Design of a Mixed Channel Under the BOPS Methodology Approach with Distribution Modeling Using VRP in Cochabamba, Bolivia

Authors

  • Evelyn Clara Agreda Terrazas Centro de Operaciones Logísticas, Universidad Privada Boliviana
  • Javier Donaldo Padilla Castillo Centro de Operaciones Logísticas, Universidad Privada Boliviana
  • Agatha Da Silva Ovando Centro de Operaciones Logísticas, Universidad Privada Boliviana

DOI:

https://doi.org/10.21678/jb.2025.2579

Keywords:

Fresh food, Buy online, pick up in store, Vehicle Routing Problem, Mixed channels

Abstract

This paper presents the design of a mixed channel to establish a direct connection between fresh food producers and various consumer markets in the department of Cochabamba, Bolivia. The general objective of this initiative is to design a mixed channel for the reception and delivery of fresh food, considering the demand from households and the HORECA sector (Hotels, Restaurants, Cafés) in the city. To achieve this, data collection was conducted through interviews and surveys, taking into account producers, intermediaries, and consumers (households and the HORECA sector). In the channel design, the distribution points were located in the central and northern zones, along with a storage and distribution center.

For the distribution model design, mixed options were considered. The Buy Online and Pick Up in Store (BOPS) algorithm will model the connection between producers and convenience points in the city. Additionally, a heuristic algorithm for the Vehicle Routing Problem (VRP) will be employed to define optimal delivery routes to the HORECA channel and pickup points for households. This will establish a direct distribution channel for fruits and vegetables, considering not only the processes within the collection center but also determining the most efficient delivery routes based on consumer needs.

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References

Acosta, A. L. (2017). Canales de distribución. Bogotá, Colombia: Fundación Universitaria del Área Andina.

Acosta-Agudelo, M. M., Giraldo, D. P., Vélez-Acosta, L. M., & Fernández Ledesma, J. (2021). Análisis del papel de los intermediarios en el mercado agrícola tradicional: caso de estudio Antioquia, Colombia. Revista Lasallista de Investigación, 18(1), 7-24. https://doi.org/10.22507/rli.v18n1a1

Blanco-Capia, L. E. (2021). La cadena de valor de hortalizas: consideraciones para el desarrollo local a partir del productor. Journal of the Selva Andina Biosphere, 9(1), 41-52. https://doi.org/10.36610/j.jsab.2021.090100041

Dantzig, G. B., & Ramser, J. H. (1959). The truck dispatching problem. Management Science, 6(1), 80-91.

Dubé, L., McRae, C., Wu, Y. H., Ghosh, S., Allen, S., Ross, D., Ray, S., Joshi, P. K., McDermott, J., Jha, S., & Moore, S. (2020). Impact of the eKutir ICT-enabled social enterprise and its distributed micro-entrepreneur strategy on fruit and vegetable consumption: A quasiexperimental study in rural and urban communities in Odisha, India. Food Policy, 90, 101787. https://doi.org/10.1016/J.FOODPOL.2019.101787

Enjolras, G., Aubert, M., & Aubert, M. (2020). Short food supply chains and the issue of sustainability: A case study of French fruit producers. International Journal of Retail & Distribution Management, 46(3).

Environmental Systems Research Institute. (2022). ArcGIS Pro. https://www.esri.com/enus/arcgis/products/arcgis-pro/resources

FAO (Organización de las Naciones Unidas para la Alimentación y la Agricultura). (2020). El estado mundial de la agricultura y la alimentación. En El estado mundial de la agricultura y la alimentación 2020. https://doi.org/10.4060/cb1447es

Frutas Feas. (2020). ¿Frutas feas? El sabor está en el interior. https://www.frutasfeas.com/frutasfeas-cms-4-50-49/

Fundación E. (2001). ¿Cómo calcular tu porcentaje de participación de mercado? Emprendedor. https://emprendedor.com/como-calcular-tu-participacion-de-mercado-y-punto-de-equilibrio/

Haimes, Y. Y. (1971). Hierarchical analysis of water resources systems: Modeling and optimization of large-scale systems. McGraw-Hill.

Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Springer.

