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Capturing cross-border logistics for analysis and improvement

计算机科学 三维旋转形式 独创性 符号 过程(计算) 维数(图论) 元建模 管理科学 软件工程 工程类 定性研究 程序设计语言 社会科学 几何学 数学 算术 社会学 纯数学
作者
Namal Bandaranayake,Senevi Kiridena,Asela K. Kulatunga
出处
期刊:Journal of global operations and strategic sourcing [Emerald (MCB UP)]
卷期号:17 (2): 186-208 被引量:3
标识
DOI:10.1108/jgoss-05-2022-0037
摘要

Purpose Achieving swift and even flow of cargo through the border, the ultimate objective of cross-border logistics (CBL) requires the close coordination and collaboration of a multitude of stakeholders, as well as optimally configured systems. To achieve and sustain competitiveness in a dynamic international trade environment, CBL processes must undergo periodic analysis, improvement and optimization. This study aims to develop a modelling framework to capture CBL processes for analysis and improvement. Design/methodology/approach Relying on the extant literature, a meta-model is developed incorporating significant perspectives required to model CBL processes. Popular process modelling notations are evaluated against the meta-model and their ease of comprehension is also evaluated. The selected notation through evalution is augmented with addendums for a comprehensive depiction of CBL processes. Findings The capacity of role activity diagrams (RADs) to depict all perspectives, including interactions in a single diagram, makes them particularly suitable for modelling CBL processes. RADs have been complemented with physical flow diagrams and methods to capture temporal dimension, enabling a comprehensive view of CBL processes laying the foundation for insightful analysis. Research limitations/implications The meta-model developed in this paper paves the way to develop an analysis framework which requires further research. Originality/value The lack of well-accepted modelling notations for studying CBL processes prompts researchers to search and adapt different formalisms. This study has filled this gap by proposing a comprehensive modelling framework able to capture CBL processes at different granularities in rich detail. Not only does the developed meta-model aid in selecting the notation, it is also useful in analysing the constituent elements of CBL processes.

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