IMPROVING REMANUFACTURING SYSTEMS DECISIONS BY BAYESIAN APPROACH

被引:0
作者
Aksoy, H. Kivanc [1 ]
Gupta, Surendra M. [2 ]
机构
[1] Eskisehir Osmangazi Univ, Dept Stat, Eskisehir, Turkey
[2] Northeastern Univ, Dept Mech & Ind Engn, Boston, MA 02115 USA
来源
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE | 2018年 / 25卷 / 03期
关键词
Bayesian update; remanufacturing; reverse supply chain; queueing network; REVERSE LOGISTICS; PRODUCT RECOVERY; RETURNED PRODUCTS; SUPPLY CHAIN; MANAGEMENT; FRAMEWORK; ISSUES; COST;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Reverse supply chain comprises sequences of activities required to recover a post-consumed product from a customer to manufacturer. Remanufacturing of used products is one of the most desirable opportunities among the product recovery choices. We consider a hybrid system for a single remanufacturable product and model the hybrid system as an open queueing network (OQN) with a stochastic return of used products and demand. In the remanufacturing system's it is critical to coordinate the recovery operation, and disposal decisions of the inducted cores satisfy non-stationary demand. We utilize Bayesian approach in dealing with return and recovery rate uncertainties of the remanufacturing system. In Bayesian updating procedure, recently obtained data is pooled with the formerly existing data about the parameter that we interested. A numerical example is presented to show the effect of the parameter revising via Bayesian approach on the system's operational performance measures.
引用
收藏
页码:316 / 334
页数:19
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