The Service Center Simulation Model as a Part of a Reverse Logistics System

被引：0

作者：

Buyvol, Polina ^{[1
]}

Makarova, Irina ^{[1
]}

Sizikin, Vitaly ^{[2
]}

Badriev, Ayrat ^{[1
]}

机构：

[1] Kazan Fed Univ, Naberezhnye Chelny, Russia

[2] LLC TCC KAMA TRUCKS, Naberezhnye Chelny, Russia

来源：

2020 13TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2020) | 2020年

关键词：

automobile; branded service system; circular economy; reverse logistics; service station; simulation; OF-LIFE VEHICLES; LOOP SUPPLY CHAINS; NETWORK DESIGN; PRODUCT RECOVERY; OPTIMIZATION; COLLECTION; IMPACT;

D O I：

10.1109/DeSE51703.2020.9450789

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the era of growing consumption, the task of expanding the concept of reuse becomes urgent. It must be implemented within the framework of a reverse logistics system. The article analyzes mathematical models and methods for optimizing reverse supply chains. It was concluded that existing approaches are limited. A descriptive mathematical model of a proprietary reverse logistics network has been formulated. It takes into account the income from the sale of restored defective parts. We construct a simulation model of the service center, which is the primary element that forms the reverse logistic flow and is an intermediate storage warehouse. The novelty of the study lies in the establishment of the fact that the use of the Weibull distribution for vehicle failures is the most statistically significant for the considered area of operation.

引用

页码：105 / 110

页数：6

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