作业成本法在远洋集装箱运输企业的应用探讨

论文根据作业成本法的特点,对其在远洋集装箱运输企业应用的适用性作出探讨,并列出了远洋集装箱运输企业作业成本的计算过程。     

Analyzing ship investment behaviour in liner shipping

This study analyzes capacity expansion and ship choice decisions. Theoretically, we derive the probability of capacity expansion as a function of market and company attributes and characterize the impacts of these factors on expansion decisions. Empirically, we analyze ship investment and ship choice behaviour using binary choice and nested logit models based on ship investment data from major liner shipping companies over the period 1999 to 2009. Most expansion decisions are found to be market-driven, and large companies expand to maintain their market shares. In terms of ship selection, statistical results support the assumption that shipping companies decide on a new order or second-hand purchase before considering the ship size. Also, new orders are preferable to second-hand purchases. For new orders, the preference increases with ship size, and decreases with shipbuilding length and demand growth rate. For all ship types, the preference increases with a high and stable time-charter rate. For second-hand ships, handysize is the most preferable size. The substitution of new orders and second-hand purchases is possible, but not symmetrical.     

Optimizing shipping company operations using business process modelling

In order to identify the elements constituting quality in services, a business process modelling methodology has been applied in the case of a Greek liner shipping company. The company operations have been identified and analysed in order to assess the complete performance of service elements and thereafter identify how to match the service performance against the user requirements. A liner container service within Europe has to compete with the road transport which, in many cases, is an alternative to the sea transportation and not complementary to it. Thus, not only the ship has to be envisaged when aiming to improve quality in services but also the whole chain, namely port authorities, land transportation enterprises, subcontractors, agents, charterers and others. A set of potential improvements within this framework are thus suggested and time and cost (examined in a specific voyage scenario) are measured before and after the implementation of these measures. Very large time and cost savings are observed after the application of the technology improvements, allowing, in fact, the shipping company to even increase the number of round trips per year in the examined route. This indicates that very large benefits can be drawn by analysing and critically adjusting business processes in modern shipping companies.     

Optimizing shipping company operations using business process modelling

In order to identify the elements constituting quality in services, a business process modelling methodology has been applied in the case of a Greek liner shipping company. The company operations have been identified and analysed in order to assess the complete performance of service elements and thereafter identify how to match the service performance against the user requirements. A liner container service within Europe has to compete with the road transport which, in many cases, is an alternative to the sea transportation and not complementary to it. Thus, not only the ship has to be envisaged when aiming to improve quality in services but also the whole chain, namely port authorities, land transportation enterprises, subcontractors, agents, charterers and others. A set of potential improvements within this framework are thus suggested and time and cost (examined in a specific voyage scenario) are measured before and after the implementation of these measures. Very large time and cost savings are observed after the application of the technology improvements, allowing, in fact, the shipping company to even increase the number of round trips per year in the examined route. This indicates that very large benefits can be drawn by analysing and critically adjusting business processes in modern shipping companies.     

Voyage-based statistical fuel consumption models of ocean-going container ships in Korea

ABSTRACT

Accurately estimating fuel consumption of ships is crucial for shipping companies, port authorities, and environmental protection agencies. The bottom-up approach is becoming increasingly popular because it can estimate ship fuel consumption by accounting for ship activity conditions, such as changes in voyage speed, time, and distance; however, its use is still limited when estimating ship fuel consumption. Ship-specific information, such as the daily fuel consumption rate for main and auxiliary engines for every vessel, is expensive to gather, and generally not collected from private shipping companies. To address this research gap, we develop simplified and composite ship fuel consumption models for ocean-going container ships by size using a regression model. To estimate the fuel consumption models for container ships, we rely on ship activity data, including average speed and sailing time, distance, and actual fuel consumption for main and auxiliary engines. This information is obtained from a major container shipping company in Korea. We estimate and validate the parameters associated with fuel consumption for five different container ship sizes, all of which are smaller than the Post-Panamax container ship (15,000 TEU and above).     

