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Index Volker Bertram 5 Towards Intelligent Simulation-based Ship Design Marco Ferrando, Andrea Lommi, Antonio Traverso 17 Use of Genetic Algorithms in Propeller Foil Design Jörn Hinnenthal 1 , Stefan Harries 27 A Systematic Study on Posing and Solving the Problem of Pareto Optimal Ship Routing Otto Millbourn 36 Concurrent Engineering through the Supply Chain from Ship Owner to Supplier Hans Wuttke, Andreas Schwill, Frank Domeyer 42 An E-Commerce Platform for Engineering Services in Shipbuilding Tobias Haack, Stefan Krüger 52 Propulsion Plant Models for Nautical Manoeuvre Simulations Lawrence Henesey 2 , Paul Davidsson, Jan A. Persson 61 Using Simulation in Evaluating Berth Allocation at a Container Terminal Eberhard Blümel, Leonid Novitski 73 Introduction to BALTPORTS-IT: Applications of Simulation and IT-Solutions in the Baltic Port Areas Peter Weiss 1 , Yann Le Page, Frédéric Schom, Alain Fidani 81 Robot Applications in the Field of Shipbuilding Vedeesh Sahajpal 86 An intelligent GA based AIS FATDMA scheduler Jonathan M. Ross 98 A Practical Approach for Ship Construction Cost Estimating Robert Bronsart, Steffen Gau, Diane Luckau, Wolfgang Sucharowski 111 Communication in ship design networks Torsten Fischer, Hermann Gehring 122 A Multi-Agent based Approach for Solving the Vehicle Transshipment Problem Meelis Mäesalu, Jerzy Matusiak 131 Visualisation of Ship Motions in Waves and during Grounding for Simulators Peter Weiss 1 , Fivos Andritsos, Frédéric Schom, Alain Fidani 140 Innovative Robotic Solutions for the Survey and Certification of Ships and Mobile Offshore Units Yuichi Sasaki, Hiroyuki Yamato, Shoichi Enomoto 148 Research on Industrial Engineering System by using Wearable PC 1 Partially supported by SENER 2 Partially sponsored by Tribon Solutions 2
Patrick Hupe, Uwe Langbecker, Mubashir Aziz, Joachim W. Schmidt 154 Mobile and Web-based Services for Ship Operation and Survey:A Portal-centric Approach Jan Henrik Weychardt, Berend Bohlmann 165 FEM Supported Alignment of Power Train Components Evangelos K. Boulougouris, Apostolos D. Papanikolaou 175 Optimisation of the Survivability of Naval Ships by Genetic Algorithms Jan Jaap Nieuwenhuis, Ubald Nienhuis 190 Knowledge and Data Reuse in Ship System Design and Engineering Zbigniew Pietrzykowski, Janusz Uriasz 204 The Ship Domain in a Deep-Sea Area Bastiaan Veelo 2 212 Shape Modification of Hull Models in H-rep Sipke Vijver 1 , Hotze Boonstra, Herbert J. Koelman, Erwin D. Stinstra 223 Applying Meta-Models to the Probabilistic Damage Stability Hugo Grimmelius, Douwe Stapersma, Paul Schulten 236 Ship Propulsion Control: A Fresh View Desmond Simpson, Ludwig Furstenberg 252 Distributing Operational Simulation Systems across South African Ports Jenny Coenen, Martin van Hees, Ubald Nienhuis 263 Knowledge-based Concurrent Engineering in One-off Ship Design Jean-Yves Pradillon 278 ODIGO - Modelling and Simulating Crowd Movement onboard Ships Uwe Langbecker, Ricardo Pereira 290 UTHLANDE – An Extensible Platform for Hydromechanic Calculation Modules Patrick Queutey, Michel Visonneau 300 Three-dimensional CFD Simulations Using a Free-Surface Capturing Strategy Manuel Armada, Pablo González de Santos, Manuel Prieto, Elena García, Teodor Akinfiev Roemi Fernández, Hector Montes, Samir Nabulsi, Luis Pedraza, Roberto Ponticelli, Javier Sarriá, Joaquín Estremera 315 State of the art in climbing and walking robots Antonio Pinto, Daniele Peri, Emilio F. Campana 322 Global Optimization Algorithms in Naval Hydrodynamics Virgil Mutu, Ovidiu Ionas 334 Computer Applications and Technologies at Ship Design Group Galati Bekir S. Türkmen 2 , Osman Turan 340 An Application Study of Multi-Agent Systems in Multi-Criteria Ship Design Optimisation 3
Page 1: 3 rd International Conference on Co
Page 5 and 6: Towards Intelligent Simulation-Base
Page 7 and 8: ectly damage in terms of greenhouse
Page 9 and 10: Fig.7: FEA of a catamaran made of c
Page 11 and 12: Set the small parts fixing the part
Page 13 and 14: main benefit of 3-d design lies in
Page 15 and 16: Applic. Mar. Industries, COMPIT, Ha
Page 17 and 18: Use of Genetic Algorithms in Propel
Page 19 and 20: 3. Fitness Function Formulation The
Page 21 and 22: where µ α and µ θ are the chose
Page 23 and 24: From another point of view and unde
Page 25 and 26: Y X Benchmark First Optimum Fig.8:
Page 27 and 28: A Systematic Study on Posing and So
Page 29 and 30: expressed as functions of the wave
Page 31 and 32: 4.4. Optimization with modeFRONTIER
Page 33 and 34: Fig.5: SIMPLEX optimization and Par
Page 35 and 36: References HOFFSCHILDT, M.; BIDLOT,
Page 37 and 38: 2.2. Tribon Product Information Mod
Page 39 and 40: 3. New Process The new process is b
Page 41 and 42: 4. Conclusions and next step The ne
Page 43 and 44: 2. E-Commerce of goods versus servi
Page 45 and 46: Main steps on ePING’s road-map ar
Page 47 and 48: anon. client new client registered
Page 49 and 50: Preparing an offer can be hierarchi
Page 51 and 52: Acknowledgment This work was partia
Page 53 and 54:
The focus within this paper is the
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conditions have to be prevented. Fo
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Ship 2 LPP 182.390 m B 26.00 m T D
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Fig.9: Ship 1; Simulated Crash stop
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Using Simulation in Evaluating Bert
