• Journal of Digital Policy
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• v.2 no.4
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• pp.17-23
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• 2023

In this paper, in order to improve production processing for small and medium-sized precision processing companies, we apply a manufacturing execution system to existing process methods and integrate precision processing data to strengthen process management within the company, increase facility operation efficiency, and realize a reduction in defect rates. The differences in productivity improvement and cost reduction rates were compared and analyzed. As a result, production productivity improved by 7.0% and product defect rate improved by 0.1% point due to the introduction of the manufacturing execution system. It was confirmed that manufacturing cost reduction improved by 10.0% and delivery compliance rate improved by 1.1%. If additional smart factory technology is applied based on the manufacturing execution system proposed in this study in the future, sales and profits in the processing industry are expected to increase due to an increase in the PQCD index.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.417-428
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• 2005

Today, IT organizations perform projects with vision related to marketing and financial profit. The objective of realizing the vision is to improve the project performing ability in terms of QCD. Organizations have made a lot of efforts to achieve this objective through process improvement. Large companies such as IBM, Ford, and GE have made over $80\%$ of success through business process re-engineering using information technology instead of business improvement effect by computers. It is important to collect, analyze and manage the data on performed projects to achieve the objective, but quantitative measurement is difficult as software is invisible and the effect and efficiency caused by process change are not visibly identified. Therefore, it is not easy to extract the strategy of improvement. This paper measures and analyzes the project performance, focusing on organizations' external effectiveness and internal efficiency (Qualify, Delivery, Cycle time, and Waste). Based on the measured project performance scores, an OT (Opportunity Tree) model was designed for optimizing the project performance. The process of design is as follows. First, meta data are derived from projects and analyzed by quantitative GQM(Goal-Question-Metric) questionnaire. Then, the project performance model is designed with the data obtained from the quantitative GQM questionnaire and organization's performance score for each area is calculated. The value is revised by integrating the measured scores by area vision weights from all stakeholders (CEO, middle-class managers, developer, investor, and custom). Through this, routes for improvement are presented and an optimized improvement method is suggested. Existing methods to improve software process have been highly effective in division of processes' but somewhat unsatisfactory in structural function to develop and systemically manage strategies by applying the processes to Projects. The proposed OT model provides a solution to this problem. The OT model is useful to provide an optimal improvement method in line with organization's goals and can reduce risks which may occur in the course of improving process if it is applied with proposed methods. In addition, satisfaction about the improvement strategy can be improved by obtaining input about vision weight from all stakeholders through the qualitative questionnaire and by reflecting it to the calculation. The OT is also useful to optimize the expansion of market and financial performance by controlling the ability of Quality, Delivery, Cycle time, and Waste.

• Journal of Internet Computing and Services
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• v.18 no.3
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• pp.71-83
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• 2017

In recent years, by utilizing the greatest strengths of process mining, the various research activities have been actively progressed to use auditing work of business organization. On the other hand, there is insufficient research on systematic and efficient analysis of massive data generated under big data environment using process mining, and proactive monitoring of risk management from audit side, which is one of important management activities of corporate organization. In this study, we intend to realize Hadoop-based internal audit integrated real-time monitoring system in order to detect the abnormal symptoms in prevent accidents in advance. Through the integrated real-time monitoring system for purchasing audit, we intend to realize strengthen the delivery management of purchasing materials ordered, reduce cost of purchase, manage competitive companies, prevent fraud, comply with regulations, and adhere to internal control accounting system. As a result, we can provide information that can be immediately executed due to enhanced purchase audit integrated real-time monitoring by analyzing data efficiently using process mining via Hadoop-based systems. From an integrated viewpoint, it is possible to manage the business status, by processing a large amount of work at a high speed faster than the continuous monitoring, the effectiveness of the quality improvement of the purchase audit and the innovation of the purchase process appears.

• Journal of Internet Computing and Services
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• v.4 no.5
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• pp.11-19
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• 2003

Since B2C(Business to Customer) from which e-commerce had originated was replaced by B2B, e-Business has shown fast growth so fa., Recently, e-Procurement by l:n concept is on the development as self-purchase system associated with their own ERP In many conglomerates in the Korean market. However, in order to vitalize e-Biz in the plant industry, we need to set up e-marketplaces where many sellers and buyers can meet each other at the same time, which has become the essential part for success as an expanded business model. In this paper, we expect that the foundation for e-transformation in the plant industry is set up by developing Purchase Process System and related modules as the prerequisite for e-Biz in the plant industry, and this report will provide an exemplary model for e-commerce. The Purchase Process System consists of 1) e-Purchasing Module that manages bidding and contract information based on quotation inquiry, 2) e-Expediting Module that manages information to guarantee the on-time delivery, 3) e-Certification Module that controls user authentification, 4) e-Basic Module that manages the bulletin boards, Q&A, etc.

