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Smart Industry Strategies for Shop-Floor Production Planning Problems to Support Mass Customization

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Smart Cities (ICSC-Cities 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1938))

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Abstract

The smart industry paradigm has revolutionized the landscape of production processes, ushering in new strategies to meet evolving demands. Among these strategies, mass customization stands out, for producing nearly tailored products based on customers preferences, while still using massive production techniques that allow keeping costs burdened. However, to embrace mass customization several operations at shop-floor level of the industry have to be adjusted, among them production planning strategies due to the emergence of missing operations. In this line, this article presents a suite of metaheuristic algorithms designed to tackle the multiobjective flowshop problem with missing operations while considering as optimization criteria the makespan, weighted total tardiness, and total completion time. Through extensive computational experiments on realistic instances, the performance of the applied metaheuristics is thoroughly evaluated. The results underscore the competitiveness of the proposed approaches in effectively addressing the intrinsic computational complexity of the addressed optimization problem, affirming their viability for real-world applications.

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Acknowledgements

This work was partly supported by research projects Red Industria 4.0 (319RT0574, CYTED), PICT-2021-I-INVI-00217 of Agencia I+D+i (Argentina), and PIBAA 0466CO (CONICET).

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Authors and Affiliations

  1. INMABB, Dpto. Ing., Universidad Nacional del Sur-CONICET, Bahía Blanca, Argentina

    Diego Rossit & Daniel Rossit

  2. Universidad de la República, Montevideo, Uruguay

    Sergio Nesmachnow

Authors
  1. Diego Rossit
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  2. Daniel Rossit
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  3. Sergio Nesmachnow
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Correspondence to Diego Rossit .

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Editors and Affiliations

  1. Universidad de la República, Montevideo, Uruguay

    Sergio Nesmachnow

  2. Universidad de Valladolid, Soria, Soria, Spain

    Luis Hernández Callejo

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Rossit, D., Rossit, D., Nesmachnow, S. (2024). Smart Industry Strategies for Shop-Floor Production Planning Problems to Support Mass Customization. In: Nesmachnow, S., Hernández Callejo, L. (eds) Smart Cities. ICSC-Cities 2023. Communications in Computer and Information Science, vol 1938. Springer, Cham. https://doi.org/10.1007/978-3-031-52517-9_9

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  • DOI: https://doi.org/10.1007/978-3-031-52517-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-52516-2

  • Online ISBN: 978-3-031-52517-9

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