Intergraph Smart Yard

Transcription

1 W H I T E P A P E R Intergraph Smart Yard Integrated Design and Production Planning for Smart Modular Assemblies and Smart Production

2 Contents 1. Summary Nomenclature Introduction Key Considerations in Module/Block Production Planning and Process Management Fabrication and Process Planning Cutting and Fabrication Scheduling Assembling Process Planning Load Balancing Between Work Centers Pallets of Sub-assemblies/Parts Execution Planning Production Process Control Integrated Solution for Production Planning Assessing Module/Block Assembly Strategy Managing Strategy Based on Work Location Optimizing Cost Based on Physical Properties Integrated BOM Management BOM Editing and Management Nesting BOM Creation and Management Work Package Review for Production Planning (WPR) Automatic Creation of Work Package from BOM Work Schedule Micro Adjustment Function per Bay Using Load Balancing Functionality Work Step Definition and Contents Progress Checking and Monitoring Link with Material Management System Module/Block Assembly Sequence and Spatial Planning Simulation on Bay Workshop Integration and Feedback Smart Modular Assembly Conclusions References Authors Biographies i

3 1. Summary This white paper was originally submitted to the Society of Naval Architects and Marine Engineers. MMJM Veldhuizen, Intergraph Corporation, The Netherlands CY Shon, Intergraph Corporation, Korea K Cochran, Intergraph Corporation, U.S. T Ladran, Intergraph Corporation, Korea JH Lee, Intergraph Corporation, Korea The Modular Assembly process is a critical source of optimization in offshore, onshore, and ship construction. Advanced companies concurrently utilize diverse manufacturing facilities, machines, and production methods to assemble modules of multiple projects at the same time, in different shops, or around the world. To increase competitiveness and productivity, yards must rely on the flexibility and accuracy of their production planning and scheduling systems. Key considerations include shop and resource management, on-time completion and availability of sequenced sub-assemblies, quality of the modules that need to be aligned, and readiness of materials to be processed. However, to truly optimize the process, the yards must integrate these considerations directly into the design process. This paper addresses the utilization of the 3D model within the production planning and laser scanning processes. The paper will take you through the design phase and continue through final construction, managing collaboration with materials availability, bill of materials management, scheduling, and simulation of the actual module assembly construction process. It will discuss how an integrated system concept can drive both design engineering and production from a single CAD model, and manage the progress and workload of complex production facilities like panel or curved block assembly shops that have to handle mixed project types. Additionally, the paper will look at how a design-to-production CAD model can provide better ways to optimize production accuracy through weight calculation and management plus measurement of the as-built assembly. It will also address the need for accurate information that can be obtained from laser scanning tools and compared with the design information to reduce the amount of time and material required to align the adjacent modules (Smart Modular Assembly). 1

4 1.1. Nomenclature Term APS BOM PLM PO S3D SPC SPF SPMat SPR WBS WP WPR Table 1: Definition of terms used in this document. Definition Advanced Planning & Scheduling System Bill of Material Product Life Cycle Management Purchase Order Intergraph Smart 3D CAD Software Intergraph SmartPlant Construction Management Software Intergraph SmartPlant Foundation e-engineering Integration Hub Intergraph SmartPlant Materials Material Management Software Intergraph SmartPlant Review 3D Simulation/Review Software Work Breakdown Structure Work Package Work Package Review 2

