With continuous improvements in people's consumption levels, consumers' demands for
safe and fresh agricultural products increase. The increase in the number of vehicles and …

With the development of intelligent transportation systems (ITSs), personalized driving
systems are receiving more and more attention, and the development of advanced systems …

One of the essential factors of project success is selecting the proper delivery method. This
study aimed to provide a new hybrid decision-making framework to assist project …

Nowadays, logistics is used to assess economic growth and address energy consumption
and environmental problems. Optimizing collection and delivery routes reduces fuel …

In numerous location-based applications, such as the vehicular routing problem, driving
distances play a crucial role. However, these driving distances often differ from the direct …

The original Chimp Optimization Algorithm has disadvantages such as slow convergence,
the tendency to fall into local optima, and low accuracy in finding the best. To alleviate the …

Queue length is an important parameter for traffic-signal priority systems for emergency
vehicles. Instead of using conventional detector data, this paper investigates the feasibility of …

In this study, we delve into the intricacies of the vehicle routing problem, focusing on
optimizing the delivery process for suppliers reaching their customers. The primary objective …

This research employs the Lean Six Sigma DMAIC methodology to address enhancing
product distribution efficiency in a bakery chain. Following the diagnostic phase, demand …

Queue length is an important parameter for traffic-signal priority systems for emergency
vehicles. Instead of using conventional detector data, this paper investigates the feasibility of …