Jin, Y., Ge, X., Zhang, L., & Ren, J. (2022). A two-stage algorithm for bi-objective logistics model of cash-in-transit vehicle routing problems with economic and environmental optimization based on real-time traffic data. Journal of Industrial Information Integration, 26, 100273. https://doi.org/10.1016/j.jii.2021.100273

Kneafsey, M. et al. (2013). Short food supply chains and local food systems in the EU. A state of play of their socio-economic characteristics. JRC Scientific and Policy Reports.

Laumanns, M., Thiele, L., & Zitzler, E. (2006). An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method. European Journal of Operational Research, 169(3), 932-942. https://doi.org/10.1016/j.ejor.2004.08.029

Li, Z., Li, S., & Mei, W. (2023). Buy online and pickup in‑store: Co-opetition strategy of omnichannel supply chain. Electronic Commerce Research, 25, 369-417. https://doi.org/10.1007/s10660-023-09693-6

Los Tiempos. (2020, 29 de septiembre). Miden la abundancia y pobreza extrema por el desperdicio de alimentos. Los Tiempos. https://www.lostiempos.com/doble-click/vida/20200929/miden-abundancia-pobreza-extrema-desperdicio-alimentos

Lüer, A., Benavente, M., Bustos, J., & Venegas, B. (2009). El problema de rutas de vehículos: extensiones y métodos de resolución estado del arte. En Workshop Internacional EIG 2009 – Actas 3.er Encuentro Informatica y Gestion. CEUR Workshop Proceedings Vol. 558.

Mukerji, M. (2020). Re-examining strategic and developmental implications of e-Choupal, India. The Electronic Journal of Information Systems in Developing Countries, 86(4), e12132. https://doi.org/10.1002/ISD2.12132

Opinión. (2017, 30 de septiembre). La Llajta lidera la producción de fruta en Bolivia con 36%. Opinión. https://www.opinion.com.bo/articulo/cochabamba/llajta-lidera-producci-oacute-n-frutabolivia-36-ciento/20170930205700591438.html

Sabar, N. R., Bhaskar, A., Chung, E., Turky, A., & Song, A. (2019). A self-adaptive evolutionary algorithm for dynamic vehicle routing problems with traffic congestion. Swarm and Evolutionary Computation, 44, 1018-1027. https://doi.org/10.1016/J.SWEVO.2018.10.015

SIIP (Sistema Integrado de Información Productiva). (2000). Sitap, base de datos. https://siip.produccion.gob.bo/atlas/COCHABAMBA.php?cod_mun=31201

Singanamala, P., Dharma Reddy, K., & Venkataramaiah, P. (2018). Solution to a multi-depot vehicle routing problem using K-means algorithm, Clarke and Wright Algorithm and Ant Colony Optimization. International Journal of Applied Engineering Research, 13(21), 15236-15246. http://www.ripublication.com

Solanki, S., & Inumula, K. M. (2021). Farmers’ markets: An analysis of the determinants of consumers’ attitudes and behavior. Asian Journal of Agriculture and Rural Development, 11(1), 63-70. https://doi.org/10.18488/journal.ajard.2021.111.63.70

Sutradhar, R., & Das, A. (2020). Supermarkets and rural inequality in India: A case study of reliance fresh. International Journal of Rural Management, 16(1), 81-104. https://doi.org/10.1177/0973005219898918

Wilim, N. N., & Oetama, R. S. (2021). Sentiment analysis about Indonesian Lawyers Club Television program using K-Nearest Neighbor, Naïve Bayes Classifier, and Decision Tree. International Journal of New Media Technology, 8(1), 50-56.

Yadav, V. S., Singh, A. R., Raut, R. D., & Cheikhrouhou, N. (2021). Design of multi-objective sustainable food distribution network in the Indian context with multiple delivery channels. Computers and Industrial Engineering, 160. https://doi.org/10.1016/j.cie.2021.107549

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Published

2025-07-31

How to Cite

Design of a Mixed Channel Under the BOPS Methodology Approach with Distribution Modeling Using VRP in Cochabamba, Bolivia . (2025). Journal of Business, Universidad Del Pacífico (Lima, Peru), 16(2). https://doi.org/10.21678/jb.2025.2579