5 2. Introduction The basis of this paper was presented during the ICCAS conference 2013 in Busan; however, it has been extended to include the Smart Modular Assembly Integration which ensures quality and productivity during the fabrication process using laser scanning and simulation technology, as well as shop floor integration. Prior to the existence of parallel or concurrent engineering concepts, the offshore and shipbuilding industry formed unique processes which execute design, production planning, and production for hundreds of thousands of parts simultaneously. The basic unit for design, material purchasing, fabrication, and assembling tasks is the module (for offshore and onshore), and the block (for shipbuilding). These tasks and processes must be executed for a module/block not only consecutively, but also simultaneously, to optimize total production time. This is particularly critical for large fabrication yards that execute multiple projects concurrently. Offshore and shipbuilding projects share similarities with plant projects from a product point of view. However, the production processes of offshore and shipbuilding are very different, because shipbuilding processes deal with multiple ships at the same time at the work center level, while offshore utilizes more one-offs or relative limited series. But both are using the same fabrication yard s work centers, and therefore have the same basic problems of optimizing the assets and workforce. Fabrication yard productivity depends on design and production data to be efficiently generated and properly utilized, using legacy data and standard 3D CAD data to cover basic, detail, and production design, and to deliver data to the production department in a short period of time. Production planning aims to bridge design and production using 3D CAD data, production scheduling, and production-related knowledge after contracting. Total efficiency of the fabrication yard is closely related with how a shipbuilding company makes a quality production plan. A fabrication yard s competitive advantage comes through evaluation, simulation, and optimization of alternative process design, process planning, and scheduling. This paper addresses an application of a 3D CAD system, combined with an information management core, which optimizes module/block assembly from an integrated system perspective and enables large fabrication yards to effectively manage multiple projects simultaneously. The authors will discuss how the integrated system approach can be applied using the process shown in Figure 1. Figure 1: Overview of the integrated system. 3

6 3. Key Considerations in Module/Block Production Planning and Process Management The first step in integrating the design cycle with the production planning and fabrication cycles is to understand the process-specific needs for planning, fabrication, quality, and process control Fabrication and Process Planning Module/block production can be divided into fabrication units, which include plate and member cutting data, as well as data for other components, like piping and HVAC, etc., and a process for assembling the parts. Manufacturing design information includes the selection of processing mechanisms, machine, jig, and assembly sequence, as well as conditions and parameters for the fabrication and assembling processes. Module/block division and shop drawing creation are key components of process planning. The module/block division involves macro-level process planning for determining the configuration, assembly base, and process order. Shop drawing creation includes the issuing of working instruction information for cutting/fabrication and assembling. Shop drawings, profile sketches, nesting information, and bill of materials are some basic deliverables for the manufacturing department to execute their job. To achieve continuous improvement for these processes, it has become a necessity for each department involved in design, planning, and production to have tools for creating and evaluating alternatives using a 3D product model. The process planning and scheduling system should be integrated for optimized production planning. Application areas using 3D CAD in process planning are as follows: Fabrication process data creation through 3D CAD part geometry data Assembly process information creation through 3D CAD part and relationships between parts Scheduling for process planning, considering load balancing among work centers (bays) based on planning time period Pallets of sub-assemblies/parts for intermediate storages in the complete process Selecting and reassigning of blocks within a bay for load balancing Cutting and Fabrication Scheduling The fabrication process utilizes the exact geometry of a part as generated in the 3D CAD model, along with properties about how the part should be constructed. Properties include the pre-treatment of plates as they are primed for construction, and cutting and bending data of parts that are nested. Additionally, the 3D CAD output provides information about secondary operations such as twisting, knuckling, rolling, and grinding. Load balancing tasks are also needed to optimize efficiency of each work center (bay) by reassigning plates or cut parts to different machines. 4

