• Journal of the Korea Safety Management & Science
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• v.9 no.4
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• pp.71-82
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• 2007

For a sustainable development, the resources circulation system should be established and an environment-conscious activities are required at the same time. These activities should be also implemented in logistics area. Especially, green procurement activities in inbound logistics is recognized as a very important factors in the early phase of an environment-conscious activities. In this paper, we are to suggest the direction through statistical analysis of effects, and cause of influences of environmental procurement logistics activities on logistics performance by environmental logistics strategy and by the size of enterprises, and by Environmental Management System. This study was conducted with the subjects of manufacturing enterprises with concurrent reviews of literature and statistical analysis, and the meaning of this study would be the analysis of the influencers of environment-conscious procurement logistics activities on logistics performance different from existing logistics studies.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.4
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• pp.398-407
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• 2008

We consider a product recovery system that a single product is stocked in order to meet a demand from customers who may return products after usage. This paper addresses a problem of when to release a procurement process to replenish serviceable inventory and how many new products to procure. The structure of the optimal procurement policy is examined and numerically identified as a monotonic threshold curve. A numerical procedure is presented to jointly find the optimal procurement order size, optimal procurement policy, and optimal discounted profit. Sensitivity analysis also indicates that these optimal performance measurements have monotonic properties with respect to system parameters.

• 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.

• Korean Journal of Construction Engineering and Management
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• v.17 no.1
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• pp.92-100
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• 2016

Many research efforts have made on various fields to develop a system which is able to process diverse data in terms of efficiency and accuracy as well as minimizing the error in data-processing. As known, it is obvious that procurement is crucial process for the plant projects due to its importance and impact on the performance. It is strongly required to develop an effective metadata system to assist optimal controlling data for the logistics discipline of procurement processes in plant projects. Therefore, the main purpose of this paper is to apply a metadata system for logistics of the plant projects. The suggested technical module is tested using sample data and evaluated its performance in terms of accuracy and running speed. The results of this research will be extended to the other processes of plant projects in order to achieve a ultimately process-based life-cycle plant project information management system

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1369-1375
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• 2009

This study focus on the structural relationships among business strategies, its various execution types and business performances from the viewpoint of many managerial aspects. These many kinds of management activities are carried out in order to revitalize the E-Business system. The objective of this study is to find out the structural effect of this various kinds of managerial strategies on the practice type of knowledge management such as dynamic and behavioral approach. And also the effect of knowledge management activities on the business performance. The result of this study shows that management strategy for marketing, procurement/logistics and service has positive influences on systematic, behavioral approach as well as the knowledge execution types has positive influence on the management performances.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.4
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• pp.813-823
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• 2019

Supplier Relationship Management (SRM) is a strategic partnership activity for an enterprise and is expected to be a significant performance element in the current enterprise environment where uncertainty is growing. Despite the effective SRM allows companies to manage quality and inventory throughout their logistics procurement process with their suppliers and increase the profitability of the company, there is a scarce of theory about supplier relationship management (SRM) and many companies are not aware of the importance of SRM and depend only on simple electronic purchasing methods. Therefore, I analyze the H Company as a case company, which is a large domestic company and has reached 2,500 domestic and overseas suppliers. SRM process and its effects are evaluated as (1) Purchasing strategy division 2) Process division (3) IT infrastructure division. By analyzing SRM as one of the management strategies that bring the overall value of enterprise performance up, and by looking at how domestic large corporations manage their suppliers, I hope that manufacturers with many suppliers will recognize the importance of SRM and build an SRM tailored to their business.

• Journal of Computational Design and Engineering
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• v.1 no.2
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• pp.140-151
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• 2014

Storing, and the loading and unloading of materials at production sites in the manufacturing sector for mass production is a critical problem that affects various aspects: the layout of the factory, line-side space, logistics, workers' work paths and ease of work, automatic procurement of components, and transfer and supply. Traditionally, the nesting problem has been an issue to improve the efficiency of raw materials; further, research into mainly 2D optimization has progressed. Also, recently, research into the expanded usage of 3D models to implement packing optimization has been actively carried out. Nevertheless, packing algorithms using 3D models are not widely used in practice, due to the large decrease in efficiency, owing to the complexity and excessive computational time. In this paper, the problem of efficiently loading and unloading freeform 3D objects into a given container has been solved, by considering the 3D form, ease of loading and unloading, and packing density. For this reason, a Group Packing Approach for workers has been developed, by using analyzed truck packing work patterns and Group Technology, which is to enhance the efficiency of storage in the manufacturing sector. Also, an algorithm for 3D packing has been developed, and implemented in a commercial 3D CAD modeling system. The 3D packing method consists of a grouping algorithm, a sequencing algorithm, an orientating algorithm, and a loading algorithm. These algorithms concern the respective aspects: the packing order, orientation decisions of parts, collision checking among parts and processing, position decisions of parts, efficiency verification, and loading and unloading simulation. Storage optimization and examination of the ease of loading and unloading are possible, and various kinds of engineering analysis, such as work performance analysis, are facilitated through the intelligent 3D packing method developed in this paper, by using the results of the 3D model.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.163-179
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• 2010

Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.