Capacity planning in additive manufacturing

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Abstract

Additive manufacturing (AM) is a field on the rise with a quick evolution on market and on machines. If AM hold these promises, firms which take the risk today to invest will be recognized. The decision-maker must dispose of a methodology to define the optimal design strategy under uncertainty which considers the risk taken by the decision-maker and his confidence on the suppliers and on the future. This problem matches a capacity planning problem with uncertainties on demand, on resource development, on cost evolution and on technologic evolution. In this article, we propose, in a first approach, to solve a deterministic problem of capacity planning. First, we formalize a mixed integer program. The chosen objective function is the maximization of the net profit. A case of study is presented and solved thanks to a solver. © 2019 IFAC

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Antomarchi, A. L., Guillaume, R., Durieux, S., Thierry, C., & Duc, E. (2019). Capacity planning in additive manufacturing. IFAC-PapersOnLine, 52(13), 2556–2561. https://doi.org/10.1016/j.ifacol.2019.11.591

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