A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems: An Initial Investigation

Dihin Muriyatmoko; Arif Djunaidy; Ahmad Muklason

doi:10.1109/ISITIA59021.2023.10221190

A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems: An Initial Investigation

Dihin Muriyatmoko
, Arif Djunaidy
, Ahmad Muklason

Institut Teknologi Sepuluh Nopember
University of Darussalam Gontor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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 language	English
Title of host publication	2023 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publication	Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	31-36
Number of pages	6
ISBN (Electronic)	9798350313956
DOIs	https://doi.org/10.1109/ISITIA59021.2023.10221190
Publication status	Published - 2023
Event	24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023 - Hybrid, Surabaya, Indonesia Duration: 26 Jul 2023 → 27 Jul 2023

Publication series

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

Conference

Conference	24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Country/Territory	Indonesia
City	Hybrid, Surabaya
Period	26/07/23 → 27/07/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

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

Access to Document

10.1109/ISITIA59021.2023.10221190

Cite this

Muriyatmoko, D., Djunaidy, A., & Muklason, A. (2023). A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems: An Initial Investigation. In 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding (pp. 31-36). (2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA59021.2023.10221190

Muriyatmoko, Dihin ; Djunaidy, Arif ; Muklason, Ahmad. / A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems : An Initial Investigation. 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 31-36 (2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding).

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title = "A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems: An Initial Investigation",

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.",

keywords = "Cross-Domain Combinatorial optimization Problem, Initial Investigation, Integrated UCTP and VRP, University Course Timetabling Problem, Vehicle Routing Problem",

author = "Dihin Muriyatmoko and Arif Djunaidy and Ahmad Muklason",

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doi = "10.1109/ISITIA59021.2023.10221190",

language = "English",

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

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Muriyatmoko, D, Djunaidy, A & Muklason, A 2023, A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems: An Initial Investigation. in 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding. 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding, Institute of Electrical and Electronics Engineers Inc., pp. 31-36, 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023, Hybrid, Surabaya, Indonesia, 26/07/23. https://doi.org/10.1109/ISITIA59021.2023.10221190

A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems: An Initial Investigation. / Muriyatmoko, Dihin; Djunaidy, Arif ; Muklason, Ahmad.
2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2023. p. 31-36 (2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Muklason, Ahmad

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N2 - 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.

AB - 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.

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DO - 10.1109/ISITIA59021.2023.10221190

M3 - Conference contribution

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T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding

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Muriyatmoko D, Djunaidy A , Muklason A. A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems: An Initial Investigation. In 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2023. p. 31-36. (2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding). doi: 10.1109/ISITIA59021.2023.10221190

A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems: An Initial Investigation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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