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A Rough-Cut Cost Estimation in a Finite-Capacity Stochastic Environment Based on Forced Idle Time Prediction

[+] Author Affiliations
Mark Eklin, Avraham Shtub

Technion-Israel Institute of Technology, Haifa, Israel

Yohanan Arzi

ORT Braude College, Karmiel, Israel

Paper No. ESDA2008-59042, pp. 135-143; 9 pages
doi:10.1115/ESDA2008-59042
From:
  • 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
  • Conference Sponsors: International
  • ISBN: 978-0-7918-4835-7 | eISBN: 0-7918-3827-7
  • Copyright © 2008 by ASME

abstract

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.

Copyright © 2008 by ASME

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