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Article

Measuring Disruptions in Last-Mile Delivery Operations

1
International School of Economic and Administrative Sciences, Universidad de La Sabana, 140013 Chía, Colombia
2
Department of Statistics, Computer Science, and Mathematics, Institute of Smart Cities, Public University of Navarra, 31006 Pamplona, Spain
*
Author to whom correspondence should be addressed.
Received: 19 February 2021 / Revised: 27 February 2021 / Accepted: 8 March 2021 / Published: 15 March 2021
(This article belongs to the Section Last Mile, E-Commerce and Sales Logistics)
The rapid growth of urbanisation and e-commerce has increased the number of home deliveries that need to be made in retail operations. Consequently, there is also an increase in unexpected incidents, such as adverse traffic, unavailability of parking space, and vehicle breakdowns. These disruptions result in delays, higher costs, and lower service levels in the last-mile delivery operation. Motivated by free, innovative, and efficient tools, such as the Google application programming interface (API) and Google OR, we built a model to measure the impact of disruptions in the last-mile delivery operation. Our model considers customers’ geographic information, speed estimation between nodes, routing optimisation, and disruption evaluation. Disruptions are considered here as external factors such as accidents and road works that imply the closure of or slow access to certain roads. Computational experiments, based on a set of real data from three different cities around the world, which contrast in size and characteristics (i.e., Boston, US; Bogotá, Colombia; and Pamplona, Spain), were conducted to validate our approach. The tests consider 50 different instances of up to 100 customers per city and analyse the impact of disruptions in terms of travelled time and distance. Our results provide managerial insights for key stakeholders (i.e., carriers, consumers, and government) to define policies and development plans that improve the resilience and capabilities of cities’ transportation systems. View Full-Text
Keywords: last-mile delivery; disruptions; Google API; Google OR last-mile delivery; disruptions; Google API; Google OR
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MDPI and ACS Style

Muñoz-Villamizar, A.; Solano-Charris, E.L.; Reyes-Rubiano, L.; Faulin, J. Measuring Disruptions in Last-Mile Delivery Operations. Logistics 2021, 5, 17. https://0-doi-org.brum.beds.ac.uk/10.3390/logistics5010017

AMA Style

Muñoz-Villamizar A, Solano-Charris EL, Reyes-Rubiano L, Faulin J. Measuring Disruptions in Last-Mile Delivery Operations. Logistics. 2021; 5(1):17. https://0-doi-org.brum.beds.ac.uk/10.3390/logistics5010017

Chicago/Turabian Style

Muñoz-Villamizar, Andrés, Elyn L. Solano-Charris, Lorena Reyes-Rubiano, and Javier Faulin. 2021. "Measuring Disruptions in Last-Mile Delivery Operations" Logistics 5, no. 1: 17. https://0-doi-org.brum.beds.ac.uk/10.3390/logistics5010017

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