Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation
The location decision on service facilities is of significant importance in determining the accessibility of the service provided. Due to this reason, it has been extensively focused over the past decades by both researchers and practitioners. This paper investigates a novel two-phase hybrid method...
Main Authors: | , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Springer Nature
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10037/20740 https://doi.org/10.1007/978-981-15-2341-0_72 |
id |
ftunivtroemsoe:oai:munin.uit.no:10037/20740 |
---|---|
record_format |
openpolar |
spelling |
ftunivtroemsoe:oai:munin.uit.no:10037/20740 2023-05-15T17:14:08+02:00 Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation Sun, Xu Yu, Hao Solvang, Wei Deng 2020-01-03 https://hdl.handle.net/10037/20740 https://doi.org/10.1007/978-981-15-2341-0_72 eng eng Springer Nature Lecture Notes in Electrical Engineering Sun, X.; Yu, H., Solvang, W.D. (2020) Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation. Lecture Notes in Electrical Engineering, 634 , 577-584 FRIDAID 1765550 doi:10.1007/978-981-15-2341-0_72 1876-1100 1876-1119 https://hdl.handle.net/10037/20740 openAccess Copyright 2020 Springer Nature VDP::Technology: 500::Mechanical engineering: 570 VDP::Teknologi: 500::Maskinfag: 570 Journal article Tidsskriftartikkel Peer reviewed acceptedVersion 2020 ftunivtroemsoe https://doi.org/10.1007/978-981-15-2341-0_72 2021-06-25T17:58:07Z The location decision on service facilities is of significant importance in determining the accessibility of the service provided. Due to this reason, it has been extensively focused over the past decades by both researchers and practitioners. This paper investigates a novel two-phase hybrid method combining both optimization model and agent-based simulation in order to solve the location problem of printers at a building of UiT The Arctic University of Norway, Narvik campus. In the first phase, the p-median location problem is employed to select the optimal locations of printers from a number of pre-determined candidate points so that the total travel distance by both employees and students can be minimized. In the second phase, both the original and the optimal location plans of printers are tested, validated and visualized with the help of AnyLogic simulation package. The result of the case study shows, however, the mathematically optimized solution may not yield a better performance under a realistic environment due to the simplification made and incapability to deal with the randomness. This has revealed that AnyLogic simulation can be used as a powerful tool to validate and visualize the result obtained from an optimization model and to make suggestions on the improvement. Article in Journal/Newspaper Narvik Narvik Arctic University of Norway UiT The Arctic University of Norway University of Tromsø: Munin Open Research Archive Arctic Narvik ENVELOPE(17.427,17.427,68.438,68.438) Norway 577 584 |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
topic |
VDP::Technology: 500::Mechanical engineering: 570 VDP::Teknologi: 500::Maskinfag: 570 |
spellingShingle |
VDP::Technology: 500::Mechanical engineering: 570 VDP::Teknologi: 500::Maskinfag: 570 Sun, Xu Yu, Hao Solvang, Wei Deng Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation |
topic_facet |
VDP::Technology: 500::Mechanical engineering: 570 VDP::Teknologi: 500::Maskinfag: 570 |
description |
The location decision on service facilities is of significant importance in determining the accessibility of the service provided. Due to this reason, it has been extensively focused over the past decades by both researchers and practitioners. This paper investigates a novel two-phase hybrid method combining both optimization model and agent-based simulation in order to solve the location problem of printers at a building of UiT The Arctic University of Norway, Narvik campus. In the first phase, the p-median location problem is employed to select the optimal locations of printers from a number of pre-determined candidate points so that the total travel distance by both employees and students can be minimized. In the second phase, both the original and the optimal location plans of printers are tested, validated and visualized with the help of AnyLogic simulation package. The result of the case study shows, however, the mathematically optimized solution may not yield a better performance under a realistic environment due to the simplification made and incapability to deal with the randomness. This has revealed that AnyLogic simulation can be used as a powerful tool to validate and visualize the result obtained from an optimization model and to make suggestions on the improvement. |
format |
Article in Journal/Newspaper |
author |
Sun, Xu Yu, Hao Solvang, Wei Deng |
author_facet |
Sun, Xu Yu, Hao Solvang, Wei Deng |
author_sort |
Sun, Xu |
title |
Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation |
title_short |
Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation |
title_full |
Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation |
title_fullStr |
Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation |
title_full_unstemmed |
Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation |
title_sort |
solving the location problem of printers in a university campus using p-median location model and anylogic simulation |
publisher |
Springer Nature |
publishDate |
2020 |
url |
https://hdl.handle.net/10037/20740 https://doi.org/10.1007/978-981-15-2341-0_72 |
long_lat |
ENVELOPE(17.427,17.427,68.438,68.438) |
geographic |
Arctic Narvik Norway |
geographic_facet |
Arctic Narvik Norway |
genre |
Narvik Narvik Arctic University of Norway UiT The Arctic University of Norway |
genre_facet |
Narvik Narvik Arctic University of Norway UiT The Arctic University of Norway |
op_relation |
Lecture Notes in Electrical Engineering Sun, X.; Yu, H., Solvang, W.D. (2020) Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation. Lecture Notes in Electrical Engineering, 634 , 577-584 FRIDAID 1765550 doi:10.1007/978-981-15-2341-0_72 1876-1100 1876-1119 https://hdl.handle.net/10037/20740 |
op_rights |
openAccess Copyright 2020 Springer Nature |
op_doi |
https://doi.org/10.1007/978-981-15-2341-0_72 |
container_start_page |
577 |
op_container_end_page |
584 |
_version_ |
1766071421473128448 |