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

• The Journal of the Korea Contents Association
• /
• v.18 no.11
• /
• pp.475-483
• /
• 2018

Most of logistics system has difficulties in transportation logistics tracking due to problems in real world such as discordance between logistics information and logistics flow. For the solution to these problems, through case study about corporation, suppliers that transport order items in shopping mall, we retain traceability of order items through accordance between logistics and information flow and derive transportation logistics tracking model. Through literature review, we selected permissioned public block chain model as reference model which is suitable for transportation logistics tracking model. We compared, analyzed and evaluated using centralized model and block chain as application model for transportation logistics tracking model. In this paper we proposed transportation logistics tracking model which integrated with logistics system in real world. It can be utilized for tracking and detection model and also as a tool for marketing.

• Journal of Korea Society of Industrial Information Systems
• /
• v.22 no.2
• /
• pp.79-89
• /
• 2017

The Optimization of a Closed-Loop Supply Chain (CLSC) Model Using an Adaptive Hybrid Genetic Algorithm (AHGA) Approach is Considered in this Paper. With Forward and Reverse Logistics as an Integrated Logistics Concept, The CLSC Model is Consisted of Various Facilities Such as Part Supplier, Product Manufacturer, Collection Center, Recovery Center, etc. A Mathematical Model and the AHGA Approach are Used for Representing and Implementing the CLSC Model, Respectively. Several Conventional Approaches Including the AHGA Approach are Used for Comparing their Performances in Numerical Experiment.

• Journal of the military operations research society of Korea
• /
• v.31 no.1
• /
• pp.73-92
• /
• 2005

The SCOR(supply chain operations reference) model which is a management tool, has been developed to describe the business activities associated with all phases of satisfying a customer's demand. The model is able to successfully describe and provide a basis for supply chain improvement. In this paper, we review the SCOR model, the present status of the Korean defense logistics system, and suggest an application of the model for the integrated defense logistics system.

• Korea Trade Review
• /
• v.43 no.1
• /
• pp.69-90
• /
• 2018

Customer demand is rising as services competition becomes more intense among logistics companies. Some large companies provide total logistics services, but most logistics companies provide total logistics services in cooperation with other companies. Therefore, supply chain competition is becoming more important than competition among logistics providers. The purpose of this study is to verify the effects of logistics cooperation and supply chain competence on logistics performance. In this study, we conducted a literature review to identify the key factors that logistics companies consider important, and establish a conceptual research model. A survey was conducted on 286 logistics companies in Korea, and hypotheses were verified based on the structural equation model. The hypotheses test results are as follows. First, logistics cooperation had a significant effect on supply chain competence and logistics performance. Second, logistics performance improves when supply chain competence is strengthened. Third, higher level logistics expertise resulted in greater logistics cooperation effects on logistics performance.

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

• Industrial Engineering and Management Systems
• /
• v.13 no.1
• /
• pp.1-14
• /
• 2014

With a steep increase of the global disaster relief efforts around the world, the relief supply chain and humanitarian logistics play an important role to address this issue. A broad overview of operations research ranges from a principle or conceptual framework to analytical methodology and case study applied in this field. In this paper, we provide an overview of this challenging research area with emphasis on the corresponding optimization problems. The scope of this study begins with classification by the stage of the disaster lifecycle system. The characteristics of each optimization problem for the disaster supply chain are considered in detail as well as the logistics features. We found that the papers related to disaster relief can be grouped in three aspects in terms of logistics attributes: facility location, distribution model, and inventory model. Furthermore, the literature also analyzes objectives and solution algorithms proposed in each optimization model in order to discover insights, research gaps and findings. Finally, we offer future research directions based on our findings from the investigation of literature review.

• Journal of Korea Society of Industrial Information Systems
• /
• v.21 no.4
• /
• pp.31-41
• /
• 2016

This paper is to evaluate the performance of a proposed hybrid genetic algorithm (pro-HGA) approach using closed-loop supply chain (CLSC) model. The proposed CLSC model is a integrated supply chain network model both with forward logistics and reverse logistics. In the proposed CLSC model, the reuse, resale and waste disposal using the returned products are taken into consideration. For implementing the proposed CLSC model, two conventional approaches and the pro-HGA are used in numerical experiment and their performances are compared with each other using various measures of performance. The experimental results show that the pro-HGA approach is more efficient in locating optimal solution than the other competing approaches.

• Korea Trade Review
• /
• v.48 no.4
• /
• pp.233-262
• /
• 2023

Recently, as customer demand for cold chain products increases, cold chain companies are constantly required to improve logistics service quality and seek new competitive advantages in order to improve customer satisfaction. This study aims to indentify the factors that impact customer satisfaction in cold chain logistics and to analyze the relationship between the factors. A research model was established through the investigation of the previous studies. A survey was conducted targeting customers with cold chain logistics service experience, and the hypotheses were tested through structural equation modeling using AMOS 26.0. As a result, cold chain capability, including resource, logistics infrastructure, and partnership, has a significant impact on logistics service quality. The improvement of logistics service quality has a significant impact on customer satisfaction. Resource and logistics infrastructure, excluding partnership, had a significant impact on customer satisfaction. Consequently, cold chain companies need to secure various types of resources, technology levels, and infrastructure to improve logistics service quality, which can meet customer expectations and needs.

• Korean Management Science Review
• /
• v.21 no.2
• /
• pp.15-25
• /
• 2004

Great effort has been exerted to redesign the supply chain network as a means to improve corporate competitiveness. In this study, we present a mathematical model and a solution system to help redesign corporate logistics networks. The objective of the model is to minimize total logistics costs. We applied the solution system to real problem cases. We use the model and the concept to develop decision support system that is based on C++ with the use of CPLEX callable library as a solution engine. We tested and verified the DSS for redesigning the network of a large Korean electronics company. Through various scenario analyses. we recommend to redesign their supply chain network that demonstrates the possibility of substantial logistics cost savings.