18 s) are reported for the parallel identical and non-identical AM machine scheduling problems if optimum solution could not be verified. C Callable Librar圜PLEX Optimization Studio ODM Enterprise Data Server ODM Studio. The best solutions obtained within the time limit (i.e. IBM ILOG CPLEX Optimization Studio V12.3, Inc., Using the CPLEXR Callable Library and. The optimum solutions are reported for most problems. The domain of air navigation is rich in optimization problems. A comprehensive computational study was also conducted, and the results are presented. This paper presents detailed solutions for numerical examples. The models were coded in IBM ILOG CPLEX Optimization Studio (v12.8.0) and solved through the CPLEX solver. single machine, parallel identical machines, and parallel non-identical machines). The problem was handled by considering different machine configurations (i.e. Mixed-integer linear programming models allocate parts into jobs to be produced on AM machines to minimise makespan. This paper focuses on the scheduling problem of single and multiple AM machines and proposes mathematical models for optimisation. Although the cost structures for AM facilities have been sufficiently studied in the literature, no effort has been made to investigate the scheduling problem of AM machines with the aim of optimising processing time-related performance measures. In addition to AM's use in producing fully functional industrial components, it is also seen as a technology of the future that will enable civilisation in space. Additive manufacturing (AM), also known as 3D printing, is gaining enormous importance in the production of highly customised quality and lightweight products in low quantities.
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