作者: Ali Çetin Suyabatmaz , F Tevhide Altekin , Güvenç Şahin , None
DOI: 10.1016/J.CIE.2014.01.004
关键词: RL circuit 、 Third-Party Logistics Provider 、 Outsourcing 、 Network planning and design 、 Industrial engineering 、 Reverse logistics 、 Adaptation (computer science) 、 Service provider 、 Engineering 、 Integer programming 、 Systems engineering
摘要: In this study, we consider a manufacturer that has strategically decided to outsource the company specific reverse logistics (RL) activities third-party (3PL) service provider. Given locations of collection centers and reprocessing facilities, RL network design 3PL involves finding number places test under supply uncertainty associated with quantity returns. Hybrid simulation-analytical modeling, which iteratively uses mixed integer programming models simulation, is suitable framework for handling uncertainties in stochastic problem. We present two hybrid modeling approaches 3PL. The first one an adaptation problem-specific approach proposed literature distribution second development generic based on recently novel solution methodology. instead exchanging parameters between analytical simulation model, interaction governed by reflecting impact obtained via objective function model. results from different scenario parameter settings are discussed.