Metaheuristics in Business Model Development for Local Tourism Sustainability Enhancement
This study focused on analyzing planning and scheduling services in the tourism industry. Because dealing with these issues necessitates consideration of several important factors and stakeholders in the tourism business, it is challenging to operate resources efficiently. The purpose of this resear...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/10/24/4750 |
| _version_ | 1797456449257865216 |
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| author | Pawnrat Thumrongvut Kanchana Sethanan Thitipong Jamrus Chuleeporn Wongloucha Rapeepan Pitakaso Paulina Golinska-Dawson |
| author_facet | Pawnrat Thumrongvut Kanchana Sethanan Thitipong Jamrus Chuleeporn Wongloucha Rapeepan Pitakaso Paulina Golinska-Dawson |
| author_sort | Pawnrat Thumrongvut |
| collection | DOAJ |
| description | This study focused on analyzing planning and scheduling services in the tourism industry. Because dealing with these issues necessitates consideration of several important factors and stakeholders in the tourism business, it is challenging to operate resources efficiently. The purpose of this research is to propose a novel approach that allows maximizing the profits of tourism-related service sectors while considering many real-life constraints, such as sequence-dependent travel time, tourist time windows, points of interest, and specific destination constraints. We test our mathematical model for solving first small-scale problems and then metaheuristics proposed for finding a solution for real-life size problems. Moreover, sensitivity analysis was used to analyze the case study’s worthiness when the total cost and the revenue factor were changed. A real case study from Thailand’s Khon Kaen and Kanchanaburi provinces were used to verify the proposed models. The results indicate that the proposed models can be applied to investment decisions and strategy development. Furthermore, the outputs of the proposed models (i.e., the mathematical and metaheuristics models) can be employed to enhance the sustainability of other supply chains. |
| first_indexed | 2024-03-09T16:08:00Z |
| format | Article |
| id | doaj.art-48322a526f7744499b5816ef422983f8 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T16:08:00Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-48322a526f7744499b5816ef422983f82023-11-24T16:29:07ZengMDPI AGMathematics2227-73902022-12-011024475010.3390/math10244750Metaheuristics in Business Model Development for Local Tourism Sustainability EnhancementPawnrat Thumrongvut0Kanchana Sethanan1Thitipong Jamrus2Chuleeporn Wongloucha3Rapeepan Pitakaso4Paulina Golinska-Dawson5Research Unit on System Modelling for Industry, Department of Industrial Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, ThailandResearch Unit on System Modelling for Industry, Department of Industrial Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, ThailandResearch Unit on System Modelling for Industry, Department of Industrial Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, ThailandFaculty of Economics, Khon Kaen University, Khon Kaen 40002, ThailandMetaheuristics for Logistic Optimization Laboratory, Department of Industrial Engineering, Faculty of Engineering, Ubon Ratchathani University, Ubon Ratchathani 34190, ThailandFaculty of Engineering Management, Poznan University of Technology, 60-965 Poznań, PolandThis study focused on analyzing planning and scheduling services in the tourism industry. Because dealing with these issues necessitates consideration of several important factors and stakeholders in the tourism business, it is challenging to operate resources efficiently. The purpose of this research is to propose a novel approach that allows maximizing the profits of tourism-related service sectors while considering many real-life constraints, such as sequence-dependent travel time, tourist time windows, points of interest, and specific destination constraints. We test our mathematical model for solving first small-scale problems and then metaheuristics proposed for finding a solution for real-life size problems. Moreover, sensitivity analysis was used to analyze the case study’s worthiness when the total cost and the revenue factor were changed. A real case study from Thailand’s Khon Kaen and Kanchanaburi provinces were used to verify the proposed models. The results indicate that the proposed models can be applied to investment decisions and strategy development. Furthermore, the outputs of the proposed models (i.e., the mathematical and metaheuristics models) can be employed to enhance the sustainability of other supply chains.https://www.mdpi.com/2227-7390/10/24/4750sustainable managementplanning and schedulingtourism supply chainmathematical programmingmultiple providers |
| spellingShingle | Pawnrat Thumrongvut Kanchana Sethanan Thitipong Jamrus Chuleeporn Wongloucha Rapeepan Pitakaso Paulina Golinska-Dawson Metaheuristics in Business Model Development for Local Tourism Sustainability Enhancement Mathematics sustainable management planning and scheduling tourism supply chain mathematical programming multiple providers |
| title | Metaheuristics in Business Model Development for Local Tourism Sustainability Enhancement |
| title_full | Metaheuristics in Business Model Development for Local Tourism Sustainability Enhancement |
| title_fullStr | Metaheuristics in Business Model Development for Local Tourism Sustainability Enhancement |
| title_full_unstemmed | Metaheuristics in Business Model Development for Local Tourism Sustainability Enhancement |
| title_short | Metaheuristics in Business Model Development for Local Tourism Sustainability Enhancement |
| title_sort | metaheuristics in business model development for local tourism sustainability enhancement |
| topic | sustainable management planning and scheduling tourism supply chain mathematical programming multiple providers |
| url | https://www.mdpi.com/2227-7390/10/24/4750 |
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