• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.222-244
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• 1990

A multi-echelon structure of manufacturing and distribution system in considered, where the raw materials are transformed into a finished good through a number to manufacturing echelons and it is distributed to the lower echelons(retailers, or customers). The raw material, work-in-process, finished good inventory and the distribution costs are unified into one model. The objective is to determine the ordering policy of raw materials, manufacturing lot size, the number of sub-batch and the distribution policy of the finished good which minimize the annual total system cost. A computer program for a heuristic search technique is developed, by which a numerical example is examined.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.369-374
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• 2015

In this study, by combining a unique purpose and additional aspects of ultrasonic transmission media, a development potential on a new ultrasonic transmission media was sought. The rheological characteristics and the manufacturing cost for each manufactured formulation were compared and analysed with ready-made. An ultrasonic transmission media is to have different functional characteristics according to the following formulation, it was the best in rheological value, low viscosity emulsion with the oil gel. Polymer hydro gel is can be manufactured at low cost compared to other formulations. Emulsion which shows a sharp viscosity difference according to the components of oil and water had a big difference in manufacturing cost. This study can be utilized as the fundamental data on the ultrasound transmission media equipped with expertise in various areas of ultrasound.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.218-226
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• 2014

In order to improve manufacturing performance by flexibilities, type of strategies, types of information with manufacturing companies in Korea. This study is based on the situation theory. The variables of flexibility were applied with 'product flexibility' and 'mix flexibility'. 'low-cost strategy' and 'differentiation strategy' were applied at strategy types. Financial information and non-financial information, information attributes are applied at. At this study, product flexibility is significantly influenced the differentiation strategy. Mix flexibility is significantly influenced the low cost strategy. Only the low-cost strategy significantly affected on financial information and non-financial information. financial information and non-financial information were significantly influenced on Productive performance. To achieve the purpose of this study, Structural Equation Model (SEM) has been applied.

• Korea Trade Review
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• v.42 no.1
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• pp.1-25
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• 2017

By applying the AHP(Analytic Hierarchy Process), we have analyzed the importance and the order for priorities to the management risk factors of Korean SMEs & Venture companies in China. The major management risk factors of manufacturing companies were the rise in labor costs followed by fierce competition in the marketplace, problems involved with human resource management and the rise in the cost of materials. In the case of companies manufacturing electronic products, the rise of labor costs and alteration in government's tax policy were seen as the main risk factors. In the case of chemical product manufacturing companies, the reinforcement of environmental protection law and in automobile component manufacturing companies, apart from the rise in labor cost, the increase in raw materials costs were analyzed as the main risk factors. While considering the time period, the main risk factors of the companies that entered China in the 1990's were fierce competition and alteration in government's tax policy and for the companies that entered China in the 2000's, increase in raw material cost, the rise in labor cost etc were analyzed to be the main risk management factors.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.3
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• pp.75-85
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• 2014

This paper is to develop and estimate a closed form inflation model using the estimates for real marginal costs in manufacturing industries during the sample period 1975-2010. The production function in manufacturing industry incorporates labor, capital, domestic material, and foreign material, assuming constant returns to scale technology and AR(1) process of technological coefficient. We derive real marginal costs from firm's cost minimization with quarterly data and provide new evidences on the new Keynesian Phillips curve for Korea. The main empirical result is that the closed form coefficients ${\delta}_1$ and ${\delta}^{-1}_2$ in manufacturing for PPI inflation proved to be 0.5086 and 0.8779 respectively, similar to the estimates in the U.S. case. These results also are consistent with the functional relationship between the coefficients in hybrid model and its closed form. Thus the paper suggests that the empirical studies on inflation dynamics need to focus on the manufacturing industry with market power, treating PPI inflation as the dependent variable.

