• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.217-230
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• 2012

To look at Korea trade environment, as increasing the quantity of goods transported in North-East Asia and deepening national competitive, information-oriented logistics environment is needed. That means it is automated work process and can provide value-added service. To do this, logistics business can be efficiently handled through "Electronic Means for the Clearance of Ships" and electronically data processing. Also, by increasing the risk of international terrorism, regulation regarding to logistics security has strengthened around the advanced country, such as USA and EU, etc. or international organization, such as IMO, ISO, etc.. Furthermore, because trade and logistics environment is changing and security becomes more important in logistics area, movement or status information of goods within the port or in entry in/out becomes more and more be needed in real time. In case cross-border logistics activities, international cooperation or agreement between countries is very important. However, different opinions much happened on defining the interface. If to follow one format or type using at a specific country or organization, it was occurred to difficulty in respect of interoperability as well as additional costs or time. Therefore, this paper proposes common interface model to exchange information for the efficient global SCM for using by the output of Korea R&D project, "National Logistics Standardization System Development".

• IE interfaces
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• v.17 no.2
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• pp.180-189
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• 2004

In this paper, we propose a reference model for logistics processes to improve the effect of RosettaNet standards application to domestic industry. First of all, implementation cases applied to logistics processes in the world are investigated. Second, logistics processes of domestic manufacturers are analyzed for the application of RosettaNet standards, and the processes are compared with PIP. Finally, a new logistics processes model and corresponding PIP documents which reflect domestic situations are proposed.

• Industrial Engineering and Management Systems
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• v.9 no.4
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• pp.303-311
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• 2010

In the last few years growing interest has been dedicated to supply chain management. Modeling complexity is added to supply chain coordination problem by accounting for reverse logistics activities. The objective of this paper is to extend inventory model of manufacturing factory with respect to the production of raw material of forward logistics and recycling material of reverse logistics. The proposed model is applied to a plastic recycling process plant located in Taiwan. The case study improvement scheme shows when the recycling rate of recycling material increases from 15% to 50%, the total inventory cost of manufacturing factory decreases by 12.82%, safety stock volume decreases by 41.19% and the reorder quantity is down by 50.96%. This paper finds whether the results of the model can reach the economic profit through quantitative analysis and encourages companies integrate reverse logistics into the supply chain system.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.4
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• pp.1-17
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• 2014

The functions of stocking and releasing in logistics center consist of three major procedure such as receiving, shipping and stock managements. Each process includes various sub-processes which are complicatedly connected with each other. Furthermore, lots of operators execute various tasks in the different sub-processes, simultaneously. It makes difficult to standardize, monitor, and analyze the processes. This paper proposed the quantitative methodology using process mining approach to discover and analyze receiving and shipping processes. For this purpose, the PDA operation log data is analyzed to build a realistic process model. The deduced model has been compared with official process model. In addition, task assignment and social networks analysises are carried out by utilizing process mining tools. Also, it has been proposed how to improve the processes with the analytical simulation model based on the results of process mining.

• Journal of the Korea Safety Management & Science
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• v.7 no.1
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• pp.179-198
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• 2005

The purpose of this study is to propose a strategic approach to improve firms competitive advantages by selecting main business body and business sector at the same time. In this study the strategy of an efficient business model for joint logistics is suggested by means of searching for a joint program. The methods applied to this study were literature survey, questionnaire and internet information as well as case studies on advanced domestics and foreign logistics enterprises. The research scope of this study has focused on the joint logistics of SMEs being in the DVD(Digital Video Disk) industry sector. The results of this study are shown as follows ; first, in short terms, main business operating body has, second, in long terms, logistics operating enterprise has a direct effect on the joint logistics operation strategy of the DVD(Digital Video Disk) industry in Korea. The conclusion of this study shows that this method as a model of consequence to increase the joint logistics implementation successfully.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.209-219
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• 2017

Logistics companies want to be competitive companies in fierce logistics market and are worrying about securing of differentiated competitiveness for it. The standards judging if logistics industry maintains the competitiveness are based on the satisfaction of users due to the well-established service system that can response not only economic feasibility of logistics costs such as transportation costs, storage costs, unloading charges, information costs, etc. but also diversity and upgradability of logistics needs. Therefore, this study focuses on seeking of service quality improvements with VBSD(Value Based Service Design) model focusing on customer value factors based on Kano model and QFD based service design approach from angles of customer value improvement and service costs reduction.