7 Assembling Process Planning The assembly planning process is composed of decisions required to optimize assembly creation. The decision process is based on assembly unit, assembly method, assembly bay, assembly man-hours estimation, and assembly order selection. Generally, assembly unit and assembly order selection tasks should consider weld position, weight and size limitation, and minimization of turnover (T/O). Assembly order has two levels: assembly tree hierarchy and assembly order in the unit. 3D CAD can support automatic and manual creation and evaluation of alternatives Load Balancing Between Work Centers The assembly bay (work center) should be selected depending on the assembly unit s characteristics. Companies normally employ selection rules to decide on the best assembly bay and optional bays based on the bay type (flat or curved block), crane capacity, block size, turn-over availability, and weight and gate size. Alternative bay is provided as an option in the case where the best bay s load is too high, and when the bay allocation must be changed for the blocks. Working time information per alternative bay has to be provided to the scheduling system. A man hour (MH) function covers the calculation of fitting and welding MH for each block. Calculation factors include ship type, attachment type, weld posture, thickness, and welding foot length Pallets of Sub-assemblies/Parts Since not everything can be built at a single location, intermediate storage of sub-assemblies needs to be arranged. However, these intermediate storage areas have space limitations and process limitations which need to be taken into account, using similar techniques as in 2.1 (c). Load balancing should be applied to these intermediate warehouses to determine any bottlenecks. In this stage, you often see RFID for tracking of these pallets that contain intermediate products/parts Module/Block Assembly Scheduling and Load Balancing Module/Block assembly scheduling includes setting, welding, and accuracy checking on a moving bay of flat block or a fixed bay of curved blocks. Usually the bay area is a critical resource for scheduling, because block sizes are normally big and bay area sizes are limited in a shipbuilding company Execution Planning Marine industry (offshore and shipbuilding alike) Bills of Material (BOM) are evolving as designs (FEED, detailed, and manufacturing) have become more detailed. Production schedules are prepared based on estimated material information such as weight, welding length, and joint length of reference project. However, many factors cause the situation to change rapidly (e.g., health safety issues or broken equipment), and it has become imperative that the execution level scheduling should be done by each workshop s manager who knows the most up-to-date issues and status in the shop. 5

8 3.3. Production Process Control The goals of production process control are on-time delivery of the contracted project, optimized resource and material allocation for the construction process, and maximized throughput of fabrication yard facilities. The construction process faces ever-changing factors such as design changes, design errors, delay of upstream processes, late arrival of materials, and delay of current processes. The quality process control system has to cope with these kinds of challenges. To achieve an effective process control system, the work package definition, design delivery planning, BOM activity, and material acquisition date should be frozen. Based on the BOM s material information, detailed material amounts and unit costs of production can be used to make cost estimations. And finally, efficiency and productivity of the ship construction can be measured by the executed data per work package. A work package is an optimized management unit for construction based on a Work Breakdown Structure (WBS) and is usually decomposed to zone, discipline, stage, and skill for construction workers. The work package contains not only work amount, target man hours, and work schedule information, but also drawings, material, machine, and workers in order to apply scheduling, design, material, and process monitoring tasks such as quality and accuracy items. The content definition of a work package may differ depending on management unit of the company and can be divided into sub-packages of several work steps [1]. 6

9 4. Integrated Solution for Production Planning Since the 1990s, Computer Integrated Manufacturing has been applied in fabrication, and in particular the marine industry. Since those times, solutions have evolved and advanced with the availability of information technologies. In more recent years, companies have begun to employ PLM systems to further optimize their processes. A number of issues remain to be resolved. The following sections highlight those issues and their solutions Assessing Module/Block Assembly Strategy The design process progresses from basic design to the final generation of deliverables. During that design cycle, many factors affect design and necessitate the ability to make rapid changes to the CAD model. A particular challenge is facilitating change to production planning. The CAD tool can be used to optimize the production process by assessing the following: Module/block and assembly management based on work location Size, weight, and orientation Managing Strategy Based on Work Location In today s design scenario, a project can be designed in one part of the world and built in another. It is also possible for a module or blocks of the same project to be built at different fabrication yards, and those fabrication yards most likely having different production capabilities and schedules. (This geographical distribution of work further increases the need for quality to ensure a fit with the least amount of rework at the location of assembling. This will be further discussed during the Smart Modular Assembly chapter 6). Therefore, module/block and assembly size and weight cannot always be defined in advance. Rapid change must be easy. With the availability of 3D CAD tools that allow for large-scale modification, project modeling may begin very early in the design process. In cases where an owner oversees the overall design requirements but delegates the detailed design and construction to multiple fabrication yards, the design process may start before the construction location is known. A sample decision process is shown in Figure 2. Figure 2: Assessing the block assembly strategy. 7

