Titlebook: Dynamics in Logistics; Proceedings of the 7 Michael Freitag,Hans-Dietrich Haasis,Jürgen Pannek Conference proceedings 2020 The Editor(s) (i

Hiatus

脫離

On the Influence of Structural Complexity on Autonomously Controlled Automobile Terminal Processesutonomous control concepts already showed promising results regarding the terminals logistics performance. Especially, in highly dynamic and complex settings autonomous control copes better with undesired dynamics than conventional yard planning approaches. In this regard, this paper focuses on the

遵循的規(guī)范

adumbrate

翻布尋找

Investigation of Vessel Waiting Times Using AIS Datalogies to understand and track vessel movements. This publication focuses on analysing vessels’ waiting times for berth at anchoring places near ports using the example of the port of Rotterdam, Europe’s biggest port. The objective is to define clearly the concept of waiting, i.e. when a vessel wait

ticlopidine

Indent

NEX

Expansion Planning at Container Terminalst competitive prices. Hence, with changing logistics network structures, higher expected service standards, and increasing transportation demands, container terminals continuously need modification. When resources at a terminal get scarce, an expansion provides additional space, e.g. to improve supe

SLUMP

A Hybrid Robust-Stochastic Optimization Approach for the Noise Pollution Routing Problem with a Hete of health risks. The pollution routing problem (PRP) is an extension of the vehicle routing problem (VRP) which considers greenhouse gas emission in addition to the travel time, cost, and delivery constraints. Another environmental impact of vehicles, especially in urban areas is noise emission whi

毗鄰

The Influence of Cognitive Biases on Supply Chain Risk Management in the Context of Digitalization P all industries. An effective supply chain risk management (SCRM) requires human decision-making in all phases, especially when it comes to manage the risks of digital applications. However, researchers in various disciplines showed that human decisions are often biased and hence not fully rational