Mathematical programming analysis of additive manufacturing process planning total cost evaluation model for multiple parts

Abstract

It has been established that an effective and efficient cost evaluation of advanced manufacturing techniques, to a large extent, enhances process planning. In other to achieve optimal advanced manufacturing process planning, a good estimation and evaluation of the process cost are required. In fact, an optimal total processing cost will help to achieve optimal process planning. This study analyzed an adapted advanced manufacturing process planning cost evaluation model, using a mathematical programming technique. The results of the analyses were discussed and represented with graphs, from where conclusions were drawn. The significant status of the different cost components in all the eight cases considered, concerning the achievement of the optimal total cost at the level of planning of the advanced manufacturing process, was revealed by the graphs. Specifically, it was observed that both the processing modules cost and the material handling cost are very significant in minimizing the additive manufacturing process planning total cost of multiple parts.