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The weapon system of The Navy is the small quantity producing system on multiple kinds. It is consisted of various equipment and the subordinate parts of those which can repair the damaged part. The operating procedure concerning warship's repair parts managed under these systems is as follows. Firstly, if demand of repair parts occurs from warship which is the operating unit of weapon, then the Fleet(the repair & supply support battalion) is in charge of dealing with these requests. If certain request from warship is beyond the battalion's capability, it is delivered directly to the Logistic Command. In short, the repair and supply support system of repair parts can be described as the multi-level support system. The various theoretical researches on inventory management of Navy's repair parts and simulation study that reflects reality in detail have been carried out simultaneously. However, the majority of existing research has been conducted on aircraft and tank's repairable items, in that, the studies is woefully deficient in the area concerning Navy's inventory management. For that reason, this paper firstly constructs the model of consumable items that is frequently damaged reflecting characteristics of navy's repair parts inventory management using ARENA simulation. After that, this paper is trying to propose methodology to analyze optimal inventory level of each supply unit through OptQuest, the optimization program of ARENA simulation.

The studies focusing on inbound logistics in the automobile industry have been limited because of the relatively small portion of logistics cost. But now it is recognized as one of the critical factors for efficient execution of supply chain management (SCM). The survey of suppliers in the automobile industry conducted in this study indicated significant relationships among logistics performance, logistics outsourcing, and performance evaluation level. This research is three-fold. First, current status of part supplier's logistics was analyzed by interviews with inbound logistics providers and suppliers. Second, management type of logistics was analyzed. There were three kinds of logistics -two kinds of logistics outsourcing and direct control by the supplier. Each type of logistics management showed differences about performance. Third, logistics performance evaluation and its relation with the actual logistics performance were presented. Comparable performance evaluation factors were selected, and it is shown that they had a correlation with actual performance.

This paper analyzes the logistics patterns of Korea to elaborate the strategies of Korean Free Economic Zones (FEZs) in relation to Northeast Asian logistics hubs. As the surface transportation of Korea, China and Japan, is cut off by geographical factors and by political border lines, this paper confines the analysis scope to air and maritime transportation.

From the analysis of air and maritime transportation in Northeast Asian region, this paper tries to understand the cargo flow from and to Korean airports and ports by region and by commodity types, and thereby, to identify the main counterpart regions of trade by commodity types and by modes. The policy implications for the development strategy of Korean FEZs (Incheon, Busan, and Gwangyang) are described from those analyses.

The electronics industry is a key industry in South Korea. To improve efficiency and maintain a competitive edge in fast-paced technological age it is critical to synchronize production supply with market demand. This paper focuses on the strategies which make the “just in time” production system within the electronic supply chain. The presented case study of Samsung Electronics Thin Film Transistor-Liquid Crystal Display (TFT-LCD) Inbound Logistics provides a solid example of process integration in the areas of: packaging, transportation and information sharing. The problems faced by Samsung Electronics in the early 2000’s were a direct result of an imbalance between increased traffic/demand and existing production capacity. The most detrimental of these problems caused delays in supply, shortage of space in the hub center and the bottlenecking of supply transportation. This paper demonstrates how Samsung Electronics reexamined and systematically streamlined their existing processes and how they successfully integrated “lean thinking” strategies to all areas of TFT-LCD production. As a result of the integration of these strategies, Samsung Electronics began using a line-to-line packing system which focused on packing items in a group using a standardized, returnable packing system. Additionally, they opted to replace their paper invoice system for an improved transportation system through which a data could reflect flows of information and materials in real time. The integration of these strategies gave Samsung Electronics a new approach to TFT-LCD Inbound Logistics which allowed them to overcome their dilemmas and resulted in successful outcomes, decreased lead times, higher quality products and an reduction in total costs.

Logistical facility location decisions can make a crucial difference in the success or failure of a company. Geographical Information Systems (GIS) have recently become a very popular decision support system to help deal with facility location problems. However, until recently, GIS methodologies have not been fully embraced as a way to deal with new facility location problems in business logistics. This research makes a framework for categorizing empirical facility location problems based on the intensity of the involvement of GIS methodologies in decision making. This framework was built by analyzing facility location models and GIS methodologies. The research results revealed the depth of the embracement of GIS methodologies in logistics for determining new facility location decisions. In the new facility location decisions, spatial data inputs are almost always coupled with the visualization of the problems and solutions. However, the usage of GIS capability solely (i.e. suitability analysis) for problem solving has not been embraced at the same level. In most cases, the suitability analysis is used together with special optimization models for choosing among the multiple alternatives.

