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  • 1
    Publication Date: 2018-12-07
    Description: Purpose: The purpose of this paper is to devise a efficient method for the importance analysis on Port Throughput Influence Factors. Design/methodology/approach: Neighborhood rough sets is applied to solve the problem of selection factors. First the throughput index system is established. Then, we build the attribute reduction model using the updated numerical attribute to reduction algorithm based on neighborhood rough sets. We optimized the algorithm in order to achieve high efficiency performance. Finally, the article do empirical validation using Guangzhou Port throughput and influencing factors' historical data of year 2000 to 2013. Findings: Through the model and algorithm, port enterprises can identify the importance of port throughput factors. It can provide support for their decisions. Research limitations: The empirical data are historical data of year 2000 to 2013. The amount of data is small. Practical implications: The results provide support for port business investment, decisions and risk control, and also provide assistance for port enterprises' or other researchers' throughput forecasting. Originality/value: In this paper, we establish a throughput index system, and optimize the algorithm for efficiency performance.
    Keywords: ddc:650 ; rough sets ; neighborhood rough sets ; port throughout ; throughout indicator system
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: English
    Type: doc-type:article
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  • 2
    Publication Date: 2018-12-07
    Description: Purpose: There is a widespread recognition of the importance of correctly modeling service processes as an effective way to provide a comprehensive understanding of the process and to enhance the service quality to clients. Taking this into account, this paper aims to construct the logistics service process model using the integration of the declarative approach and imperative approach. Design/methodology/approach: A methodology integrating the declarative and imperative process modeling approach is proposed for modeling the logistics service processes. Through investigation of the service departments and services involved, the process is decomposed into loosely-structured parts modeled by a declarative approach and highly structured parts modeled by an imperative approach. The loosely-structured and highly-structured parts are then integrated to form the model for the logistics service process. Findings: Through a case study for a Chinese bulk port, the integrative method proves to be effective in modeling the loosely-structured logistics service processes. The result model is able to express the logistics regulations and corresponding rules across different organizations as well as the strict execution order of the process activities inside a particular organization. Originality/value: The model could be the starting point for further logistics service process investigation. Future work could be conducted for conformance checking of the logistics service process using the model as a reference model.
    Keywords: ddc:650 ; logistics service process ; process modeling ; declarative approach ; imperative approach
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: English
    Type: doc-type:article
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