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ship. To shorten the time spent by
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travelled by each SC are totalled t
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around time is the highest against
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to alternative berths instead of pl
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Appendix 1: Data Collected from Con
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Abstract Introduction to BALTPORTS-
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- at the level of operational plann
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- External interoperability - In ad
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5. Setting up of the Baltic Sub-Reg
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Robot Applications in the Field of
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Fig.3: The main components of the D
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The precision of the process depend
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The frame is further divided into 2
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1. Periodicity on the time line, pe
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Quality measures. Let J be the inst
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6.2 Mutation A random number out of
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7.1 Adaptation of Theorem 2 in our
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8. Conclusions and scope for future
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meet the needs of the user. Typical
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2-digit level (e.g., 220 - Engineer
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eviewed in dialogue boxes and on Ex
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Fig.3: Example tanker (HMI BRENTON
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Fig.7: Assigned material tabular en
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Fig.11: Design ship 2-digit SWBS Re
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Communication in Ship Design Networ
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number and volume of communicated i
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The investigated collaborations are
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The four principle communication pa
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6. Information content In design cl
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References ERIKSTAD, S.O., HAGEN, A
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intensive. The terminal's own drive
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A distribution of decision competen
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the order for planning the task to
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3.400.000 Total costs 3.200.000 3.0
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Visualisation of Ship Motions in Wa
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3.3. Panelisation and information e
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5.2. 3D visualisation Fig.4: Refere
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6.2. Examples of the visualisations
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7. Conclusions The presented toolki
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Fig.2: Possibilities for robotic in
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Experiments with the underwater cam
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Fig.13. and 14: Cleaning of the cha
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Acknowledgements The authors want t
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Fig.2: Result of Industrial Enginee
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2. Industrial engineering system fo
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4. Next steps In the next phase, th
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organizations and organizational un
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artifact’s context and extend the
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We take the ship survey process, wh
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device multimedia capabilities: Sur
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4. Future Work The mobile services
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FEM Supported Alignment of Power Tr
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2.2. Causes First researches result
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Fig.5: Sufficient tooth grip patter
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4. Alignment of a RoRo vessel’s p
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4.3. Calibration/Validation of the
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Optimisation of the Survivability o
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Table I: Current UK & US Damage Sta
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Fig.2: Damage Density Distribution,
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An Air-to-Surface Missile (ASM) is
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length according to the existing re
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the use of a stochastic optimizatio
