Measuring Disruptions in Last-Mile Delivery Operations

Andrés Muñoz-Villamizar, Elyn L. Solano-Charris, Lorena Reyes-Rubiano and Javier Faulin
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Andrés Muñoz-Villamizar: International School of Economic and Administrative Sciences, Universidad de La Sabana, 140013 Chía, Colombia
Elyn L. Solano-Charris: International School of Economic and Administrative Sciences, Universidad de La Sabana, 140013 Chía, Colombia
Lorena Reyes-Rubiano: International School of Economic and Administrative Sciences, Universidad de La Sabana, 140013 Chía, Colombia
Javier Faulin: Department of Statistics, Computer Science, and Mathematics, Institute of Smart Cities, Public University of Navarra, 31006 Pamplona, Spain

Logistics, 2021, vol. 5, issue 1, 1-9

Abstract: 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.

Keywords: last-mile delivery; disruptions; Google API; Google OR (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2021
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