Abstract
Confronted with the complexity of manufacturing environment, manufacture system, and manufacturing process, how to abase this complexity is an important problem to realize production scheduling and control effectively. Thereinto, CAPP and PPC are two main modules involved in production activities. Firstly, the existing approaches of CAPP/PPC integration are analyzed. Then, a conceptual model for concurrent distributed integration of CAPP and PPC is presented. The model can achieve the integration of CAPP and PPC and solve the production planning and control in a virtual enterprise. According to the conceptual model of the functional integration of CAPP/PPC, a method to realize the functional integration of CAPP/PPC is discussed. And then, according to the requirements of single piece and small batch production, MES scheduling optimization can be realized based on CAPP/PPC Integration. The structure of the scheduling sub-system of MES is also presented that is consisted of three core modules, namely operation planning, operation scheduling, and material tracing module. Finally, based on Witness, a simulation model of a specific workshop is established. Through the comparison of scheduling schemes, the optimal MES scheduling scheme is obtained.
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© 2009 Springer-Verlag Berlin Heidelberg
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Cao, Y., Liu, N., Yang, L., Yang, Y. (2009). MES Scheduling Optimization and Simulation Based on CAPP/PPC Integration. In: Wang, H., Shen, Y., Huang, T., Zeng, Z. (eds) The Sixth International Symposium on Neural Networks (ISNN 2009). Advances in Intelligent and Soft Computing, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01216-7_65
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DOI: https://doi.org/10.1007/978-3-642-01216-7_65
Publisher Name: Springer, Berlin, Heidelberg
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