damoon razmjooei

The maritime industry, Similar to many other sectors, is adopting Industry 4.0. The implementation of Industry 4.0 presents significant advantages to the marine industry including, creating new value, fostering cooperation between port actors, and reducing operational costs. This paper analyzes the most intellectual structure of Industry 4.0 and maritime research. To identify the main clusters of this research, a document co-citation analysis was applied. Furthermore, the trend of total publications, the most cited authors, Geographical distribution, and cooperation of countries of this domain was analyzed with the help of CiteSpace and Histcite Software packages. The data collected for bibliometric analysis were collected from the web of Science from 2011 to 2021. The results reveal that the number of publications in Maritime 4.0 has significantly increased since 2011 and will continue to grow rapidly in the next few years. Regarding the Geographical Distribution of Publications in the research domain, such publications primarily originate from People R China, the USA, and Italy. According to document co-citation analysis, Digitalization, Artificial intelligence, and Blockchain are the most active clusters of maritime 4.0 research.

Port operation and cargo handling process involves integrated activities in which any delay or stoppage results in a bottleneck in the port process. This in turn leads to a dramatic escalation in ship and cargo dwell times at anchorage, seaport terminals, or exit gates. Increasing cargo dwell time not only depreciates port equipment but also decreases port efficiency dramatically. The objective of this paper is to develop a modeling approach using the concept of System Dynamics (SD) to simulate variables affecting inventory optimization at Emam Khomeini seaports. To find proper actions by which seaports can optimize the inventory, dynamic of various variables such as dwell time, and the number of human resources and equipment simulated during 2006 to 2031. The overall results show that warehouse traffic is highly sensitive to cargo dwell time, while this is less for the quay inventory variable. The analysis shows that the 30% reduction of cargo dwell time in inventory fluctuations is much more than the 30% increase in the workforce. One solution could be increasing storage area which, apart from being a very expensive investment, maybe not be feasible due to space limitations. Consequently, terminal operators are trying to decrease average dwell time. In order to do so, the main factors which influence the number of days a container stays in the terminal need to be determined.

This research surveys Khorramshahr port solutions about empty container crisis and identifies reasons for adopting strategies and effective factors on it. At first, the researcher attended the Khorramshar container terminal while observed empty container management procedure and interviewing with responsible persons of  Khorrmshahr container terminal and container shipping company Hoopad Darya. During the interviews, the researcher could find information about possible solutions for empty container management. After detecting possible management strategies for decreasing amount of empty container movements and it’s costs, strategies prioritized by aid of industry experts and using AHP method. Finally, the amount of export and trade imbalances recognized as the important factors for accumulation of empty containers. This research based on objective is an applied research and based on nature is mixed research. The results of research shows that the best way of empty container management is creating private yards outside Khorramshahr areas and completing dry port and land transportation of empty containers to Immam Khomayni port. Final part of research is offering applied suggestions.

An industry 4.0 concept has received global concern as a research focus in recent years. Following an increasing interest in the area that merges digital /industry 4.0 technologies in the maritime field, this paper aims to identify the technologies of industry 4.0 and find out how they are connected in the maritime domain. To do this a bibliometric analysis of keyword co-occurrence was applied in this paper. VOSviewer software package was adopted as a bibliometric analysis tool and the Web of Science Core Collection (WoSCC) database was used as the primary source for data collection. The research population consists of scientific products indexed in the WebScience database from the period of 2000 to 2021. The findings indicate that industry 4.0 is a new concept in the maritime domain. Furthermore, among industry 4.0 technologies big data and artificial intelligence had been widely studied keywords in the maritime context. While this research didn’t provide strong evidence for the emergence of 3D printing in the maritime domain which requires further research.

Ports in order to increase income and prosperity looking to create attractions and incentives to attract shippers and ship owners. Port in a geographic area has the potential for development can play a central role or hub port compared to other competitors, and attract more goods and thus better economic situation. Increased competition to attract companies and ships in the Persian Gulf ports of Jebel Ali and surveying the challenges and factors affecting hub ports are necessary southern Iran.The first three southern port of Chabahar, martyr Rajai and Imam Khomeini, the hub of the five main indicator of geographic location, operations, Hinterland, economic and customs using multi-criteria analysis, AHP model were compared and prioritized. The results of the analysis shows that the indicators, factors related to the geographical location of the 50.7% and 5.6% respectively, the highest and lowest priority customs and the best port, Port martyr Rajai weighing 64.6% of the greater importance of the hub is entitled to two ports.The second section examines the significance of each of the factors affecting the martyr Rajai Port Hub latest deals. Statistical information for the analysis and testing hypotheses from binomial test was used and the application spss16. The results show that the port services, port location, Infrastructure and superstructure and speed Customs the most effective and the least impact on the dry port hub is the latest martyr Rajai port.

