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 an optimal advanced manufacturing process planning, a good estimation and evaluation of the process cost is required. In fact, an optimal total processing cost will help to achieve an optimal process planning. This study analyzed an adapted advanced manufacturing process planning cost evaluation models, using 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 costs components in all the eight cases considered, concerning achievement of optimal total cost at the level of planning of the advanced manufacturing process, were 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.