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爱学习治不了金虫 (小有名气)
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紧急求助，求文章EI和SCI检索号，尽量上午之前，谢谢！
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求文章的EI和SCI检索号：A Tabu Search Algorithm for Item Assignment in Synchronized Zone Automated Order Picking System 谢谢 |
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sunshan4379
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爱学习治不了: 金币+5, ★★★★★最佳答案 2014-08-21 10:34:17
jssxh: 金币+5, 检索EPI+1, 谢谢参与，请继续关注本版块！ 2014-08-21 21:21:30
爱学习治不了: 金币+5, ★★★★★最佳答案 2014-08-21 10:34:17
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Taboo Search Algorithm for Item Assignment in Synchronized Zone Automated Order Picking System 作者:Wu, YY (Wu Yingying)[ 1 ] ; Wu, YH (Wu Yaohua)[ 1 ] CHINESE JOURNAL OF MECHANICAL ENGINEERING 卷: 27 期: 4 页: 860-866 DOI: 10.3901/CJME.2014.0430.084 出版年: JUL 2014 查看期刊信息 摘要 The idle time which is part of the order fulfillment time is decided by the number of items in the zone; therefore the item assignment method affects the picking efficiency. Whereas previous studies only focus on the balance of number of kinds of items between different zones but not the number of items and the idle time in each zone. In this paper, an idle factor is proposed to measure the idle time exactly. The idle factor is proven to obey the same vary trend with the idle time, so the object of this problem can be simplified from minimizing idle time to minimizing idle factor. Based on this, the model of item assignment problem in synchronized zone automated order picking system is built. The model is a form of relaxation of parallel machine scheduling problem which had been proven to be NP-complete. To solve the model, a taboo search algorithm is proposed. The main idea of the algorithm is minimizing the greatest idle factor of zones with the 2-exchange algorithm. Finally, the simulation which applies the data collected from a tobacco distribution center is conducted to evaluate the performance of the algorithm. The result verifies the model and shows the algorithm can do a steady work to reduce idle time and the idle time can be reduced by 45.63% on average. This research proposed an approach to measure the idle time in synchronized zone automated order picking system. The approach can improve the picking efficiency significantly and can be seen as theoretical basis when optimizing the synchronized automated order picking systems. 关键词 作者关键词:taboo search algorithm; synchronized zone; order picking; idle time; idle factor KeyWords Plus:LOCATION ASSIGNMENT; STORAGE; TIMES 作者信息 通讯作者地址: Wu, YY (通讯作者) 显示增强组织信息的名称 Shandong Univ, Sch Control Sci & Engn, Jinan 250001, Peoples R China. 地址: 显示增强组织信息的名称 [ 1 ] Shandong Univ, Sch Control Sci & Engn, Jinan 250001, Peoples R China 电子邮件地址:sophia.wu@sdu.edu.cn 基金资助致谢 基金资助机构 授权号 Independent Innovation Foundation of Shandong University of China 2013GN007 查看基金资助信息 出版商 EDITORIAL OFFICE CHINESE JOURNAL MECHANICAL ENGINEERING, 22 BAIWANZHUANG DAJIE, BEIJING, 100037, PEOPLES R CHINA 类别 / 分类 研究方向:Engineering Web of Science 类别:Engineering, Mechanical 文献信息 文献类型:Article 语种:English 入藏号: WOS:000338483000025 ISSN: 1000-9345 电子 ISSN: 2192-8258 期刊信息 Impact Factor (影响因子): Journal Citation Reports® 其他信息 IDS 号: AK5RE Web of Science 核心合集中的 "引用的参考文献": 15 Web of Science 核心合集中的 "被引频次": 0 |
3楼2014-08-21 10:15:12
sunshan4379
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Accession number: 20143118006256 Title: Taboo search algorithm for item assignment in synchronized zone automated order picking system Authors: Wu, Yingying1 Email author sophia.wu@sdu.edu.cn; Wu, Yaohua1 Email author wu@sdu.edu.cn Author affiliation: 1 School of Control Science and Engineering, Shandong University, Jinan 250001, China Corresponding author: Wu, Y. (sophia.wu@sdu.edu.cn) Source title: Chinese Journal of Mechanical Engineering (English Edition) Abbreviated source title: Chin J Mech Eng Engl Ed Volume: 27 Issue: 4 Issue date: July 2014 Publication year: 2014 Pages: 860-866 Language: English ISSN: 10009345 CODEN: CJMEER Document type: Journal article (JA) Publisher: Chinese Mechanical Engineering Society Abstract: The idle time which is part of the order fulfillment time is decided by the number of items in the zone; therefore the item assignment method affects the picking efficiency. Whereas previous studies only focus on the balance of number of kinds of items between different zones but not the number of items and the idle time in each zone. In this paper, an idle factor is proposed to measure the idle time exactly. The idle factor is proven to obey the same vary trend with the idle time, so the object of this problem can be simplified from minimizing idle time to minimizing idle factor. Based on this, the model of item assignment problem in synchronized zone automated order picking system is built. The model is a form of relaxation of parallel machine scheduling problem which had been proven to be NP-complete. To solve the model, a taboo search algorithm is proposed. The main idea of the algorithm is minimizing the greatest idle factor of zones with the 2-exchange algorithm. Finally, the simulation which applies the data collected from a tobacco distribution center is conducted to evaluate the performance of the algorithm. The result verifies the model and shows the algorithm can do a steady work to reduce idle time and the idle time can be reduced by 45.63% on average. This research proposed an approach to measure the idle time in synchronized zone automated order picking system. The approach can improve the picking efficiency significantly and can be seen as theoretical basis when optimizing the synchronized automated order picking systems. © Chinese Mechanical Engineering Society and Springer-Verlag Berlin Heidelberg 2014. Number of references: 15 Main heading: Warehouses Controlled terms: Automation - Combinatorial optimization - Learning algorithms - Synchronization - Tabu search Uncontrolled terms: Assignment problems - Idle factor - Idle time - Order picking - Order-picking systems - Parallel machine-scheduling problems - Taboo search algorithm - Tobacco distribution Classification code: 402.1 Industrial and Agricultural Buildings - 723 Computer Software, Data Handling and Applications - 731 Automatic Control Principles and Applications - 732 Control Devices - 921.5 Optimization Techniques - 961 Systems Science DOI: 10.3901/CJME.2014.0430.084 Database: Compendex Compilation and indexing terms, © 2014 Elsevier Inc. |
2楼2014-08-21 10:13:49