Management control systems and performance: evidence from the Greek shipping industry

This study explores how Management Control Systems (MCS) enhance the performance of shipping companies. Based on data collected from semi-structured interviews, MCS are distinguished in three categories according to the purposes they fulfill: “Basic MCS” are implemented in order to set standards and support basic operations of the business, “Cost MCS” collect information about cost minimization while “External Information MCS” focus on compliance with the requirement of the cargo owners. Furthermore, evidence collected through a survey instrument addressed to shipping companies located in Greece suggests that the choice of MCS is contingent upon the strategy pursued by the shipping companies. Moreover, this paper tests whether shipping companies with an optimal fit between their strategies and their MCS experience superior business performance and a higher perceived usefulness of MCS. Results reinforce the notion that the performance of the shipping companies is contingent on the use of those control systems which are consistent with their strategies and a number of control variables such as experience of the person implemented the MCS, the size, and age of company.     

The human talent and its role in ISM Code effectiveness and competitiveness in the shipping industry

The present study empirically evaluates the role of human talent in the effective implementation of quality management systems in the shipping industry context. Specifically, we analyze the relationships among top management commitment to quality, ISM (International Safety Management) Code effectiveness and competitiveness as well as we assess the influence of talent in these associations. We test our research hypotheses using a sample of 199 shipping companies located in Greece. The findings show that ISM Code effectiveness acts as a mediator between top management commitment and shipping company competitiveness, while the different talent philosophies were found to moderate this relationship.     

Risk perception affecting the performance of shipping companies: the moderating effect of China and Korea

Risks in the shipping industry have been highlighted and have attracted significant attention, especially following the bankruptcy of Hanjin in 2017. Due to the decrease in container volume, the business environment for large shipping companies in China has deteriorated. Therefore, major large shipping companies have implemented mixed ownership reform, which provides more opportunities for large Korean shipping companies to enter the Chinese shipping industry. This study first identifies risk perception, specifically focusing on the moderating effect of Chinese and Korean shipping companies, and then demonstrates the impact of these risks on shipping company performance. The results show that market, operational, and technical risks have a negative influence on Chinese shipping companies, whereas market, policy, financial, operations, and technical risks have a negative influence on Korean shipping companies. This study contributes to the fundamental understanding of the effect of risk perception on performance among shipping companies in both countries and calls for further research on risk management plans based on the risk factors identified herein. On a practical level, this study provides an important reference for operators and investors who seek to enter strategic alliances or joint venture in Chinese shipping industry.     

Development of early warning index in Korean shipping industry by using signal approach

ABSTRACT

The study aims to investigate and prevent shipping companies’ insolvency that can be derived from depressed market sentiment in the shipping industry. For this purpose, the paper focuses on developing an early warning index. The main factors that contribute to the change in the shipping industry are derived. Sixty independent variables were accounted in the development of early warning index, some of which are shipping, shipbuilding, and finance. Suggestions drew from the result of early warning index are described as below. Firstly, the results of a signal approach towards independent variables showed lowest the signal error value in newbuilding price of containership, bunker price, Commodity Research Bureau (CRB) commodity index, and order book of bulkship. These indicators have proven to be a high level of variation factor during shipping markets’ crisis. Secondly, the early warning index confirmed that it preceded by 6 months compared to probability of default. Thirdly, in order to validate the accuracy of the early warning index, the adequacy of the model was tested using a mean square error and time lag correlations. As a result of the verification, value proved to be at a high level of compliance at 0.097.     

Implementing the street-turn strategy by an optimization model

The street-turn option represents a major strategy for the profitability of shipping companies supplying container-based transportation. This option consists in the distribution of trucks delivering loaded containers to import customers, the subsequent allocation of empty containers to export customers and the final dispatch of loaded containers to departure ports. However, the determination of truck routes is a time-consuming activity for shipping companies, because available information can suddenly change while they are making their decisions. In this paper we aim to propose a decision support tool to quickly determine truck routes and implement the street-turn strategy. This tool is based on an optimization model determining the allocation of empty containers between customers and defining truck routes in a post-optimization phase. We compare routes resulting from the proposed model to the decisions of a real shipping company. Early results indicate that this approach represents a promising support for shipping companies in dealing with street-turns. It can significantly reduce distances travelled by trucks and times requested to determine routes.     

