Disassembly modeling in ship maintenance with consideration of the influence of fasteners

2021 ◽  
Author(s):  
Hua Zhang ◽  
Minhao Mu ◽  
Zhou Fang ◽  
Yue Qiu ◽  
Pengxing Yi
Keyword(s):  
Ship Maintenance

A Different Business Approach for the Navy Maintenance Process

1993 ◽  
Vol 30 (02) ◽  
pp. 106-113
Author(s):  
Anthony M. Cieri ◽  
Chris Horten
Keyword(s):  
Damage Control ◽  
Business Strategies ◽  
Fiscal Year ◽  
Work Requirements ◽  
Test And Evaluation ◽  
Self Sufficiency ◽  
Ship Maintenance ◽  
Real Performance ◽  
Business Approach ◽  
Maintenance Process

The realization that there will be fewer assets and reduced budgets in the 1990's coupled with the continuing increase of ship maintenance costs throughout the 1980's requires a change in the technical and business strategies in which Navy maintenance is executed. Application of existing diagnostics and communications technology will provide our national assets with greater self-sufficiency as well as bringing real performance data shoreside to make more efficient business-related decisions in the way intermediate and depot-level work requirements are brokered. Integration of embedded training, as well as documentation and provisioning data, with the condition assessment technology shipboard will improve the ship as well as significantly reduce in size the structure of the shoreside community required to support our national assets. Several initiatives of varying complexity have been prototyped in fiscal year 1990 with test and evaluation in fiscal year 1991. These initial efforts provide a springboard to a strategy which integrates information from static and dynamic mechanical systems with damage control and combat systems into our existing ships by fiscal year 1995. Bringing this performance knowledge to the bridge will provide in service hulls a capability beyond what was ever expected and the corporate knowledge required to properly design the ship of 2010. The paper discusses the authors' vision of these evolutionary business concepts utilizing the application of today's technology.

Managing Ship Maintenance

1965 ◽  
Vol 2 (03) ◽  
pp. 236-242
Author(s):  
Robert E. Apple ◽  
Donald E. Farrar
Keyword(s):  
Cost Analysis ◽  
Single Unit ◽  
Level Of Detail ◽  
Ship Maintenance

The establishment of efficient ship maintenance on a component by component basis is complicated by the large number of installed components on a ship, and by the absence of data at the required level of detail. A method of statistical cost analysis that considers the ship as a single unit, and that uses generally available data, is shown to be useful for predicting repair requirements, and for establishing scheduled repair periodicity. The applicability of the procedure for commercial ships is discussed. Intensity of inspections is also discussed, with suggestions for reducing inspections to the reliability threshold that corresponds to maximum profitability.

The Use of GERAM for Design of a Virtual Enterprise for a Ship Maintenance Consortium

2007 ◽  
pp. 351-365 ◽  
Author(s):  
J. Mo
Keyword(s):  
New Zealand ◽  
Service Life ◽  
Systematic Study ◽  
Virtual Enterprise ◽  
Information Infrastructure ◽  
Reference Architecture ◽  
Successful Operation ◽  
Ship Maintenance ◽  
Royal Australian Navy

This chapter describes the key elements in the application of GERAM to the analysis of the virtual enterprise of a ship maintenance consortium, the ANZAC ship alliance. The ANZAC ship project built 10 ANZAC class guided missile frigates for the Royal Australian Navy and the Royal New Zealand Navy. The ships have a service life of 25 to 30 years in which changes are required to keep up-to-date with latest warfare. In this study, VERA was adopted as the generic enterprise reference architecture to guide the systematic study of the anatomy of the virtual enterprise. The issues of creating and managing the logistics and information infrastructure that are necessary to support successful operation of the virtual enterprise are examined. Particular models were created according to GERAM for the timely support of the projects as the virtual enterprise grew.

scholarly journals Big Data Analysis Model for MRO Business Using Artificial Intelligence System Concept

2018 ◽  
Vol 7 (3.33) ◽  
pp. 134
Author(s):  
Inhwan JUNG ◽  
He SUN ◽  
Jangmook KANG ◽  
Choong Hyong Lee ◽  
Sangwon LEE
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Analysis ◽  
Business Models ◽  
Analysis Model ◽  
Artificial Intelligence System ◽  
Shipbuilding Industry ◽  
Intelligence System ◽  
System Concept ◽  
Ship Maintenance

The rapidly changing environment of the shipbuilding industry has put Korea’s shipbuilding industry in a crisis. The purpose of this study was to develop a business model to maintain, maintain and operate Big Data-based MRO(Maintenance, Repair, and Operation) consumables, which is expected to be the new growth engine for the domestic shipbuilding industry. Although Korean shipbuilders have world-class technologies for ship dogma, the market for ship maintenance and repair is still in its infancy. For Korean shipbuilders, MRO business can be a growth engine that will provide food for the next 30 years, but to do so, we need to make sure that everything that happens in the entire process, from ship design to maintenance and maintenance. Therefore, by systematically establishing Big Data related to components and developing MRO business models based on data analysis capabilities using Artificial Intelligence system concept, we can develop new growth engines for related industries in Ship Industry.  

Analysis on Ship Equipment Consumption Data Based on Data Mining

2013 ◽  
Vol 846-847 ◽  
pp. 1141-1144
Author(s):  
Dan Dan Chen ◽  
Zhi Gang Yao
Keyword(s):  
Data Mining ◽  
Cluster Analysis ◽  
Regression Analysis ◽  
Data Warehouse ◽  
Comprehensive Analysis ◽  
Online Analytical Processing ◽  
Consumption Data ◽  
Ship Maintenance ◽  
Analytical Processing

A comprehensive analysis on a large amount of ship equipment consumption data accumulated over the years is achieved through the establishment of data warehouse, online analytical processing, regression analysis, cluster analysis, etc. by means of data mining. The analysis results present important references for equipment guarantee department in terms of equipment preparation and carrying, etc. and provide the comprehensive analysis and utilization on massive ship maintenance support data with technical means.

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