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An Ant Colony Optimization Model for Parallel Machine Scheduling with Human Resource Constraints

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Book cover Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 66))

Abstract

This model proposed an ant colony optimization model to tackle human resource constrained parallel machine scheduling problem with precedence constraints. In this model, four subsystems are designed to solve the problem, including input subsystem which conducts the problem and the ACO model related parameters and output subsystem which exports scheduling and analysis results, sequence searching subsystem which constructs feasible sequence for each ant, human resource scheduling and sequence evaluation subsystem which assigns human resource and determines the duration time of jobs under the allowable amount of operators. The model is demonstrated to be valid using an example case.

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Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China, 200240

    Zhu Qiong, Zhang Gong & Zhang Jie

  2. Class 6 Grade 3, Shanghai Nanyang Model High School,  

    Gu Yichao

  3. Department of Mechanical Electronic Engineering, Suzhou Vocational University, Suzhou, Jiangsu, China, 215104

    Chen Xuefang

Authors
  1. Zhu Qiong
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  2. Gu Yichao
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  3. Zhang Gong
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  4. Zhang Jie
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  5. Chen Xuefang
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Editor information

Editors and Affiliations

  1. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China

    George Q. Huang  & K. L. Mak  & 

  2. Dept. Mechanical Engineering, University of Bath, BA2 7AY, Bath, United Kingdom

    Paul G. Maropoulos

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© 2010 Springer-Verlag Berlin Heidelberg

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Qiong, Z., Yichao, G., Gong, Z., Jie, Z., Xuefang, C. (2010). An Ant Colony Optimization Model for Parallel Machine Scheduling with Human Resource Constraints. In: Huang, G.Q., Mak, K.L., Maropoulos, P.G. (eds) Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Advances in Intelligent and Soft Computing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10430-5_71

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  • DOI: https://doi.org/10.1007/978-3-642-10430-5_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10429-9

  • Online ISBN: 978-3-642-10430-5

  • eBook Packages: EngineeringEngineering (R0)

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