The performance effect of innovation in shipping companies

The aim of this study is to investigate how innovation contributes to company performance in Norwegian shipping and to extend our knowledge concerning what organizational and inter-organizational factors influence innovation in shipping firms. The study is based on a survey of 46 Norwegian shipping companies. We find that innovation contributes to firm performance. We also find that a conscious strategy, strategy involvement, external relationships, especially market relationships, and productivity slack have a significant positive effect on the degree of innovation. The results are dependent upon the companies’ degree of differentiation and the type of innovation.     

A reactive container rerouting model for container flow recovery in a hub-and-spoke liner shipping network

This paper focuses on the container rerouting due to a disruption, aims at making the optimal container flow recovery plan for the affected liner shipping company. First, we make the initial effort to bring up with a basic framework of disruption management for liner shipping. Second, we present a compact integer linear programming model for addressing the container rerouting problem under the proposed framework in a hub-and-spoke liner shipping network, based on a given recovery vessel schedule that determines to omit a port of call. Other shipping companies’ services and other modes (roadway, railway, and airline) as candidate alternative means to transport the miss-connected containers are also incorporated in the proposed model. The container flow recovery plan would select the optimal alternative paths for the miss-connected containers balancing the trade-off between container transport costs and delivery delay penalty costs. Finally, a case study from a global liner shipping company is investigated and the computational results indicate the model can be solved effectively and efficiently for the real-scale problem. Thus, the proposed approach in this paper can supply real-time decision support tool for the liner shipping operators on handling the process of container flow recovery.     

Cost analysis of bulk cargo containerization

ABSTRACT

Bulk cargo containerization (BCC) involves changes in the transportation mode of container shipping for cargo that uses bulk carriers without packing. This topic has recently attracted considerable attention as an alternative transportation method for container cargo. BCC is advantageous because it can address imbalances in the amount of cargo conveyed between the main and back hauls, thereby improving efficiency. A previous survey among companies involved in cargo shipping revealed that in addition to ocean freight, vanning and devanning, and customs clearance costs, consignees’ decisions were the key factor in selecting transport modes. The present study aims to clarify the cost competitiveness of container shipping and identify cost reductions that may increase the use of BCC. To quantitatively check the results of the survey employed in this study, we constructed a model based on consignees’ and container shipping companies’ costs to determine the choice of transport mode for back-haul trade, then examined the incentives for consignees and shipping companies. We found that BCC can be realized by cost reduction on the part of the consignee and profit improvement on the part of the container shipping company for some routes and goods. Although reducing the freight rate would effectively promote BCC, reducing other costs would not have the same effect.     

A performance evaluation model for supply chain of shipping company in Iran: an application of the relational network DEA

Shipping business is capital intensive and highly competitive. It necessitates for the shipping companies to constantly monitor their performance and measure relative efficiencies of their supply chains. Despite such importance, the studies devoted to this field have been surprisingly limited. This paper reviews the involved factors and proposes a relational network data envelopment analysis (DEA) model for measuring the efficiency of supply chain of an international shipping company in Iran with relevant sub-processes in the period 2008–2011. First, the supply chain network of the company is illustrated and then the input and output variables associated to each member are determined. The proposed model is suitable for shipping companies which usually use similar pattern in this business. Finally based on the results, recommendations are made for improvements and a new field of business is also proposed.     

