In recent years several researchers suggested cost estimation models that consider the limited capacity of the shop. In these studies, the stochastic nature of the shop floor is modeled by a time-consuming simulation. This paper proposes five alternative rough-cut cost estimation methods that can replace the simulation. Three of five methods based on forced idle time prediction. The study compares the cost estimations derived from these methods. A cost estimation method, based on the forced idle time of the bottleneck workstation, was found to be outperform the others. As the best method, the bottleneck-based method was compared to the actual order’s cost and was found as a replacement to simulation.
A Rough-Cut Cost Estimation in a Finite-Capacity Stochastic Environment Based on Forced Idle Time Prediction
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Eklin, M, Arzi, Y, & Shtub, A. "A Rough-Cut Cost Estimation in a Finite-Capacity Stochastic Environment Based on Forced Idle Time Prediction." Proceedings of the ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. Volume 1: Advanced Energy Systems; Advanced and Digital Manufacturing; Advanced Materials; Aerospace. Haifa, Israel. July 7–9, 2008. pp. 135-143. ASME. https://doi.org/10.1115/ESDA2008-59042
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