TY - JOUR
T1 - The ‘Internet of Things’ enabled real-time scheduling for remanufacturing of automobile engines
AU - Zhang, Yingfeng
AU - Liu, Sichao
AU - Liu, Yang
AU - Yang, Haidong
AU - Li, Miao
AU - Huisingh, Donald
AU - Wang, Lihui
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/6/1
Y1 - 2018/6/1
N2 - Typical challenges that managers of remanufacturing face are composed of the lack of timely, accurate, and consistent information of remanufacturing resources. Therefore, it is difficult to implement real-time production scheduling for the shop floor. To address this problem, the authors applied the concept of the ‘Internet of Things’ to the remanufacturing of automobile engines to form an Internet of Manufacturing Things environment. Under the Internet of Manufacturing Things, an identification technology for disassembled engine parts was designed, and the real-time status of the remanufacturable resources can be monitored. Based on the captured remanufacturing information, a real-time production scheduling method was developed, and a mathematical model was developed to achieve cost reduction, dynamic management of remanufacturable resources, and energy consumption decrease. To obtain an optimal solution, a Pareto-based optimization method was used. Finally, a case study was performed to analyze the effectivity of the proposed method. The results showed that the remanufacturing cost and energy consumption were reduced by 34% and 34% respectively, and the worker load rate was more balanced. These improvements can contribute to more sustainable development and greener production within the remanufacturing industry, especially for remanufacturing of automobile engines.
AB - Typical challenges that managers of remanufacturing face are composed of the lack of timely, accurate, and consistent information of remanufacturing resources. Therefore, it is difficult to implement real-time production scheduling for the shop floor. To address this problem, the authors applied the concept of the ‘Internet of Things’ to the remanufacturing of automobile engines to form an Internet of Manufacturing Things environment. Under the Internet of Manufacturing Things, an identification technology for disassembled engine parts was designed, and the real-time status of the remanufacturable resources can be monitored. Based on the captured remanufacturing information, a real-time production scheduling method was developed, and a mathematical model was developed to achieve cost reduction, dynamic management of remanufacturable resources, and energy consumption decrease. To obtain an optimal solution, a Pareto-based optimization method was used. Finally, a case study was performed to analyze the effectivity of the proposed method. The results showed that the remanufacturing cost and energy consumption were reduced by 34% and 34% respectively, and the worker load rate was more balanced. These improvements can contribute to more sustainable development and greener production within the remanufacturing industry, especially for remanufacturing of automobile engines.
KW - Internet of Things
KW - Production optimization
KW - Real-time scheduling
KW - Remanufacturing
UR - http://www.scopus.com/inward/record.url?scp=85044869744&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2018.02.061
DO - 10.1016/j.jclepro.2018.02.061
M3 - 文章
AN - SCOPUS:85044869744
SN - 0959-6526
VL - 185
SP - 562
EP - 575
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -