Abstract

This research initially tried to investigate the integrated cross-domain combinatorial optimization problem (COP) based on a real-world problem using observation and interview methods. The integration problem arose from universities with different locations in the city regarding course timetabling and providing transportation services for faculty members. The study used design science research methodology and produced an artifact of an integration model of the University Course Timetabling Problem (UCTP) and Vehicle Routing Problem (VRP). The models were created based on objective functions, decision variables, and constraints. The use of this model can help improve productivity and reduce operational costs. Future research can implement this artifact in mathematical models and solve it using COP methods, such as linear programming, heuristics, and metaheuristics algorithm.

Original languageEnglish
Title of host publication2023 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationLeveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-36
Number of pages6
ISBN (Electronic)9798350313956
DOIs
Publication statusPublished - 2023
Event24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023 - Hybrid, Surabaya, Indonesia
Duration: 26 Jul 202327 Jul 2023

Publication series

Name2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding

Conference

Conference24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Country/TerritoryIndonesia
CityHybrid, Surabaya
Period26/07/2327/07/23

Keywords

  • Cross-Domain Combinatorial optimization Problem
  • Initial Investigation
  • Integrated UCTP and VRP
  • University Course Timetabling Problem
  • Vehicle Routing Problem

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