10 In this scenario, the basic design is dictated by the owner and initial module/block definition is developed early in the process to start managing split locations. Several fabrication yards will work on this construction. As the production phase moves closer, Fabrication Yard A falls behind on a different project, and several modules/blocks must be moved to Fabrication Yard B. Using rule-based automation for checking production properties, the design solution checks the weight of the module/block versus the capacity of the target workshop at each yard. The following example shows this process. First, the weight of the block is computed by the software, as shown in Figure 3. Figure 3: Block weight calculation. Second, the weight of this block is compared to the weight limit of the primary shop in each fabrication yard: Shop 1 in Fabrication Yard A has a weight limit of 220,000 kg. Shop 1 in Fabrication Yard B has a weight limit of 200,000 kg. When the planner runs an automated rule to check the weight against the capacity of Shop 1 in Fabrication Yard B, the check provides a warning to indicate that this block exceeds the weight limit for Shop 1 in Fabrication Yard B. Based on this validation, the designer can either move parts out of this block, or modify the block size to meet the weight requirement. 8

11 Optimizing Cost Based on Physical Properties Of the many physical properties that can affect the way an assembly moves through the fabrication yard, size, weight, type of welds, and orientation have the biggest impact on cost. For example, orienting a block to minimize the number of overhead welds will reduce the difficulty of welding, thereby reducing welding man hours and optimizing cost [2]. The fabrication yard s knowledge of construction best practices can drive the CAD system to automatically choose the best orientation and sequence for each assembly, based on rules. For example, the side shell shown in Figure 4 is analyzed by the software. Figure 4: Target structure (side shell) to choose orientation. The production planner runs an automated rule on the side shell panel to assess the optimized assembly orientation of the panel. Because the primary orientation of this panel is vertical, a large percentage of the welds required to assemble the panel are currently overhead, which makes the welding more difficult. The automated check notifies the user to consider re-orienting the assembly, and the user runs a command to automatically orient the assembly based on the majority of the plates that make up the panel, as shown in Figure 5. Figure 5: Finding the best orientation. 9

12 Likewise, the software automatically determines the orientation of all assemblies in the block, until the block construction method has been fully optimized. The final orientation is shown in Figure 6. Figure 6: Final orientation of assembly. After the assembly sequencing is known, the weld orientation and length data that is stored for each weld is uploaded to the PLM system and can be used to estimate cost. The same is applicable to the best way to assemble something like a pipe rack for the topside, as shown in Figure 7. Figure 7: Pipe rack example. The placement of pipes in the intermediate level is more easily done with less resources than when the top part of the pipe rack is already placed. Therefore, estimates on how long it will take for the pipe rack to be built depend on this strategy that is often known to the production planners (or the automated assembly rules within the solution, using knowledge-based production engineering). 10

13 4.2. Integrated BOM Management Management of the BOM at various levels of the design is critical, not only for optimization of the ordering and utilization of materials, but as an enabler of efficient and powerful integration of design and production. This section of the paper introduces several important functions among various application fields of integrated BOM management BOM Editing and Management For the last few years, important research of integrated BOM has been conducted. Yards have acknowledged the importance of BOM within Product Lifecycle Management (PLM) implementation, which covers project design, production, material management, and process control. [3] A BOM creation and editing capability is one of the main functions needed to facilitate generation of a new BOM from a reference BOM, or from 3D CAD model data, for various purposes. For example, the BOM editing and comparison function of the integrated design system is shown in Figure 8. Figure 8: Multi-BOM viewer between model and BOM, and comparison between system and assembly. 11

14 Nesting BOM Creation and Management Nesting is the process that makes a connection between raw material (pipes, plates, and bars) to parts that will be fabricated, as shown in Figure 9. After the manufacturing information has been generated for the parts via the 3D CAD system, and the parts are grouped together on a sheet of plate, the nesting BOM can be generated. Figure 9: Work processes of parts manufacturing. XML files of the parts that will be nested are transferred to the nesting system. Subsequently, the nesting system runs the nesting process after grouping parts, often by module/block, with optimization based on common material. The process is shown in Figure 10. Figure 10: Integrated BOM with drawings containing plate profile and pipe nesting system, with schedule. 12

15 Figure 11 shows the progression of data as it moves from the 3D model to nesting. First, we see the result of 3D CAD manufacturing design for an assembly. The right pane shows the system hierarchy which is composed of deck, shell, stiffeners, etc. The next step in the process is to view the nesting results in a graphical view. Then, the drawings, reports, and final results are imported into the integrated BOM management system. Figure 11: The model progresses from CAD to the nesting solution, such as NESTIX SHIP. 13

