A mixed-integer linear programming model for multiechelon and multimodal supply chain system considering carbon emission
Considering carbon emissions when making supply chain decisions has been an essential contributor for keeping this world more sustainable. This paper presents a mixed-integer linear programming (MILP) model to optimize production and transportation decision where the transportation activities involv...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/23311916.2022.2044589 |
| _version_ | 1797765945831194624 |
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| author | Thina Ardliana I Nyoman Pujawan Nurhadi Siswanto |
| author_facet | Thina Ardliana I Nyoman Pujawan Nurhadi Siswanto |
| author_sort | Thina Ardliana |
| collection | DOAJ |
| description | Considering carbon emissions when making supply chain decisions has been an essential contributor for keeping this world more sustainable. This paper presents a mixed-integer linear programming (MILP) model to optimize production and transportation decision where the transportation activities involve a multimodal combination. The proposed mathematical model was aimed at minimizing the total costs incurred from supply chain activities as well as the emissions generated. Carbon cap is used to ensure that the emissions produced in the whole activities do not exceed the allowable limit. In this research, we address a multi-product, multi-plant, multi-departure, and arrival stations where multiple customers are to be served for multiple periods. The numerical tests show that the demand, carbon tax, and distance significantly affected the total emissions and the total costs. Interestingly, we observed that the decisions are much more affected by the logistical costs rather than the emission costs. The model presented in this paper can assist the decision makers to make production, delivery, and inventory decisions when multi-modal transportation is involved. |
| first_indexed | 2024-03-12T20:17:25Z |
| format | Article |
| id | doaj.art-4d34a274a0cd452abe43af124a960ef0 |
| institution | Directory Open Access Journal |
| issn | 2331-1916 |
| language | English |
| last_indexed | 2024-03-12T20:17:25Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Engineering |
| spelling | doaj.art-4d34a274a0cd452abe43af124a960ef02023-08-02T01:10:36ZengTaylor & Francis GroupCogent Engineering2331-19162022-12-019110.1080/23311916.2022.2044589A mixed-integer linear programming model for multiechelon and multimodal supply chain system considering carbon emissionThina Ardliana0I Nyoman Pujawan1Nurhadi Siswanto2Department of Design and Manufacture, Shipbuilding Institute of Polthechnic Surabaya, IndonesiaDepartment of Design and Manufacture, Shipbuilding Institute of Polthechnic Surabaya, IndonesiaDepartment of Industrial Engineering, Sepuluh Nopember Institute of Technology, Surabaya, IndonesiaConsidering carbon emissions when making supply chain decisions has been an essential contributor for keeping this world more sustainable. This paper presents a mixed-integer linear programming (MILP) model to optimize production and transportation decision where the transportation activities involve a multimodal combination. The proposed mathematical model was aimed at minimizing the total costs incurred from supply chain activities as well as the emissions generated. Carbon cap is used to ensure that the emissions produced in the whole activities do not exceed the allowable limit. In this research, we address a multi-product, multi-plant, multi-departure, and arrival stations where multiple customers are to be served for multiple periods. The numerical tests show that the demand, carbon tax, and distance significantly affected the total emissions and the total costs. Interestingly, we observed that the decisions are much more affected by the logistical costs rather than the emission costs. The model presented in this paper can assist the decision makers to make production, delivery, and inventory decisions when multi-modal transportation is involved.https://www.tandfonline.com/doi/10.1080/23311916.2022.2044589Supply chain systemmultimodalmixed-integer linear programmingcarbon emission |
| spellingShingle | Thina Ardliana I Nyoman Pujawan Nurhadi Siswanto A mixed-integer linear programming model for multiechelon and multimodal supply chain system considering carbon emission Cogent Engineering Supply chain system multimodal mixed-integer linear programming carbon emission |
| title | A mixed-integer linear programming model for multiechelon and multimodal supply chain system considering carbon emission |
| title_full | A mixed-integer linear programming model for multiechelon and multimodal supply chain system considering carbon emission |
| title_fullStr | A mixed-integer linear programming model for multiechelon and multimodal supply chain system considering carbon emission |
| title_full_unstemmed | A mixed-integer linear programming model for multiechelon and multimodal supply chain system considering carbon emission |
| title_short | A mixed-integer linear programming model for multiechelon and multimodal supply chain system considering carbon emission |
| title_sort | mixed integer linear programming model for multiechelon and multimodal supply chain system considering carbon emission |
| topic | Supply chain system multimodal mixed-integer linear programming carbon emission |
| url | https://www.tandfonline.com/doi/10.1080/23311916.2022.2044589 |
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