Benchmarking Shipbuilders’ Turnover of Main Assets

Colin, Emerson Carlos; Pinto, Marcos Mendes de Oliveira

doi:10.5957/jsp.2009.25.4.175

Cited by 6 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A Data Envelopment Analysis (DEA) model is proposed to assess the shipyard performance, and an Analytical Hierarchy Process (AHP) method is used to obtain the Industrial environment indicator. Colin and Pinto [7] use several turnover measures, including main physical assets such as dock area, berth length, lifting capacity and the output CGT. Fareza [8], in his Master Thesis, has developed shipbuilding performance measurement benchmarking using DEA, comparing major shipyards in Asia to acquire the market share by analysing the input and output.…”

Section: Literature Review 21 Ship Manufacturing Performance Measurem...mentioning

confidence: 99%

Developing a Hybrid Value Engineering and Risk Assessment (Venra) Framework for Shipbuilding and Ship Repair Industry Performance Measurement

Baihaqi¹,

Lazakis²,

Kurt³

2021

ICSOTI21

View full text Add to dashboard Cite

This paper proposes a novel performance measurement framework to enhance the decision-making process in assessing the ship manufacturing (shipbuilding, ship repair, and ship conversion/modification) industry. Integrated Value Engineering and Risk Assessment (VENRA) approach performance measurement for ship manufacturing is developed to tackle the problem. Thorough literature and critical study of the existing performance measurement for ship manufacturing are reviewed to create novel VENRA performance measurements. The attributes collected from the literature are grouped into four criteria performance, named VENRA attributes, combining the technical, business, external and safety/risk performance groups. The initial model will be assessed through fuzzy DEMATEL TOPSIS to achieve the weighted score of each attribute. The framework will be applied to three shipyard case studies in Indonesia. The quantitative data (from shipyards) and qualitative data (from expert opinion/judgment) will be included to get the results and the framework’s effectiveness.

show abstract

Section: Literature Review 21 Ship Manufacturing Performance Measurem...mentioning

confidence: 99%

Developing a Hybrid Value Engineering and Risk Assessment (Venra) Framework for Shipbuilding and Ship Repair Industry Performance Measurement

Baihaqi¹,

Lazakis²,

Kurt³

2021

ICSOTI21

View full text Add to dashboard Cite

show abstract

“…Pires et al (2009) performed data envelopment analysis to assess shipyard performance. Colin and Pinto (2009) benchmarked yards and shipbuilding regions in terms of their asset utilization, also using data envelopment analysis. None of these studies, however, specifically addressed the building of complex, technologically advanced and innovative, special ships, such as OSVs, under unconventional ship production strategies.…”

Section: Introductionmentioning

confidence: 99%

Comparing Offshore Support Vessel Production Times between Different Offshoring Strategies Practiced at Norwegian Shipyards

Semini

Brett

Strandhagen

et al. 2022

Journal of Ship Production and Design

View full text Add to dashboard Cite

To save costs and build competitiveness, Norwegian shipyards usually offshore some of the processes required to produce a ship, especially steel-related tasks, i.e., they have them carried out in a country with lower factor costs. This study aims to provide some quantitative evidence of the relationship between the degree of offshoring and the production time of offshore support vessels (OSVs) delivered from Norwegian shipyards. It builds upon a recent article that introduced a typology of offshoring in ship production (Semini et al. 2018, Journal of Ship Production and Design, 34(1), 59–71). We take into account contextual factors that are also expected to affect the production time of OSVs, in particular ship size and complexity, repeat production, and the global market situation. We apply multiple regression analysis on a sample of 156 OSVs delivered from nine Norwegian shipyards between 2010 and 2018. Each of these ships was, by plan and strategy, partly produced at a foreign yard, before one of the Norwegian yards took over, completed production, commissioned, tested, and finally delivered the ship. Results suggest that the higher the degree of offshoring is, the longer is the total ship production time. Only ship size explains even more of the production time variability in the sample than offshoring strategy. In addition to these two factors, evidence suggests that also repeat production and the global market situation have a significant impact on the production time. Our study contributes to the literature on the relationship between strategy and performance in shipbuilding. It provides new insights into how offshoring strategy and contextual, product- and market-related factors relate to ship production time based on quantitative, empirical evidence. From a methodological perspective, it illustrates how multiple regression analysis can be applied to ship-specific data as a benchmarking tool to measure and compare shipbuilding performance. Findings are first and foremost valid for the ships included in the study, which opens numerous opportunities for further research.

show abstract

“…Pires Jr. et al [5] presented a methodology for shipbuilding performance assessment, based on yard characteristics, production patterns, and industrial surroundings. Colin and Pinto [6] analyzed the asset turnover of several shipbuilding companies, while Semini et al [7] compared different offshoring strategies in ship production. Despite the range of shipbuilding studies, there is a lack of studies aimed at shipyard logistics.…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Shipyard Operations and Logistics: A Framework and Comparison of Shipbuilding Approaches

Strandhagen

Jeong

Woo

et al. 2020

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

Shipyards around the world have several differences that affect the logistics processes at each yard. The purpose of this paper is to develop a framework for mapping the key factors affecting shipyard logistics. We test and validate the framework by applying it to three case shipyards-one Norwegian and two South Korean. To develop the framework, we first identify key factors affecting shipyard logistics, based on a review of the existing literature. The framework is then applied using data from the three cases. Through a comparative analysis of the collected data, we identify and outline the main logistics differences and the key factors' main implications for the shipyards. The findings from the analysis indicate that there are important differences between the shipyards, and these have implications for their scope of planning and execution of shipyard activities, their primary focus of coordination, and their primary flows, among others. Through the framework development and comparative analysis, the paper contributes to an enhanced understanding of shipyard logistics, as well as how it is affected by internal and external yard characteristics.

show abstract

Benchmarking Shipbuilders’ Turnover of Main Assets

Cited by 6 publications

References 0 publications

Developing a Hybrid Value Engineering and Risk Assessment (Venra) Framework for Shipbuilding and Ship Repair Industry Performance Measurement

Developing a Hybrid Value Engineering and Risk Assessment (Venra) Framework for Shipbuilding and Ship Repair Industry Performance Measurement

Comparing Offshore Support Vessel Production Times between Different Offshoring Strategies Practiced at Norwegian Shipyards

Factors Affecting Shipyard Operations and Logistics: A Framework and Comparison of Shipbuilding Approaches

Contact Info

Product

Resources

About