Stochastic Modeling of the Last Mile Problem for Delivery Fleet Planning

2017 ◽  
Author(s):  
Jay R. Brown ◽  
Alfred L. Guiffrida
Keyword(s):  
Stochastic Representation ◽  
Service Levels ◽  
Fleet Size ◽  
Fleet Planning ◽  
Last Mile ◽  
Payload Capacity ◽  
Transportation Capacity ◽  
Last Mile Delivery ◽  
Alternative Delivery ◽  
Last Mile Problem

This paper presents a stochastic representation of the last mile problem that quantifies expected maintenance, regular labor, overtime labor, fuel, and carbon emission costs resulting from different delivery fleet options. The last mile delivery fleet planning model presented herein can be used in a decision framework to evaluate alternative delivery strategies involving fleet size and delivery frequency with information regarding cost, carbon emissions, service levels for available delivery hours, and payload capacity, as well as the transportation capacity needed to meet customer demand and lends itself well to performing what-if analyses.

scholarly journals Multimodal Automated Last-Mile Delivery System: Design and Application

2021 ◽  
Author(s):  
Farah Samouh
Keyword(s):  
Delivery System ◽  
Hybrid System ◽  
Urban Areas ◽  
Food Delivery ◽  
Efficient System ◽  
Fleet Size ◽  
Agent Based ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Two Hybrid

This thesis focuses on exploring the emerging automated technologies for last-mile on-demand food delivery as a new means of transportation to reduce congestion in urban areas. In order to achieve that 4 systems are designed and evaluated: Robot delivery system, drone delivery system and two hybrid delivery systems. Both hybrid systems are based on hub-spoke networks, Hybrid System 1.0 uses robots for phase one of the delivery and drones for phase two Hybrid System 2.0 uses drones for phase one and robots for phase two. To evaluate the efficiency of these systems, an in-house agent-based simulation model in MATLAB is developed for the City of Mississauga. 30 scenarios are tested differing in terms of demand and fleet size. The results show that Hybrid system 2.0 is the most efficient system of all four proposed due to the use of hub, customer waiting time and landing zones for drones.

scholarly journals Last-mile delivery concepts: a survey from an operational research perspective

OR Spectrum ◽  
2020 ◽  
Author(s):  
Nils Boysen ◽  
Stefan Fedtke ◽  
Stefan Schwerdfeger
Keyword(s):  
Urban Areas ◽  
Health Impact ◽  
Decision Problems ◽  
Future Research ◽  
Research Perspective ◽  
Commercial Activities ◽  
Last Mile ◽  
Last Mile Delivery ◽  
The City ◽  
Alternative Delivery

Abstract In the wake of e-commerce and its successful diffusion in most commercial activities, last-mile distribution causes more and more trouble in urban areas all around the globe. Growing parcel volumes to be delivered toward customer homes increase the number of delivery vans entering the city centers and thus add to congestion, pollution, and negative health impact. Therefore, it is anything but surprising that in recent years many novel delivery concepts on the last mile have been innovated. Among the most prominent are unmanned aerial vehicles (drones) and autonomous delivery robots taking over parcel delivery. This paper surveys established and novel last-mile concepts and puts special emphasis on the decision problems to be solved when setting up and operating each concept. To do so, we systematically record the alternative delivery concepts in a compact notation scheme, discuss the most important decision problems, and survey existing research on operations research methods solving these problems. Furthermore, we elaborate promising future research avenues.

scholarly journals Multimodal Automated Last-Mile Delivery System: Design and Application

2021 ◽  
Author(s):  
Farah Samouh
Keyword(s):  
Delivery System ◽  
Hybrid System ◽  
Urban Areas ◽  
Food Delivery ◽  
Efficient System ◽  
Fleet Size ◽  
Agent Based ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Two Hybrid

This thesis focuses on exploring the emerging automated technologies for last-mile on-demand food delivery as a new means of transportation to reduce congestion in urban areas. In order to achieve that 4 systems are designed and evaluated: Robot delivery system, drone delivery system and two hybrid delivery systems. Both hybrid systems are based on hub-spoke networks, Hybrid System 1.0 uses robots for phase one of the delivery and drones for phase two Hybrid System 2.0 uses drones for phase one and robots for phase two. To evaluate the efficiency of these systems, an in-house agent-based simulation model in MATLAB is developed for the City of Mississauga. 30 scenarios are tested differing in terms of demand and fleet size. The results show that Hybrid system 2.0 is the most efficient system of all four proposed due to the use of hub, customer waiting time and landing zones for drones.

scholarly journals Measuring Disruptions in Last-Mile Delivery Operations

Logistics ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 17
Author(s):  
Andrés Muñoz-Villamizar ◽  
Elyn L. Solano-Charris ◽  
Lorena Reyes-Rubiano ◽  
Javier Faulin
Keyword(s):  
Real Data ◽  
Application Programming Interface ◽  
Transportation Systems ◽  
Service Levels ◽  
Key Stakeholders ◽  
Last Mile ◽  
Development Plans ◽  
Application Programming ◽  
Last Mile Delivery ◽  
The Impact

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.

G202(P) From amazon prime to theatre prime: the last mile delivery

2019 ◽  
Author(s):  
A Verma ◽  
D Thakkar ◽  
G Fox ◽  
A Milan
Keyword(s):  
Last Mile ◽  
Last Mile Delivery

Hybrid last mile delivery fleets with crowdsourcing: A systems view of managing the cost‐service trade‐off

2021 ◽  
Author(s):  
Vincent E. Castillo ◽  
John E. Bell ◽  
Diane A. Mollenkopf ◽  
Theodore P. Stank
Keyword(s):  
Service Trade ◽  
Trade Off ◽  
Last Mile ◽  
The Cost ◽  
Last Mile Delivery ◽  
Systems View

A covering traveling salesman problem with profit in the last mile delivery

2021 ◽  
Author(s):  
Li Jiang ◽  
Xiaoning Zang ◽  
Junfeng Dong ◽  
Changyong Liang
Keyword(s):  
Traveling Salesman Problem ◽  
Traveling Salesman ◽  
Last Mile ◽  
Last Mile Delivery

scholarly journals Unmanned Aerial Vehicle Last-Mile Delivery Considering Backhauls

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ahram Jeon ◽  
Joohang Kang ◽  
Byungil Choi ◽  
Nakyung Kim ◽  
Joonyup Eun ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Last Mile ◽  
Aerial Vehicle ◽  
Last Mile Delivery
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