The present study aimed to investigate the relationship between emotional intelligence and self-efficacy based on job performance of Khoramshahr port personnel. All 340 personnel of the Khoramshhar port were considered as target population of the study. Simple random sampling technique was used in this study. The research studied consisted of 181 personnel using both Cokaran and Krejcie and Morgan table to determine sample size. To collect data the participants were asked to answer three different questionaire including Bradberry and Greaves Emotional Intelligence, Riggs and Knights’ Self- Efficacy as well as Paterson’s Job Performance Questionnaire forms. Pearson correlation coefficient, regression analysis and Analysis of variance were used to calculate the relationship between emotional intelligence and self- efficacy as and job performance as. SPSS was used to perform the data analysis and for hypothesis testing. The result indicated that there was no relationship between emotional intelligence and job performance of the khormashahr port personnel. However there was a positive relationship between self- efficacy and job performance among the personnel. In other words self- efficacy had an important role in job performance. The study further revealed that emotional intelligence plays an important role on self- efficacy variable so that they affect each other.

Anzali port as a major and oldest port in north of Iran plays a significant role in cargo transit. A clear identifying of the key situation of this port in North- south Coridor as well as implementing appropriate transit strategy will help the performance of this port through attracting more cargo.In this research first the weakness and strengthens (Internal Factors) as well as treats and opportunities (External factors) of Anzali port are identified and evaluated through SWOT analysis.
Analyzing the internal factor evaluation matrix shows that “entering ship to the port without delay” and ” the high rate of cargo handling” are major strengths in functional area of this port while “the lack of coordination among port and other organisation” as well as “ lack of Storage” are the most dominant weaknesses. Results for evaluating external factors indicate “increasing transit income” as the best opportunities and “sever competition in attracting cargo transit” as an important threat.
Finally, QSPM technique is applied to evaluate the alternative strategies in this port. Comparing eight key selected strategies indicates that “attracting merchant”, “keeping the fixed customers” and “overhauling port facilities” have the most priority respectively.To provide the total weighted scores in SWOT and the relative attractiveness of QSPM, two separate Likert scale questioner forms are distributed among 16 experts of Anzali port.

Ports play an influential and determining role in the world trade, such that, about ninety five percent of import and eighty five percent of export are approximately carried through the ports. Identification of variables and effective factors on container trade growth as well as relationship condition between these variables could result in forecasting strategies and activities pertaining to development of this trade. The prominent issue for container terminals is performing the activities in a way that economic and social goals are satisfied and put the port into its best beneficial condition. Foundation of this research is determining a relationship between container trade growth and trade development of Iran. In the first part of this reaearch, a reviwe of liturature about world container trade growth and GDP is provided. Then in the second part, analysis and examination of two variables, Gross domestic product (GDP) as one of the main scales of economic growth and rate of container handling in Iran are clarified through calculation of correlation coefficient and Regression Analysis. The results of this paper indicated that the relationship between gross domestic product and loading and unloading of containers is positive and direct correlation type.

In the mean time the performance of transit could be increased through identifying the barriares and effective elemnts of transit cargo attracting.It is the the purpose of the present paper to identify and select the most effective indicies in transit industry at ports. To do this, all of the possible factors and bottlenecks in a transit process are uncovered through library research, interviews and Delfi technics. Then they are categorised based on the three models of fish bone model, type of indices as well as quantity and qualities of indecies. In order to find out wheather each associated factors has an affect on the transit process or not, the binominal test is applied. To do this, a five point likert scale quationer form consist of 27 items was distributed among 16 transit experts. Analysis is done through SPSS softwere.The result indicates that factors such as advertising in shipping line attracting, 24 hourse a day, seven days a week services and having cargo-handling geras with high capacity are observed as non effective factors in transit industry while economic/ prices stability and effective multy modal connectivity at ports (road, railway, aviation..) are considered as effective factors in transit industry. Finnaly, along with the investigation of transit issues at north port of Iran, some identified indices such as port time, vessel throughput and berth throughput are scrutnized at Anzali port as a case study.