Therblig-embedded value stream mapping method for lean energy machining

被引:59
作者
Jia, Shun [1 ]
Yuan, Qinghe [1 ]
Lv, Jingxiang [2 ]
Liu, Ying [3 ]
Ren, Dawei [1 ]
Zhang, Zhongwei [4 ]
机构
[1] Shandong Univ Sci & Technol, Dept Ind Engn, Qingdao 266590, Peoples R China
[2] Northwestern Polytech Univ, Key Lab Contemporary Design & Integrated Mfg Tech, Minist Educ, Xian 710072, Shaanxi, Peoples R China
[3] Univ Glasgow, Sch Engn, Glasgow G12 8QQ, Lanark, Scotland
[4] Henan Univ Technol, Dept Mech Mfg & Automat, Zhengzhou 450001, Henan, Peoples R China
关键词
Energy efficiency; Lean energy machining; Value-added; Non-valued added; Therblig-embedded value stream mapping; MINIMIZING POWER-CONSUMPTION; RESPONSE-SURFACE METHODOLOGY; CUTTING PARAMETERS; MULTIOBJECTIVE OPTIMIZATION; MANUFACTURING-INDUSTRY; SUS-VSM; EFFICIENCY; SIMULATION; SYSTEMS; TOOLS;
D O I
10.1016/j.energy.2017.07.120
中图分类号
O414.1 [热力学];
学科分类号
摘要
To improve energy efficiency, extensive studies have focused on the cutting parameters optimization in the machining process. Actually, non-cutting activities (NCA) occur frequently during machining and this is a promising way to save energy through optimizing NCA without changing the cutting parameters. However, it is difficult for the existing methods to accurately determine and reduce the energy wastes (EW) in NCA. To fill this gap, a novel Therblig-embedded Value Stream Mapping (TVSM) method is proposed to improve the energy transparency and clearly show and reduce the EW in NCA. The Future State-Map (FSM) of TVSM can be built by minimizing non-cutting activities and Therbligs. By implementing the FSM, time and energy efficiencies can be improved without decreasing the machining quality, which is consistent with the goal of lean energy machining. The method is validated by a machining case study, the results show that the total energy is reduced by 7.65%, and the time efficiency of the value-added activities is improved by 8.12%, and the energy efficiency of value-added activities and Therbligs are raised by 4.95% and 1.58%, respectively. This approach can be applied to reduce the EW of NCA, to support designers to design high energy efficiency machining processes during process planning. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1081 / 1098
页数:18
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