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DETERMINING HOW TO APPLY THE DESIGN FOR PRODUCTION CONCEPT IN SHIPYARDS THROUGH RISK ANALYSIS

Damir KOLIĆ orcid id orcid.org/0000-0002-3287-682X ; Tehnički fakultet Sveučilišta u Rijeci
Nikša FAFANDJEL orcid id orcid.org/0000-0002-6564-1621 ; Tehnički fakultet Sveučilišta u Rijeci
Bruno ČALIĆ ; Tehnički fakultet Sveučilišta u Rijeci


Puni tekst: hrvatski pdf 723 Kb

str. 63-72

preuzimanja: 885

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Puni tekst: engleski pdf 723 Kb

str. 63-72

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Sažetak

“Design for production” principles have been applied in multiple industries with varying degrees of success. The shipbuilding industry has also started to apply these advanced principles for adapting vessel design towards production friendliness and vice versa. In order to maintain global competitiveness, shipyards must constantly improve upon existing processes in order to cut costs and increase profit. Therefore, in this paper the shipbuilding process of assembling interim products has been identified as an area where production costs could be reduced through the application of an improved “design for production” methodology. The two principle interim product assembly methods are analyzed and a work content analysis of a typical double bottom block is performed. In order for the application of the “design for production” methodology to be practical for shipyard management in making decisions with minimal risk with regards to choosing the most appropriate method for assembling interim products for the present technological state of the shipyard, risk analysis by use of the Monte Carlo method is undertaken. In this way, the application of the “design for production methodology” is improved upon and new insight is developed concerning the optimal method for development of interim product assembly for the future state with complementary adjustments to the shipyard technology level.

Ključne riječi

Monte Carlo method; shipbuilding; risk analysis

Hrčak ID:

56095

URI

https://hrcak.srce.hr/56095

Datum izdavanja:

23.7.2010.

Podaci na drugim jezicima: hrvatski

Posjeta: 2.112 *