the optimisation objectives. An NSGA-II is used for finding Pareto solutions. The algorithm is integrated in the software MOHRES, which evaluates the performance of the renewable system. Through a case study, the performance of the algorithm is evaluated, and it is shown how the algorithm can successfully find Pareto solutions with minimal makespan and unmet load.