Home
Editorial Committee
Brief Instruction
Back Issues
Instruction to Authors
Submission on line
Contact Us
Chinese

  The journal resolutely  resists all academic misconduct, once found, the paper will be withdrawn immediately.

Title:Application of lean production in fine blanking workshop
Authors:  
Unit:  
KeyWords:  
ClassificationCode:TG386
year,vol(issue):pagenumber:2020,45(4):202-208
Abstract:

 In order to enhance the production management level of fine blanking industry in 

China,the application of lean production in fine blanking workshop was studied. After the investigation of fine blanking workshop, it was found that the factory currently had problems such as difficulty in continuous optimization of parameters, difficulty in adaptabiligy of production scheduling orders and difficulty in real-time data acquisition in production. A management model for lean production in the fine blanking workshop was put forward. Based on this model, a lean production management system in fine blanking workshop was developed by using Microsoft Visual Studio 2013 C# and Microsoft SQL Server 2014. Compared with traditional production management method, the results show that this system can optimize the production parameters and innovative technology of the process through database analysis according to the characteristics of fine blanking production and industry demand, and improve production capacity. After adopting intelligent production scheduling technology, the workshop can cope with the order changing caused by market fluctuations, reduce the intermediate inventory, effectively improve the production management efficiency, and assist in the sustainable development of the domestic fine blanking industry.
 
Funds:
国家科技重大专项(2019ZX04002030)
AuthorIntro:
李佳盈(1995-),女,硕士研究生 E-mail:lijiaying9099@163.com 通讯作者:彭群(1971-),男,硕士,研究员 E-mail:pengqun89@163.com
Reference:

 [1]涂光祺.精冲技术 [M].北京: 机械工业出版社, 2006.


Tu G Q. Fine Blanking Technology [M]. Beijing: China Machine Press,2006.

[2]梁文杰. 基于混合PSO多目标车间调度的精冲行业MES研究与实现[D].广州:广东工业大学,2017.

Liang W J. The Research and Implementation of MES Based on Hybrid PSO Multi-objective Job Shop Scheduling [D]. Guangzhou: Guangdong University of Technology, 2017.

[3]宁海涛. 基于精益生产的冲压车间生产线改善研究[D]. 北京:北京工业大学,2017. 

Ning H T. The Improve Research of Pressline Based on Lean Production [D]. Beijing: Beijing University of Technology, 2017

[4]冯登水. 精益生产在DM公司冲压生产线的应用[D].上海:华东理工大学,2011.

Feng D S. Application of Lean Production in Stamping Line DM Company Abstract [D]. Shanghai: East China University of Science and Technology, 2011.

[5]邓文科,邓才智,何蔚.冲压成型工艺在精益生产中的应用[J].内燃机与配件,2018,(24):97-99.

Deng W K,Deng C Z,He W. Application of stamping process in lean production [J]. Internal Combustion Engine & Parts,

2018,(24):97-99.

[6]Nguyen M N, Do N H. Re-engineering assembly line with lean techniques [J]. Procedia CIRP, 2016, 40: 590-595.

[7]汤医育. ZJ公司冲压生产管理流程优化[D].南京:南京理工大学,2011.

Tang Y Y. ZJ Corporation Ramming Production Management Flow Optimization [D]. Nanjing: Nanjing University of Science & Technology,2011.

[8]蔡廷军. 面向精益生产的QRRS冲压车间现场改善研究[D]. 哈尔滨:哈尔滨工业大学,2016.

Cai T J. Research on the On-site Improvement of QRRS Pressing and Cutting Workshop for Purpose of Lean Production [D]. Harbin: Harbin Institute of Technology, 2016.

[9]Ebner J, Young P, Geraghty J. Intelligent self-designing production control strategy: Dynamic allocation hybrid pull-type mechanism applicable to closed-loop supply chains[J]. Computers & Industrial Engineering, 2019, 135: 1127-1144.

[10]张波,张岩.基于SimEvents的智能排产验证仿真模型框架研究[J].机电工程技术,2019,48(2):42-45.

Zhang B,Zhang Y. A study on the model structure of Sim Events-based smart production scheduling verifying simulation [J]. Mechanical & Electrical Engineering Technology,2019,48(2):42-45.

[11]Andrés-López E, González-Requena I, Sanz-Lobera A. Lean service: Reassessment of lean manufacturing for service activities[J]. Procedia Engineering, 2015, 132: 23-30.

[12]王庆阳,高梦迪,李磊,等.冲压成形节能优化方法[J].锻压技术,2019,44(6):134-144.

Wang Q Y,Gao M D,Li L, et al. Energy-saving optimization method of stamping [J].Forging & Stamping Technology,2019,44(6):134-144.

[13]Lindskog E, Vallhagen J, Berglund J, et al. Improving lean design of production systems by visualization support[J]. Procedia Cirp, 2016, 41: 602-607.
Service:
This site has not yet opened Download Service】【Add Favorite
Copyright Forging & Stamping Technology.All rights reserved
 Sponsored by: Beijing Research Institute of Mechanical and Electrical Technology; Society for Technology of Plasticity, CMES
Tel: +86-010-62920652 +86-010-82415085     Fax:+86-010-62920652
Address: No.18 Xueqing Road, Beijing 100083, P. R. China
 E-mail: fst@263.net    dyjsgg@163.com