A Kind of Lean Approach for Removing Wastes From Non-Manufacturing Process With Various Facilities

Guangyu Xiong; Xiuqin Shang; Gang Xiong; Timo R. Nyberg

doi:10.1109/JAS.2019.1911351

Volume 6 Issue 1

Jan. 2019

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2019 > 6(1): 307-315

Guangyu Xiong, Xiuqin Shang, Gang Xiong and Timo R. Nyberg, "A Kind of Lean Approach for Removing Wastes From Non-Manufacturing Process With Various Facilities," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 307-315, Jan. 2019. doi: 10.1109/JAS.2019.1911351

Citation:

Guangyu Xiong, Xiuqin Shang, Gang Xiong and Timo R. Nyberg, "A Kind of Lean Approach for Removing Wastes From Non-Manufacturing Process With Various Facilities," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 307-315, Jan. 2019. doi: 10.1109/JAS.2019.1911351

Citation:

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A Kind of Lean Approach for Removing Wastes From Non-Manufacturing Process With Various Facilities

doi: 10.1109/JAS.2019.1911351

Guangyu Xiong^{1, 2
,},
Xiuqin Shang^{3, 4
,},
Gang Xiong^{5, 6
,
,},
Timo R. Nyberg^7
,

1.
Silk Road Business School, Sanya University, Hainan 572022, China
2.
Department of Industrial Engineering and Management, School of Science, Aalto University, P. O. Box 11000, Aalto FI-00076, Finland
3.
State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences (CAS), Beijing 100190
4.
Qingdao Academy of Intelligent Industries, Qingdao 266109, China
5.
Cloud Computing Center, CAS, Dongguan 52808
6.
Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, CAS, Beijing 100190, China
7.
School of Science at Aalto University, Aalto, Finland

Funds:

the National Natural Science Foundation of China 61773381

the National Natural Science Foundation of China 61773382

the National Natural Science Foundation of China 61533019

the National Natural Science Foundation of China 91520301

Finnish TEKES's Project "SoMa2020:Social Manufacturing" 211560

Chinese Guangdong's S & T Project 2015B010103001

Chinese Guangdong's S & T Project 2016B090910001

Chinese Guangdong's S & T Project Gang Xiong 2017B090912001

More Information

Author Bio:
Guangyu Xiong received the Dr. (Tech) degree in industrial management from University of Vaasa, Finland, in 2006 and the M.Sc (Tech) degree in electric engineering in Xi'an University of Technology and Science, China, in 1990.
From 2000-2006, she was the research follow at Tampere university and University of Vaasa, Finland. From 2006-2007, she was working as a scientist for CRC (Cooperated Research Center), ABB, Finland. From 2007 to 2013, she was working as operations specialist in Operational Development Group, European center, Finland. After then, she has been working as a Senior Consultant and Quality & OpX (operational excellence) manager in Internal Consultant Group, North Asia, ABB, China.
Her main research areas include OpX improvement in enterprise, which covers both office and production processes through entire value chain. She is good at Lean/TPS, theory of constrains (TOC) both in implementation and training/coaching. She is focusing on lean management, supply chain management/value chain management. She is extending her subject on certain innovation areas, such as lean cleaner production, lean energy efficiency. In these areas, she has done numbers of improvement projects for industrial and research projects, and published about 40 articles in a number of conferences and international journals. (email: xiongguangyu@hotmail.com)

Xiuqin Shang received the B.Eng. degree in automation from China University of Petroleum, China, in 2005, and the Ph.D. degree in control theory and control engineering from Zhejiang University, China, in 2010. Since 2011, she has been an Assistant Research Scientist in the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, China. Her research interests include social manufacturing, industrial process control, datadriven modeling, and parallel management and control. (email: xiuqin.shang@ia.ac.cn)

