This paper presents a parametric cost model for estimating the raw material cost of components realized employing the investment casting process. The model is built using sensitivity analysis and regression methods on data generated by an analytic cost model previously developed and validated by the same authors. This is the first attempt of developing a parametric cost model for investment casting based on activity-based costing. The proposed cost model accounts component volume, material density and material price. The error in estimating the raw material cost for components whose volume is within the common range of investment casting is around 11%.

Mandolini, M., Campi, F., Favi, C., Cicconi, P., Germani, M., Raffaeli, R. (2021). Parametric Cost Modelling for Investment Casting. In Lecture Notes in Mechanical Engineering (pp. 386-392). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-70566-4_61].

Parametric Cost Modelling for Investment Casting

Cicconi P.;
2021-01-01

Abstract

This paper presents a parametric cost model for estimating the raw material cost of components realized employing the investment casting process. The model is built using sensitivity analysis and regression methods on data generated by an analytic cost model previously developed and validated by the same authors. This is the first attempt of developing a parametric cost model for investment casting based on activity-based costing. The proposed cost model accounts component volume, material density and material price. The error in estimating the raw material cost for components whose volume is within the common range of investment casting is around 11%.
978-3-030-70565-7
Mandolini, M., Campi, F., Favi, C., Cicconi, P., Germani, M., Raffaeli, R. (2021). Parametric Cost Modelling for Investment Casting. In Lecture Notes in Mechanical Engineering (pp. 386-392). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-70566-4_61].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/402197
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