Orthogonal LS-PLS approach to ship fuel-speed curves for supporting decisions based on operational data. Issue Volume 31:Issues 3(2019) (3rd July 2019)

• Record Type: Journal Article
• Authors: Lepore, Antonio; Palumbo, Biagio; Capezza, Christian
• Is Part Of: Quality engineering. Volume 31:Issues 3(2019)
• Page Start: 386
• Page End: 400
• Publication Date: 2019-07-03
• Subjects: Control charts -- hotelling control charts -- multivariate control charts -- process monitoring -- regression estimation -- statistical decision-making; Quality control -- Periodicals; Production management -- Quality control -- Periodicals; 658.5
• DOI: 10.1080/08982112.2018.1537445
• Languages: English
• ISSNs: 0898-2112

Abstract

Abstract: The shipping industry relies on ship fuel-speed curves to describe the fuel consumption (and CO2 emissions levels) per hour as a function only of the vessel's speed over ground, based on dedicated test data. However, they are affected by additional factors in real cases. In this article, a novel method is developed elaborating the orthogonal least-squares partial least-squares (LS-PLS) approach to enhance fuel-speed curves accuracy when information is available on additional factors from multi-sensor systems. Through real data examples, the approach is shown capable of detecting anomalies in CO2 emission levels and testing the effectiveness of ship energy efficiency initiatives.