The cumulative resource constraints of the resource-constrained project scheduling problem (RCPSP) do not treat the resource demands as geometric rectangles, that is, activities are not necessarily assigned to the same resource units over their processing times. In spite of this fact, most papers on resource-constrained project scheduling mainly in the motivation phase use a strip packing of re...

This paper investigates the implementation of two types of scheduling algorithm to obtain the best performances of the Single Cart Gantry Crane System (GCS). In this research, Deadline Monotonic Priority Assignment (DMPA) and Earliest Deadline First (EDF) scheduling algorithm are chosen to be implemented. The main ideas of this approach is to find the schedule that more compatible and provide m...

We describe a heuristic algorithm for scheduling the movement of multiple factory cranes mounted on a common track. The cranes must complete a sequence of tasks at locations along the track without crossing paths, while adhering as closely as possible to a factory production schedule. The algorithm creates a decision tree of possible states of the crane system, which evolves over time as tasks ...

Workers in ports work with and close proximity of heavy machinery. Quay cranes used for moving containers between ships the dockside yard are one most accident-prone equipment types. For picking up containers, these equipped spreaders, i.e. lifting devices which lowered down on top lock to them mechanically. We concerned here monitoring a quay crane spreader so as make sure that safe clearance ...

In scheduling the transmission of messages in a WDM network, we are facing not only the channel assignment problem but also message sequencing problem In this paper, we propose and evaluate a new reservationbased message scheduling algorithm for single-hop, WDM passive star lightwave network which addresses both the assignment aspect and the sequencing aspect of the problem. We compare the perf...

Effective control and operation of handling equipment in port container terminals are crucial in enhancing the overall efficiency and performance of container handling in import, export and transshipment. Nowadays, more and more container terminals are deploying automated handling equipment to improve the overall productivity. As the equipment is often unmanned and automatically controlled, it ...

Abstract Aiming at the crane scheduling problem for uncertainty tasks in multi-crane situation, this article proposes a deep reinforcement learning-based modeling method that is not dependent on mathematical planning and has certain generality. First, process integrated into learning framework which orbit space of transportation task environmental information intelligent agent. Second, interact...

Maritime transportation plays a critical role in global trade as it accounts for over 80% of all merchandise movement. Given the growing volume maritime freight, is vital to have an efficient system handling ships and cargos at ports. The current first-come-first-serve method insufficient maintaining operational efficiency, especially under complicated conditions such parallel scheduling with d...

It is with the aim of solving scheduling problems with irregular cost functions that this paper focuses on the continuous assignment problem. It consists in partitioning a region of R into subregions of prescribed volumes so that the total cost is minimized. The dual problem of the continuous assignment problem is an unconstrained maximisation of a non-smooth concave function. The preemptive va...