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A review of optimization studies for system appointment scheduling

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  • Additional Information
    • Contributors:
      Department of Logistics and Maritime Studies
    • Publication Information:
      MDPI AG
    • Publication Date:
      2025
    • Collection:
      Hong Kong Polytechnic University: PolyU Institutional Repository (PolyU IR)
    • Abstract:
      202502 bcrc ; Version of Record ; Others ; Beijing Social Science Fund Project under Grant ; Beijing Municipal Commission of Education ; China Postdoctoral Science Foundation ; Published ; CC
    • Relation:
      http://hdl.handle.net/10397/110894; 13; WOS:001149123900001; 16; OA_Scopus/WOS
    • Accession Number:
      10.3390/axioms13010016
    • Online Access:
      http://hdl.handle.net/10397/110894
      https://doi.org/10.3390/axioms13010016
    • Rights:
      © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). ; The following publication Niu, T.; Lei, B.; Guo, L.; Fang, S.; Li, Q.; Gao, B.; Yang, L.; Gao, K. A Review of Optimization Studies for System Appointment Scheduling. Axioms 2024, 13, 16 is available at https://dx.doi.org/10.3390/axioms13010016.
    • Accession Number:
      edsbas.519CEB3C