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Each MOGA loop requires approximate
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JIASIONOWSKI, A. (2002), An integra
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Design problems are typically chara
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o planned: systematic; o ad-hoc: op
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o Provide justification for decisio
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o o o o o o Guide the user through
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- for some systems, the initial com
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feasible. The practical implementat
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PARK, J.H.; STORCH, R.L. (2002), "O
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where: a, b - coefficients (weights
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C Fig.2: The fuzzy domain of the bu
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5.2. Ship fuzzy domain in an open a
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PIETRZYKOWSKI, Z. (2003a), Modellin
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means that the number of intersecti
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4. Manipulation of Sets of Data Poi
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Fig.2: The selection function defin
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Let us define the root node of a se
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Fig.4 took up to several minutes on
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Applying Meta-Models to the Probabi
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The assessment of the damage stabil
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Fig.1 shows clearly an important ch
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one is willing to do, the smaller t
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Depending on the number of simulati
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Since none of the points of the lat
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CHEN, S.; WANG, L.; WU, X.; WANG, X
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alance between ship resistance and
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frequent movements of the pitch tha
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"commanding" by itself since a vari
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The numbers shown in the 3 rd row o
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angle of attack of the water flow o
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stationary, i.e. all variables rema
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the engine map runs through the ove
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References GRIMMELIUS, H.T.; STAPER
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their output to be random too. Runn
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simulation runs. It typically takes
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When the system initiates, the star
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The user is guided through various
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• Port Planning & Development •
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Knowledge-based Concurrent Engineer
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or puts components aside to make mo
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Technical specs Make preliminary ca
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ios, and knowledge about the design
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are applied afterwards, they can be
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calculations etc.) The product rela
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For finding the dependency of reque
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GIASSI, A. (2003), Multidisciplinar
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already mentioned. It is based on t
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2.2.2 Geometry Geometry covers the
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2.3 Simulation The simulation engin
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As far as the simulation engine inc
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time results. Table I: Mustering ti
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simulation means. The required time
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design consultants. Starting from a
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different severity, e.g. warning or
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• Execute calculation (including
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and ghostscript, Gnuplot, Ghostscri
Page 299 and 300:
References CASTOR; An open source d
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an accurate description of a densit
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(a) UDS and CDS Schemes (b) Gamma S
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Figure 3: Typical unstructured grid
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(a) 0 degree (b) 5 degrees - Port s
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(a) Computations (b) Experiments Fi
