Research on Jobshop Scheduling Problem with Energy Consumption

Abstract:

Discrete machine manufacture enterprises have to induce new low-carbon manufacturing model in order to solve a dilemma of mutual restraint between development and electric energy consumption. The paper presents an approach to solve JSP with the objective of minimizing the energy consumption by shortening the distance between electricity peak and valley according to theory of load shifting in electricity. The mathematical model is proposed for JSP with objective of minimizing the energy consumption and processing time of entire batch, then the idea of time division is introduced, and a solving method based on GA built-in eM-Plant is employed to verify the model and get satisfactory scheduling results.Discrete machine manufacture enterprises have to induce new low-carbon manufacturing model in order to solve a dilemma of mutual restraint between development and electric energy consumption. The paper presents an approach to solve JSP with the objective of minimizing the energy consumption by shortening the distance between electricity peak and valley according to theory of load shifting in electricity. The mathematical model is proposed for JSP with objective of minimizing the energy consumption and processing time of entire batch, then the idea of time division is introduced, and a solving method based on GA built-in eM-Plant is employed to verify the model and get satisfactory scheduling results.

• Periodical: Advanced Materials Research (Volumes 314-316)
• Pages: 2071-2075
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.314-316.2071
• Online since: August 2011
• Authors: Jia Hai Wang, Wen Tao Gong
• Keywords: EM-Plant, Energy Consumption (EC), GA, JSP, Load Shifting, Time Division

References

[1] Compilation of Statistics of China's50 Years Industrial Energy and Transportation Statistics. The Statistic Year Book of China, 2000.

[2] Changming Yang, Lu Feng, in: The Railway Engineering Enterprise Management (2010).

[3] Jiayong Deng, in: Energy Saving of Non-Ferrous Metallurgy, 1997.2, pp.16-17.

[4] Zengling Li, Zoufeng Xing, Xuxiao Hong and Gaozheng: Dynamic Scheduling of Multi-task for Hybrid Flow-shop Based on Energy Consumption.2009 IEEE International Conference on Information and Automation.2009.6, pp.478-482.

DOI: 10.1109/icinfa.2009.5204971

[5] Huajun Cao, Xucai Tao, Fei Liu in: Mechanical Science and Technology.2010.6, pp.744-748.

[6] Wanliang Wang, Qidi Wu: Production scheduling and application of intelligent algorithms. Science Press, 2007.