Asian Journal of Shipping and Logistics最新文献

This paper develops conceptual value chain alliance models through literature review and case studies. And it analyzes economic, industrial and logistics environments of Vietnam, Indonesia, Thailand, Myanmar and Ghana. Then the structure, flow and partnership of VC and SC and willingness to participate in the alliance of manufacturers, distributors and logistics firms in those countries are analyzed, through literature review, questionnaire analysis, site visits, interviews and case studies. Based on such analyses, the business models and strategies for global alliance among VC participants including manufacturers, distributors, LLPs and logistics SMEs are developed.

This study attempts to take a close look on corporate governance, board practices and performance of shipping firms in Bangladesh. The study has conducted a survey on 24- shipping firms operated in Bangladesh and collected perceptional data from top tier executives and factual data from firms balance sheet and income statement. The results of descriptive statistics show that most of the firms’ managers are not aware about the corporate governance and board practices of the firm. Moreover, there is significant lack of transparency in the board practices documented among the shipping firms in this study. The results of regression analysis confirm that board ownership, board leadership, board size, and firm size have significant impact on firm performance. Moreover, factual analysis results show that board leadership has significant impact on firm performance. However, this study also confirmed that board composition has no significant impact on firm performance in the context of Bangladeshi shipping firms. Thus, this is of the essence to spotlight on corporate governance policies in the shipping firms to make legal aspects of board practices to escalate the growth of shipping industry in Bangladesh.

Reasonable layout of logistics centers in the ASEAN countries has important practical significance for improving logistics network efficiency and reducing logistics transportation costs. This paper based on the current status of the ASEAN logistics network and the characteristics of the hub-and-spoke network, taking the minimum total cost as the optimization goal, establishing the central location model, and the design self-adaptive genetic algorithms to solve it. Therefore, the number of central nodes in the ASEAN logistics network has been determined, the radiation range between nodes, and route allocation. The results indicate that the ASEAN network layout model is a hub-and-spoke logistics network. With Singapore as the logistic center hub node. Jakarta logistics development belt will form the main radiating logistics demand cities of Kuching and Ho Chi Minh city. Kuala Lumpur logistics development belt’s main radiating logistics demand cities will be East Kalimantan and Da Nang city. Chon Buri logistics development belt mainly radiates the cities of Phnom Penh and Riau city. Bangkok logistics development belt mainly radiates the cities of Hanoi, Vientiane, and Yangon city.

Maritime transportation is preferred over other transportation forms for trade and has seen a significant increase worldwide. One of the problems that often occur in maritime transportation is the high cost because vessels' availability and capacity will always be the same while the demand tends to increase and erratic for each period. A mathematical model was developed in this study to determine the optimal value of container cargo and shipping frequency simultaneously to minimise the shipping cost for each voyage. To solve the container cargo optimisation problem, we presented an integer linear program, while for the scheduling, we used the greedy algorithm. Microsoft Excel Solver and LINDO software were used to solve the problem in this study. We provided computational calculations to simulate our mathematical model. The results show that the developed model produces feasible solutions for all scenarios due to the objective function and the constraints. Overall, our scheduling results can reduce the shipping frequency. The optimal solution value of container cargo and the scheduling results for each scenario are different because the total number of transported containers for each scenario is different.

Despite the dominance of the Caribbean as the leading cruise destination in the world, research that focuses on the network of cruise ports in the region is limited. To fill this research gap, the current study carried out social network analysis (SNA) to inquire into cruise port interconnections and their influence on the operation of the entire Caribbean port network. The results are summarized as follows: First, in terms of connections among ports linked to the Caribbean region, a European port and a Southampton harbor exhibit the most significant in-degree and out-degree centrality. Nevertheless, ports within the Caribbean region are still significantly represented as regards both indexes. Second, in the matter of port influence, Caribbean ports are considerably the most important with respect to hub and authority centrality (HAC), especially those located in Florida and the eastern Caribbean. This research contributes to industry through its presentation of an extended panorama of the cruise network in the region, subjecting several ports to respective analyses that describe their principal characteristics and attractiveness in the industry.

The selection of foreign-registered ships upon entering ports poses challenges to maritime authorities in ensuring the effectiveness of the port state control (PSC) inspection. The derived data from the ships' arrival notification system has been utilised in this study to identify the preferred vessel type for inspection. A combination of the Grey Relational Analysis (GRA) model and Entropy Weight Method (EWM) has been applied to discern the various types of ships that entered five selected ports in Malaysia and disclose the propensity of each vessel type. Based on 100,623 ship arrival records obtained for a period of five years (2015–2019), the types of ships were identified, analysed, scored, and graded. The result shows that the oil tanker has the highest value of grey relational grade for Bintulu port while the passenger ship is in the pole position for Penang port. Kuching port and Port Kelang share the container type as the first in the ranking, whereas Lahad Datu posted the oil tanker. Other results include the sequence of types at individual ports for providing useful information to help policymakers in establishing an effective inspection design. A similar approach is applicable in PSC inspection records for further analysis.

It is well known that the international logistics and supply chains are subject to the domination of seaports and shipping lines each with increasingly significant market power. This implies that international supply chains, which typically involves sea transport as a key chain segment, could be subject to the double marginalisation problem. This means, chain operators are likely subject to both technical and allocative efficiency issues. The former is related to the use of inputs in production and distribution, and the latter is generally related to the market structure that affects resource allocation. The current study seeks to study the simultaneous relationships between three components, namely logistics integration, technical efficiency, and allocative efficiency in international container shipping. Exploratory factor analysis and structural equation modelling are conducted using data collected from a survey of global shipping lines. The analysis results show that logistics integration comprises of two main interrelated aspects, namely relational integration, and operational integration. It has significant effects on both technical and allocative efficiency. Technical efficiency and market contestability are affected by relational integration, while allocative efficiency and infrastructure capacity are affected by operational integration. Based on the analysis results, implications for port, terminals and stakeholders are also discussed.

The efficiency of logistics is a determinant in developing trade cooperation between regions. Many areas in the eastern part of Indonesia have a flawed logistics system that results in a low level of competitiveness. The paper analyses local ports’ performance and maritime logistics impact on the small island economy in East Indonesia, especially in the North Maluku Province. The research method used the survey and the Stochastic Frontier Analysis to measure each local port's performance in which Gross Regional Domestic Product (GRDP) per capita constitutes the output variable. While GRDP, number of cargo throughput, number of port labor, inland connection, loading and unloading tariff, and sea freight cost are input variables. The results show that the loading and unloading tariffs and sea transportation costs harm the GRDP per capita of the respective small island districts. Other findings suggest that the port of Morotai, Central Halmahera, North Halmahera, and Ternate have a higher level of technical efficiency than those in East Halmahera, South Halmahera, Sula, and Tidore. Low port efficiency can disrupt the distribution of goods between islands, resulting in higher logistics costs. The limited data and the small scope of the area is the restriction of the study.