In this paper, we propose a general model for various scheduling problems that occur in container terminal logistics. The scheduling model consists of the assignment of jobs to resources and the temporal arrangement of the jobs subject to precedence constraints and sequence-dependent setup...

This paper introduces an approach for generating scenarios of sea port container terminals. A scenario consists of arrivals of deep sea vessels, feeder ships, trains, and trucks together with lists of containers to be loaded and unloaded. Moreover, container attributes such as size, empty,...

We consider the classical resource-constrained project scheduling problem (RCPSP). The paper gives a detailed algorithmic description and provides theoretical results on two widely known problem specific heuristics: The serial and the parallel scheduling scheme. An in-depth computational study...

We review the well-known RSM priority rule to solve the resource constrained project scheduling problem. A detailed analysis of this rule reveals that it is based on assumptions which do not hold in general and hence might lead to poor solutions. Consequently, an improved RSM priority rule is...

This paper introduces an approach for generating scenarios of sea port container terminals. A scenario consists of arrivals of deep sea vessels, feeder ships, trains, and trucks together with lists of containers to be loaded and unloaded. Moreover, container attributes such as size, empty,...

In this paper, we propose a general model for various scheduling problems that occur in container terminal logistics. The scheduling model consists of the assignment of jobs to resources and the temporal arrangement of the jobs subject to precedence constraints and sequence-dependent setup...

This paper deals with automated guided vehicles (AGVs) which transport containers between the quai and the stack on automated container terminals. The focus is on the assigment of transportation jobs to AGVs within a terminal control system operating in real time. First, we describe a rather...