The purpose of this paper is to understand from the knowledge management perspective how the mechanism of different voluntary compliance behaviors works and how information technology is used for compliance management in corporate settings where privacy and security issues are getting critical due to the advancement of big data and artificial intelligence.

In this study, the authors propose a structural model based on the theory of planned behavior and the IT relatedness theory that behavioral belief about compliance and social pressure affect compliance knowledge and compliance intention, and compliance knowledge partially mediates the impact of both independent variables on compliance intention. The authors surveyed with a structured questionnaire 975 employees of a major Korean energy company, S-OIL, which deploys a compliance support system. The respondents are classified into two groups: an Active IT Utilization Group and a Passive IT Utilization Group.

The results of our empirical examination show that compliance intention belief and social pressure influence compliance intention, and further, that compliance behavior is mediated by compliance knowledge – in both the active IT utilization group and the passive IT utilization group. However, the significance of each path coefficient, R square and the mediation effect in Model 1 (passive IT utilization group) are obviously a poor contrast to Model 2 (active IT utilization group). Also, the path from behavioral belief to compliance knowledge and social pressure to compliance knowledge show a significant moderating effect of IT utilization level.

This paper aims to promote more effective voluntary compliance behavior by increasing the understanding of the impact differences of the preceding factors, and the ways in which those are related to the knowledge management practice in terms of both knowledge itself and its support systems, i.e. compliance support system.

Assessing the efficiency of fresh food cold chain logistics as accurately as possible is essential for industry development planning. This study was designed to analyze the efficiency of fresh food cold chain logistics in China.

A three-stage data envelopment analysis (DEA) model was used to analyze the efficiency of fresh food cold chain logistics in 30 provinces of China from 2013 to 2019. The stochastic frontier analysis (SFA) model in the second stage was used to eliminate the influence of external environmental factors and random disturbances on efficiency analysis results.

(1) The overall actual efficiency of fresh food cold chain logistics in China is unsatisfactory, with an average technical efficiency of 0.382 over the 7-year period. (2) The national average technical efficiency and average scale efficiency were overestimated by 29.9% and 40.0%, respectively, compared with the actual values. (3) The efficiency of fresh food cold chain logistics does not align with the level of regional economic development. (4) Distinct regional variations exist in the efficiency of fresh food cold chain logistics in China, with higher efficiencies observed in Northwest China and the Central Yangtze River regions, and the lowest efficiencies in the northeast regions.

This study applies a three-stage DEA model to assess the development and regional differences of fresh food cold chain logistics in China, enriching the application of models and empirical analysis in this field. By analyzing the situation in China, it provides ideas and references for other developing countries to develop cold chain logistics.

This chapter is aimed at filling two important gaps in the large literature on high-involvement work system (HIWS). First, the existing literature tends to focus on North America and Western Europe, and detailed information on HIWS outside of the two regions (especially Asia) is still limited. Second, while there is a large body of quantitative evidence, the literature is relatively scant on detailed account of exactly how specific HIWS practices are implemented in the real workplace. This chapter draws on our extensive field research at firms in Japan, the United States, and Korea, and presents real-world examples of HIWS of firms in Japan, Korea, and the United States. Our detailed account of the implementation of HIWS in the three countries points to an intriguing process of transnational diffusion of HIWS. Japanese firms as early experimenters of HIWS posed a challenge to U.S. firms in the global marketplace, resulting in the trans-pacific diffusion of HIWS which is modified to the U.S. corporate culture. Due to its geographical proximity and historical connections to Japan, Korean firms were initially heavily influenced by Japanese HIWS. However, with the rising link to the United States and Europe, Japanese influence appears to have been waning, and interest in U.S. style HIWS and European-style state-mandated works council has risen, suggesting that a hybrid model may be emerging in Korea.

The maritime freight transportation industry has played an important role in the Korean economy. The Korean maritime freight transportation industry is faced with a period of transforming it competitively and efficiently in this global age. This paper, therefore, aims to identify the impact of the maritime freight transportation industry in the Korean national economy. Hence, this paper provides policy-makers with accessible and reliable information regarding the role of the Korean maritime freight transportation industry. This study employs input-output (I-O) analysis to examine the role of the maritime freight transportation industry in the national economy for the period 1995-2003, with specific application to Korea. This study pays particular attention to the maritime freight transportation industry by taking the industry as exogenous variable and then investigates its economic impacts. We identify inter-industry linkage effects in 20 sectors, production-inducing effects, added value-inducing effects, and supply-shortage effects of the maritime freight transportation industry.