16 The integrated system can display nesting information through its BOM management functionality. One of the most important functions of the tool is to run comparisons between different BOM types for the same project. For instance, the assembly BOM may be compared against the cutting BOM or system (prenesting) BOM to verify whether all the parts of the module/block exist in both BOMs. Figure 12 shows the nesting BOM viewer in the integrated BOM management system, as well as the comparison view between the model and nesting data. Figure 12: BOM, model, and nesting information viewer. 14

17 4.3. Work Package Review for Production Planning (WPR) Automatic Creation of Work Package from BOM Figure 13 shows the tool configuration within the integrated system. As a bridge between the 3D modeling system and construction (production) management system, automatic work package creation, which is managed by the tool, will give users the benefit of substantial time savings. Figure 13: CAD-WP creation Automated WP management including the automatic related drawings gathering. Automatic creation of a work package utilizes BOM information, along with routing and work center information, to create the contents of a work package for the plate cutting or block assembly production process. At this stage, we often see the relationship with the scheduling software that handles up to this level, after which the shop floor solutions take over to optimize the production assets. As shown in Figure 14, work packages can be created in batch, and related drawings and documents can be linked to the work package automatically or manually. Figure 14: Create work package and Autolink drawings. 15

18 As a work package management system, SmartPlant Construction (SPC) provides a fully integrated filtering functionality to handle model, parts, work type, work center, and schedules. Figure 15 shows the work package searching function operating on the model. Figure 15: Search WPs by model viewer Work Schedule Micro Adjustment Function per Bay Using Load Balancing Functionality From the perspective of the workshop manager, there is a need to have multi-project-based work package searching and reviewing functions as illustrated in Figure 16. For example, a panel assembling process line may have modules/blocks from different projects for a given week, and both projects must be considered in the load. Figure 16: Multi-project WP loading. 16

19 The tool supports load analysis and load balancing on a bay and can be set automatically or adjusted manually to achieve optimal bay operation. It has to take into account the work package schedule information that is often retrieved from schedule solutions like Primavera, Microsoft Project, Microsoft Excel, or an in-house intermediate scheduling system. Figure 17 shows the production controllers the ability to micro-manage schedules according to the ever-changing production environment. [4] Figure 17: Material availability, importing schedule information into WP and adjusting schedule by editing Gantt chart (backward schedule) using shop floor management solutions like Integrated SPC with NESTIX SHIP. 17

20 Work Step Definition and Contents The work package includes information about the components that make up the assembly, and also contains the work steps which are sub-level tasks for the assembly construction process. These include fitting, welding, and accuracy checking. A work step has man hours (MH) as its primary unit of measure and is calculated from CAD and other resourcing data. This is shown in Figure 18. Figure 18: Components unfolding for a WP Progress Checking and Monitoring If the user enters executed work steps daily for each work package, progress of the whole project, block, discipline, and stage can be calculated and evaluated using 4D simulation and printed reports. Automated solutions that we encounter in everyday life, such as barcoding solutions seen during supermarket visits, are also often implemented in this stage. Figure 19 depicts the progress of the assembly process with red highlights on two different dates. Figure 19: Visualization of progress on two different dates. 18

21 Link with Material Management System The work package also needs to have material information for the production process, and this is accomplished through the interfaced material management system. The materials system checks the availability of required materials and handles material reservations. With materials information from the complete project execution life cycle residing in a single database, organizations can establish information for quick and effective decision support as well as early warning systems. Figure 20 shows a sample connection between SPC and SmartPlant Materials (SPMat). Figure 20: Material reservation with material system. 19

