Determinants For Assigning Value-added Logistics Services To Logistics Centers Within A Supply Chain Configuration

Chen, Lu; Notteboom, Theo

doi:10.24006/jilt.2012.10.1.001

Cited by 8 publications

(6 citation statements)

References 34 publications

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“…The intermodality of seaports is becoming one of the important parameters in terms of expanding the range of services to create add-value for shippers (Notteboom, 2008;Chen & Notteboom, 2011). The intermodality of seaports and container terminals simplifies the transit of goods by setting optimal routes, which gives an advantage in time and costs (Panayides, 2008;Panayides, Photis & Song, 2009).…”

Section: Resultsmentioning

confidence: 99%

Prospects for intermodal and container transportation for Georgia's integration into the global transport market

Гечбая¹,

Tsilosani²

2022

ACCESS

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Objectives: Understanding of advantages and disadvantages of Georgia as a transport corridor country in intermodal transportation. The challenges, strong and weak spots of intermodal transportation through the transport corridor on which lays Georgia. Overview of existing Black Sea basin and Georgian seaports and container terminals, their throughputs, and obstacles inherent for the container business in the black sea in common, which is the main obstacle to receiving bigger vessels. Methods/Approach: During the research has been used empirical and theoretical methods. In order to study container shipping has been reviewed and analyzed the data published by Georgian and foreign publications and scientific works, which made it possible to study the current situation and dynamics of container shipping in Georgia, as well as to study and investigate the existing problems and factors in this sphere, which affected the increase in the volume of cargo turnover. Analyzing the data provided by different information sources such as the National Statistical Office, shipping companies, terminal operators, and government bodies, made it possible to observe the increase in container shipping in recent years and calculate the cumulative average gross rate of container turnovers. Results: It was determined and explained that intermodal land transportation of containers through Georgia could not compete with maritime transportation turnovers, but still has a significant part as a backup of alternative transportation modes and delivery terms. Also, has been found that the growing trend of container turnover in the Black Sea countries and Georgia, in particular, has a strong and positive dynamic. Conclusions: The study shows how Georgia, as an intermodal and transit transportation country, improved its cargo turnover in a time of ongoing challenges in the region. It also shows the causal relationship between the sanctions and increased cargo turnover through the Georgian Sea ports. As a recommendation is provided suggestions to improve Georgia's cargo turnover and throughput.

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Section: Resultsmentioning

confidence: 99%

Prospects for intermodal and container transportation for Georgia's integration into the global transport market

Гечбая¹,

Tsilosani²

2022

ACCESS

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“…Under the background of this low-level competition, China's domestic logistics companies have low overall profit margins. In order to cope with this situation, logistics companies have to develop new value-added logistics services to expand profit margins and seek further development [10]. e literature believes that logistics finance is produced with the continuous development of the logistics industry, and it is an industrial integration with the highest degree of integration [11].…”

Section: Related Workmentioning

confidence: 99%

Logistics Finance Collaborative Development Model Based on Machine Learning

Yu-qin

2022

Computational Intelligence and Neuroscience

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In the context of rapid social development, a logistics financial model that can meet the financing needs of small and medium-sized enterprises and has high returns is widely used in all aspects of the logistics financial industry. Logistics finance is a new financing model that can effectively integrate logistics enterprises, financial companies, and financing institutions to achieve mutual benefit and win-win results. The uncertainty of financial information, the motivation of each business service object to pursue high returns in a short period of time, and the inadequate risk preuniversal conditions have led to credit risks in the development of logistics financial services. Promoting the close integration of improved neural network algorithms based on machine learning and logistics financial financing models is inseparable from the active cooperation of all aspects, the trust of various business service objects, and the construction of logistics financial information platforms. Based on machine learning, this paper analyzes and models the collaborative development of logistics finance, analyzes the original data, and constructs sample characteristics. Due to the small amount of information in part of the sample features, this causes problems such as overfitting in the process of model building. Therefore, we designed a new feature selection based on Pearson correlation coefficient and PCA. Method. Using this algorithm for feature selection, an integrated learning method is proposed. In order to solve the shortcomings of traditional neural network logistics algorithms, a neural network-based noncomplete vehicle path optimization mining model is proposed. By weighting the time domain length and spatial probability of logistics finance, the stable state of the neural network is restricted. Simulation results show that this method can effectively improve logistics efficiency and maximize the economic value of the transportation process.

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“…There is difficulty by value-added services to undergo generalization based on the awareness that services ought to be client related and client's awareness of quality impact client levels fulfilment (Bowersox et al, 2010). (Chen & Notteboom, 2012a), advances the example of Nike producing and delivering customized products to individual clients for purposes of adding value towards a commodity. Logistics service givers could be classified into three basic forms as a result of variations in basic competences as well as network establishments: logistics intermediary institutions, carriers and 3 rd party logistics institutions, Cui and Hertz (2011).…”

Section: Value Added Logistics and Organisation Performancementioning

confidence: 99%

Influence of Supply Chain Management Strategies on Performance of Medical Supply Chain Organisations in Kenya

Njuguna¹,

Arani²,

Onyara³

2021

jbmed

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Institutions within the medical supply sector have consistently faced substandard supply chain results because of failure of timely deliveries on the part of suppliers failing to quickly respond to deliver medical shipments. This indicates the procurement role having inadequacies as a key component of an organization since it does not deliver on maximized effectiveness and a reduction of costs based on poor supply chain management plans. A critical purpose of the study was the intention to identify influence of supply chain management strategies on performance of medical supply chain organisations in Kenya. More so, the analysis deals with the degree information integration impacts on Organization performance; to evaluate the impact of warehousing on performance; to examine the impact of outsourcing on performance; and to evaluate the influence of lean supply chain on performance of medical supply entities across Kenya. Direction will through be relying on the resource-based theory as well as the supply chain constraints principle. The analysis will adopt a descriptive study approach; with the targeted size comprising of 30 medical supply entities. The study participants included 2,529 staff of pharmaceutical supply chain entities within Kenya. Determination of the sample group was by Yamane’s concept that led to to a group of 345 participants. Accessing the participants was by stratified and simple random sampling approaches. Towards indicating dispersion and central tendency, standard deviation and respectively, with the inferential statistics being analysed by multiple regression and correlation analysis. The study findings reveal that performance of medical supply organizations in Kenya was significantly related with supply chain information integration (p < 0.05), warehousing (p < 0.05) and outsourcing. Despite this, the association among differentiation strategy and performance was insignificant at p > 0.05 but only significant at p <0.1). It was also found that while lean supply chain had a negative influence on performance (t = -.528, p >0.5) information integration, warehousing and outsourcing had positive influence on performance (information integration: t = 16.461, p <0.05; warehousing: t = 19.671, p <0.05; outsourcing: t = 15.528, p <0.05). The result of these outcomes is that the leadership across medical supply organizations in Kenya need to adopt information integration, warehousing, and outsourcing, which would positively contribute to performance. Medical supply organizations in Kenya should continue emphasizing on supply chain strategies. The outcomes of the study may assist organisations in drawing plans or improving existing strategies governing supply chain management across institutions.

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Determinants For Assigning Value-added Logistics Services To Logistics Centers Within A Supply Chain Configuration

Cited by 8 publications

References 34 publications

Prospects for intermodal and container transportation for Georgia's integration into the global transport market

Prospects for intermodal and container transportation for Georgia's integration into the global transport market

Logistics Finance Collaborative Development Model Based on Machine Learning

Influence of Supply Chain Management Strategies on Performance of Medical Supply Chain Organisations in Kenya

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