Monte Carlo Simulation: Remanufacturing or not-A Newsvendor perspective

被引:0
作者
Diaz, Rafael [1 ]
Tulpule, Mandar [1 ]
Longo, Francesco [2 ]
Cimino, Antonio [2 ]
机构
[1] Old Dominium Univ, Virginia Modeling Anal & Simulat Ctr, Norfolk, VA 23529 USA
[2] Univ Calabria, Dept Mech, MSC LES, I-87030 Arcavacata Di Rende, Italy
来源
9TH INTERNATIONAL CONFERENCE ON MODELING & APPLIED SIMULATION | 2010年
关键词
RANDOM YIELD; SUPPLY CHAIN; INVENTORY POLICIES; DEMAND; MODEL;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The concept of random yields or uncertain supply is not new in inventory management. While this aspect has been extensively studied in the literature over several decades, the factors impacting uncertain supply have been largely been limited to quality defects, uncertain capacity and sourcing issues. The concept of random yields is very much applicable to the reverse logistics and remanufacturing activities that has received increased attention in recent years. The purpose of this paper is to demonstrate the modeling of the newsvendor problem with uncertain supply via spreadsheet based simulation as a managerial tool for optimizing the performance of a remanufacturing operation.
引用
收藏
页码:11 / 16
页数:6
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