: Frank Meisel
: Seaside Operations Planning in Container Terminals
: Physica-Verlag
: 9783790821918
: 1
: CHF 87.50
:
: Allgemeines, Lexika
: English
: 168
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF
1. 1 Motivation and Scope of Research Container terminals in seaports constitute interfaces between sea and land tra- port of goods in global transport chains. These logistics facilities face an increasing demandof service capacity,as is re ected by a tremendousgrowthin the worldwide container transshipments per year. For example, the top 20 terminals in the world showed an average relative increase of 14% with respect to the number of handled container units from 2006 to 2007, see Port of Hamburg Marketing (2008). In spite of this development, competition is high among container terminals within the same region. A terminal's customers, rst and foremost the vessel op- ators, expect a high level of service quality where reliability is one of the most importantdimensions,seeWiegma setal. (2001). Regardingtheserviceofavessel, reliability means to realize all transshipment operations within its projected service time interval. The reliability of terminal operations impacts the reliability of v- sels in meeting their liner schedules. According to Notteboom (2006) unexpected waiting times of vessels before berthing and unexpected low transshipment prod- tivity at terminals are responsible for about 86% of liner schedule disturbances, see Fig. 1. 1. Currently, many terminal operators counteract this situation by extending their transshipment capacities. They build new terminals or enlarge existing ter- nals and purchase new or upgrade existing equipment. Ilmer (2005) provides an overview of current projects for building terminal capacity in northern Europe.
Acknowledgments5
Contents6
List of Figures9
List of Tables11
Notations13
Abbreviations16
1 Introduction17
1.1 Motivation and Scope of Research17
1.2 Outline19
2 Maritime Container Transport21
2.1 A Brief History21
2.2 Organization of Container Transports23
2.3 Layout and Technical Equipment of a Container Terminal26
2.3.1 Quay Area and Quay Cranes27
2.3.2 Transport Area and Transport Vehicles28
2.3.3 Yard Area and Yard Cranes30
2.3.4 Truck and Train Area31
3 Operational Planning Problems32
3.1 Distinction of Planning Levels32
3.2 Seaside Operations Planning 3.2.1 Berth Allocation33
3.2.2 Quay Crane Assignment36
3.2.3 Quay Crane Scheduling38
3.2.4 Stowage Planning39
3.3 Internal Operations Planning 3.3.1 Yard Management40
3.3.2 Yard Crane Scheduling41
3.3.3 Horizontal Transport42
3.4 Landside Operations Planning43
3.5 Workforce Planning44
4 RelatedWork on Seaside Operations Planning46
4.1 RelatedWork on the BAP and the QCAP 4.1.1 Classification Scheme46
4.1.2 Problem Classification48
4.2 RelatedWork on the QCSP 4.2.1 Classification Scheme54
4.2.2 Problem Classification55
4.3 Related OR Problems59
5 Integration Concepts for Seaside Operations Planning62
5.1 Sequential Solution62
5.2 Integration Concepts in the Literature65
5.3 Designing a Comprehensive Integration Concept67
6 Berth Allocation and Quay Crane Assignment70
6.1 Modeling the BACAP 6.1.1 Problem Description and Assumptions70
6.1.2 Resource Utilization71
6.1.3 Cost Structure73
6.1.4 OptimizationModel74
6.2 Solution Methods76
6.2.1 Construction Heuristic76
6.2.2 Local Refinements79
6.2.3 Meta-heuristics82
6.2.4 Specific Quay Crane Assignment85
6.3 Computational Study85
6.4 Summary97
7 Quay Crane Scheduling99
7.1 Modeling the QCSP 7.1.1 Problem Description and Assumptions99
7.1.2 Conventional Formulation of Interference Constraints100
7.1.3 Corrected Formulation of Interference Constraints103
7.1.4 OptimizationModel105
7.2 Unidirectional Scheduling Heuristic 7.2.1 Idea and Outline108
7.2.2 Assignment of Tasks to Cranes110
7.2.3 Sequencing of Tasks113
7.2.4 Scheduling of Tasks114
7.3 The QCSP with TimeWindows117
7.3.1 Declaration of Time Windows for Cranes117
7.3.2 OptimizationModel121
7.3.3 Adaptation of the UDS Heuristic121
7.4 Computational Study123
7.5 Summary131
8 Integration of Quay Crane Scheduling into the BACAP133
8.1 Idea and Outline133
8.2 Preprocessing Phase135
8.2.1 Deriving Crane Utilization Rates136
8.2.2 Applying Crane Utilization Rates Within the BACAP138
8.3 Feedback Loop Phase140
8.3.1 Postprocessing of a QCSPTW140
8.3.2 Reinstalling Quay Crane Schedules142
8.3.3 Repairing Infeasible BACAP Solutions145
8.4 Computational Study148
8.5 Summary156
9 Conclusions157
A.1 The Berth Allocation and Crane Assignment Model of Park and Kim ( 2003)160
B.1 Pseudocodes162
C.1 A Lower Bound for the QCSP169
D.1 A Lower Bound for the QCSPTW171
Bibliography172