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Material Supply Scheduling for a Mobile Robot with Supply Quantity Consideration—A GA-based Approach

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 429)

Abstract

Mobile robots have been used to transport materials in manufacturing and services. The cycle of material supply is dependent on not only processing rate but also the supply quantity. Due to the limit on carrying quantity of robot, the problem to determine the material supply quantity and material supply schedule without lack of materials for production or service processes becomes complicated. In this paper, the problem to schedule material supply and determine material supply quantity is formulated as a nonlinear program. A heuristic algorithm based on genetic algorithm is developed to solve the problem. The conducted numerical experiment shows the good performance of the proposed algorithm which can be implemented to solve large scale problem.

Keywords

  • Robot scheduling
  • Material supply scheduling
  • Genetic algorithm

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Correspondence to Ngoc Anh Dung Do .

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Nielsen, I., Do, N.A.D., Nielsen, P., Khosiawan, Y. (2016). Material Supply Scheduling for a Mobile Robot with Supply Quantity Consideration—A GA-based Approach. In: Borzemski, L., Grzech, A., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part I. Advances in Intelligent Systems and Computing, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-319-28555-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-28555-9_4

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