The performance effect of innovation in shipping companies

The aim of this study is to investigate how innovation contributes to company performance in Norwegian shipping and to extend our knowledge concerning what organizational and inter-organizational factors influence innovation in shipping firms. The study is based on a survey of 46 Norwegian shipping companies. We find that innovation contributes to firm performance. We also find that a conscious strategy, strategy involvement, external relationships, especially market relationships, and productivity slack have a significant positive effect on the degree of innovation. The results are dependent upon the companies' degree of differentiation and the type of innovation.     

Complexity theory applied to management of shipping companies

Theory of complexity , in the author's opinion, describes life better than the hitherto available theories, as it deals more effectively with dynamic, non-linear and cyclical phenomena. The author will here attempt the application of the theory of complexity to the management of shipping companies , especially those of Greek management style. This paper will also deal with the relationship of competition in shipping. The question that will be put and answered is whether a firm should be a hierarchical, inflexible structure, ordered from above. If, however, a company is seen as a self-organized emerging order, then a new approach must be adopted, i.e. that of complexity theory. The choice of the above combination is because a shipping environment is indeed unpredictable, volatile, cyclical and international, as well as complex. It is believed that this new theory can yield a new, more pragmatic, insight into the way shipping companies and ships should be managed. The innovative element of this work is that it will be the first time internationally (except for the work of Li and Parsons [1]) that the theory of complexity will be applied to shipping. In addition, no previous attempts have been made to apply this theory to management of shipping companies.     

Korean liner shipping in the era of global alliances

In the course of the last two decades Korean shipping has emerged as a major player in the liner market. In 1970 there was not a single container ship in the Korean fleet; yet, within the next two decades, shipping companies from Korea have become included among the top 10 liner operators in the world, in the context of a spectacular ascent of Asian companies in international container shipping. During the same period the organization of liner shipping itself underwent major changes. In the 1970s and 1980s, pools and powerful consortia prevailed, maximizing frequency and optimizing fleet deployment under pressure from the high investment entailed by containerization. The era of consortia, however, came to a close in the early 1990s; intermodalism and the expansion of the major liner companies into forward and backward segments of the transport chain rendered them inflexible for pursuing individual strategies of product diversification with a view to larger market shares. Global alliances were finally born as a result of a major reshuffling of co-operation agreements and of the globalization of the production process on the demand side. The aim of this paper is to follow and assess the options available to an aggressive low-cost national fleet in its journey to competitive maturity through a period of changing organization of liner shipping, focusing on the course of the leading Korean container company, and one of the largest in the world today, Hanjin. It highlights at the same time both the deep structural changes which liner shipping has undergone in the last two decades and the effects of current changes, such as the recent wave of mergers in this sector.     

The relative efficiency and financial risk assessment of shipping companies

Since shipping companies are highly competitive, we ask whether financial risk assessment tools impact company performance and, therefore competitiveness and efficiency. Stochastic Frontier Analysis (SFA) is used in the evaluation. Based on distinct features of the risk-return relationship, three cargo segments in the shipping industry are studied—dry bulk, liquid bulk, and containerized cargo. The influence of the risk assessment indicators on market and operational efficiency is subsequently determined using a panel regression to determine whether different asset allocation and risk management techniques improve the performance of shipping companies. In this analysis, 79 international shipping companies listed in Bloomberg Shipping Indices are included in the data collected from Thomson One for the period of 2001–2010. Efficiency estimation from the SFA shows that containerized cargo firms have better performance in both market and operating efficiencies. Operating efficiency performance is achieved by lowering liquidity. Market efficiency is improved by well-managed leverage level.     

国际航运物流虚拟联盟伙伴选择研究

提出了国际航运物流虚拟联盟的概念,介绍了国际航运物流虚拟联盟合作伙伴的选择程序。根据合作伙伴选择评价的原则和我国航运物流企业的现状,初步构建了国际航运物流虚拟联盟合作伙伴的选择评价指标体系,然后采用调查问卷的形式,对选择评价指标体系进行了修正。以鼎盛航运物流公司为例,采用层次分析法(AHP)对国际航运物流虚拟联盟进行了实证分析,结果合理、实用。     

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