• 산업경영시스템학회지
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• 제11권17호
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• pp.67-80
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• 1988

This study is concerned with the comparison of two time homogeneous Poisson processes. Traditionally, the methods of testing equality of Poisson processes were based on the binomial distribution or its normal approximations. The sampling plans used in these methods are to observe the processes concurrently over a predetermined time interval, possibly different for each process. However, when the values of the intensities of the processes are small, inverse type sampling plans are more appropriate since there may be cases where only a few or even no events are observed in the predetermined time interval. This study considers 9 inverse type sampling plans for the comparison of two Poisson processes. For each sampling plans considered, critical regions and the design parameters of the sampling plan are determined to guarantee the significance level and the power at some values of the alternative hypothesis. The Problem of comparing of two Weibull processes are also considered.

• 대한산업공학회지
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• 제36권3호
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• pp.176-185
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• 2010

As long as the information systems are spread out, various efforts are being attempted to get the effective results by the system. As a result, a new management strategy has been appeared, referred to as "collaboration", and it is necessary to use a right methodology for modeling collaborative processes accordingly. Even though many modeling methodologies such as IDEF3, Petri-Nets, UML, and ARIS have been widely used for modeling processes, they are inadequate for clearly representing collaborative processes. Some researchers, therefore, have suggested new modeling methodologies for describing collaborative processes including CPM (collaborative process modeling). In this paper, we introduce an extended version of CPM method (i.e., exCPM) as a tool for modeling collaborative works after analyzing advantages and disadvantages of aforementioned methodologies. One of distinct characteristics of exCPM is that model verification is possible by transforming the exCPM models into Petri-Nets models. We also demonstrate transformation of an exCPM model in this paper with case studies for model verification.

• 품질경영학회지
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• 제45권4호
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• pp.697-708
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• 2017

Purpose: The purpose of this study is to investigate the characteristics and limitations of various R&D processes. And to propose new R&D processes by analyzing the characteristics of the era of the fourth industrial revolution that will lead to innovative changes throughout the industry. Methods: Research method is to analyze the previous research on existing R&D process and draw out implications, and develop a new R&D process model that reflects characteristics of the fourth industrial revolution era. Results: This study analyzes the characteristics and situation of existing R&D process and derives the features of parallel structure and modularity suitable for the 4th industrial revolution era, characterized by super connectivity, super intelligence, super fusion. And propose a R&D process model that can respond flexibly and promptly to various market and customer needs. Conclusion: Suggestions for the development of R&D processes suitable for the fourth industrial revolution era will present new strategies and measures and provide diverse & innovative opportunities.

• 대한산업공학회지
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• 제31권2호
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• pp.152-163
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• 2005

The focus of enterprise collaboration of supply chain management, has changed from integrating and exchanging business information to integrating and managing business processes between business partners. However, the collaboration is difficult due to the inherent complexity such as diverse business processes and dynamic business environments. To settle these problems, a reference model based enterprise architecture framework for the collaboration of supply chains is proposed in this paper. The supply chain collaboration framework is composed of three reference models capturing the different views of supply chain collaboration: supply process reference model, service component reference model, and technology and standard reference model. As the framework adapts the OMG's metadata architecture, the processes in the supply chain can be extended and integrated with other value chains, such as design chains, when it is necessary. Using the proposed framework, business managers can rapidly integrate and manage their business processes with their suppliers and customers.

• Korean Chemical Engineering Research
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• 제60권1호
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• pp.25-33
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• 2022

본 연구에서는 흑액 증발공정에 소비되는 스팀의 절감량을 예측하기 위해 증발기 수에 따른 다중 효용 증발공정 모델을 개발하였다. 개발한 공정 모델은 흑액의 예열 및 증발 과정으로 구성되어 있고, 스팀 사용량을 예측하기 위해 가상의 재비기가 추가되었다. 시뮬레이션 결과, 2중 효용 증발기에서 스팀 사용량은 48.9% 감소하였고, 증발기 수가 증가함에 따라 스팀 사용량이 감소하여 8중 효용 증발기에서 최대 76.5% 감소함을 확인하였다. 시뮬레이션 결과를 증발기 수에 따른 포화증기의 잠열 회수량, 스팀 사용량, 각 증발기의 포화증기 생산량으로 분석하여 최적의 증발기 수 도출을 위한 방안을 제시하였다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2000년도 춘계공동학술대회 논문집
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• pp.664-667
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• 2000

Although managing knowledge about business processes has been recognized as an important aspect of Knowledge Management System (KMS), it has not been satisfactorily addressed academically or commercially. This paper proposes a KMS architecture to effectively manage business process as knowledge. It expands commonly recognized KMS functions with the process packaging module that defines business processes, monitors and evaluates process instances, keeps process instance history, and provides link between processes and other knowledge items such as documents and experts. The users can not only find the best practice of a business process but also learn from mistakes. A prototype system is implemented to show the feasibility of the proposed architecture. The results of this paper can contribute to expand current KMSs to help use knowledge to enhance the users' performance in their business processes.

• 품질경영학회지
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• 제33권3호
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• pp.105-113
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• 2005

Six sigma has been the most influential management innovation program in a number of leading companies and its application has extended beyond manufacturing processes. Most companies have taken company-wide six sigma initiatives to also improve transactional and R&D processes. However, due to the limitation of existing methodologies, numerous difficulties arise during the six sigma application to non-manufacturing processes. In this study, a modified six sigma framework is proposed to facilitate six sigma implementation to transactional processes. The newly developed framework is applied to a six sigma project of the new product launching process of a marketing area.

• 한국경영과학회지
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• 제12권1호
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• pp.175-175
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• 1987

Business reengineering (BR) is an emerging idea that attempts to restructure inefficient, current business processes through redesigning jobs and exploiting new information technology (IT), and helps achieving significant improvements in white-collar productivity and returns of IT investment. This research analyzed order-taking and purchasing processes of a company (a coil distributor) using BR concepts, models and principles. We also made proposals for reengineering the present business processes. For this, BR literatures were reviewed to derive BR models and principles to be used for analyses. We applied these ideas to six(6) types of order-taking and purchasing processes of Company T. For each type, current processes, BR analyses, and proposals for BR were described. Finally, findings were summarized and discussed.

• 한국CDE학회논문집
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• 제17권4호
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• pp.294-302
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• 2012

Process mining is a useful methodology that can be used for extracting user patterns in log files in order to discover efficient or inefficient processes in organizations. In general, it is used to find and reduce differences between pre-defined processes and actually executed processes in an organization. In this paper, we propose a method to improve processes in PDM/PLM systems based on process mining. In order to improve and detect the inefficient processes, we gathered event logs from PDM/PLM systems and derived process models using several process mining techniques such as ${\alpha}$-algorithm mining, heuristics mining, and fuzzy miner. By comparing original process models with process mining results, it is possible to detect differences between predefined processes and real ones; thereby we can build improved process models for future application.

• 대한산업공학회지
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• 제17권1호
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• pp.117-126
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• 1991

When {X(t), t ${\geq}$ 0} is a Markov process representing time-varying system states, we develop efficient bounding methods for some time-dependent performance measures. We use the discretization technique for stochastically monotone Markov processes and a combination of discretization and uniformization for Markov processes with the stochastic convexity(concavity) property. Sufficient conditions for stochastic monotonocity and stochastic convexity of a Markov process are also mentioned. A simple example is given to demonstrate the validity of the bounding methods.