• 산업경영시스템학회지
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• 제39권4호
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• pp.137-146
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• 2016

In recent years, business environment is faced with multi uncertainty that have not been suffered in the past. As supply chain is getting expanded and longer, the flow of information, material and production is also being complicated. It is well known that development service industry using application software has various uncertainty in random events such as supply and demand fluctuation of developer's capcity, project effective date after winning a contract, manpower cost (or revenue), subcontract cost (or purchase), and overrun due to developer's skill-level. This study intends to social contribution through attempts to optimize enterprise's goal by supply chain management platform to balance demand and supply and stochastic programming which is basically applied in order to solve uncertainty considering economical and operational risk at solution supplier. In Particular, this study emphasizes to determine allocation of internal and external manpower of developers using S&OP (Sales & Operations Planning) as monthly resource input has constraint on resource's capability that shared in industry or task. This study is to verify how Stochastic Programming such as Markowitz's MV (Mean Variance) model or 2-Stage Recourse Model is flexible and efficient than Deterministic Programming in software enterprise field by experiment with process and data from service industry which is manufacturing software and performing projects. In addition, this study is also to analysis how profit and labor input plan according to scope of uncertainty is changed based on Pareto Optimal, then lastly it is to enumerate limitation of the study extracted drawback which can be happened in real business environment and to contribute direction in future research considering another applicable methodology.

• 산업경영시스템학회지
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• 제41권2호
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• pp.65-73
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• 2018

The dynamic capabilities of sensing market signals, creating new opportunities and reconfiguring resources and capabilities to new opportunities in a rapidly changing economic environment determines the competitiveness of the enterprise to create added value and survival. This study conceptualized a two-stage performance measurement framework based on the casual model of resource (input)-process-performance (output). We have developed a 'Process capability index' that reflect the dynamic capabilities factors as a key intermediary product linking resource inputs and performance outputs in enterprise performance measurement. The process capability index consists of four elements : manpower (level of human resource), operation productivity, structure and risk management. The DEA (Data Envelopment Analysis) model was applied to the developed performance indicators to analyze the branch office performance of a telecom company. Process capability efficiency (stage 1) uses resource inputs to reach a certain level of process capabilities. In performance result efficiency (stage 2), the process capabilities are used to generate sales revenues and subscribers. The two-stage DEA model derives intermediate output values that optimize the individual stages simultaneously. Some branch offices in the telecom company have focused on process capability efficiency or some other branch offices focused on performance result efficiency. Positioning map using two-stage efficiency decomposition and benchmarking can help identify the sources of inefficiencies and visualize strategic directions for performance optimization. Applications of two-stage DEA in conjunction with the case study that are meaningfully used in performance measurement areas have been scarce. In particular, this paper has the contribution to present a new performance measurement model considering the organization theory, the dynamic capabilities.

• Journal of Information Processing Systems
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• 제14권2호
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• pp.487-498
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• 2018

The purpose of the high-speed railway construction is to better satisfy passenger travel demands. Accordingly, the design of the train working plan must also take a full account of the interests of passengers. Aiming at problems, such as the complex transport organization and different speed trains coexisting, combined with the existing research on the train working plan optimization model, the multiobjective bi-level programming model of the high-speed railway passenger train working plan was established. This model considers the interests of passengers as the center and also takes into account the interests of railway transport enterprises. Specifically, passenger travel cost and travel time minimizations are both considered as the objectives of upper-level programming, whereas railway enterprise profit maximization is regarded as the objective of the lower-level programming. The model solution algorithm based on genetic algorithm was proposed. Through an example analysis, the feasibility and rationality of the model and algorithm were proved.

• Environmental Engineering Research
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• 제19권4호
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• pp.369-373
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• 2014

In view of the problem of the invalidity of the incentive mechanism of the ecological subsidies, which is due to the information asymmetry between the government's supervision and the enterprise endeavor to fulfill their ecological responsibilities, this paper attempts to analyze the supervision of ecological subsidies based on the Principal-agent Model. Two conclusions are drawn: firstly, the government's supervision regarding the effect of the enterprises' fulfilling the ecological responsibilities can significantly reduce the information asymmetry; secondly, the government's incentive strength and the enterprises' endeavor level of fulfilling the ecological responsibilities are both improving the surveillance dynamics. Here is the suggestion: with the increasing of the surveillance dynamics of the government and the transparency of the enterprises' fulfilling the ecological responsibilities, the government should meanwhile increase the subsidies incentive strength, therefore, to promote the effort level of the enterprises' fulfilling the ecological responsibilities to approach to the Pareto optimal value.

• 한국경제지리학회지
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• 제11권1호
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• pp.24-44
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• 2008

지금까지 조절이론은 주로 경제적 및 사회적 측면의 조절과정에 주목해 온 반면, 공간적 측면의 조절과정은 간과해 왔다. 특히 탈사회주의 체제전환 과정에 대한 조절이론적 접근은 거의 이루어진 바가 없다. 이에 본 논문은 탈사회주의 체제전환 과정에서 나타나는 공간경제의 전환을 조절이론의 관점에서 이론화하고자 한다. 공간경제는 경제체제에 따른 사회적 관계를 반영하고 이를 조건지우는 맥락으로서 사회적 재생산이 일어나는 배경이다. 따라서 국가 사회주의에서 자본주의로의 체제전환 과정이 일어나면, 이와 관련한 사회적 관계의 변동이 수반될 뿐만 아니라 구체적 수준의 기업 및 산업 네트워크의 변동이 초래된다. 이와 같은 맥락에서, 우선 본 논문은 기업을 둘러싼 각종의 네트워크를 집합적 의미의'조절양식'으로 간주하는'기업 조절양식'개념 틀을 바탕으로 탈사회주의 체제전환과 관련한 기업 내, 기업 간, 기업 외 관계의 구체적인 분석 내용을 논의하였다. 다음으로 사회경제체계의 거버넌스와 관련한 제도 및 네트워크의 특성에 따라서, 탈 착근적(단선적 성격의 체제이행), 착근적(연속적 성격의 체제전환), 과잉 착근적(과거 유산에 고착된 성격의 체제전환)인 공간경제 유형을 제시하고 이를 이론적 수준에서 설명하였다.

