Integrating the Additive Seasonal Model and Super-SBM Model to Compute the Efficiency of Port Logistics Companies in Vietnam

Abstract

The growing trade process is pushing the importing and exporting ratio of products at ports in Vietnam. The total amount of goods is determined by analyzing the effectiveness of products that are delivered at ports. Thus, this research presents a whole performance picture of the port logistics operation process at two airports and six seaport logistics companies in Vietnam to describe exchanging products by utilizing additive trend methods to formulate the efficiency and rank them from previous periods to future terms. Based on the prediction analysis, the best accuracy result is calculated by the additive Holt Winters method when the mean absolute percentage error (MAPE) indicators remain at the standard level, and its average qualification is also the lowest. Combining the actual and prediction values, the ranking of all ports accordingly by year during the past, current, and future time periods from 2011-2022 is obtained after calculating the final efficiency via the super-SBM model. The empirical result of the current and estimated efficiency denotes that Da Nang port logistics is always selected as the best port logistics company and maintained the first ranking with consistently high scores on the basis of the performance qualification. The empirical analysis result proposes the status quo of port logistics companies in Vietnam from the past to future to describe the amount of exchanging goods.

Selecting Suitable, Green Port Crane Equipment for International Commercial Ports

“…Subsequently, Banker et al [28] extended the DEA model to cover variable returns to scale (VRS). Since then, DEA models have been extended to other practical domains in the form of super-efficiency models [29][30][31], cross-efficiency models [32,33], SBM models [34,35], super-SBM models [36,37], and network DEA models [38][39][40].…”

Empirical prediction intervals for additive Holt–Winters methods under misspecification

“…Holt–Winters methods have been popular in business and industry for decades. They are widely used in providing point forecasts in many real applications (Liu & Wu, 2022; Wahyuningsih et al, 2018; Wang et al, 2018; Wan & Li, 2018) as they are easy to interpret and require little computer storage; see Hyndman et al (2008). However, less attention has been paid on building prediction intervals for Holt–Winters methods.…”

Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China

“…The super-efficiency slack-based measurement model (Super-SBM) proposed by Tone, is an improvement on the SBM model, allowing efficiency values greater than 1 to be used to further rank the SBM-efficient decision-making units (DMUs) [ 24 ]. The Super-SBM model has been applied in different areas, i.e., in industrial sectors [ 25 ], for low-carbon economy efficiency [ 26 ], in commercial banks [ 27 ], and for transportation carbon emissions efficiency [ 28 , 29 ], however little research has taken place in the context of logistics [ 30 , 31 ]. Wang computed the efficiency of port logistics companies base on the Super-SBM model [ 30 ], while Long combined Super-SBM model and the Malmquist–Luenberger index to evaluate the ecological logistics efficiency of regions along the Yangtze River economic belt [ 31 ].…”