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Mixed-Model Sequencing Problem Improving Labour Conditions

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Part of the book series: Lecture Notes in Management and Industrial Engineering ((LNMIE))

Abstract

It is presented an extension of the mixed-model sequencing problem that considers some working conditions agreed between companies and trade unions. In particular, it is formulated a mathematical model with saturation limits which an operator can have throughout his workday and with the possibility of increasing the work pace of the operators at certain times of the workday. In this way, it is possible to improve labour conditions and line productivity simultaneously. In fact, the proposed model is evaluated by means of a computational experience that allows to observe that an increment of \(3.\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{3} \;\%\) on the work pace factor of processors reduces the work overload by 62.6 % while the saturation conditions imposed by collective agreements are satisfied.

This work is supported by the Spanish Ministerio de Economía y Competitividad under Project DPI2010-16759 (PROTHIUS-III) including EDRF fundings.

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Notes

  1. 1.

    Synchronised production ideology developed by Nissan.

  2. 2.

    Work pace that can be kept throughout the workday. It is neither too fast nor too slow. It is the pace of an average skilled worker.

  3. 3.

    Maximum work pace factor that an operator can bear when he works 8 h a day; it is 20 % higher than the normal work pace.

References

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Correspondence to Joaquín Bautista .

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Bautista, J., Alfaro-Pozo, R., Batalla-García, C., Llovera-Laborda, S.M. (2015). Mixed-Model Sequencing Problem Improving Labour Conditions. In: Cortés, P., Maeso-González, E., Escudero-Santana, A. (eds) Enhancing Synergies in a Collaborative Environment. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-14078-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-14078-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14077-3

  • Online ISBN: 978-3-319-14078-0

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