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An Automated Warehouse Sorting System for Small Manufacturing Enterprise Applying Discrete Event Simulation  ( EI收录)  

文献类型:会议论文

英文题名:An Automated Warehouse Sorting System for Small Manufacturing Enterprise Applying Discrete Event Simulation

作者:Sun, Xue[1,2]; Wu, Chao-Chin[2]; Chen, Liang-Rui[3]

第一作者:孙雪;Sun, Xue

机构:[1] College of Urban Rail Transit and Logistics, Beijing Union University, Beijing, China; [2] Department of Computer Science and Information Engineering, National Changhua University of Education, Changhua, Taiwan; [3] Department of Electrical Engineering, National Changhua University of Education, Changhua, Taiwan

第一机构:北京联合大学城市轨道交通与物流学院

会议论文集:Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

会议日期:May 25, 2018 - May 27, 2018

会议地点:Xi'an, China

语种:英文

外文关键词:Automation - Enterprise resource planning - Information management - Manufacture - Warehouses

摘要:In smart factory, automatic processing mode with high-tech content has become the main method of the modern sorting system. In small manufacturing enterprises, most of the warehouse sorting system is not done with automation but by manual labor. However, along with the increase in demand for products and the expansion of production scale, an automated warehouse sorting system is necessary. Automated sorting system is a typical discrete logistics system. Applying modern logistics simulation technology can help to analyze and evaluate the actual systems. In this paper, we take a small scale bag manufacturing enterprise for example, to design an automated sorting system in the warehouse. Applying discrete event simulation, model and simulate the system with the Automod as one of the most popular logistics simulation tools. Through conducting the experiments and analyzing the experimental results, verify the feasibility of our design and put forward the improvement of the system. The proposed method can provide the references for other small manufacturing enterprises and help business managers to make decisions. ? 2018 IEEE.

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