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Essentials: • A neutral Internet-based service that gives instant access to accurate, technical and updated information in a standard shipbuilding format to suppliers, shipyards and design agents • Enables easy design integration • Contains data in standard formats • Is complemented by e-commerce functionality • Access information 24 hours a day, 365 days a year • Product Categories and Structure 3D Volumes Complete Product Information Certificates Technical Spec. Attributes Tribon.com Extended Attributes Commercial & administrative attributes, Product groups, maintenance systems, services instructions etc. Drawings Attachments ©Tribon Solutions 08/01/2004 4 (Brochures, specifications diagrams etc.) Suppliers know how time consuming and costly it is to handle information requests from customers and to get their components or systems specified to suit the needs of shipyards repeatedly. Tribon.com is a flexible marketing channel that allows suppliers to be in control of their information and update it as their products or systems develop. Through Tribon.com suppliers can also broadcast their information and news to designers. Tribon.com provides many possibilities for suppliers: • Access an efficient marketing and sales process • Reach engineers and designers at shipyards in the global shipbuilding market, your target group • Create the information once - share it with their customers concurrently, refine it and use it many times • Improve communication, quality of data and decrease the paper trail • Get a new channel to the after-sales market • Increase customer satisfaction 38
3. New Process The new process is being tested with several ship owners: BP, Wallenius, TOTE, and the US Navy. Since the functionality is not yet developed, we have simulated the work process. The communication is made via the Internet, but not yet inside Tribon.com which has to be driven side by side. The tests have concluded in the simplified process below. Also the benefits described are concluded with the help of the tests. The results from the tests were so beneficial that some of the owners have continued with the simplified solution and are now using it in operation. Time Traditional methods Tribon.com Optimisation All engineering strives for to the “optimal design”. Often time and economy stop the engineer from reaching total satisfaction, especially in commercial shipbuilding. Research has shown that 30% of an engineer’s time is spent on “searching for information”. Tribon.com gives the engineer direct access to the information, unlike traditional methods where he would spend too much time to search. Newbuilding UNDINE My newbuilding projects MS DON QUiJOTE Repair MS ANNICA MS DON QUiJOTE ©Tribon Solutions 08/01/2004 14 The new process builds on the opportunities that the Internet gives. Ship owners log in via Tribon.com and can call up their new building or repair project. After choosing project, ship owner can browse around in the 3D model and: • Check and comment the design in the model • Perform analysis, test functions (allowing staff to “learn” the ship before it is built) • Follow up the progress of the project. By clicking different objects the user can get status on the objects. Example of status could be: 1) for designs: in design, waiting for class approval 2) for equipment: supplier set, procured, on stock, assembled. 3) For material produced by the yard: design approved, in production, assembled • Port staff and suppliers of port cargo equipment can use the model to test port equipment • The user is able to click equipment and if the supplier is set the user can get detailed information of the equipment. Tribon.com contains links to supplier websites and e-mail addresses; so the owner can connect directly for questions and discussion. 39
Page 1 and 2: 3 rd International Conference on Co
Page 3 and 4: Patrick Hupe, Uwe Langbecker, Mubas
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: 2.2. Tribon Product Information Mod
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
Page 55 and 56: conditions have to be prevented. Fo
Page 57 and 58: Ship 2 LPP 182.390 m B 26.00 m T D
Page 59 and 60: Fig.9: Ship 1; Simulated Crash stop
Page 61 and 62: Using Simulation in Evaluating Bert
Page 63 and 64: ship. To shorten the time spent by
Page 65 and 66: travelled by each SC are totalled t
Page 67 and 68: around time is the highest against
Page 69 and 70: to alternative berths instead of pl
Page 71 and 72: Appendix 1: Data Collected from Con
Page 73 and 74: Abstract Introduction to BALTPORTS-
Page 75 and 76: - at the level of operational plann
Page 77 and 78: - External interoperability - In ad
Page 79 and 80: 5. Setting up of the Baltic Sub-Reg
Page 81 and 82: Robot Applications in the Field of
Page 83 and 84: Fig.3: The main components of the D
Page 85 and 86: The precision of the process depend
Page 87 and 88: The frame is further divided into 2
Page 89 and 90:
1. Periodicity on the time line, pe
Page 91 and 92:
Quality measures. Let J be the inst
Page 93 and 94:
6.2 Mutation A random number out of
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7.1 Adaptation of Theorem 2 in our
Page 97 and 98:
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
Page 207 and 208:
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
Page 215 and 216:
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
Page 301 and 302:
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)
Page 313 and 314:
4 Conclusion This paper has describ
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State of the art in climbing and wa
Page 317 and 318:
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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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
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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
Page 357 and 358:
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
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Table I: Exemplary matching of Refe
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Yard Program time Mile-stone Plan d
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In the following we start with a di
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Material Information Machines Proje
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module (SpaceMan) supports the allo
Page 391 and 392:
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10 10 Exp ANN Exp ANN 7.5 7.5 Cr [x
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7 Cr [x 1000] 6 5 4 3 2 0.2 0.4 0.6
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Automation Tools in the Design Proc
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Fig.1: Visual LISP integrated devel
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• Bentley’s adoption of VBA •
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To these outstanding features, it h
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4.2.1. Automation The objective of
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• Direction of the start of the c
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• The FDE program processes the p
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Database access The FORAN System us
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A Heuristic for the Container Pre-M
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When they arrive in the terminal ya
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(3) The number of all badly placed
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still greater than zero, the minimu
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• For each dirty stack s exactly
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in the remaining 7 instances no mor
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DOF motion. Then, alter the input f
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learn of any delay that can occur b
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40 20 30 10 x-x0 (m) 20 roll (deg)
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Since, among the velocity component
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Y (m) -1700 -1500 -1300 -1100 -900
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system framework, the details of it
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Real-time Nonlinear Simulation (RNS
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design modifications are made, and
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Evacuation Notation - a New Concept
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• r(t): response time, which acco
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• 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
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Neural Networks Model for Ship Mane
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&r V G • • r = a = ( uî & & +
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V a Estimating Forces F Calculating
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Fig. 5: Error variation for the net
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Fig 8: Ship's path in Zigzag test 3
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[4] ALMAN, P.R., BERTSCHE, W.R., BO
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2 Numerical Methods RANSE methods l
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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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