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Production Scheduling with Quantitative and Qualitative Selection of Human Resources

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Trends and Advances in Information Systems and Technologies (WorldCIST'18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 747))

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Abstract

The paper presents a method of quantitative and qualitative selection of human resources in production planning based on assumed load of the production system. Human resources are treated as additional resources. Determining the required number of staff and their competences is implemented in three stages. First, the production schedule is determined with the assumption of unlimited availability of additional resources. The obtained solution is a point of reference for determining the minimum number of required resources and their competencies. In the second stage, the reference number of workers is sought. Depending on the way selected, in the last stage the process of merging or removing the competencies of individual workers is done for the optimisation of the number of workers and their individual competencies.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, Konarskiego 18A, 44-100, Gliwice, Poland

    Krzysztof Kalinowski & Barbara Balon

Authors
  1. Krzysztof Kalinowski
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  2. Barbara Balon
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Corresponding author

Correspondence to Krzysztof Kalinowski .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

  3. DSI/EEUM, Universidade do Minho, Guimarães, Portugal

    Luís Paulo Reis

  4. DIMES, Universita della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

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Kalinowski, K., Balon, B. (2018). Production Scheduling with Quantitative and Qualitative Selection of Human Resources. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 747. Springer, Cham. https://doi.org/10.1007/978-3-319-77700-9_25

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  • DOI: https://doi.org/10.1007/978-3-319-77700-9_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77699-6

  • Online ISBN: 978-3-319-77700-9

  • eBook Packages: EngineeringEngineering (R0)

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