• 한국정보통신학회논문지
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• 제15권11호
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• pp.2313-2320
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• 2011

조선소에서 판넬블록 생산공정은 가장 많은 물량을 처리해야 하는 중요하고 복잡한 공정이 고, 모든 선박 및 해양구조물의 하부는 반드시 판넬블록 생산 공정을 거쳐야 하기 때문에 판넬블록 생산공정은 병목공정으로 평가된다. 공정의 생산성을 극대화하기 위해 본 논문에서는 디지털 선박생산에서 가장 중요한 기술 중의 하나인 시뮬레이션과 최적화기법을 활용하여 조선생산실행시스템(SPEXS)을 개발하였고, 판넬블록조립장 적용사례로 SPEXSPanel을 구축하여 향상된 일정계획을 수립하는 효과를 보였다. 더불어 SPEXS-Panel은 지속적인 개선을 통해 야드 생산성 향상에 도움을 줄 수 있을 것으로 기대된다.

• 경영과학
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• 제17권1호
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• pp.135-144
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• 2000

This paper describes a scheduling problem of the panel block assembly shop in a shipbuilding industry. Because the shipbuilding is a labor intensive industry the most important consideration in a panel block assembly shop is the workload balancing. which balances man-hour weight and welding length and so on. It should be determined assembly schedule and workstation considering a daily load balancing and a workstation load balancing simultaneously. To solve the problem we develop a hybrid genetic algorithm. Hybrid genetic algorithm proposed in this paper consists of two phases. The first phase uses the heuristic method to find a initial feasible solution which provides a useful information about optimal solution. The second phase proposes the genetic algorithm to derive the optimal solution with the initial population consisting of feasible solutions based on the initial solution. Finally we carried out computational experiments for this load balancing problem which indicate that developed method is effective for finding good solutions.

• 대한조선학회논문집
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• 제50권5호
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• pp.314-323
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• 2013

Production simulation technology is beneficial to solve the complicated and fluctuated problems in a shipyard. It takes too much time and effort to build simulation models in the field, though. This research proposes a feasible method to reduce the difficulties related to simulation modeling for the factory or shop capacity analysis. In addition, a proposed neutral data format for production information is efficient to manage information acquisition for simulation modeling automation. A panel block shop model is contributed to comparison between the conventional technique and the automated one. The automation technique is highly recommended to run a rapid simulation in the shipyard problem.

• International Journal of Naval Architecture and Ocean Engineering
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• 제8권5호
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• pp.496-510
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• 2016

Simulation technology is a type of shipbuilding product lifecycle management solution used to support production planning or decision-making. Normally, most shipbuilding processes are consisted of job shop production, and the modeling and simulation require professional skills and experience on shipbuilding. For these reasons, many shipbuilding companies have difficulties adapting simulation systems, regardless of the necessity for the technology. 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. The efficacy of the developed system was validated by applying it to the simulation model generation of the panel block production line. By implementing the initial simulation model generation process, which was performed in the past with a simulation modeler, the proposed system substantially reduced the modeling time. In addition, by reducing the difficulties posed by different modeler-dependent generation methods, the proposed system makes the standardization of the simulation model quality possible.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.158-162
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• 2002

본 논문에서는 선박의 평블록을 조립하는 공장의 월/주간 일정계획을 수립하는 과정에서 계획의 정도를 향상시키기 위해 시뮬레이션을 적용하는 방안에 대해 다루고 있다. 조선 평블록 조립의 일정계획 수립은 표준 데이터를 근간으로 계획을 수립하므로 일정계획의 정도가 낮을 수 있다. 그리고 공장의 제반 여건 및 운영 방안을 일반적인 일정계획 기법에 반영하여 정도가 높은 일정계획을 수립하는 것은 매우 어려운 일이다. 하지만 시뮬레이션에서는 공장의 제반 여건을 상세하게 묘사 가능하고, 시뮬레이션 수행 후 해당 일정계획의 정도 및 여러 사항에 대해 많은 정보를 얻을 수 있다. 따라서 본 논문에서는 수립된 일정계획에 대해 시뮬레이션을 통해 평가하고, 해당 일정계획의 문제점을 사전에 발견하여 조치함으로써 일정계획의 정도를 한층 높이고자 한다.

• 지능정보연구
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• 제2권2호
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• pp.29-42
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• 1996

본 논문은 조선업에서 평블럭을 생산하는 패널블럭조립공장의 일정계획 문제를 해결하기 위한 유전알고리즘의 적용 방안을 제시하고 있다. 패널불럭조립공장의 일정계획은 작업장별 평준화와 각 작업장내에서의 일자별 부하 평준화라는 두가지 목표를 가지고 있다. 이러한 목표를 달성하기 위해 본 논문에서는 유전알고리즘을 계층적으로 나누어 적용하였다. 상위단계 유전알고리즘은 작업장별 부하 평준화를 담당하며 하위단계 유전알고리즘은 상위단계 유전알고리즘의 결과를 바탕으로 각 작업장내에서 일자별 부하 평준화의 최적화를 담당한다. 실험 결과, 유전알고리즘에 의한 일정계획이 수작업에 의한 방법보다 처리시간이 짧게 소요되고 부하 평준화의 측면에서 더 좋은 해를 얻을 수 있음을 확인하였다.

• 대한조선학회논문집
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• 제50권4호
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• pp.262-271
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• 2013

Owing to the development of mobile communication technology during the last a few years, the number of users of mobile devices such as the smartphone and the tablet PC has increased rapidly. As a result, the range of applications of the mobile devices has also been greatly expanded from an application for the convenience of daily life to an application for assisting the operations of industrial fields. Especially, portability of mobile devices can provide great help in collecting and using information on the production site. In shipbuilding production processes, it is difficult to collect changes of circumstance in the field and reflect the changes to schedule due to the low production automation rate and frequent changes in schedule. In this study, we propose a system to solve the problems of shipbuilding production processes such as the ones described above by using mobile devices. First of all, we organize the production information and production processes of the panel line through the analysis of shipyard panel line operations. Next, we have developed a system that can support the production execution plan of the panel line and monitor the production processes in the field. The system was developed utilizing application virtualization to allow access to the system from various platforms of mobile devices and PC's. The system was implemented using ooCBD methodology considering the future expansion of the system and ease of maintenance.