• International Journal of Reliability and Applications
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• v.5 no.2
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• pp.75-80
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• 2004

Relationships between inventory policy and operational availability of military equipment maintained under a logistics support system are analyzed. A continuous review inventory model with a stochastic demand typically used in a military logistics support is considered and some numerical studies are provided.

• International Commerce and Information Review
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• v.2 no.1
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• pp.25-48
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• 2009

With the rapid growth of e-logistics in the global logistics industry, it is important to gain further insight into this growing segment of Chinese logistics industry. The current situation in China consists of many small and medium-sized logistics firms. Furthermore, e-logistics is still relatively undeveloped in the majority of the Chinese logistics companies and presently there are still many problems unresolved. This paper attempted to review the concepts and theoretical background of e-logistics systems from previous studies. After acknowledging the essential issues related to e-logistics systems, a research model based on the theory acceptance model was designed and tested. The key factors to the e-logistics system (reliability, maintainability, software, facility and transportation) were validated through the modeling and testing process. Included in the modelling and testing process are other related factors of e-logistics process, logistics information system and added value as dependent variables in this model. The results of this study confirm that the e-logistics Process is affected by transportation, while maintainability and software factors influence logistics information system. reliability, maintainability, facility and transportation are significant factors associated with added value. This research aimed to provide theoretical and practical contribution to Chinese logistics companies and to give some insights into e-logistics system as a whole. The paper also provided some useful theoretical implication and practical guidelines for the development of e-logistics system in the chinese logistics industry.

• International Commerce and Information Review
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• v.11 no.2
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• pp.3-26
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• 2009

With the rapid growth of e-logistics in the global logistics industry, it is important to gain further insight into this growing segment of Chinese logistics industry. The current situation in China consists of many small and medium-sized logistics firms. Furthermore, e-logistics is still relatively undeveloped in the majority of the Chinese logistics companies and presently there are still many problems unresolved. This paper attempted to review the concepts and theoretical background of e-logistics systems from previous studies. After acknowledging the essential issues related to e-logistics systems, a research model based on the theory acceptance model was designed and tested. The key factors to the e-logistics system (reliability, maintainability, software, facility and transportation) were validated through the modeling and testing process. Included in the modelling and testing process are other related factors of e-logistics process, logistics information system and added value as dependent variables in this model. The results of this study confirm that the e-logistics Process is affected by transportation, while maintainability and software factors influence logistics information system. reliability, maintainability, facility and transportation are significant factors associated with added value. This research aimed to provide theoretical and practical contribution to Chinese logistics companies and to give some insights into e-logistics system as a whole. The paper also provided some useful theoretical implication and practical guidelines for the development of e-logistics system in the chinese logistics industry.

• Asia-Pacific Journal of Business
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• v.13 no.4
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• pp.61-77
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• 2022

Purpose - The purpose of this study was to explore the relationship between C2C logistics service quality(convenience, responsiveness, reliability, information and empathy) customer satisfaction and customer loyalty. Design/methodology/approach - This study collected 252 survey data from consumers who use C2C platform in China. Then using SPSS 24.0 in order to analyze the data. This study used SPSS 24.0 to perform empirical analysis with 252 people who use C2C platform in China. Findings - First, it was confirmed that the quality of logistics service(convenience, responsiveness, reliability, information and empathy) had a positive effect on customer satisfaction. Second, logistics service quality(convenience, responsiveness, reliability, information and empathy) positively affects the customer loyalty. Third, there is also a strong relationship between customer satisfaction and customer loyalty. Research implications or Originality - It is well known that logistics is an important part of e-commerce. Research on the influence of B2B logistics service quality on customer satisfaction and customer loyalty is more currently, but research on C2C is relatively less. Our study contributes the related research area by doing empirical analysis of the relationship between the logistics service quality and customer satisfaction and customer loyalty to provide development suggestions for C2C sellers.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.159-167
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• 2019

This study was done to analyze the effect of logistics services, corporate image, product reliability and customer service on consumer satisfaction and repurchase intention that e-commerce users perceive. The survey was divided into "logistics services, corporate image, product reliability, customer services, customer satisfaction, repurchase intention". As a study result, independent variables such as corporate image, product reliability and customer services were found to affect customer satisfaction. Consumer Satisfaction had an effect on repurchase intention in mediated and dependent variable. In conclusion, in order to increase the repurchase intention in companies that introduced SCM, it was necessary to improve the corporate image, product reliability and customer service to satisfy consumers. Logistics services had not been adopted as an impact on customer satisfaction. We should strive to improve customer satisfaction and repurchase intention by creating a higher level logistics services.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.30
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• pp.3-26
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• 2006