Gang Xiong (M'00-SM'02) received the B. Eng. and the M. Eng. degrees from the Department of Precision Instrument, Xi'an University of Science and Technology, China, in 1991 and 1994, respectively, and the Ph.D. degree in control science and engineering from Shanghai Jiao Tong University, China, in 1996. From 1996 to 1998, he was a Postdoctor and Associate Scientist with the Institute of Industrial Process Control, Zhejiang University. From 1998 to 2001, he was a Senior Research Fellow with the Automation and Control Institute, Tampere University of Technology, Tampere, Finland. From 2001 to 2007, he was a Specialist and Project Manager with Nokia Corporation, Finland. In 2007, he was a Senior Consultant and Team Leader with Accenture and Chevron, USA. In 2008, he was the Deputy Director of the Informatization Office, Chinese Academy of Science (CAS), China. In 2009, he started his present position as a Research Scientist with the State Key Laboratory of Management and Control for Complex Systems, Beijing Engineering Research Center for Intelligent Systems and Technology, Institute of Automation, CAS. In 2011, he became Deputy Director of Beijing Engineering Research Center for Intelligent Systems and Technology, and Deputy Director of Cloud Computing Center, CAS. He is General Chair of IEEE SOLI 2011, 2012 and 2013. He has successfully finished more than 40 academic or technical projects funded by Chinese NSFC/MOST/MⅡT, Finnish TEKES, Academy of Finland, CAS, SINOPEC, Guangdong S&T etc. He is the author or co-author of about 300 refereed journal and conference proceeding papers, including 20 SCI papers, and 180 EI papers. He is editor or co-editor of 2 academic books, the author of 10 chapters. He is author or co-author of about 40 Chinese Patents or PCT, 50 Chinese software copyrights. He received 5 awards from IEEE or Government. His research interests include parallel control and management, modeling and optimization of complex systems, cloud computing and big data, intelligent manufacturing, and intelligent transportation systems. (email: gang.xiong@ia.ac.cn)

Timo R. Nyberg received the M.Sc. (Tech) degrees in Mechanical Engineering from Helsinki University of Technology, Finland, in 1988, and the Dr. (Tech) degrees in Automation from Helsinki University of Technology, Finland, in 1993.
From 1996 to 2002, he was Professor of Automation and Director of Graduate School, Tampere University of Technology, Finland. From 2001 to 2002, he was Senior Vice President, Novo Astra Oy, Finland. From 2002 to 2005, he was Laboratory Director and Management Board member, Helsinki University of Applied Sciences, Finland. Since 2010, he has worked as a Senior Research Fellow and Research Director of School of Science at Aalto University, Finland. Since 2012, he has also been a Visiting Professor of Cloud Computing Center, CAS, China.
His research covers enterprise automation systems, business strategies in software, Intelligent Wearable Device and Social Manufacturing. He has finished more than 30 research projects funded by Finnish TEKES, Academy of Finland, EU, and Finnish companies. He is the author or co-author of about 100 refereed journal and conference proceeding papers, and 35 EU/American/Finnish patents. He has experience from both the academic world and industries (Metso, Logica, and Nokia). He has over 15 years of experience from R&D cooperation with Chinese and American companies and universities (Tsinghua Univ., Tongji Univ., MIT, and Stanford Univ.). He has been the board member in Finland & China Trade association. (email: timo.nyberg@aalto.fi)
Corresponding author: Gang Xiong, e-mail: gang.xiong@ia.ac.cn
Received Date: 2018-04-09
Accepted Date: 2018-05-21

Abstract

Abstract

It is important to identify and remove the wastes not only from manufacturing process, but also from nonmanufacturing process. In the last several decades, significant research achievements and practice benefits have been achieved about removing wastes from manufacturing process. Since the 1990s, some researchers and lean practitioners have paid more attention to removing waste from non-manufacturing process. Based on the authors' research work and industrial practice, the paper introduces a kind of lean approach for removing waste from non-manufacturing process. In its case study, the order handling process in a value chain is described with respect to a factory and its downstream distribution centers (DCs). The paper proposes a lean approach solution for creating the improved order handling process, and analyze how great improvements in performance can be achieved. As a result, the significant achievement has created a win-win scenario for both the nonmanufacturing process in a factory and non-manufacturing facilities (like DCs) across the value chain. It demonstrates that improvements have been made by removing waste from the non-manufacturing process that takes place within a factory as well as with external participants through the whole value chain. Likewise, the proposed lean approach has helped the case companies to achieve greater levels of efficiency and more benefits. Finally, some conclusions are drawn.
- Lean approach,
- non-manufacturing process,
- optimized order handling process,
- removing wastes,
- value chain,
- win-win scenario

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References(36)

References

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A Kind of Lean Approach for Removing Wastes From Non-Manufacturing Process With Various Facilities

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