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문제 정의
- This increases the time and cost for applying the simulation to the shipyard field situation, and thus acts as a hindrance factor for the onsite application of simulation in the shipbuilding industry. In an effort to reduce such difficulties, this study is conducted with the intent of supporting shipbuilding simulation model generation and applications. To this end, we analyze the data generated in a shipyard production environment, and define the data model necessary for shipbuilding simulations.
- This paper presents a method for the simple and systematic application of modeling and simulation that has been attracting attention as a new production support system. Extensive research has been conducted on manufacturing simulation designed to set up plans with high accurate capable of predicting imminent production-related problems (Woo et al.
제안 방법
- Because most shipbuilding companies do not have adequate human resources, modeling projects are usually implemented by modeling specialists based on commission. Against this background, this study is intended to develop and present an automated simulation model by redefining the shipbuilding-related data from the simulation perspective, and developing a system based on the data obtained thus far.
- To this end, we analyze the data generated in a shipyard production environment, and define the data model necessary for shipbuilding simulations. Based on the results of data analysis and the data model definition, we analyze the simulation engine model generation process required for the production simulation model generation, and define the interface between the data model and engine, as a basis for performing the study on the control and communication module. The proposed method is expected to efficiently generate and support shipbuilding simulation models.
- , 2011b). Drawing upon the NESIS and SDX implemented in previous studies on simulation of data models, data necessary for simulating the model management are defined by classifying them from the model view structure into data for managing individual simulation data, environmental parameters for implementing simulations, or by defining dimensions, time, and shape data related to model and equipment products (Table 1).
- The definition of the shipbuilding simulation data model should be preceded by the analysis of physical elements and production data managed in the shipyard specific to the shipbuilding industry. First, we analyze the manufacturing data structure, which is the data model managed internally and used by the engine capable of implementing the production simulation. Then, we define the shipbuilding simulation data model based on the review of previous studies conducted on the simulation data model implemented in the shipbuilding industry or in other industrial sectors.
- In order to define the procedure for system-based production for the simulation model generation, the modeling procedure and steps should be first analyzed by selecting a solution commonly used in shipyard production simulations. For this study, we selected DELMIA D5 QUEST of the software company Dassault Systems that is extensively used as a solution in the shipbuilding industry. Many studies have been conducted using this solution for assembly shop productivity validation, mid-term scheduling validation, and transporter utilization prediction (Back et al.
- It is expected that the modeler can focus more on the detailed modeling that reflects work-specific rules. In addition, the proposed method has the advantage of preventing simulation model generation for each modeler with other methods, thus contributing to the standardization of the shipyard simulation model generation.
- In order to apply the simulation technology to the production system, data necessary for achieving the simulation goal, such as ERP, APS, and MES, are collected from the shipyard legacy system, and the data necessary for the simulation are analyzed. Based on the analyzed data, the simulation modeler generates the simulation model.
- In this study, data analysis for simulation modeling was performed from the PPRS views, as shown in Fig. 4, based on the analysis results for E-BOM for shipyard design, M-BOM for production, procedural data for work management, and work assignment process that considers schedules and degrees of difficulty. Based on this, basic data attributes necessary for simulating the data model were specified, and data necessary for simulation modeling independently of shipyard data were extracted as described in the previous study on simulation modeling (Lee et al.
- To overcome this difficulty, this paper explores a NESIS-based improved simulation data model that considers the product, process, layout, facility, labor, and scheduled data, specific to the shipbuilding production system. Subsequently, a case study is conducted in a field situation to validate the data model and test the application method.
- , 2011a). The data schema defined for simulation modeling was redefined from the Product, Process, Resource, Schedule, Model (PPRS-M) views by adding the data required for the simulation model view to the Product, Process, and Resource (PPR). Generally, this is required for production simulation, and schedule (S), reflecting the particularity of the shipbuilding industry where each product has its own schedule.
- The product consists of a main plate that constitutes the most sub member, produced by the welding of other plates, and a subassembly block produced by welding of the main plate and the stiffener. The process consists of tack welding, panel front welding, turn over, panel back welding, NC marking, cutting, assembly fit up, and assembly welding. Fig.
- Based on the results of data analysis and the data model definition, we analyze the simulation engine model generation process required for the production simulation model generation, and define the interface between the data model and engine, as a basis for performing the study on the control and communication module. The proposed method is expected to efficiently generate and support shipbuilding simulation models.
- Furthermore, because of the high degree of modeling complexity, its standardization is a great challenge. The system developed in this study has a feature that allows the generation of a model by BCL, to generate the initial model, based on the predefined data, while. A simulation model generated according to this method requires less modeling time than a conventional modeler.
- The performance test of the simulation model generation system is carried out in an environment with Intel i5 CPU, 4 GB RAM, and 1 GB VGA RAM. The test simulation model is comprised of resources (source, machine, buffer, sink, crane, and path) and a process, which are entities defined in QUEST with 783 classes and 875 class elements. After the entities are generated, the pre- and post-link relations between the elements are set.
- Table 2 describes the defined modeling procedure based on the results of this process. The work performed during the assembly shop modeling procedure is classified as the simulation model making process regrouped by type, in order to perform mapping as an automated modeling process. As a result, a total of seven modeling groups are derived from which geometry modeling, flow modeling, and model implementation groups that only use real modeler modules are selected as candidate groups for automated modeling.
- , 2013). These studies focused on verifying production simulation cases and efficacies, thus eliciting the limitations in specifying production simulation data models. Lee et al.
- This particularity and the high number of resources that influence the process steps act as limitations for expressing the shipbuilding process simulation with the NESIS architecture. To overcome this difficulty, this paper explores a NESIS-based improved simulation data model that considers the product, process, layout, facility, labor, and scheduled data, specific to the shipbuilding production system. Subsequently, a case study is conducted in a field situation to validate the data model and test the application method.
이론/모형
- In this paper, the data model for shipyard production simulation model generation was defined by analyzing the iterative simulation modeling procedure. The shipyard production simulation data model defined in this study contains the information necessary for the conventional simulation modeling procedure and can serve as a basis for simulation model generation.
후속연구
- It stores data required for the shipbuilding simulation model generation and defines manageable data models, thus contributing to the reduction of the total modeling time when used for simulation model generation and maintenance/repair. The methods applied in this study are expected to have time and cost reduction effects when applied to digital production techniques in shipyards, which will lead to more active applications of simulation technologies.
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