6533b832fe1ef96bd129a183

RESEARCH PRODUCT

Optimization Model to Extend Existing Production Planning and Control Systems for the Use of Additive Manufacturing Technologies in the Industrial Production

Wjatscheslav BaumungVladislav V. FominVladislav V. Fomin

subject

0209 industrial biotechnologySequence planningProduction areaComputer scienceIndustrial production05 social sciencesScheduling (production processes)02 engineering and technologyIndustrial and Manufacturing EngineeringManufacturing engineering020901 industrial engineering & automationProduction planningArtificial IntelligenceControl system0502 economics and business050203 business & management

description

Abstract The use of additive manufacturing technologies for industrial production is constantly growing. This technology differs from the known production procedures. The areas of scheduling, detailed and sequence planning are particularly important for additive production due to the long print times and flexible use of the production area. Therefore, production-relevant variables are considered and used for the production planning and control (PPC) of additive manufacturing machines. For this purpose, an optimization model is presented which shows a time-oriented build space utilization. In the implementation, a nesting algorithm is used to check the combinability of different models for each individual print job.

yearjournalcountryeditionlanguage
2018-01-01Procedia Manufacturing
https://doi.org/10.1016/j.promfg.2018.06.035