Architecture of the Product State Model Environment: The QualiGlobe Experience of Production Efficiency

This paper addresses the issue of using product models to support product lifecycle activities with particular focus on the production phase. The motivation of the research is that products are produced more costly and with longer lead-time than necessary. The paper provides a review of product modelling technologies and approaches, and the overall architecture for the Product State Model (PSM) Environment as a basis for quality monitoring. Especially, the paper focuses on the circumstances prevailing in a one-of-a-kind manufacturing environment like the shipbuilding industry, where product modelling technologies already have proved their worth in the design and engineering phases of shipbuilding and in the operation phase. However, the handling of product information on the shop floor is not yet equally developed. The paper reports from the Brite-Euram project (No. BE97-4510) QualiGlobe focusing on the development activities of the PSM architecture. An example discusses how to handle product related information on the shop floor in a manufacturing company and focuses on how dynamically updated product data can improve control of production activities. This prototype example of welding a joint between two steel plates serves as proof of concept for the PSM architecture

A Reference Model for Big Data Analysis in Shipbuilding Industry

Department of Management EngineeringGlobal shipbuilding industry has gone through a tough time due to the reduction of shipping order quantities and shipbuilding tonnages since the global financial crisis of 2008. To overcome the challenges, big data analysis is expected to be an effective solution to increase the practical efficiency in the shipbuilding industry. After an organization applies big data analysis, benefits, such as better aimed marketing, more straightforward straight-forward business insights, client based segmentation, and recognition of sales and market chances, are anticipated. In the future, the key for competitiveness is finding an appropriate way of applying big data analysis. Although numerous studies for big data analysis are conducted, the studies tend to focus on the technical aspect of analyzing data including method, algorithm, and architecture. Therefore, it is required to study how to applying the analysis technique in the practice, specifically shipbuilding industry in this study. In this thesis, the reference model for big data analysis in shipbuilding industry is developed. The proposed reference model provides the big data analysis guideline according to four phases such as contract, design, production, and service. They are categorized based on value chain of shipbuilding industry. Each phase consists of three levels of big data analysis, e.g., category of analysis, analysis method, and detailed algorithm. Moreover, the importance of the analysis method is determined in order to increase the applicability of the reference model. To verify the validation of the model, experts of the shipbuilding industry consulted the model it is consulted by the experts of the shipbuilding industry.ope

Procedure for Measuring Shipbuilding Process Optimisation Results after using modular Outfitting Concept

On its way to becoming successful and competitive on the world shipbuilding market, the shipyard has to build quality, have small cost of production process and short delivery time of the ship. Optimisation of the shipbuilding process using a modular outfitting concept needs some changes in design and technological processes in shipbuilding. It needs some changes in outfitting by redirectioning of some outfitting works from blocks, berth and outfitting after launching of the ship towards the workshop. This is a way to shorten the time of the shipbuilding process, reduce costs, increase of competitiveness, without investment in new facilities, machines and tools. In this paper, a model which shows interdependence between various activities in the shipbuilding process is described. This is a vehicle which can be used for research on the dependence of the shipbuilding process in relation to some changes in the outfitting process while shifting some outfitting work from on-board towards outfitting workshops. Those workshops can be either a part of the shipyard or a part of outsourcing. On the basis of the results obtained by this research, it is possible to measure optimisation results as a consequence of using a new modular outfitting concept within the shipbuilding process. In this way, a higher process efficiency, reduced activity cost and durations within the shipbuilding process can be achieved. The authors suggest that further improvement is possible by introducing higher degree of standardisation, unification and typification of ship systems and structures, particularly adapted to a modular outfitting concept, and additionally increased by way of on-block outfits

The Economic Impacts of Port Activity in Antwerp: A Disaggregated Analysis

The importance of ports is usually measured by indicators such as added value, employment and investment on a much aggregated level. This paper tries to define the importance of the port of Antwerp for the regional and national economy on a disaggregated level. It attempts to identify, quantify and locate the mutual relationships between the different players in the port and between these players and other industries. Finally, it proposes a method to calculate the effects of changes in port activity at a detailed level. A sector analysis is done by means of a reduced regional input-output table, through a bottom-up approach. The most important customers and suppliers of the port's key players or stakeholders are identified. A geographical analysis is feasible by using data on a disaggregated level. Each customer or supplier can be located by means of their postcode. In this way, the extent of the economic impact of the port of Antwerp is quantified.

