Abstract
Rapid development in data science keeps paving the way for use of data for many purposes in shipbuilding, both for product development and production, such as Industry 4.0 have been developing many industries. Similar to other industries the evaluation of performance in shipbuilding is the key to success which is closely connected to productivity and lowered costs. Data mining and analysis techniques are used to create effective algorithms to evaluate the performance, also by means of cost estimation based on parametric methods. However, it is usually not very clear how data are collected, organised and prepared for analysing and deriving valuable knowledge as well as algorithms. In most of the cases, having this data requires either continuous investment in expensive software or expensive external expertise which are generally not available for small and medium size shipyards. In this study, considering the needs of the small and medium sized shipyards, a step-by-step methodology is proposed which could be easily applied with widely available low budget software. The application is demonstrated with a case to evaluate the performance of early phase structural design with a data driven cost estimation algorithm.
Highlights
Shipbuilding is a very complicated process, because the activities take long time, human factor and safety issues play an important role, and the ship itself is a complex product
A parametric cost estimation model is created based on real big-data from the history of shipyard by using Microsoft Excel to make the model within easy reach
Step 5 Setting up an Algorithm: Based on pre-defined cost drivers, analysis and the cost structure, an algorithm is developed with a combination of Cost Estimation Relations (CERs) and adjustment factors
Summary
Rapid development in data science keeps paving the way for use of data for many purposes in shipbuilding, both for product development and production, such as Industry 4.0 have been developing many industries. Data mining and analysis techniques are used to create effective algorithms to evaluate the performance, by means of cost estimation based on parametric methods. It is usually not very clear how data are collected, organised and prepared for analysing and deriving valuable knowledge as well as algorithms. In most of the cases, having this data requires either continuous investment in expensive software or expensive external expertise which are generally not available for small and medium size shipyards. In this study, considering the needs of the small and medium sized shipyards, a step-by-step methodology is proposed which could be applied with widely available low budget software.
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