Designing of a dynamic logistics platform for optimization of truck assignment and its route for KINZA company
A consideration of the integral variables of customer location, traffic flow, and road conditions to determine the best feasible delivery routes is a big challenge in Logistical operations. A poor routing strategy that delivers products places an ineffective gloss and eventually converts into h...
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| Format: | Article |
| Language: | English |
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Growing Science
2025-01-01
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| Series: | Decision Science Letters |
| Online Access: | http://www.growingscience.com/dsl/Vol14/dsl_2025_5.pdf |
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| _version_ | 1850252504092114944 |
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| author | Osamah Abdulhameed Sali Ghanem Rafal Sadeq Reemas Al Ghamdi Dalal Al Mazyad Naveed Ahmed |
| author_facet | Osamah Abdulhameed Sali Ghanem Rafal Sadeq Reemas Al Ghamdi Dalal Al Mazyad Naveed Ahmed |
| author_sort | Osamah Abdulhameed |
| collection | DOAJ |
| description |
A consideration of the integral variables of customer location, traffic flow, and road conditions to determine the best feasible delivery routes is a big challenge in Logistical operations. A poor routing strategy that delivers products places an ineffective gloss and eventually converts into high operating expenses, over-consumption of fuel, and shipment delays. The paper’s goal is to build a model for the logistics management of the company which aims for effective management of the truck allocation and vehicle routing using K-means clustering and TSP. K-means clustering is often used to classify the sites of delivery based on their closeness in space, hence simplifying the problem by reducing its dimensionality. The proposed algorithm considered customer location prioritization in deliveries, delivery task allocation, and truck allocation to enable timely delivery. Therefore, this paper presented a solution to enhance the logistics operations of beverage brand “KINZA” by optimizing its truck loading and delivery route. The model would ensure that each truck is able to travel optimally, with vehicle-routing algorithms applied in a way to avoid all unnecessary waste of time and distance. Finally, the main scope of this paper is to develop and design a dynamic logistics platform for the KINZA Company distribution network. |
| format | Article |
| id | doaj-art-8aeb0acecc47483ca493b428050e42be |
| institution | OA Journals |
| issn | 1929-5804 1929-5812 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Decision Science Letters |
| spelling | doaj-art-8aeb0acecc47483ca493b428050e42be2025-08-20T01:57:39ZengGrowing ScienceDecision Science Letters1929-58041929-58122025-01-0114232733810.5267/j.dsl.2025.1.005Designing of a dynamic logistics platform for optimization of truck assignment and its route for KINZA companyOsamah AbdulhameedSali GhanemRafal SadeqReemas Al GhamdiDalal Al MazyadNaveed Ahmed A consideration of the integral variables of customer location, traffic flow, and road conditions to determine the best feasible delivery routes is a big challenge in Logistical operations. A poor routing strategy that delivers products places an ineffective gloss and eventually converts into high operating expenses, over-consumption of fuel, and shipment delays. The paper’s goal is to build a model for the logistics management of the company which aims for effective management of the truck allocation and vehicle routing using K-means clustering and TSP. K-means clustering is often used to classify the sites of delivery based on their closeness in space, hence simplifying the problem by reducing its dimensionality. The proposed algorithm considered customer location prioritization in deliveries, delivery task allocation, and truck allocation to enable timely delivery. Therefore, this paper presented a solution to enhance the logistics operations of beverage brand “KINZA” by optimizing its truck loading and delivery route. The model would ensure that each truck is able to travel optimally, with vehicle-routing algorithms applied in a way to avoid all unnecessary waste of time and distance. Finally, the main scope of this paper is to develop and design a dynamic logistics platform for the KINZA Company distribution network.http://www.growingscience.com/dsl/Vol14/dsl_2025_5.pdf |
| spellingShingle | Osamah Abdulhameed Sali Ghanem Rafal Sadeq Reemas Al Ghamdi Dalal Al Mazyad Naveed Ahmed Designing of a dynamic logistics platform for optimization of truck assignment and its route for KINZA company Decision Science Letters |
| title | Designing of a dynamic logistics platform for optimization of truck assignment and its route for KINZA company |
| title_full | Designing of a dynamic logistics platform for optimization of truck assignment and its route for KINZA company |
| title_fullStr | Designing of a dynamic logistics platform for optimization of truck assignment and its route for KINZA company |
| title_full_unstemmed | Designing of a dynamic logistics platform for optimization of truck assignment and its route for KINZA company |
| title_short | Designing of a dynamic logistics platform for optimization of truck assignment and its route for KINZA company |
| title_sort | designing of a dynamic logistics platform for optimization of truck assignment and its route for kinza company |
| url | http://www.growingscience.com/dsl/Vol14/dsl_2025_5.pdf |
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