Cost Modeling for Pickup and Delivery Outsourcing in CEP Operations: A Multidimensional Approach
<i>Background</i>: The growth of parcel volumes in urban areas, largely driven by e-commerce, has increased the complexity of pickup and delivery operations. To meet demands for cost efficiency, flexibility, and sustainability, CEP (Courier, Express, and Parcel) operators increasingly ou...
| الحاوية / القاعدة: | Logistics |
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| المؤلفون الرئيسيون: | , , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
MDPI AG
2025-07-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2305-6290/9/3/96 |
| _version_ | 1848776102775881728 |
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| author | Ermin Muharemović Amel Kosovac Muhamed Begović Snežana Tadić Mladen Krstić |
| author_facet | Ermin Muharemović Amel Kosovac Muhamed Begović Snežana Tadić Mladen Krstić |
| author_sort | Ermin Muharemović |
| collection | DOAJ |
| container_title | Logistics |
| description | <i>Background</i>: The growth of parcel volumes in urban areas, largely driven by e-commerce, has increased the complexity of pickup and delivery operations. To meet demands for cost efficiency, flexibility, and sustainability, CEP (Courier, Express, and Parcel) operators increasingly outsource segments of their last-mile networks. <i>Methods</i>: This study proposes a novel multidimensional cost model for outsourcing, integrating five key variables: transport unit type (parcel/pallet), service phase (pickup/delivery), vehicle category, powertrain type, and delivery point type. The model applies correction coefficients based on internal operational costs, further adjusted for location and service quality using a bonus/malus mechanism. <i>Results</i>: Each cost component is calculated independently, enabling full transparency and route-level cost tracking. A real-world case study was conducted using operational data from a CEP operator in Bosnia and Herzegovina. The model demonstrated improved accuracy and fairness in cost allocation, with measurable savings of up to 7% compared to existing fixed-price models. <i>Conclusions</i>: The proposed model supports data-driven outsourcing decisions, allows tailored cost structuring based on operational realities, and aligns with sustainable last-mile delivery strategies. It offers a scalable and adaptable tool for CEP operators seeking to enhance cost control and service efficiency in complex urban environments. |
| format | Article |
| id | doaj-art-efe009d4c4ce423aba6dc06e88c23b6d |
| institution | Directory of Open Access Journals |
| issn | 2305-6290 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-efe009d4c4ce423aba6dc06e88c23b6d2025-09-26T14:54:44ZengMDPI AGLogistics2305-62902025-07-01939610.3390/logistics9030096Cost Modeling for Pickup and Delivery Outsourcing in CEP Operations: A Multidimensional ApproachErmin Muharemović0Amel Kosovac1Muhamed Begović2Snežana Tadić3Mladen Krstić4Faculty of Traffic and Communications, University of Sarajevo, 71000 Sarajevo, Bosnia and HerzegovinaFaculty of Traffic and Communications, University of Sarajevo, 71000 Sarajevo, Bosnia and HerzegovinaFaculty of Traffic and Communications, University of Sarajevo, 71000 Sarajevo, Bosnia and HerzegovinaFaculty of Transport and Traffic Engineering, University of Belgrade, 11000 Beograd, SerbiaFaculty of Transport and Traffic Engineering, University of Belgrade, 11000 Beograd, Serbia<i>Background</i>: The growth of parcel volumes in urban areas, largely driven by e-commerce, has increased the complexity of pickup and delivery operations. To meet demands for cost efficiency, flexibility, and sustainability, CEP (Courier, Express, and Parcel) operators increasingly outsource segments of their last-mile networks. <i>Methods</i>: This study proposes a novel multidimensional cost model for outsourcing, integrating five key variables: transport unit type (parcel/pallet), service phase (pickup/delivery), vehicle category, powertrain type, and delivery point type. The model applies correction coefficients based on internal operational costs, further adjusted for location and service quality using a bonus/malus mechanism. <i>Results</i>: Each cost component is calculated independently, enabling full transparency and route-level cost tracking. A real-world case study was conducted using operational data from a CEP operator in Bosnia and Herzegovina. The model demonstrated improved accuracy and fairness in cost allocation, with measurable savings of up to 7% compared to existing fixed-price models. <i>Conclusions</i>: The proposed model supports data-driven outsourcing decisions, allows tailored cost structuring based on operational realities, and aligns with sustainable last-mile delivery strategies. It offers a scalable and adaptable tool for CEP operators seeking to enhance cost control and service efficiency in complex urban environments.https://www.mdpi.com/2305-6290/9/3/96multidimensional cost modelingcost allocation modelurban delivery optimizationlast-mile deliverycost transparency |
| spellingShingle | Ermin Muharemović Amel Kosovac Muhamed Begović Snežana Tadić Mladen Krstić Cost Modeling for Pickup and Delivery Outsourcing in CEP Operations: A Multidimensional Approach multidimensional cost modeling cost allocation model urban delivery optimization last-mile delivery cost transparency |
| title | Cost Modeling for Pickup and Delivery Outsourcing in CEP Operations: A Multidimensional Approach |
| title_full | Cost Modeling for Pickup and Delivery Outsourcing in CEP Operations: A Multidimensional Approach |
| title_fullStr | Cost Modeling for Pickup and Delivery Outsourcing in CEP Operations: A Multidimensional Approach |
| title_full_unstemmed | Cost Modeling for Pickup and Delivery Outsourcing in CEP Operations: A Multidimensional Approach |
| title_short | Cost Modeling for Pickup and Delivery Outsourcing in CEP Operations: A Multidimensional Approach |
| title_sort | cost modeling for pickup and delivery outsourcing in cep operations a multidimensional approach |
| topic | multidimensional cost modeling cost allocation model urban delivery optimization last-mile delivery cost transparency |
| url | https://www.mdpi.com/2305-6290/9/3/96 |
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