• Korean Management Science Review
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• v.33 no.4
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• pp.77-89
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• 2016

Due to recent proliferation of the mobile shopping channels, customers increasingly tend to purchase using online channel while experiencing physical products in offline shops. This phenomenon requires traditional offline retailers to consider integrating online channels. In this study, we propose strategic options for the traditional offline retailers regarding the online channel integration, and provide corresponding decision models to maximize the expected profits. We also investigate how the strategic options vary with the product characteristics, by categorizing the products based on inventory cost, demand uncertainty, and fitness to the online channels. By analyzing numerical examples we illustrate how the best online channel integration strategy should be differentiated depending on the product categories.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.91-121
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• 2003

The rapid development and diversification of technology require that firms should adjust and cope with a high degree of uncertainty regarding independent efforts in technology development. An alternative to these strategic responses is the R&D or technological collaborations among firms. There have been many researches on the reasons for and effects of these collaborative relationships; however, research examining the risks involved in the process of collaboration is lacking. The researches into essential prerequisites for successful technological collaborations have remained more or less premature despite of the increasing demand for interfirm R&D collaborations. In other words, the existing literature has mainly focused on the choice of collaborations, but has paid little attention to the processes of collaborations. This study tries to identify and integrate both success and risk factors affecting the decision making of whether collaborations are attempted or not and R&D collaboration processes. Finally, a model of interfirm collaborations is suggested and also practical implications for the firms which consider R&D collaboration with other firms are provided.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.32
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• pp.155-162
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• 1994

The Japanese "Just-In-Time" technique reduces inventory and unnecessary factors. This technique makes the success of Japanese firms, therefore many Korean firms try to apply it to their situation. But the technique doesn't bare the same success in Korean firms. This paper, therefore, considers the different situations between Korean rim and Japanese firm, then simulates the Pull system and Push system for a multiline, multistage production system. This paper drives the different results of simulation according to variable processing times, variable demand, set-up time and shortages in Pull system and Push system using GPSS. The results show that the performance of Pull system is lower than Push system's in variable master production scheduling and variable processing times.ing times.

• Management Science and Financial Engineering
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• v.22 no.1
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• pp.21-26
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• 2016

We analyze how firms' global production activities affect their inventory supply and financial performance in regards to its production location. For the analysis, we use information on global production quantities of 3,076 Korean multinational firms that operate business in Europe and Asia through foreign direct investment (FDI) from 2006 to 2013. Our estimation results show that an increase in global production ratio, measured by global production/total production, decreases inventory supply and financial performance of firms that produce in European countries, while it decreases financial performance of firms that produce in Asian countries. Although our results indicate that global production decreases financial performance of firms that produce in Europe and Asia, we find that its negative effects on financial performance are different based on the market demand uncertainty.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.396-396
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• 2000

Multiperiod optimization is the key step to tackle the supply chain optimization problems. Taking supply and demand uncertainty or prediction into consideration during the process synthesis phase leads to the maximization of the profit for the long range time horizon. In this study, new algorithm based on the Genetic Algorithms is proposed for multiperiod optimization formulated in MINLP, GDP and hybrid MINLP/GDP. In this study, the focus is given especially on the design of the Genetic Algorithm suitable to handle disjunctive programming with the same level of MINLP handling capability. Hybridization with the Simulated Annealing is tried. and many heuristics are adopted for this purpose.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.122-125
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• 2007

In recent years, there has been an increasing demand for improved accuracy and reliability of Earth Observation Satellite (EOS) data. Most of the data users in the field of remote sensing require understanding of product accuracy and uncertainty. Especially, EOS application products should be validated for practical application in the field. In order to evaluate the availability and applicability of application products, it will be necessary to establish a systematic validation system including techniques, equipments, ground truth data, etc. The Product Validation Site (PVS) for generation and validation of KOMPSAT application products was designed and established with various in-situ equipment and dataset. This paper presents the status of PVS and summarizes some results from experiment studies at PVS.

• Proceedings of the Technology Innovation Conference
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• 1999.06a
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• pp.119-139
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• 1999

The rapid development and diversification of technology require that firms should adjust and cope with a high degree of uncertainty. An alternative to these strategic responses is the recent increase in the number of R&D or technological collaborations among firms. There have been continuous researches into the causes and effects of these collaborative relationships, but there is a lack of research that examines the risks involved in the process of collaboration. The researches into essential prerequisites for a successful technological collaboration have remained at the superficial level despite the surge in demand of R&D collaboration. Therefore, this study proposes positive & negative factors affecting the R&D collaboration process and selection point. In addition, a further step in analysis is taken by integrating both the positive & negative factors. This study emphasizes the importance of inter-trust in activating the process factors within the success factors and reducing the possibility of risk factors.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.245-246
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• 2016

The condensation performance evaluation is required for improved living environment of apartment housings. In the current condensation performance evaluation process, high demand of manual works and repetitive process cause unexpected risks due to uncertainty and inefficiency by applying 2D CAD drawings in simulation tool. Furthermore, the evaluation requires taking in action responding to the expanding use of BIM. In this study, the analysis of current evaluation process and required functions for the process improvement based on BIM modeling were deducted from interviews with experts. It is expected that the results of this study can be employed to develop of process automation module for condensation simulation evaluation.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.6
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• pp.334-339
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• 2004

In this study, a new UC (Unit Commitment) algorithm is proposed to consider the uncertainty of a daily load profile. The proposed algorithm calculates the UC results with the lower load level than the one generated by the conventional load forecast and the more hourly reserve allocation. In case of the worse load forecast, the deviation of the conventional UC solution can be overcome with the proposed method. The proposed method is tested with sample systems, which shows that the new UC algorithm yields completely feasible solution even though the worse load forecast is applied. Also, the effects of the uncertain hourly load demand are statistically analyzed especially by the consideration of the average over generation and the average under generation. Finally, it is shown that independent power producers participating in electricity spot-markets can establish bidding strategies by means of the statistical analysis. Therefore, it is expected that the proposed method can be used as the basic guideline for establishing bidding strategies under the deregulation power pool.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.2
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• pp.129-140
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• 2006

Quantity Flexibility contract coordinates individually motivated supplier and buyer to the systemwide optimal outcome by effectively allocating the costs of market demand uncertainty. The main feature of the contract is to couple the buyer's commitment to purchase no less than a certain percentage below the forecast with the supplier's guarantee to deliver up to a certain percentage above. In this paper we refine the previous models by adding some realistic features including the upper and lower limits of the purchase. We also incorporate purchase and canceling costs in a cost function to reflect the real world contracting process more accurately. To obtain the solution of the model, we derive a condition for extreme points using the Leibniz's rule and construct an algorithm for finding the optimal solution of the model. Several examples illustrating the algorithm show that the approach is valid and efficient.