Search results

The productivity of a port is a measure that is important to different stakeholders: port administrators (port authority), third-party logistics providers, manufacturers and consumers, among others. This study analyses productivity in terms of vessel movement efficiencies (loading/unloading of cargo) and container release from port facilities. Both factors add to the overall productivity in any port.

A comparative analysis of the productivity of three ports is measured using a Quality Function Deployment (QFD) and benchmarking analysis to help establish strategies that will help improve productivity. Considering the information confidentially the authors will call the ports according to their geographic location. The ports under study are the USA Southeast Port (Port of America), Central Asian Port (Port of Asia) and Central Europe Port (Port of Europe).

This study has established an analysis strategy that allows seeing points of sale in the ports. This study will compare three different continents, only to demonstrate the applicability of QFD and benchmarking. Still, the strategy can be used in ports that compete due to their proximity and location. Identifying the variables to be analyzed made it possible to establish a strategy to increase productivity.

There are many studies that analyze port productivity, but none try to standardize the variables to be compared in different scenarios. This study has compared three ports from three different geographical areas, using the same variables in all three cases. The study critically analyses the performance of three ports and proposes a strategy based on QFD and benchmarking research.

Ship chandlers’ trucks are now facing challenges owing to their job characteristics, which will lead to low productivity of trucks, congestions and pollutions at the port. The aim of this paper is to identify important causes and the effects of low truck productivity at the port under the demand of sustainable development.

Based on the literature review, potential causes and relevant analysis are developed and carried out by using a systematic approach, incorporating in-depth interviews with experts, cause analysis and risk management process.

Results from the research framework showed that a lack of communication with the port, late arrival of ships, truck congestion and fragmented deliveries are the most important factors that led to low truck productivity at the port. A solution that combines an integrated system that shares real-time information with the port, a consolidation hub and a truck-pooling platform is proposed to comply with green port concepts, together with factors considerations.

Although the operation of ship chandlers’ trucks is a derived business in overall port operations, it is an indispensable element at the port. The findings present a new insight to the relationship between ship chandlers’ trucks productivity and port operation efficiency for industry practitioners and port policymakers.

This study assessed the contribution of containerization to the development of Western Ports, Lagos Nigeria. The aim was to assess the influence of containerization on some indices of port development such as port infrastructure development, ship turnaround time, cargo dwell time and congestion. Questionnaire was used to gather information on the contribution of containerization to change in maritime trade in the country, the influence of containerization on terminal expansion, congestion, level of investment in container port infrastructure as well as the influence of such investment on container dwell time and ship turnaround time (TAT) and the competitiveness of container terminal within Nigeria port systems and with other developed container ports of the world. Secondary data used included statistics of reports of operations of Western Ports between 2000 and 2010 as reported by NPA, as well as reports of some selected ports derived from Containerization International Year Book, which were used in this study for the sake of global reference. Summary tables and ANOVA for the analysis of the data. Results revealed a significant contribution of containerization to maritime trade relative to the ports’ annual records but with no significant influence on ship turnaround time, cargo dwell time congestion which are determinants of port productivity and competitiveness. The study concluded that Western Ports have still not reaped gains of containerization and lacking in competitiveness when compared with other developed ports of the world.

This study aims to investigate the efficiency changes of 23 major Asian container ports for the period from 2000 to 2007. In addition to assess the general trend, it also attempts to decompose the overall efficiency change into technological efficiency change, technical efficiency change and scale efficiency change to help port authorities to devise operational strategies.

The Malmquist index method is used, which is derived from data envelopment analysis. In this model, technological improvement comes from using state-of-the-art technologies, technical improvement is from rationalizing of port inputs and scale efficiency is from adjustment of port operational scales.

On average, the investigated ports have improved their efficiencies by 14.3 per cent. Such efficiency gains can be attributed to a 41 per cent increase in pure technical efficiency, a 47.5 per cent increase in scale efficiency and a 30.5 per cent decrease in technological efficiency. The scale efficiency contributes the most to the overall efficiency improvement, while technical and technological effects seem to have less impact. The fact that technological efficiency has little variance seems to suggest that this source of efficiency gain may not bring substantial competitive advantage.

The sample period is 2000-2007, so the impact from the Asian financial crisis or the economic downturn was not covered. Also, the port throughputs data do not separate shipment and transhipment.

This study provides valuable suggestions to improve efficiency for container ports along the “Maritime Silk Road.”

This study explores the main factors considered when shippers and container shipping lines select their import/export and transshipment ports. In the present study, 38 container port selection indices were chosen from the previous research and field interviews. The scores of the 38 items were collected via survey to the three major maritime/port market players: shippers, shipping lines, and container terminal operators. In order to analyze the different priorities imposed on the port selection factors by the three market players, the ANOVA method has been employed. The empirical test shows the different perceptions about port selection attributes among service suppliers and demanders. In addition, the 38 items have been categorized into seven key factors through an exploratory factor analysis. The ANOVA technique was employed again to analyze the perspective differences for the port selection factors among the market players. The results show that there are significant differences among the players assessing the importance of the three port choice factors: liners and terminal operators give more weight to ‘hinterland and terminal basic conditions’ than shippers; terminal operators do not take ‘line operation’ as seriously as carriers and shippers; the factor of ‘terminal operation’ is more significantly considered by liners and terminal operators than by shippers.

