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Machine scheduling problems in production: A tertiary study

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  • Abedinnia, Hamid
  • Glock, C. H.
  • Schneider, M.
  • Grosse, E. H.

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  • Abedinnia, Hamid & Glock, C. H. & Schneider, M. & Grosse, E. H., 2017. "Machine scheduling problems in production: A tertiary study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 88118, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:88118
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/88118/
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    Cited by:

    1. S. Maryam Masoumi & Nima Kazemi & Salwa Hanim Abdul-Rashid, 2019. "Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review," Sustainability, MDPI, vol. 11(14), pages 1-30, July.
    2. Guojun Hu & Pengxiang Pan & Suding Liu & Ping Yang & Runtao Xie, 2024. "The prize-collecting single machine scheduling with bounds and penalties," Journal of Combinatorial Optimization, Springer, vol. 48(2), pages 1-13, September.
    3. Marcelo Werneck Barbosa, 2022. "A Critical Appraisal of Review Studies in Circular Economy: a Tertiary Study," Circular Economy and Sustainability, Springer, vol. 2(2), pages 473-505, June.
    4. Jesús Isaac Vázquez-Serrano & Leopoldo Eduardo Cárdenas-Barrón & Rodrigo E. Peimbert-García, 2021. "Agent Scheduling in Unrelated Parallel Machines with Sequence- and Agent–Machine–Dependent Setup Time Problem," Mathematics, MDPI, vol. 9(22), pages 1-34, November.
    5. Priscila Pereira Suzart Carvalho & Ricardo Araújo Kalid & Jorge Laureano Moya Rodríguez & Sandro Breval Santiago, 2019. "Interactions among stakeholders in the processes of city logistics: a systematic review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 567-607, August.
    6. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
    7. Elisa Negri & Vibhor Pandhare & Laura Cattaneo & Jaskaran Singh & Marco Macchi & Jay Lee, 2021. "Field-synchronized Digital Twin framework for production scheduling with uncertainty," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1207-1228, April.

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