A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics
Purpose: With the widespread use of the Internet, electronic commerce allows customers to purchase products from the virtual stores of businesses instead of physical stores. This study addressed a mixed-integer linear programming model for a vehicle routing problem under returns and emission conside...
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| Language: | English |
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Sanayi ve Teknoloji Bakanlığı
2025-02-01
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| Series: | Verimlilik Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/4144597 |
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| author | Sedat Belbağ |
| author_facet | Sedat Belbağ |
| author_sort | Sedat Belbağ |
| collection | DOAJ |
| description | Purpose: With the widespread use of the Internet, electronic commerce allows customers to purchase products from the virtual stores of businesses instead of physical stores. This study addressed a mixed-integer linear programming model for a vehicle routing problem under returns and emission considerations in B2C e-commerce logistics.Methodology: This study proposes a mathematical model to solve a variant of the vehicle routing problem. The objective is to minimize the fuel consumption cost, penalty cost for unmet demand of returned items, and fixed cost for operating a vehicle. A clustering-based solution algorithm has been introduced to solve large-sized instances within reasonable solution times.Findings: The numerical analysis for the base case shows that the suggested model can assist decision-makers in coordinating forward distribution and reverse collection decisions within the context of sustainable e-commerce logistics. The result of the adjusted model for minimizing emission shows that a reduction of nearly 17% in total emission amount can be achieved, however, the adjusted model postpones all demand for the collection of returned items. Furthermore, the cluster-based solution approach causes a considerable decrease in solution time while providing promising solutions.Originality: This study represents a contribution to the existing literature on the subject by considering: i) emission to determine effects on the vehicle routing problem, ii) the postponement of the collection of returned items due to the limited delivery time, iii) proposing the clustering-based solution approach to tackle with larger-sized problems. |
| format | Article |
| id | doaj-art-24008cac4bf441c7b1a6573fbefad4c7 |
| institution | Kabale University |
| issn | 1013-1388 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Sanayi ve Teknoloji Bakanlığı |
| record_format | Article |
| series | Verimlilik Dergisi |
| spelling | doaj-art-24008cac4bf441c7b1a6573fbefad4c72025-02-07T06:03:41ZengSanayi ve Teknoloji BakanlığıVerimlilik Dergisi1013-13882025-02-01PRODUCTIVITY FOR LOGISTICS637610.51551/verimlilik.1533127417A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce LogisticsSedat Belbağ0https://orcid.org/0000-0002-4136-2468ANKARA HACI BAYRAM VELİ ÜNİVERSİTESİPurpose: With the widespread use of the Internet, electronic commerce allows customers to purchase products from the virtual stores of businesses instead of physical stores. This study addressed a mixed-integer linear programming model for a vehicle routing problem under returns and emission considerations in B2C e-commerce logistics.Methodology: This study proposes a mathematical model to solve a variant of the vehicle routing problem. The objective is to minimize the fuel consumption cost, penalty cost for unmet demand of returned items, and fixed cost for operating a vehicle. A clustering-based solution algorithm has been introduced to solve large-sized instances within reasonable solution times.Findings: The numerical analysis for the base case shows that the suggested model can assist decision-makers in coordinating forward distribution and reverse collection decisions within the context of sustainable e-commerce logistics. The result of the adjusted model for minimizing emission shows that a reduction of nearly 17% in total emission amount can be achieved, however, the adjusted model postpones all demand for the collection of returned items. Furthermore, the cluster-based solution approach causes a considerable decrease in solution time while providing promising solutions.Originality: This study represents a contribution to the existing literature on the subject by considering: i) emission to determine effects on the vehicle routing problem, ii) the postponement of the collection of returned items due to the limited delivery time, iii) proposing the clustering-based solution approach to tackle with larger-sized problems.https://dergipark.org.tr/tr/download/article-file/4144597e-commerce logisticsvehicle routing problemproduct returnsemissione-ticaret lojistiğiaraç rotalama problemigeri dönmüş ürünemisyon |
| spellingShingle | Sedat Belbağ A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics Verimlilik Dergisi e-commerce logistics vehicle routing problem product returns emission e-ticaret lojistiği araç rotalama problemi geri dönmüş ürün emisyon |
| title | A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics |
| title_full | A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics |
| title_fullStr | A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics |
| title_full_unstemmed | A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics |
| title_short | A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics |
| title_sort | model for vehicle routing problem under returns and emission consideration in b2c e commerce logistics |
| topic | e-commerce logistics vehicle routing problem product returns emission e-ticaret lojistiği araç rotalama problemi geri dönmüş ürün emisyon |
| url | https://dergipark.org.tr/tr/download/article-file/4144597 |
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