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Incorporating human factors into decision support models for production and logistics: current state of research

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  • Grosse, E. H.
  • Calzavara, M.
  • Glock, C. H.
  • Sgarbossa, F.

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  • Grosse, E. H. & Calzavara, M. & Glock, C. H. & Sgarbossa, F., 2017. "Incorporating human factors into decision support models for production and logistics: current state of research," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 88433, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  • Handle: RePEc:dar:wpaper:88433
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/88433/
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    File URL: http://www.sciencedirect.com/science/article/pii/S2405896317317202
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    Cited by:

    1. Glock, Christoph H. & Grosse, Eric H. & Abedinnia, Hamid & Emde, Simon, 2019. "An integrated model to improve ergonomic and economic performance in order picking by rotating pallets," European Journal of Operational Research, Elsevier, vol. 273(2), pages 516-534.
    2. Marco Trost & Thorsten Claus & Frank Herrmann, 2023. "Master Production Scheduling with Consideration of Utilization-Dependent Exhaustion and Capacity Load," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    3. Marco Trost & Thorsten Claus & Frank Herrmann, 2022. "Social Sustainability in Production Planning: A Systematic Literature Review," Sustainability, MDPI, vol. 14(13), pages 1-31, July.
    4. Schwarz, Patrick & Klumpp, Matthias, 2020. "Preventing mental strain for logistics workers: Guideline development," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 737-761, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    5. Maximilian Zarte & Agnes Pechmann & Isabel L. Nunes, 2021. "Fuzzy Inference Model for Decision Support in Sustainable Production Planning Processes—A Case Study," Sustainability, MDPI, vol. 13(3), pages 1-29, January.
    6. Ozdemir, Rifat & Sarigol, Ilkan & AlMutairi, Sarah & AlMeea, Sarah & Murad, Abrar & Naqi, Aseel & AlNasser, Noor, 2021. "Fuzzy multi-objective model for assembly line balancing with ergonomic risks consideration," International Journal of Production Economics, Elsevier, vol. 239(C).
    7. Ranasinghe, Thilini & Senanayake, Chanaka D. & Grosse, Eric H., 2024. "Effects of stochastic and heterogeneous worker learning on the performance of a two-workstation production system," International Journal of Production Economics, Elsevier, vol. 267(C).

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