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智慧仓储技术分析与展望 被引量:5

Analysis and Outlook of Smart Warehousing Technology
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摘要 在全球产能过剩和电子商务高速发展的背景下,柔性化的智慧物流系统可以有效应对订单碎片化所带来的成本增加和效率降低的挑战。对仓库内收货、存储、拣选、发货四个基本环节中现有智慧物流技术进行分类汇总。在此基础上,提出智慧仓储技术发展有两个显著特点:基于人工智能算法和自动感知识别技术机器人的快速融入以及人机间的友好高效协作。 In this paper, we summarized and classified the smart warehousing technologies in use in the reception, storage, sorting and shipment, i.e., the four basic processes, in a warehouse, and then on such basis, pointed out the two prominent characteristics in the development of such technologies, namely based on artificial intelligent algorithm and automatic sensing technologies, as well as the rapid integration of robot and the friendly and efficient collaboration between human and machine.
作者 李明 陈宁宁 王海韵 吴耀华 Li Ming Chen Ningning Wang Haiyun Wu Yaohua(School of Information & Electrical Engineering, Shandong Jianzhu University, Ji'nan 250101 School of Economics, Ji'nan University, Ji'nan 250022 Business School, Qilu Institute of Technology, Ji'nan 250200 Modem Logistics Research Center, Shandong University, Ji'nan 250061, China)
出处 《物流技术》 2017年第9期157-159,184,共4页 Logistics Technology
基金 山东建筑大学博士基金项目(XNBS1633) 中国物流学会 中国物流与采购联合会课题计划(2017CSLKT3-140)
关键词 机器人 智慧仓库 人机协作 人工智能 robot smart warehouse human-machine collaboration artificial intelligent
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