Vehicle-routing problem for low-carbon cold chain logistics based on the idea of cost–benefit
Abstract In the low-carbon economy, the fresh industry constitutes an “impossible triangle” in products, prices and services. Therefore, based on the idea of cost–benefit, a comprehensive vehicle routing problem optimization model with the objective function of minimizing the cost of unit satisfied...
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| Format: | Article |
| Language: | English |
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Springer
2025-01-01
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| Series: | Complex & Intelligent Systems |
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| Online Access: | https://doi.org/10.1007/s40747-024-01756-x |
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| author | Yan Liu Fengming Tao Rui Zhu |
| author_facet | Yan Liu Fengming Tao Rui Zhu |
| author_sort | Yan Liu |
| collection | DOAJ |
| description | Abstract In the low-carbon economy, the fresh industry constitutes an “impossible triangle” in products, prices and services. Therefore, based on the idea of cost–benefit, a comprehensive vehicle routing problem optimization model with the objective function of minimizing the cost of unit satisfied customer is presented. Then, a hybrid algorithm called local search genetic algorithm (LSGA) is proposed, which amalgamates the destroy-repair operator with GA algorithm. Extensive numerical experiments verify the feasibility and effectiveness of the proposed model and algorithm. Furthermore, the sensitivity analysis of freshness-keeping cost, carbon price and customer satisfaction weights were conducted. The experimental results show that appropriate freshness-keeping effort can reduce total costs and improve customer satisfaction. Increasing carbon price within a certain range can effectively reduce carbon emissions, and there is a trade-off relationship between carbon emissions and customer satisfaction. The results of considering both time satisfaction and freshness satisfaction are better than considering time satisfaction alone. |
| format | Article |
| id | doaj-art-2a58fada082249af9818a341191db7b2 |
| institution | Kabale University |
| issn | 2199-4536 2198-6053 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Complex & Intelligent Systems |
| spelling | doaj-art-2a58fada082249af9818a341191db7b22025-02-09T13:01:01ZengSpringerComplex & Intelligent Systems2199-45362198-60532025-01-0111211710.1007/s40747-024-01756-xVehicle-routing problem for low-carbon cold chain logistics based on the idea of cost–benefitYan Liu0Fengming Tao1Rui Zhu2School of Management Science and Real Estate, Chongqing UniversitySchool of Management Science and Real Estate, Chongqing UniversitySchool of Management Science and Real Estate, Chongqing UniversityAbstract In the low-carbon economy, the fresh industry constitutes an “impossible triangle” in products, prices and services. Therefore, based on the idea of cost–benefit, a comprehensive vehicle routing problem optimization model with the objective function of minimizing the cost of unit satisfied customer is presented. Then, a hybrid algorithm called local search genetic algorithm (LSGA) is proposed, which amalgamates the destroy-repair operator with GA algorithm. Extensive numerical experiments verify the feasibility and effectiveness of the proposed model and algorithm. Furthermore, the sensitivity analysis of freshness-keeping cost, carbon price and customer satisfaction weights were conducted. The experimental results show that appropriate freshness-keeping effort can reduce total costs and improve customer satisfaction. Increasing carbon price within a certain range can effectively reduce carbon emissions, and there is a trade-off relationship between carbon emissions and customer satisfaction. The results of considering both time satisfaction and freshness satisfaction are better than considering time satisfaction alone.https://doi.org/10.1007/s40747-024-01756-xCold chain logisticsVehicle-routing problemCustomer satisfactionCarbon tradingCost–benefit |
| spellingShingle | Yan Liu Fengming Tao Rui Zhu Vehicle-routing problem for low-carbon cold chain logistics based on the idea of cost–benefit Complex & Intelligent Systems Cold chain logistics Vehicle-routing problem Customer satisfaction Carbon trading Cost–benefit |
| title | Vehicle-routing problem for low-carbon cold chain logistics based on the idea of cost–benefit |
| title_full | Vehicle-routing problem for low-carbon cold chain logistics based on the idea of cost–benefit |
| title_fullStr | Vehicle-routing problem for low-carbon cold chain logistics based on the idea of cost–benefit |
| title_full_unstemmed | Vehicle-routing problem for low-carbon cold chain logistics based on the idea of cost–benefit |
| title_short | Vehicle-routing problem for low-carbon cold chain logistics based on the idea of cost–benefit |
| title_sort | vehicle routing problem for low carbon cold chain logistics based on the idea of cost benefit |
| topic | Cold chain logistics Vehicle-routing problem Customer satisfaction Carbon trading Cost–benefit |
| url | https://doi.org/10.1007/s40747-024-01756-x |
| work_keys_str_mv | AT yanliu vehicleroutingproblemforlowcarboncoldchainlogisticsbasedontheideaofcostbenefit AT fengmingtao vehicleroutingproblemforlowcarboncoldchainlogisticsbasedontheideaofcostbenefit AT ruizhu vehicleroutingproblemforlowcarboncoldchainlogisticsbasedontheideaofcostbenefit |