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(a) X/L = +0.10 (b) X/L = +0.20 (c)
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4 Conclusion This paper has describ
Page 315 and 316:
State of the art in climbing and wa
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2.1 REST 1 and REST 2 climbing robo
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Figure 5: ROWER 1 system. The full
Page 321 and 322:
Acknowledgements The REST climbing
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t²Ùvl uwmhÐu \]9|>CUW>¢Hh9|>@
Page 325 and 326:
á©ÎetÖJu‚ÓuwØ$t²o"t²Ó(
Page 327 and 328:
ð qwÓ¸tvuwÑÎzs¤×eÕÐhlxÚNl
Page 329 and 330:
ÖJu‚ÓuwØ›t²o"t²Ós²^hÔ
Page 331 and 332:
X X X X X X X X Z Z Z Z Z Z Z Z Y Y
Page 333 and 334:
30 25 20 Conjugate gradient 30 25 2
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CARENA is a naval architectural sof
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Fig.6: Cargo vessel carrying “spe
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used especially for shape optimizat
Page 341 and 342:
easily given as simple auto-update
Page 343 and 344:
and mutation concepts for evolving
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govern agents’ interaction with t
Page 347 and 348:
Create generation behaviour Sequent
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Side Casing Hoister Deck Car Deck C
Page 351 and 352:
The selection of the best individua
Page 353 and 354:
Appendix A Table A-I: Optimisation
Page 355 and 356:
2. Project Management tools in ship
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Fig.1: Example of document properti
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Fig.4: Example of query view on doc
Page 361 and 362:
The Product Data Management is comp
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Abstract Applications of Self-Organ
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EMERGENT GLOBAL STRUCTURE LOCAL INT
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dynamically structured, the system
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After a leakage has been detected,
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EXIT door door corridor exit device
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adaptive. Furthermore, from a imple
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The main objective for our approach
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LUCAS, C. (2003), Self-organizing s
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• As a result of the above-mentio
Page 381 and 382:
Table I: Exemplary matching of Refe
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Yard Program time Mile-stone Plan d
Page 385 and 386:
In the following we start with a di
Page 387 and 388:
Material Information Machines Proje
Page 389 and 390:
module (SpaceMan) supports the allo
Page 391 and 392:
ÖØ¬Ð ÆÙÖÐ ÆØÛÓÖ× ÓÖ
Page 393 and 394:
ÙÖ ½ ÌÝÔÐ ÙÐÐÓÖÑ Ø×
Page 395 and 396:
³× ÖØÖÓÒ Ñ×ÙÖ Ó Ø Ö
Page 397 and 398:
ÑÓÖ ÙÖØÐÝ¸ Ö Ó ÓÚÖ
Page 399 and 400:
10 10 Exp ANN Exp ANN 7.5 7.5 Cr [x
Page 401 and 402:
7 Cr [x 1000] 6 5 4 3 2 0.2 0.4 0.6
Page 403 and 404:
Automation Tools in the Design Proc
Page 405 and 406:
Fig.1: Visual LISP integrated devel
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• Bentley’s adoption of VBA •
Page 409 and 410:
To these outstanding features, it h
Page 411 and 412:
4.2.1. Automation The objective of
Page 413 and 414:
• Direction of the start of the c
Page 415 and 416:
• The FDE program processes the p
Page 417 and 418:
Database access The FORAN System us
Page 419 and 420:
A Heuristic for the Container Pre-M
Page 421 and 422:
When they arrive in the terminal ya
Page 423 and 424:
(3) The number of all badly placed
Page 425 and 426:
still greater than zero, the minimu
Page 427 and 428:
• For each dirty stack s exactly
Page 429 and 430:
in the remaining 7 instances no mor
Page 431 and 432:
DOF motion. Then, alter the input f
Page 433 and 434:
learn of any delay that can occur b
Page 435 and 436:
40 20 30 10 x-x0 (m) 20 roll (deg)
Page 437 and 438:
Since, among the velocity component
Page 439 and 440:
Y (m) -1700 -1500 -1300 -1100 -900
Page 441 and 442:
system framework, the details of it
Page 443 and 444:
Real-time Nonlinear Simulation (RNS
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design modifications are made, and
Page 447 and 448:
Evacuation Notation - a New Concept
Page 449 and 450:
• r(t): response time, which acco
Page 451 and 452:
• The time tk: the time correspon
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5.1. Quantitative assessment Quanti
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Table 2: Summary of total and model
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notation: besides an objective asse
Page 459 and 460:
Neural Networks Model for Ship Mane
Page 461 and 462:
&r V G • • r = a = ( uî & & +
Page 463 and 464:
V a Estimating Forces F Calculating
Page 465 and 466:
Fig. 5: Error variation for the net
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Fig 8: Ship's path in Zigzag test 3
Page 469 and 470:
[4] ALMAN, P.R., BERTSCHE, W.R., BO
Page 471 and 472:
2 Numerical Methods RANSE methods l
Page 473 and 474:
As a conclusion of these parameter
Page 475 and 476:
For correlation of propeller data t
Page 477 and 478:
quadratic functions result in littl
Page 479 and 480:
Index by authors Abels 470 Akinfiev
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