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Collaborating Authors
Helvacioglu, Ismail Hakki
The current work aims to evaluate productivity and producibility with Key Performance Indicators (KPIs) for Small and Medium Sized Shipyards (SMSS). A systematic approach has been developed by adopting data analysis. Most SMSSs have not implemented data analysis as these are very costly issues. On the other hand, neither the available data nor new technologies will not make any difference without a systematic approach. The proposed methodology is applied to a real case to validate that it is not only a concept study for a problem definition but also a reasonable solution to a known problem by incorporating engineering and business knowledge. The KPIs for cost and producibility evaluation were formulated in a mathematical model upon historical data analysis and are included in this study.
- Europe (0.46)
- North America > United States (0.15)
- Financial News (0.93)
- Research Report > New Finding (0.48)
- Research Report > Experimental Study (0.46)
- Transportation > Marine (1.00)
- Transportation > Infrastructure & Services (1.00)
- Materials > Metals & Mining > Steel (1.00)
In the current work, a new error evaluation methodology is introduced based on error analysis in ship production with reverse engineering data. The aim is to determine the errors and prevent or reduce the occurrence in other projects. First step is to compose a database of the errors; then, group the similar errors and calculate the Error Priority Number (EPN) by the evaluation of the predetermined criteria. The radar diagrams, which are suitable for representing a number of parameters having the same variables, were used to present the error groups in a simple way. The error groups were created on the diagram with the scores taken from the specific criteria. With the aid of the radar diagram, valuable information is given by presenting similarities and dissimilarities of these errors with other error groups. After examining the radar diagrams and evaluating the results, the cause and effect diagrams were prepared for these error groups from the field experts. Thus, the methodology should be customized for the shipyard to ensure maximum efficiency.
- Transportation > Marine (1.00)
- Transportation > Infrastructure & Services (0.91)
Ship design and construction is a complicated process and often viewed from a technical perspective. It should not be forgotten that ship design and construction is also a business venture and must succeed financially, as well. In the quality, cost and schedule triangle, quality seems to be the only constant because the demand on shipyards is to fabricate faster, more cost efficiently and without sacrificing quality. That leaves the cost and schedule as variables. Labor cost and workstation productivity are the two major areas where a shipyard can gain considerable savings by examining the estimated labor time against the actual fabrication time at each workstation with the purpose of improving productivity. This estimating approach aims to provide a computer-based cost estimating method to improve the current manual methods by connecting to a 3-D model and the "behind the scenes" properties of already-modeled parts in time and cost estimation after the build strategy and basic assembly drawings are developed. It treats the shipbuilding as a fabrication process that takes place in many workstations. The time it takes to perform each task at each workstation becomes an important input value for the approach. The estimating approach presented in this paper will be helpful for cutting down the estimating time and obtaining production related, insightful, information. It may be another valuable tool for increasing profits.
The objective of this paper is to identify the location selection criteria of new building shipyards. The identified criteria for shipyard location selection assists consultants, managers, and investors to realize and to analyze various location factors during their evaluation process of shipyard site alternatives and making final shipyard location selection appropriate to desideratum.
- Asia > Middle East > Turkey (0.68)
- North America > United States (0.46)
- Transportation > Marine (1.00)
- Transportation > Infrastructure & Services (1.00)