Research on ECBOM modeling and energy consumption evaluation based on BOM multi-view transformation
Research on ECBOM modeling and energy consumption evaluation based on BOM multi-view transformation
复制标题
基于BOM多视图转换的ECBOM建模及能耗评估研究
DOI：
10.1007/s12652-018-1053-3
复制
发表时间：
2018-09
影响因子：
--
通讯作者：
Zuo Ying
中科院分区：
文献类型：
--
作者：
Xiang Feng;Huang Yuanyuan;Zhang Zhi;Jiang Guozhang;Zuo Ying
结合信息技术和绿色制造理论，首次提出了能耗物料清单（ECBOM）的概念。ECBOM将成为产品全生命周期绿色制造包括绿色设计、绿色工艺、绿色生产、绿色管理、绿色供应链、绿色回收、绿色维护和绿色技术的有效信息化辅助工具。首先定义了ECBOM，分析了其数据项的演化过程，然后提出了BOM多视图转换方法，将其转换为ECBOM。此外，设计了ECBOM的UML概念模型及其遍历算法，有效地搜索能耗评估数据。最后，以机床传动带机构为例，验证了该方法的有效性，表明了ECBOM对绿色制造的积极作用。
Combining information technology and green manufacturing theory, the concept of energy consumption bill of materials (ECBOM) are first proposed, which is similar to Manufacturing BOM (MBOM), Plan BOM (PBOM) or other extended BOM for different business scenarios. ECBOM will become an effective informatization aid for green manufacturing in product life cycle including green design, green process, green production, green management, green supply chain, green recycling, green maintenance and green technology. Firstly, this paper defines ECBOM and analyzes the evolution process of its data items, then proposes a BOM multi-view transformation method to convert them into ECBOM. In addition, UML conceptual model of ECBOM and its traversal algorithm are designed to efficiently search data for energy consumption evaluation. Finally, a case study of driving belt mechanism in machine tool is taken as to test the method proposed in this paper and indicates that ECBOM could have a positive impaction green manufacturing.
登录
查看更多内容
影响因子：
1.7
作者：
Feng Xiang;Yefa Hu;Yingrong Yu;Huachun Wu
通讯作者：
Feng Xiang;Yefa Hu;Yingrong Yu;Huachun Wu
DOI：
10.1088/1755-1315/86/1/012022
发表时间：
2017-10
期刊：
IOP Conference Series: Earth and Environmental Science
影响因子：
--
作者：
D. D. Li-D.;Y. Zhang
通讯作者：
D. D. Li-D.;Y. Zhang
影响因子：
12.3
作者：
Tao, Fei;Zuo, Ying;Zhang, Lin
通讯作者：
Zhang, Lin
DOI：
10.1016/j.procir.2017.11.052
发表时间：
2018
期刊：
Procedia CIRP
影响因子：
--
作者：
S. Ibbotson;S. Kara
通讯作者：
S. Ibbotson;S. Kara
DOI：
10.1016/j.cirpj.2015.09.004
发表时间：
2016
影响因子：
4.8
作者：
Mohamed Kashkoush;H. Elmaraghy
通讯作者：
Mohamed Kashkoush;H. Elmaraghy