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Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety

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Machine Learning, Optimization, and Big Data (MOD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10710))

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Abstract

Worldwide, just under 5,800 people go to work every day and do not return because they die on the job. The groundbreaking Industry 4.0 paradigm includes innovative approaches to improve the safety in the workplace, but Small and Medium Enterprises (SMEs) – which represent 99% of the companies in the EU – are often unprepared to the high costs for safety. A cost-effective way to improve the level of safety in SMEs may be to just reassign employees to tasks, and assign hazardous tasks to the more cautious employees. This paper presents a multi-objective approach to reallocate the personnel of a company to the tasks in order to maximize the workplace safety, while minimizing the cost, and the time to learn the new tasks assigned. Pareto-optimal reallocations are first generated using the Non-dominated Sorting artificial Bee Colony (NSBC) algorithm, and the best one is then selected using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The approach was tested in two SMEs with 11 and 25 employees, respectively.

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Acknowledgments

This research was supported by the PRA 2016 project “Analysis of Sensory Data: from Traditional Sensors to Social Sensors”, funded by the University of Pisa.

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Authors and Affiliations

  1. Department of Information Engineering, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy

    Beatrice Lazzerini & Francesco Pistolesi

Authors
  1. Beatrice Lazzerini
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  2. Francesco Pistolesi
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Corresponding author

Correspondence to Francesco Pistolesi .

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Editors and Affiliations

  1. University of Catania, Catania, Italy

    Giuseppe Nicosia

  2. University of Florida, Gainesville, FL, USA

    Panos Pardalos

  3. University of Catania, Catania, Italy

    Giovanni Giuffrida

  4. Harvard University, Cambridge, MA, USA

    Renato Umeton

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Lazzerini, B., Pistolesi, F. (2018). Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety. In: Nicosia, G., Pardalos, P., Giuffrida, G., Umeton, R. (eds) Machine Learning, Optimization, and Big Data. MOD 2017. Lecture Notes in Computer Science(), vol 10710. Springer, Cham. https://doi.org/10.1007/978-3-319-72926-8_18

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  • DOI: https://doi.org/10.1007/978-3-319-72926-8_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72925-1

  • Online ISBN: 978-3-319-72926-8

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