TOWARD SHIPBUILDING 4.0 - AN INDUSTRY 4.0 CHANGING THE FACE OF THE SHIPBUILDING INDUSTRY

The Shipbuilding 4.0 at the principles of the Industry 4.0 will transform the design, manufacturing, operation, shipping, services, production systems, maintenance and value chains in the all aspects of the shipbuilding industry. Over the last few years, the fourth industrial revolution has spread in almost all industries. The whole world is talking about Industry 4.0 which has increased implication in the manufacturing process and the future of the work. The impact of the Shipbuilding 4.0 will be significant. In the past, shipbuilding industry where continuously improved with new machines, software and new implemented organizational restructuring. In today shipbuilding industry, there are three main problems that are considered; production efficiency, the ship safety, cost efficiency and energy conservation and environmental protection. In order to create new value, the ship must become a Smart Ship capable of “thinking”, and to be produced in Smart Shipbuilding Process. The aim of this article is a review of the present academic and industrial progress of this new industrial revolution wave in the shipbuilding sector called Shipbuilding 4.0 (Shipping 4.0, Maritime 4.0, Shipyard 4.0). Reviewed publications were analyzed different topics and level of improvements in the industrial aspects of the society. The implementation of the Shipbuilding 4.0 in the shipbuilding industry, presents the future, creating new value in the process, creating new demands with reduction in production and operational cost while increasing production efficiency

Dynamics of Long-Life Assets: From Technology Adaptation to Upgrading the Business Model

Knowledge management; Business information system

A Reference Model for Big Data Analysis in Shipbuilding Industry

Department of Management EngineeringGlobal shipbuilding industry has gone through a tough time due to the reduction of shipping order quantities and shipbuilding tonnages since the global financial crisis of 2008. To overcome the challenges, big data analysis is expected to be an effective solution to increase the practical efficiency in the shipbuilding industry. After an organization applies big data analysis, benefits, such as better aimed marketing, more straightforward straight-forward business insights, client based segmentation, and recognition of sales and market chances, are anticipated. In the future, the key for competitiveness is finding an appropriate way of applying big data analysis. Although numerous studies for big data analysis are conducted, the studies tend to focus on the technical aspect of analyzing data including method, algorithm, and architecture. Therefore, it is required to study how to applying the analysis technique in the practice, specifically shipbuilding industry in this study. In this thesis, the reference model for big data analysis in shipbuilding industry is developed. The proposed reference model provides the big data analysis guideline according to four phases such as contract, design, production, and service. They are categorized based on value chain of shipbuilding industry. Each phase consists of three levels of big data analysis, e.g., category of analysis, analysis method, and detailed algorithm. Moreover, the importance of the analysis method is determined in order to increase the applicability of the reference model. To verify the validation of the model, experts of the shipbuilding industry consulted the model it is consulted by the experts of the shipbuilding industry.ope

Integrating technology and organization for manufacturing sector performance: evidence from Finland

This dissertation investigates the complex factors shaping the future of manufacturing, focusing on innovation, competitiveness, and employment trends within the European context. Leveraging the extensive 2022 European Manufacturing Survey dataset, it models relationships between critical technological and organizational variables impacting manufacturing resilience using cross-lagged panel path analysis. Against the 2019–2021 economic and environmental backdrop, the research examines manufacturers’ integral survival strategies derived from challenges faced. Factors like business innovation models, organizational concepts, key technologies, and relocation approaches are assessed for performance. The study reveals competitive standards: automation, robotics, additive manufacturing, accessbased business models, maintenance services, and production organization. These discoveries have profound implications for enabling the transition to next-generation sustainable manufacturing through technology integration frameworks. The research marks the need for investments in cross-sectoral research coordination. As climate change intensifies, reimagining manufacturing is critical. While acknowledging limitations like sample size and scope, the dissertation offers a detailed understanding of the manufacturing system’s components and the relationships of success, forward strategies, and human-technology-environment interlinkages. This multidimensional perspective provides insight to catalyze the creation of integrated manufacturing ecosystems worldwide

COOCK project Smart Port 2025 D3.1: "To Twin Or Not To Twin"

This document is a result of the COOCK project "Smart Port 2025: improving and accelerating the operational efficiency of a harbour eco-system through the application of intelligent technologies". It reports on the needs of companies for modelling and simulation and AI-based techniques, with twinning systems in particular. This document categorizes the purposes and Properties of Interest for the use of Digital Twins. It further illustrates some of the twinning usages, and touches on some of the potential architectural compositions for twins. This last topic will be further elaborated in a followup report