Assessment Framework of Smart Shipyard Maturity Level via Data Envelopment Analysis

Abstract

The fourth industrial revolution (“Industry 4.0”) has caused an escalating need for smart technologies in manufacturing industries. Companies are examining various cutting-edge technologies to realize smart manufacturing and construct smart factories and are devoting efforts to improve their maturity level. However, productivity improvement is rarely achieved because of the large variety of new technologies and their wide range of applications; thus, elaborately setting improvement goals and plans are seldom accomplished. Fortunately, many researchers have presented guidelines for diagnosing the smartness maturity level and systematic directions to improve it, for the eventual improvement of productivity. However, most research has focused on mass production industries wherein the overall smartness maturity level is already high (e.g., high-level automation). These studies thus have limited applicability to the shipbuilding industry, which is basically a built-to-order industry. In this study, through a technical demand survey of the shipbuilding industry and an investigation of existing smart manufacturing and smart factories, the keywords of connectivity, automation, and intelligence were derived and based on these keywords, we developed a new diagnostic framework for smart shipyard maturity level assessment. The framework was applied to eight shipyards in South Korea to diagnose their smartness maturity level, and a data envelopment analysis (DEA) was performed to confirm the usefulness of the diagnosis results. By comparing the DEA models, the results with the smart level as an input represents the actual efficiency of shipyards better than the results of conventional models.

Energy‐related clean and green framework for shipbuilding community towards zero‐emissions: A strategic analysis from concept to case study

“…18 Liesen et al 44 provided the technical approach and emphasized energy savings, implementation of energy efficiency measures in Portsmouth Naval Shipyard, and Jeong et al 45 described the power grid and the simulation of applying flywheel energy storage system on the power grid at the shipyard for shore power to ships and offshore facilities to save fuel consumption and reduce air emissions. In addition, the development of smart shipyards using data envelopment analysis has been shown by Woo et al 46 and the implementation of Industry 4.0 at shipyards using fuzzy AHP-TOPSIS hybrid method has been explained by Cil et al 47 The utilization of different types of renewable energy in shipyards has been investigated in various studies. Hadži c et al 48 identified the feasibility of investments in renewable energy systems for shipyards and the use of a photovoltaic power plant for a shipyard, and the potential of wave power parks for shipyards in Portugal was explored by Miglietta 49 and Neumann et al, 50 respectively.…”

Digital Twin and Smart Manufacturing in Industries: A Bibliometric Analysis with a Focus on Industry 4.0

“…Another research conducted a survey for the shipbuilding industry, investigating the adoption level of smart manufacturing and digital twins in eight shipyards from South Korea, proposing a new framework for smart shipyard maturity level assessment. Their results showed that adopting smart technologies for smart manufacturing led to better results than conventional methods [ 38 ].…”