Analysis of multi-objective vehicle routing problem with flexible time windows: The implication for open innovation dynamics
Renewable energy has been a worldwide interest due to a growing energy demand as well as a mounting concern over the hostile impacts from traditional fuels. One of a direction for future renewable energy is the use of biofuel. In this research, we initially apply the K-means algorithm to evaluate th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Journal of Open Innovation: Technology, Market and Complexity |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2199853123001269 |
| _version_ | 1797391840963461120 |
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| author | Kasin Ransikarbum Niroot Wattanasaeng Sreenath Chalil Madathil |
| author_facet | Kasin Ransikarbum Niroot Wattanasaeng Sreenath Chalil Madathil |
| author_sort | Kasin Ransikarbum |
| collection | DOAJ |
| description | Renewable energy has been a worldwide interest due to a growing energy demand as well as a mounting concern over the hostile impacts from traditional fuels. One of a direction for future renewable energy is the use of biofuel. In this research, we initially apply the K-means algorithm to evaluate the possible locations of collection sites at the upstream of the biofuel supply chain. Next, we propose the multi-objective vehicle routing problem model, in which flexible time windows are synchronized in the model. Additionally, our integrated model evaluates the perspective of socioeconomic by considering total cost – the surrogate criterion for economic aspect as well as the lateness for delivery and the maximum delivery time – the surrogate criteria for social aspect, into account. Finally, we apply a model to a regional case study based on the wood-biomass data of the biofuel supply chain in Thailand, in which the geographic information system is applied. |
| first_indexed | 2024-03-08T23:38:31Z |
| format | Article |
| id | doaj.art-322063fb1f3f4746a7fbe34ddee24bf6 |
| institution | Directory Open Access Journal |
| issn | 2199-8531 |
| language | English |
| last_indexed | 2024-03-08T23:38:31Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Open Innovation: Technology, Market and Complexity |
| spelling | doaj.art-322063fb1f3f4746a7fbe34ddee24bf62023-12-14T05:22:10ZengElsevierJournal of Open Innovation: Technology, Market and Complexity2199-85312023-03-0191100024Analysis of multi-objective vehicle routing problem with flexible time windows: The implication for open innovation dynamicsKasin Ransikarbum0Niroot Wattanasaeng1Sreenath Chalil Madathil2Department of Industrial Engineering, Ubonratchathani University, Ubon Ratchathani, Thailand; Corresponding author.Faculty of Engineering, Thonburi University, Bangkok, ThailandDepartment of Systems Science and Industrial Engineering, Binghamton University, USARenewable energy has been a worldwide interest due to a growing energy demand as well as a mounting concern over the hostile impacts from traditional fuels. One of a direction for future renewable energy is the use of biofuel. In this research, we initially apply the K-means algorithm to evaluate the possible locations of collection sites at the upstream of the biofuel supply chain. Next, we propose the multi-objective vehicle routing problem model, in which flexible time windows are synchronized in the model. Additionally, our integrated model evaluates the perspective of socioeconomic by considering total cost – the surrogate criterion for economic aspect as well as the lateness for delivery and the maximum delivery time – the surrogate criteria for social aspect, into account. Finally, we apply a model to a regional case study based on the wood-biomass data of the biofuel supply chain in Thailand, in which the geographic information system is applied.http://www.sciencedirect.com/science/article/pii/S2199853123001269Biofuel supply chainMulti-objective optimizationK-means algorithmVehicle routing problemFlexible time windowsSustainability |
| spellingShingle | Kasin Ransikarbum Niroot Wattanasaeng Sreenath Chalil Madathil Analysis of multi-objective vehicle routing problem with flexible time windows: The implication for open innovation dynamics Journal of Open Innovation: Technology, Market and Complexity Biofuel supply chain Multi-objective optimization K-means algorithm Vehicle routing problem Flexible time windows Sustainability |
| title | Analysis of multi-objective vehicle routing problem with flexible time windows: The implication for open innovation dynamics |
| title_full | Analysis of multi-objective vehicle routing problem with flexible time windows: The implication for open innovation dynamics |
| title_fullStr | Analysis of multi-objective vehicle routing problem with flexible time windows: The implication for open innovation dynamics |
| title_full_unstemmed | Analysis of multi-objective vehicle routing problem with flexible time windows: The implication for open innovation dynamics |
| title_short | Analysis of multi-objective vehicle routing problem with flexible time windows: The implication for open innovation dynamics |
| title_sort | analysis of multi objective vehicle routing problem with flexible time windows the implication for open innovation dynamics |
| topic | Biofuel supply chain Multi-objective optimization K-means algorithm Vehicle routing problem Flexible time windows Sustainability |
| url | http://www.sciencedirect.com/science/article/pii/S2199853123001269 |
| work_keys_str_mv | AT kasinransikarbum analysisofmultiobjectivevehicleroutingproblemwithflexibletimewindowstheimplicationforopeninnovationdynamics AT nirootwattanasaeng analysisofmultiobjectivevehicleroutingproblemwithflexibletimewindowstheimplicationforopeninnovationdynamics AT sreenathchalilmadathil analysisofmultiobjectivevehicleroutingproblemwithflexibletimewindowstheimplicationforopeninnovationdynamics |