22 4.4. Module/Block Assembly Sequence and Spatial Planning Simulation on Bay Finally, assembly simulation can be performed using the assembly order selected from the process planning stage. This enables the planner to review and check for collisions, as shown in Figure 21. Figure 21: 3D visualization for assembly sequence. Spatial planning for modules/blocks within a bay is a critical criterion that must be taken into account to utilize work space efficiently, because it directly relates to productivity. The Convex Polygonal Approach is one of the solutions for block spatial planning optimization. [5] This is important since the fabrication yards are at a fixed location and have limited space. Intermediate warehouses containing modules/blocks, sub-assemblies, or pallets need to be managed properly since they could become bottlenecks in the complete process. Module/block location 3D simulation on a bay may be used to verify 2D-based block location setting results. An example is shown in Figure 22, using basic nesting capabilities. If collision occurs, manual modification of block location or allocation of the block to another bay can be used to resolve the problem. 3D motion simulation with schedule information can check the availability of the solution from the Convex Polygon Approach s results. Figure 22: 2D-based blocks spatial planning (sample). 20

23 5. Workshop Integration and Feedback By directly integrating the shop floor assets such as pipe cutting machines, pipe bending, plate cutting, and profile cutting, as well as panel welding robot streets, we can further optimize the production planning just as we have done for the work packages, since this is simply another level of load balancing and scheduling. Figure 23: Immediate status update ensures up-to-date information. Often, yards have different work center assets that are able to execute similar tasks, for instance, a multiple-plate cutting machine. Utilizing these different assets needs to be as optimized as possible to avoid production loss. In Figure 24, a utilization overview of the production assets is given. Figure 24: Monitoring of the production assets. 21

24 Since these production assets are directly linked into the corporate networks, it is possible to not only get real-time updates on the parts (and therefore the complete process), but also on the efficiency of the assets themselves. In Figure 25, such a machine efficiency is given. Figure 25: Direct feedback from the machines and managing machine utilization. During production, individual pipe, plate, and profile parts often need to be transported internally to different locations. For this, they are often put on pallets. Again, production priority, schedule information, and availability need to be taken into account, often resulting in pallet lists indicating which parts need to be loaded onto which pallet. 22

25 Often, sub-assemblies such as pipe spools are gathered together for the next production stage. However, the loading as well as tracking of these pallets is crucial. Placement of the spools based on schedule information in the correct pallet will avoid intermediate warehouse issues, as well reducing time to find the required pipe spools. Information technology like RFID can help in these situations. See Figure 26 for RFID tracking of the work packages. Figure 26: RFID tracking of (sub) assembly or spools. 23

26 6. Smart Modular Assembly With modules/blocks built in different geographical locations around the world, the quality of these blocks is imperative to avoiding rework. The modules need to fit together at the location where they are joined for assembly. Smart Modular Assembly combines design (3D) workflow, measurement work packages (SPC), as well as Leica Geosystems laser scanning to facilitate efficient and error-free construction processes. Figure 27: Concept of module with measurement work package that drives the inspection and simulation module. Assembling large structures such as ships or offshore facilities is often a complex process. It is subject to major losses due to rework, scrap, and delays that result from flaws in typical manufacturing practices. Smart Modular Assembly closes the gap in the construction workflow and links design information with the manufacturing workflows for large-scale construction projects. This improves accuracy throughout any complex assembly process. Figure 28: Defining the measurement points within the module in combination with available measurement tools. Smart Modular Assembly offers a comprehensive solution to connect multiple products from any supplier. From single-part inspection to highly accurate, large-scale, multi-instrument surveys, the advanced analysis capabilities support large-scale manufacturers that have no other option but to make components that fit, stick to time schedules, and keep costs under control. 24

27 Figure 29: Laser measurement and overlay of the design and reality. It combines design (3D) workflows, measurement work packages (SPC), as well as Leica laser scanners/trackers together with the Spatial Analyzer software to run a complete virtual simulation. With Smart Modular Assembly, fabricators receive real-time information that allows them to anticipate and correct issues in the early stages, increasing effectiveness and output in the assembly line. Information is automatically shared among the Smart Modular Assembly, automating various processes including time schedule, materials logistics, and manufacturing planning. Figure 30: Simulation of fitting modules together and finding the most optimal fit and least amount of rework. 25

