Template-Type: ReDIF-Paper 1.0
Author-Name: Roy, D.
Author-Name-Last: Roy
Author-Name-First: Debjit
Author-Name: de Koster, M.B.M.
Author-Name-Last: de Koster
Author-Name-First: René
Title: Stochastic Modeling of Unloading and Loading Operations at a Container Terminal using Automated Lifting Vehicles
Abstract: With growing worldwide trade, container terminals have grown in number and size. Many
 new terminals are now automated to increase operational efficiency. The key focus is on
 improving seaside processes, where a distinction can be made between single quay crane
 operations (all quay cranes are either loading or unloading containers) and overlapping
 quay crane operations (some quay cranes are loading while others are unloading containers).
 From existing studies, it is not clear if the design insights obtained from analyzing single
 operations, such as optimal stack layout, are consistent with the insights obtained from
 analyzing overlapping operations. In this paper, we develop new integrated stochastic models for analyzing the performance of overlapping loading and unloading operations that capture the complex stochastic interactions among quayside, vehicle, and stackside processes. Using these integrated models, we are able to show that that there are stack layout configurations that are robust for both single (either loading or unloading) and for overlapping (both loading and unloading) operations.
Length: 48
Creation-Date: 2015-04-10
File-URL: https://repub.eur.nl/pub/78033/ERS-2015-005-LIS.pdf
File-Format: application/pdf
Series: RePEc:ems:eureri
Number: ERS-2015-005-LIS
Keywords: logistics, queuing, transportation, uncertainty modelling
Handle: RePEc:ems:eureri:78033