Recognizing that allowing variability in scheduled flight departure times can result in improved flight connection opportunities and a more cost effective fleet assignment, we present a generalized fleet assignment model for simultaneously assigning aircraft types to flights and scheduling flight departures. Our model, a simple variant of basic fleet assignment models, assigns a time window to ...

Maritime intermodal container terminals (CTs) are complex hub systems in which multiple transport modes receive and distribute freight to various destinations. They can be considered as interchange places in a transport system network where seaways, railways, and motorways intersect. Freight is usually organized, transported, stacked, handled and delivered in standard units of a typical contain...

Addressing an integrated decision-making structure for planting and harvesting scheduling may lead to more realistic, accurate, and efficient decision in fresh product supply chain. This study aims to develop an integrated bi-objective tactical and operational planning model for producing and distributing fresh crops. The first objective of the model is to maximize total revenue of supply chain...

In this paper, we study the impact of using a new intelligent vehicle technology on the performance and total cost of a European port, in comparison with existing vehicle systems like trucks. Intelligent autonomous vehicles (IAVs) are a new type of automated guided vehicles (AGVs) with better maneuverability and a special ability to pick up/drop off containers by themselves. To identify the mos...

This paper studies the Majorcan shipping fleet renovation using privateering to incorporate ships by force for an approximation naval technological frontier. Corsair predation provided required this process. The development of a small merchant and corsair benefited also from reinvestments certain seafarers merchants in shipowning, after observing business opportunities that war created.

RMC (Ready-mixed concrete) vehicle scheduling problem is a complex combinatorial optimization problem with intersection of several research areas, such as logistics, just-in-time production and supply chains etc. We integrates RMC production scheduling and vehicle dispatch problems in the same framework by network flow techniques and establishes a mixed integer programming model for ready-mixed...

time-dependent vehicle routing problem is one of the most applicable but least-studied variants of routing and scheduling problems. in this paper, a novel mathematical formulation of time-dependent vehicle routing problems with heterogeneous fleet, hard time widows and multiple depots, is proposed. to deal with the traffic congestions, we also considered that the vehicles are not forced to come...

Electric vehicles (EVs) are becoming increasingly popular in ride-hailing services, but their slow charging speed negatively affects service efficiency. To address this challenge, we propose PROLIFIC, a deep reinforcement learning-based approach for efficient EV scheduling and services. The objective of PROLIFIC is to minimize passenger waiting time cost. formulates the problem as Markov decisi...

The application of multi-agent platform for real-time adaptive scheduling of trucks is considered. In case of unpredictable events the system works adaptively and doesn’t stop to restart the plan from the beginning. Different models of cargo transportation for truck companies having own fleet are analysed. The results show that using adaptive scheduling in real time it is possible to create sig...