• Journal of Digital Contents Society
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• v.12 no.4
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• pp.593-600
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• 2011

In the case of the domestic medical industry, work is conducting according to the convenience of the developer without guiding principles regarding tailoring and a number of processes and products that should not have been omitted considering the characteristics of corresponding sites were discovered. As a result of this omission, it was found that the delivery period was not met and problems arose for an extensive period of time after the activation of the system. The lack of critical processes and products had a negative impact on the productivity and quality of the software. This paper defines the processes that need to be followed as a basis and the products that need to be prepared during the development of a medical information system. Also, additional processes and products are presented depending upon the condition of the project. Especially, the step-by-step assessment processes and products to manage the assessment results were seriously dealt with in this study to strengthen the compliance of processes and the product quality.

• The Transactions of the Korea Information Processing Society
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• v.3 no.1
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• pp.1-8
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• 1996

A conveyor system in corrugated manufacturing industry may be in charge of carriage/storage, and may control logistics flow and production activities of products in a manufacturing process which consists of corrugators, conveyors, and printer-slotter systems. It identifies problems that the conveyor system in this case study is overloaded and often operated manually. This research is to evaluate e the conveyor system though simulation model of technological evaluation beyond d eco-nomic and qualitative one. The rate of operation and the load of the conveyor system are used as parameters in the simulation. This paper suggests a direction to a new conveyor system implementation the basis of the results that are derived by new alternatives based on current model. The best alternative is supposed to be the number of conveyors and the operation times of the printer-slotter that may be increased at the same time.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.233-240
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• 2016

Information system development projects, have a mechanism for many of the costs generated by a variety of risk factors. In general, the probability that the software project of the information system is carried out successfully in the delivery time is very low. This prediction of a formal cost is needed as the most important factor since it can prevent the project from being failed. However, objectivity of most of the project scale calculation during the calculation criteria is insufficient. Further, it is the actual situation that the management of the base line is not properly made during the project. Therefore, in this paper, we propose a model to calculate the number of steps it takes to develop on the basis of a methodology in an attempt to overcome the limitation of being unpractical in the early stage of the information system development project. It is expected to be a tool to estimate the effort and cost required by the information system development business through these convergence proposals model.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.209-219
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• 2014

With rapid convergence of information technology and expending role of software, many organizations have taken interested in We explore the relationship between the level of change awareness and deployment of software process improvement (SPI) approaches using a competing values framework. To measure awareness level of organization's change, DICE framework which provides means for predicting the outcome of change management initiatives is used. The four factors for organizaton's change: duration, integrity, commitment, and effort are evaluated and a score is calculated. In this paper, we apply the DICE(R) score as an independent variable to predict the outcome of a software process improvement. Our results indicated that the Organization have a higher chance of success have the better outcome in software process improvement.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.170-185
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• 2019

This study is intended to look into the structural relationship between SCM activity, process innovation and quality performance in small and medium sized enterprisers(SMEs). To achieve this, a survey was empirically carried out to 354 SCM operating officers and managers who perform the SCM activities in small and medium sized manufacturing firms. The results are summarized as follows. Overall, the SCM activity and process innovation had a significant effect on the quality performance, having a structural relationship with the quality performance in SEMs. This implies that the strategic alliance of the SCM activities and competence concentration based on technology development in SEMs can organize the unity through organizational members' information sharing. In other words, when the information integration supports the compatibility and reliability of shared information system by raising technological competence through this, the process innovation can lead to non-financial cost reduction, product quality, delivery compliance and inventory cost reduction as quality performance of the structured process, management and distribution.

• Korean Journal of Construction Engineering and Management
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• v.16 no.5
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• pp.54-64
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• 2015

The modular construction has several advantages such as high quality of product, safe work condition and short construction duration. The manufacturing planning of modular construction should consider time frame of manufacturing, transport and erection process with limited resources (e.g., modular units, transporter and workers). The manufacturing planning of multi modular construction project manages the modular construction's characteristics and diversity of projects, as a type of modular unit, modular unit quantities, and date for delivery. However, current modular manufacturing planning techniques are weak in dealing with resource interactions and each project requirement in multi modular construction project environments. Inefficient allocation of resources during multi modular construction project may cause delays and cost overruns to construction operation. In this circumstance, this research suggest a manufacturing planning model for schedule optimization of multi project of modular construction, using genetic algorithm as one of the powerful method for schedule optimization with multiple constrained resources. Comparing to the result of the existed schedule of case study, setting optimized scheduling for multi project decrease the total factory producing schedule. By using proposed optimization tool, efficient allocation of resource and saving project time is expected.