• Journal of Information Processing Systems
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• v.18 no.5
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• pp.665-676
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• 2022

In modern logistics, the effective use of the vehicle volume and loading capacity will reduce the logistic cost. Many heuristic algorithms can solve this knapsack problem, but lots of these algorithms have a drawback, that is, they often fall into locally optimal solutions. A fusion optimization method based on simulated annealing algorithm (SA) and binary particle swarm optimization algorithm (BPSO) is proposed in the paper. We establish a logistics knapsack model of the fusion optimization algorithm. Then, a new model of express logistics simulation system is used for comparing three algorithms. The experiment verifies the effectiveness of the algorithm proposed in this paper. The experimental results show that the use of BPSO-SA algorithm can improve the utilization rate and the load rate of logistics distribution vehicles. So, the number of vehicles used for distribution and the average driving distance will be reduced. The purposes of the logistics knapsack problem optimization are achieved.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.167-178
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• 2017

Big Data is a key asset for the company and a key factor in boosting its competitiveness in the logistics sector. However, there is still a lack of research on how to collect, analyze and utilize Big Data in logistics. In this context, this study has developed a value model applicable to logistics companies based on the results of analysis and application of Big Data in the logistics of previous studies and DHL. The purpose of this study is to improve the operational efficiency and customer experience maximization level of logistics companies through utilization of big data analysis in logistics, to improve competitiveness of big data utilization and to develop new business opportunities. This study has a significance to newly create a value model for utilization of big data analysis in logistics sector and can provide implications for other industries as well as logistics sector in the future.

• The Journal of Industrial Distribution & Business
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• v.10 no.12
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• pp.7-14
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• 2019

Purpose: In Korea, win-win growth policy has been successfully implemented in supply chain and logistics management. In the policy, it is recommended to support supply chain partners with various mechanisms including financial and technical aids. This study attempts to scientifically analyze the effects of direct and indirect win-win growth policy factors on supply chain and logistics management performance through partnership factors. Research design, data and methodology: This study builds a structural equation model reflecting the relationship between the win-win growth policy, partnership and performance factors. The proposed model is verified with the PLS (Partial Least Squares regression) methodology. Data from shipper and logistics companies were collected and analyzed by the PLS model. Results: The analysis showed that both direct and indirect policy factors are meaningful to improve supply chain and logistics performance. Indirect support factors including R&D, management innovation, human resources development and educational supports have positive impacts on partnership factors. Direct support factors including financial aids and fairness also have positive impacts on the performance. Conclusions: This study is meaningful in that it suggests a turning point in which supply chain Win-win growth and partnership efforts are perceived as new value-creating mechanism rather than unilateral cost reduction for logistics industry.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.6
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• pp.587-598
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• 2013

In Korea military (KM), various military supplies are distributed to individual military units via three different multi-tier supply networks owned and operated by army, navy, and air force, respectively. Under the current supply networks, the chances for the occurrence of delayed supply, undersupply, and oversupply increase, and supply redundancy also can become a problem. Thus, KM is now trying to improve its current multi-tier supply networks by constructing logistics consolidation centers. Private companies operate logistics consolidation centers to effectively manage various types of inventories before delivering them to final customers. In this paper, we newly propose a mathematical model for building the optimized military supply network considering adopting the military logistics consolidation centers. Based on the real situation of KM, the proposed model was validated in terms of its feasibility, and it seems that the outcome (the location of the military logistics consolidation centers) of the proposed model can be one of the good alternatives for KM.