Port competition attracted much scholarly attention in Northwest Europe during the 1980s. Following the rise of powerful economies in East Asia, particularly during the 1980s and 1990s, port competition has become an important phenomenon with the top five container ports in the world being located in the region. This paper aims to overview major port competition issues and outlines and analyzes the main alternative methodologies that researchers have employed to address them, referring to 70 items, mostly papers but including a few books and reports

The purpose of this study is to perform an international comparison of logistics/port operations with a main focus on India.

Using data from the transportation and freight service industry during 2000‐2005, this study first conducts revealed comparative advantage (RCA) analysis to investigate India's logistics competitiveness and then uses data envelopment analysis (DEA) to analyze the efficiency of India's container port operations.

The study's findings suggest that in terms of India's logistics competitiveness, its freight industry is relatively competitive while its transportation industry is not. Overall, while the study indicates that India's largest container port (Jawaharlal Nehru) is not very efficient; the RCA analysis shows that India still has a relative comparative advantage over its industrialized counterparts except for Japan and France in the transportation service industry. Interestingly, the DEA results also indicate that the efficiency value of the container port in India is second only to the US port of Los Angeles among the ports examined in industrialized countries.

RCA indicators are only able to examine past and present industry conditions based on export results, and do not provide a detailed explanation of the reasons for changes in levels of competitiveness. As for DEA analysis, this study focused only on land and equipment as input variables primarily because of a lack of data on worker efficiency. It is suggested that there is an urgent need for an overhaul of port equipment if India wants to accommodate the growing volume of imports and exports in the future.

This paper provides a first step toward gaining insights into India's current logistics/port competitiveness position in comparison with other emerging markets and advanced economies. This paper also contributes to providing a better understanding of the competitiveness of emerging economies (BRICs & Next 11), which are viewed as rising stars and have not yet been fully investigated in the existing literature. Several recommendations are also provided.

Seaports are significant nodal points in any supply chain network. Accordingly, the need to consistently upgrade and further develop processes would bode well for the maritime industry and nations competitiveness. There has been a change in the pattern by which green issues have become significant themes to the global sea transportation players. Developed nations have been the leaders in pursuing green options for future development. This leads to developing nations pursuing the green agenda to stay competitive. As such, Malaysia's desire of being the preferred sea nodal point in Southeast Asia lies in its abilities of seeking innovative processes and business opportunities through green principles. This chapter will focus on:

• • Introducing Malaysia's seaport industry.

• • A review of green management at seaports.

• • The current state of green management implementation at Malaysia's federal ports.

• • Challenges and opportunities for Malaysia's federal ports in pursuing green management.

• Introducing Malaysia's seaport industry.

• A review of green management at seaports.

• The current state of green management implementation at Malaysia's federal ports.

• Challenges and opportunities for Malaysia's federal ports in pursuing green management.

The purpose of this paper is to evaluate the functioning of the main Spanish and Portuguese containers ports to observe if they are operating below their production capabilities.

To achieve the above-mentioned objective, one possible method is to calculate the data envelopment analysis (DEA) efficiency, and the scale efficiency (SE) of targets, and in order to consider the variability across different samples, a bootstrap scheme has been applied.

The results showed that the DEA bootstrap-based approach can not only select a suitable unit which accords with a port’s actual input capabilities, but also provides a more accurate result. The bootstrapped results indicate that all ports do not need to develop future investments to expand port infrastructure.

The proposed DEA bootstrap-based approach provides useful implications in the robust measurement of port efficiency considering different samples. The study proves the usefulness of this approach as a decision-making tool in port efficiency.

This study is one of the first studies to apply bootstrap to measure port efficiency under the background of the Spain and Portugal case. In the first stage, two models of DEA have been used to obtain the pure technical, and the technical and SE, and both the input-oriented options: constant return scale and variable return scale. In the second stage, the bootstrap method has been applied in order to determine efficiency rankings of Iberian Peninsula container ports taking into consideration different samples. Confidence interval estimates of efficiency for each port are reported. This paper provides useful insights into the application of a DEA bootstrap-based approach as a modeling tool to aid decision making in measuring port efficiency.

The learning outcomes of this paper are as follows: to understand the context of seaport logistics and supply chain design structure, to apply Monte Carlo simulation in the interface of the supply chain and to analyze the Monte Carlo simulation algorithm and statistical techniques for identifying the key seaport logistics factors.

It was 9:00 p.m. on November 10, 2020, and Nishadh Amonkar, the CEO of OCTO supply chain management (SCM) was glued to the television watching the final cricket match of the Indian Premier League, 2020. Amonkar’s mobile phone rang and it was a call from Vinod Nair, a member Logistics Panel of Ranji Industries Federation. Nair informed Amonkar that it was related to the rejection of several export consignments of agricultural products from Ranji (in the western part of India). The rejection was due to the deterioration in the quality of the exported agricultural products during transit from Ranji to various locations in Europe.

This course is suitable at the MBA level for the following courses: Operations research (Focus/Session: Applications on Monte Carlo Simulation). SCM (Focus/Session: Global SCM, Logistics Planning, Distribution Network). Logistics management (Focus/Session: Transportation Planning). Business statistics (Focus/Session: Application of Hypothesis Testing).

Teaching Notes are available for educators only.

CSS 9: Operations and logistics.