• Journal of Electrochemical Science and Technology
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• v.8 no.3
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• pp.215-221
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• 2017

The electroless plating process largely consists of substrate cleaning, seed formation (activator formation), and electroless plating. The most widely used activator in the seed formation step is Pd, and Sn ions are used to facilitate the formation of this Pd seed layer. This is problematic because the Sn ions interfere with the reduction of Cu ions during electroless plating; thus, the Sn ions must be removed by a hydrochloric acid cleaning process. This method is also expensive due to the use of Pd. In this study, Cu electroless plating was performed by forming a seed layer using a silver nanosol instead of Pd and Sn. The effects of the Ag nanosol concentration in the pretreatment solution and the pretreatment time on the thickness and surface morphology of the Cu layer were investigated. The degrees of adhesion to the substrate were similar for the electroless-plated Cu layers formed by conventional Pd activation and those formed by the Ag nanosol.

• IE interfaces
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• v.25 no.2
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• pp.276-282
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• 2012

Earned value management(EVM) based progress management was designed to systematically manage large or huge projects with budget based criteria. For this reason, existed methods of EVM based progress management have a practical difficulty to apply to small and medium enterprises(SMEs) not possessing enough human resource, time, and cost. In other words, SMEs have performed simultaneously many small-sized projects emphasizing more project delivery than project budget. This study focuses on the area of project management applying to many small-sized projects simultaneously conducted by SMEs. Thus, the method proposed in this study is to manage only the progress of projects after removing cost factor in order to reduce man powers required for allocating the budget of projects to their all activities in detail in the stage of project planning. This study reveals that SMEs are able to manage progress of many projects easily and intuitively using the proposed method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.4 no.1
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• pp.31-35
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• 2003

Switch box is metal box and used for electric wire pipe in building. In manufacturing switch box, we need 5∼6 press machines, 5∼6 dies, 1 tapping machine. and 7∼8 operators. What matters is rise of manufacturing cost and operators' reluctance of working. To solve this problem, we modified the pre-existing die and developed handling mechanism, which leads to improve the manufacturing process. After the research and development, we could reduce the number of machines and workers needed in the process; 2 press machines, 2 dies, 1 tapping machine, and 1 operator. That means we can save labor and the number of operators needed, reduce manufacturing cost, and get the effect of import replacement.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1516-1529
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• 2016

While global manufacturing is becoming more competitive due to variety of customer demand, increase in production cost and uncertainty in resource availability, the future ability of manufacturing industries depends upon the implementation of Smart Factory. With the convergence of new information and communication technology, Smart Factory enables manufacturers to respond quickly to customer demand and minimize resource usage while maximizing productivity performance. This paper presents the development of a big data analytics platform architecture for Smart Factory. As this platform represents a conceptual software structure needed to implement data-driven decision-making mechanism in shop floors, it enables the creation and use of diagnosis, prediction and optimization models through the use of data analytics and big data. The completion of implementing the platform will help manufacturers: 1) acquire an advanced technology towards manufacturing intelligence, 2) implement a cost-effective analytics environment through the use of standardized data interfaces and open-source solutions, 3) obtain a technical reference for time-efficiently implementing an analytics modeling environment, and 4) eventually improve productivity performance in manufacturing systems. This paper also presents a technical architecture for big data infrastructure, which we are implementing, and a case study to demonstrate energy-predictive analytics in a machine tool system.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.5
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• pp.67-76
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• 2022

The customer demand for diverse colors in home appliances has increased. However, this has led to issues for manufacturers, such as ensuring cost effectiveness and high-level quality control. To resolve these issues, production engineers utilize computer-aided engineering (CAE) tools for injection-molding processes and assess the suitability of process parameters for products manufactured using the in-mold labeling method. CAE can solve various problems in manufacturing processes, thereby increasing production efficiency and decreasing manufacturing cost. In addition, it can be used analyze customer complaints related to surface defects, such as part differences and irregular spacing between parts, and ultimately reduce product returns. In this study, CAE was used to solve quality problems and implement the most economical manufacturing process.