A two-stage parallel network DEA model for analyzing the operational capability of container terminals. Issue 1 (14th January 2022)

• Record Type: Journal Article
• Authors: Park, Jaehun; Lee, Byung Kwon; Low, Joyce M.W.
• Is Part Of: Maritime policy & management. Volume 49:Issue 1(2022)
• Page Start: 118
• Page End: 139
• Publication Date: 2022-01-14
• Subjects: Operational capability -- resource sharing -- parallel network structure -- data envelopment analysis (DEA) -- container terminal -- alignment of management directive; Marine resources -- Periodicals; Shipping -- Management -- Periodicals; Policy sciences -- Periodicals; 333.9164
• DOI: 10.1080/03088839.2020.1859148
• Languages: English
• ISSNs: 0308-8839

Abstract

ABSTRACT: This study proposes a systematical approach to evaluate the operational capability of container terminals and discusses the effect of resource usages on operational performances. Two inter-dependent processes (i.e. the loading-discharging (L&D) and the delivery-receiving (D&R) operational processes) with shared/non-shared resources and common/separate productions are examined and characterized as a two-stage parallel network. An evaluation model is developed upon the principles of data envelopment analysis (DEA) to assess the operational capability of the terminals. Using the real-world dataset of 9 container terminals at Port of Busan, comparative performance results are obtained for 5 years spanning across 2014–2018. The proposed model demonstrates a much stronger discriminative power compared to the traditional CCR model in its estimations of performance in the decision-making units (DMUs). It can also be inferred from the results that efficiency in operations is a key qualifier for container volume while the market aggressiveness lends a competitive edge and reinforces a positive outcome on the performance of a container terminal. The study further examines the influence of management directive on a terminal performance and confirms that alignment of management directive with the operational capability of L&D and D&R processes is important in maximizing terminal throughout.