• Title/Summary/Keyword: Panel block assembly shop

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Development of simulation-based ship production execution system(SPEXS) for a panel block assembly shop (판넬블록 생산관리를 위한 시뮬레이션 기반 조선생산실행시스템 개발)

  • Lee, Kwang-Kook;Kim, Young-Hun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.11
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    • pp.2313-2320
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    • 2011
  • The management of a panel block shop in a shipyard is a complex process that entails the largest amount of work and in which many decisions are involved. Shipbuilders have considered the process as a bottleneck since every panel for every ship and offshore hull structure must be processed through the shop. In order to maximize process productivity, simulation-based ship production execution system(SPEXS) is proposed for panel block operations utilising discrete-event simulation and simulated annealing. An application of panel block assembly shop, called SPEX-Panel supports production planners by general dispatching rules and metaheuristics to make better scheduling decisions on the shop floor. In addition, the system will help increase productivity in the yard with continuous improvement.

A Hybrid Genetic Algorithm for Scheduling of the Panel Block Assembly Shop in Shipbuilding (선각 평블록 조립공장 일정계획을 위한 혼합 유전 알고리즘)

  • 하태룡;문치웅;주철민;박주철
    • Korean Management Science Review
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    • v.17 no.1
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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.

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Study on Simulation Model Generation of a Shipyard Panel Block Shop using a Neutral Data Format for Production Information (생산 정보의 중립 데이터 포맷을 이용한 조선소 판넬 공장의 시뮬레이션 모델 생성에 관한 연구)

  • Lee, Dong Kun;Back, Myung Gi;Lee, Kwangkook;Park, Jun Soo;Shin, Jong Gye
    • Journal of the Society of Naval Architects of Korea
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    • v.50 no.5
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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.

A study for production simulation model generation system based on data model at a shipyard

  • Back, Myung-Gi;Lee, Dong-Kun;Shin, Jong-Gye;Woo, Jong-Hoon
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.8 no.5
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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.

A Scheduling Simulation System for Panel Block Assembly shop in Shipbuilding (조선 평블록 조립공장 일정계획 시뮬레이션 시스템)

  • 이상협;하승진;민상규;최태훈;김형식
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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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.

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A Scheduling System for Panel Block Assembly Shop in Shipbuilding using Genetic Algorithms (유전알고즘을 이용한 판넬블럭조립공장의 일정계획시스템)

  • 최형림;류광렬;조규갑;임호섭;황준하
    • Journal of Intelligence and Information Systems
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    • v.2 no.2
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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.

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Development of Shipbuilding Execution Scheduling Support System using Mobile Device : A Case Study for a Panel Block Assembly Shop (모바일 기기를 활용한 조선 생산 실행계획 지원 시스템 개발 : 판넬라인 개발 사례를 중심으로)

  • Hwang, Inhyuck;Song, Jungkyu;Back, Myunggi;Ryu, Cheolho;Lee, Kwangkook;Shin, Jong Gye
    • Journal of the Society of Naval Architects of Korea
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    • v.50 no.4
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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.