28 7. Conclusion This paper shows the potential of 3D CAD in optimizing accurate and quality modular design and production planning all the way to the shop floor. The resulting business advantages include shorter delivery time, more accurate task management, and better control of the production process that is enabled with better information sharing. Figure 31: Integrated, consistent dashboard reporting at different levels of the process. Integration of the 3D CAD and PLM systems, such as SPC, enhances the efficiency of the module/block assembly process, which can be a bottleneck in most fabrication yards. The integrated system can more efficiently support the planning and management of plant, ship, and offshore constructions, resulting in increased productivity, accelerated project completion, and reduced risk. By seamlessly integrating design, procurement, fabrication/assembly, and site materials, the integrated system can facilitate improved planning, efficient information exchange for better communication, and enhanced engineering and construction work processes. Using current information from various sources such as 3D models, 2D engineering tools, materials management, laser measurement, virtual simulation, and project control and scheduling systems, the integrated system ensures that accurate and timely decisions can be made from the best available information. All necessary information is factored in to develop precise and flexible work packages to better manage labor and materials in the yard. 26

29 8. References 1. KOREAN SHIPBUILDING RESEARCH ASSOCIATION; A study on Integrated Production Planning for Shipbuilding, SASAKI, Y., SONDA, M. And ITO, K.; A Study on 3-D Digital Mockup Systems for Work Strategy Planning, ICCAS Proceedings, LEE, JANG HYUN, LEE, KYUNG HO, LEE, JAE BEOM, The Study of Enterprise BOM for Ship Outfitting BOM and Product Data Integration, Korea Society of CAD/CAD Engineers conference, JAE KYU LEE, KYOUNG JUN LEE, HUNG KOOK PARK, JUNE SEOK HONG, JUNG SEUNG LEE; Developing Scheduling System for DaeWoo Shipbuilding, European Journal of Operational Research, Volume 97, Issue 2, Pages , KYOUNG JUN LEE, JAE KYU LEE, AND SOO YEOUL CHOI; A Spatial Scheduling System and its Application to Shipbuilding: DAS-CURVE, Expert Systems with Applications, vol. 10, no.3/4, ,

30 9. Authors Biographies Marcel Veldhuizen is currently holding the position of Vice President Business Development within Intergraph Corporation with a focus on the Marine Industry (Shipbuilding and Offshore). In his position, he discusses many business and process issues with leading owner operators and yards around the world. Due to this unique perspective, he is able to combine the business process with the technical trends in the market. Marcel brings with him more than 23 years of experience within the industry. ChangYoung Shon holds the current position of Industrial Consultant at Intergraph in Busan, Korea. He is involved with consulting of PLM solutions based on Intergraph s products such as Intergraph Smart 3D, SmartPlant Construction, and SmartPlant Review. His previous experience includes research and development of product modelling, production scheduling, and 3D simulation for marine/offshore/automobile industries. Kristin Cochran holds the current position of Senior Manager for Marine/Offshore QA at Intergraph in Hampton, Virginia, U.S. In addition to managing QA for marine and offshore structure, she is involved with implementations and deployments of Smart 3D. Teodoro R Ladran holds the current position of Software Consultant at Intergraph in Busan, Korea. He is involved with development and implementation of PLM solutions and system integrations based on Intergraph s core products such as SmartPlant Foundation, Smart 3D, and SmartPlant Construction. His previous experience includes research and product development for class and marine/offshore engineering software. JaeHo Lee holds the current position of Software Consultant at Intergraph in Busan, Korea. He is involved with development and implementation of PLM solutions and system integrations based on Intergraph s core products such as SmartPlant Foundation, Smart 3D, and SmartPlant Construction. His previous experience includes PLM product development for marine/offshore engineering software. 28

31 For more information about Intergraph, visit our website at Intergraph Corporation. All Rights Reserved. Intergraph is part of Hexagon. Intergraph and the Intergraph logo are registered trademarks of Intergraph Corporation or its subsidiaries in the United States and in other countries. Other brands and product names are trademarks of their respective owners. Intergraph believes that the information in this publication is accurate as of its publication date. Such information is subject to change without notice. Intergraph is not responsible for inadvertent errors. 11/14 PPM-US-0310A-ENG