首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Model for cost estimation in a finite-capacity stochastic environment based on shop floor optimization combined with simulation
Authors:Mark Eklin  Yohanan Arzi  Avraham Shtub
Institution:1. Faculty of Industrial Engineering and Management, Technion – Israel Institute of Technology, Technion City, Haifa 32000, Israel;2. Department of Industrial Engineering and Management, ORT Braude College, P.O. Box 78, Karmiel 21982, Israel;3. Faculty of Industrial Engineering & Management, Technion – Israel Institute of Technology, Haifa 32000, Israel
Abstract:In recent years several researchers suggested cost estimation models that consider limited capacity. These researchers ignored the stochastic nature of the shop floor. This paper presents a cost estimation model that takes into account the stochastic environment. It is based on marginal analysis – the difference between the total cost without the new order and the total cost with the new order. The proposed model is based on the integration of simulation and optimization. Data generated by the simulation is inserted into the optimization procedure that finds good feasible solutions quickly. A significant advantage of the proposed stochastic cost estimation over an existing deterministic approach is shown. A computational study is performed to test different factors affecting the proposed model.
Keywords:Manufacturing  Optimization  Simulation  Cost estimation  Finite capacity
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号