Methodology for managing shipbuilding projectby integrated optimality

PhD ThesisSmall to medium shipyards in developing shipbuilding countries face a persistent challenge to contain project cost and deadline due mainly to the ongoing development in facility and assorted product types. A methodology has been proposed to optimize project activities at the global level of project planning based on strength of dependencies between activities and subsequent production units at the local level. To achieve an optimal performance for enhanced competitiveness, both the global and local level of shipbuilding processes must be addressed. This integrated optimization model first uses Dependency Structure Matrix (DSM) to derive an optimal sequence of project activities based on Triangularization algorithm. Once optimality of project activities in the global level is realized then further optimization is applied to the local levels, which are the corresponding production processes of already optimized project activities. A robust optimization tool, Response Surface Method (RSM), is applied to ascertain optimum setting of various factors and resources at the production activities. Data from a South Asian shipyard has been applied to validate the fitness of the proposed method. Project data and computer simulated data are combined to carry out experiments according to the suggested layout of Design of Experiments (DOE). With the application of this model, it is possible to study the bottleneck dynamics of the production process. An optimum output of the yard, thus, may be achieved by the integrated optimization of project activities and corresponding production processes with respect to resource allocation. Therefore, this research may have a useful significance towards the improvement in shipbuilding project management

Modularization of Ship Engine Room Using Design Structure Matrix (DSM) Based on the Genetic Algorithm

Recently, the shipbuilding industry has been able to develop new production methods. These new methods promote design automation in order to produce ships more efficiently. The various production concepts, like block division, modularization and building ships with a standard design are possible solutions for improve production. Engine room design, including the piping system, is a complex process; therefore, modularization of its design is an effective strategy to minimize the complexity of the system. In addition, modularization plays an important role. This process requires a considerable number of man hours. This paper presents a new approach for engine room design based on the modularization concept. The characteristics of the proposed method are as follows: • Attention was paid to all piping systems of ship engine room. The cost and weight of the piping system were considered. • To define an effective module, a design structure matrix was adopted. • In the modularization using DSM, the Genetic algorithm is used to obtain modules by considering some constraints like number of pipe connections and pipe cost. This study discusses the details of the above mentioned methods. In addition, simulation test of design optimization of a several piping systems were carried out to illustrate the design optimization procedure in detail and to verify the effectiveness of the proposed methodology

Engine Room Module Installation System Risk Analysis Based on Bayesian Network

Implementation of system installation risk on engine room module aims to anticipate ship production delays. However, in its implementation, there is the problem of ship delivery delays in various shipbuilding companies. This research will analyze the risk analysis of the installation of the engine room module system by identifying risk factors and parameters that affect performance as a hazard identification that has the potential to cause delivery delays. The object of the research is the Indonesian Navy's Auxiliary Hospital Ship, which has 6 zones with a pilot project developed in zone 2. This includes an engine room that contains important constructions in the form of a main motor foundation, auxiliary motor, and other machinery, where the system was integrated. Moreover, there are some works consisting of construction, outfitting, and commissioning which are very complicated and require high accuracy. The aim of the implementation of risk analysis of the installation system in the engine room’s module is to assess potential risks, the effect of risk on project delays, and project cost overruns. The research method uses a Bayesian network because it is able to assess the most potential risks and predict the possibility of delays at network nodes. The primary risk is associated with electrical activities, specifically electrical outfitting on wiring, clamping, and compound sub-components with a probability of (0.0002560) in the Machinery Outfitting and Electrical Department. This risk stems from inappropriate steps during drawing revisions, which have the potential to cause delays in equipment installation, cable material procurement, and the generation of cable cutting data. Therefore, early coordination with production planning control, design, and the supply chain is crucial

Research on assembly sequence planning and optimization of precast concrete buildings

Due to more complex structure and increasing prefabrication rate of precast concrete buildings, the assembly order between their constituent components is getting more and more attention. In order to solve the assembly sequence planning and optimization (ASPO) problem in precast concrete buildings, Building Information Modelling (BIM) and Improved Genetic Algorithm (IGA) are organically combined to propose a new method called BIM-IGA-based ASPO method. This method uses BIM for parametric modelling, uses IGA to search for an optimal assembly sequence, and then uses BIM again for visual simulation to further test the assembly sequence. Besides, IGA, which is improved in coding mode, crossover operation and mutation operation, is also used to achieve the dynamic adjustment of assembly sequence in construction process. A full-text example is used to explain the detailed operating principle of BIM-IGA-based ASPO method. The results indicate that the method can effectively find an optimal assembly sequence to reduce the assembly difficulty of a precast concrete building