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Increasing the Production Productivity with Artificial Bee Colony Optimisation Method

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Book cover Advances in Manufacturing II (MANUFACTURING 2019)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

In this paper, the tool path length minimisation or reduction of tool path total time was considered. The main goal is optimisation of tool path length on the selected technological task, where is need to drill a large number of holes and Artificial Bee Colony (ABC) optimisation method was used. The results, (achieved by criteria of minimum tool path) leads to saving of the technological time and reducing the total costs of production. Proposed algorithm gives the sustainable results, and it is reliable for the use. The solution achieved by the ABC algorithm was implemented in the MATLAB program and for validation of its performance it was compared with Ant Colony Optimisation (ACO) algorithm, CAMConcept software and with the result achieved by manual programming. The drilling simulation was performed using the EMCO WinNC educational program for the Sinumerik 840D Mill control unit.

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Author information

Authors and Affiliations

  1. University Department of Professional Studies, University of Split, 21000, Split, Croatia

    Danijela Pezer

Authors
  1. Danijela Pezer
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Correspondence to Danijela Pezer .

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Editors and Affiliations

  1. Poznan University of Technology, Poznan, Poland

    Justyna Trojanowska

  2. Poznan University of Technology, Poznan, Poland

    Olaf Ciszak

  3. Mechanical Engineering Department, University of Minho, Braga, Portugal

    José Mendes Machado

  4. Sumy State University, Sumy, Ukraine

    Ivan Pavlenko

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Pezer, D. (2019). Increasing the Production Productivity with Artificial Bee Colony Optimisation Method. In: Trojanowska, J., Ciszak, O., Machado, J., Pavlenko, I. (eds) Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-18715-6_5

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  • DOI: https://doi.org/10.1007/978-3-030-18715-6_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-18714-9

  • Online ISBN: 978-3-030-18715-6

  • eBook Packages: EngineeringEngineering (R0)

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