Supply chain is viewed as a number of organizations(at least three) working cooperatively with at least some shared objectives. The concept of supply chain management represents the most advanced state in the evolutionary development of purchasing, procurement and other supply chain activities. This study aims to analyze and develop a measurement instrument for supply chain performance in international logistics. A measurement instrument for supply chain performance in international logistics are developed by Lai et al(2002). Supply chain reliability, customer service and cost are constructed reflecting service effectiveness and operations efficiency between shipper, forwarder and liner. The results of this study are as follow. We firstly tested the measurement properties of the sub-dimension of the supply chain performance construct using reliability test and confirmatory factor analysis follow by exploratory factor analysis. For each of the factor, reliability and validity are achieved because of the significant loading of the measurement items on their latent factors. Further research perform the analysis of variance by multi respondents within each firm and across partner firms in the supply chain. The result of analysis present the difference with shipper, forwarder and liner in statistics.

• Korea Trade Review
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• v.45 no.3
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• pp.1-19
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• 2020

Recently, traditional trade in the global trade market has stagnated in the aftermath of the US-China trade war and the coronavirus (COVID-19) pandemic. However, the global e-commerce market is growing rapidly, presenting a new opportunity for exports. To examine the effect of an online matching and logistics system on reverse overseas direct purchase and the mediating effect of reliability, this study conducted a questionnaire survey on 320 employees in a Korean trade company from March 10 to April 30, 2018. The study model's goodness of fit was tested, and an analysis was performed using the AMOS statistical package. The online matching and logistics system were found to have a positive effect on reverse overseas direct purchase. Furthermore, results revealed that while a country's reliability mediated online matching and reverse overseas direct purchase, it did not mediate the logistics system. These results mean that online matching is affected by a country's reliability in overseas consumers' buying decision process. This study provides implications for the future directions of export companies and national policies to promote reverse overseas direct purchase. Future research including more countries and companies would be able to make further contributions toward the development of the Korean cross-border e-commerce industry.

• Journal of Service Research and Studies
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• v.7 no.1
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• pp.41-52
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• 2017

This study The purpose of this study is to analyze the effect of relationship factors and technical factors on the logistics performance of logistics companies. As a result of the analysis, information sharing, mutual trust, and mutual benefit of the inter-organizational relationship factors as factors affecting the logistics performance were analyzed as the factors that positively influence the logistics performance. In the technology factor, IT infrastructure and technology reliability are analyzed as factors that positively influence logistics performance, but system operation capacity is analyzed as a factor that does not positively affect logistics performance. Based on the results of this analysis, it can be confirmed that logistics companies can maximize the logistics performance by mutual sharing of information, mutual benefit and trust, and it is also confirmed that technical reliability is also an important factor.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.566-576
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• 2018

As the weapon systems of the Korean Army possess massive firepower and multiple functions, the improvement of their quality through reliability prediction is becoming increasingly important. Currently, the reliability prediction of the weapon systems of the Korean Army is a difficult process, because it is conducted by naively calculating the reliability of their constituent parts. Recently, as various studies using accumulated data are undertaken across various industries, the defense industry is also attempting to analyze the Dark Data which have been accumulated but not yet used. Therefore, it is necessary to apply Post-Logistics Support (PLS) data in order to improve the reliability of the weapon systems and, for this purpose, the Korean Army needs to conduct diverse studies. Especially, the PLS data in the defense industry is very useful for reliability prediction, because the data on the defects reported after the development of the weapon systems are accumulated in this phase. This study examines the existing reliability prediction method conducted using the component parts and proposes a new reliability prediction method using PLS data. This framework can ultimately contribute to improve the prediction accuracy and quality of the weapon systems.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.221-232
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• 2023

Recently, due to the expansion of the logistics industry, demand for logistics automation equipment is increasing. The modern logistics industry is a high-tech industry that combines various technologies. In general, as various technologies are grafted, the complexity of the system increases, and the occurrence rate of defects and failures also increases. As such, it is time for a predictive maintenance model specialized for logistics automation equipment. In this paper, in order to secure the operational reliability of the ICT/Cold-Chain Unmanned Storage, a predictive maintenance system was implemented based on the LSTM model. In this paper, a server for data management, such as collection and monitoring, and an analysis server that notifies the monitoring server through data-based failure and defect analysis are separately distinguished. The predictive maintenance platform presented in this paper works by collecting data and receiving data based on RabbitMQ, loading data in an InMemory method using Redis, and managing snapshot data DB in real time. The predictive maintenance platform can contribute to securing reliability by identifying potential failures and defects that may occur in the operation of the ICT/Cold-Chain Unmanned Storage in the future.