• 산업경영시스템학회지
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• 제40권2호
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• pp.121-128
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• 2017

This paper was to evaluate social enterprises' management efficiency with Data Envelope Analysis (DEA). The data was based on the 168 social enterprises' of annual performance reports published in 2015. The research focused on to measure both financial efficiency and social impact of the companies simultaneously. To apply DEA, the paper classified the enterprises into seven types based on types of socal impacts which each company provides before the estimation of the efficiency. The research results showed that group D, which employes disadvantaged people, provides social services and shares resources was the most efficient group and had higest net worths in Pure Technical Efficiency. In contrast, Group B, which only employs social advantage people and provides social service, was the least efficient one. The research suggests a practical and efficient framework in measuring social enterprises' management efficiency, including both the financial performance and social impacts simultaneously with their self-publishing reports. Because the Korea Social Enterprise Promotion Agency does not open business reports which social enterprises submit each year, there are basic limitations on researchers attempting to analyse with data from all social enterprises in Korea. Thus, this study dealt with only 10% of the social enterprises which self-published their performance report on the Korea Social Enterprise Promotion Agency's web site. Regardless of these limitations, this study suggested substantial methods to estimate management efficiency with the self-published reports. Because self-publishing is increasing each year, it will be the main source of information for researchers in examining and evaluating social enterprises' financial performance or social contribution. The research suggests a practical and efficient framework in measuring social enterprises' management efficiency, including both the financial performance and social impacts simultaneously with their self-publishing reports. The research results suggest not only list of efficient enterprises but also methods of improvement for less efficient enterprises.

• 공학교육연구
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• 제27권4호
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• pp.3-11
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• 2024

This study classified domestic and international systems by type, presenting their key features and examples, with the aim of outlining future directions for system development and research. AI-based learning assistance systems can be categorized into instructional-learning evaluation types and academic recommendation types, depending on their purpose. Instructional-learning evaluation types measure learners' levels through initial diagnostic assessments, provide customized learning, and offer adaptive feedback visualized based on learners' misconceptions identified through learning data. Academic recommendation types provide personalized academic pathways and a variety of information and functions to assist with overall school life, based on the big data held by schools. Based on these characteristics, future system development should clearly define the development purpose from the planning stage, considering data ethics and stability, and should not only approach from a technological perspective but also sufficiently reflect educational contexts.

• 산업경영시스템학회지
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• 제30권2호
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• pp.89-98
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• 2007

In this paper the economic value of weather forecasts is valuated for profit-oriented enterprise decision-making situations. Value is estimated in terms of monetary profits (or benefits) resulted from the forecast user's decision under the specific payoff structure, which is represented by a profit/loss ratio model combined with a decision function and a value score (VS). The forecast user determines a business-related decision based on the probabilistic forecast, the user's subjective reliability of the forecasts, and the payoff structure specific to the user's business environment. The VS curve for a meteorological forecast is specified by a function of the various profit/loss ratios, providing the scaled economic value relative to the value of a perfect forecast. The proposed valuation method based on the profit/loss ratio model and the VS is adapted for hypothetical sets of forecasts and verified for site-specific probability of precipitation forecast of 12 hour and 24 hour-lead time, which is generated from Korea meteorological administration (KMA). The application results show that forecast information with shorter lead time can provide the decision-makers with great benefits and there are ranges of profit/loss ratios in which high subjective reliability of the given forecast is preferred.

• 한국정보통신학회논문지
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• 제18권10호
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• pp.2323-2330
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• 2014

정보화 사회의 발전으로 각 조직체는 정보시스템 의존도가 매우 높아지고 있다. 이에 따라 정보시스템에 장애가 발생하여 신속하게 대응하지 못하면 조직체의 신뢰에 치명적인 결과를 초래하게 된다. 최근에는 정보시스템의 지나친 업무 의존도 때문에 사이버테러의 주요 공격 목표가 되고 있다. 대학의 정보시스템은 기업의 정보시스템 보다 안전성이 더욱 취약하지만, 정보시스템의 가용성 확보를 위한 정책지원이 거의 없는 실정이다. 본 논문은 대학의 학사정보 서비스를 위해 시스템 장애에 대비한 재난 복구의 이론적인 내용을 고찰하고 학사정보 서비스의 가용성이 확보될 수 있는 PC 기반 학사행정 고가용성 정보시스템 구현에 관하여 연구하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1193-1215
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• 2021

The measurement of the key product quality index plays an important role in improving the production efficiency and ensuring the safety of the enterprise. Since the actual working conditions and parameters will inevitably change to some extent with time, such as drift of working point, wear of equipment and temperature change, etc., these will lead to the degradation of the quality variable prediction model. To deal with this problem, the selective integrated moving windows based principal component regression (SIMV-PCR) is proposed in this study. In the algorithm of traditional moving window, only the latest local process information is used, and the global process information will not be enough. In order to make full use of the process information contained in the past windows, a set of local models with differences are selected through hypothesis testing theory. The significance levels of both T - test and χ² - test are used to judge whether there is identity between two local models. Then the models are integrated by Bayesian quality estimation to improve the accuracy of quality variable prediction. The effectiveness of the proposed adaptive soft measurement method is verified by a numerical example and a practical industrial process.