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EN
The aim of this paper is to design a methodological procedure for determining the costs of companies in the process of travelling the last mile in the context of changing the business model. At present, traditional services such as delivery by post or by courier to a particular consumer’s place of residence are still used to deliver consignments to consumers. In recent years, however, new delivery methods have begun to be used, such as ParcelShops, lockers located at specific locations, or dispensing points where the consumer comes to pick up the shipment. In order for each of these methods of delivering goods to consumers to work as efficiently as possible, it is necessary to incur certain costs. The results of this paper contain a mathematical relationship for calculating the total costs that a postal company has to incur in order to deliver goods to consumers within the last mile using the available delivery options.
EN
This study aims to design vehicle routes based on cost minimisation and the minimisation of greenhouse gasses (GHG) emissions to help companies solve the vehicle routing problem with pickup and delivery (VRPPD) via particle swarm optimisation (PSO). An effective metaheuristics search technique called particle swarm optimisation (PSO) was applied to design the optimal route for these problems. Simulated data from Li and Lim (2001) were used to evaluate the PSO performance for solving green vehicle routing problems with pickup and delivery (Green VRPPD). The findings suggest that green vehicle routing problems with pickup and delivery should be used when distributing products to customers living in a specific area called a cluster. However, the design of vehicle routes by Green VRPPD costs more when used to distribute products to customers living randomly in a coverage service area. When logistics providers decide to use Green VRPPD instead of VRPPD, they need to be concerned about possible higher costs if an increase in the number of vehicles is needed. PSO has been confirmed for solving VRPPD effectively. The study compared the results based on the use of two different objective functions with fuel consumption from diesel and liquefied petroleum gas (LPG). It indicates that solving VRPPD by considering the emissions of direct greenhouse gases as an objective function provides cleaner routes, rather than considering total cost as the objective function for all test cases. However, as Green VRPPD requires more vehicles and longer travel distances, this requires a greater total cost than considering the total cost as the objective function. Considering the types of fuels used, it is obvious that LPG is more environmentally friendly than diesel by up to 53.61 %. This paper should be of interest to a broad readership, including those concerned with vehicle routing problems, transportation, logistics, and environmental management. The findings suggest that green vehicle routing problems with pickup and delivery should be used when distributing products to a cluster. However, the design of vehicle routes by Green VRPPD costs more when used to distribute products to customers living randomly in a coverage service area. When logistics providers decide to use Green VRPPD instead of VRPPD, they need to be concerned about possible higher costs if an increase in the number of vehicles is needed.
EN
This article reviews the major agents of change that are currently trending in transportation and logistics. Electrification is one of these trends as not only passenger vehicles, but also commercial vehicles seek both economic and sustainability objectives in its adoption. Information technology is another agent of change that is enabling technologies such as autonomous driving, blockchain solutions, and in-home delivery. One surprising global trend is the rise of nationalism and the resulting slow-down in momentum in global trade barrier reductions. This geo-political turbulence and the uncertainty it brings will require future supply chains to consider greater elements of flexibility in supply chain design.
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