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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korean Operations Research and Management Science Society
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Journal DOI :
The Korean Operations and Management Science Society
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Volume & Issues
Volume 34, Issue 4 - Dec 2009
Volume 34, Issue 3 - Sep 2009
Volume 34, Issue 2 - Jun 2009
Volume 34, Issue 1 - Mar 2009
Selecting the target year
A Study on the Factors Affecting Knowledge Contribution and Knowledge Utilization in an Online Knowledge Network
Jung, Jae-Hwuen ; Yang, Sung-Byung ; Kim, Young-Gul ;
Journal of the Korean Operations Research and Management Science Society, volume 34, issue 3, 2009, Pages 1~27
Since online knowledge networks usually consist of a larger, loosely knit, and geographically distributed group of "strangers" who may not know each other very well, members may not willingly share their knowledge with others. In order to address this challenge, this study looks Into the factors that are expected to affect knowledge sharing in an online knowledge network. For empirical validation, we choose "the global network of Korean scientists and engineers (KOSEN)" as one of the best practices of online knowledge networks. By using the archival, network, and survey data, we validate two models of knowledge sharing in sequence (i.e., knowledge contribution and knowledge utilization models) and then discuss the results. The findings of this study show that individuals not only contribute but also utilize knowledge in an online knowledge network when they are structurally embedded and perceive a strong reciprocity. In the network. In addition, taking pleasure in helping is found to positively affect knowledge contribution, whereas perceiving usefulness is found to Influence knowledge utilization. Contributions of this study and future research opportunities are also discussed.
A GA-based Classification Model for Predicting Consumer Choice
Min, Jae-H. ; Jeong, Chul-Woo ;
Journal of the Korean Operations Research and Management Science Society, volume 34, issue 3, 2009, Pages 29~41
The purpose of this paper is to develop a new classification method for predicting consumer choice based on genetic algorithm, and to validate Its prediction power over existing methods. To serve this purpose, we propose a hybrid model, and discuss Its methodological characteristics in comparison with other existing classification methods. Also, we conduct a series of experiments employing survey data of consumer choices of MP3 players to assess the prediction power of the model. The results show that the suggested model in this paper is statistically superior to the existing methods such as logistic regression model, artificial neural network model and decision tree model in terms of prediction accuracy. The model is also shown to have an advantage of providing several strategic information of practical use for consumer choice.
A New Exact Algorithm Using the Stair Structure for the Pallet Loading Problem
Ji, Yeong-Geun ; Jin, Go-Whan ;
Journal of the Korean Operations Research and Management Science Society, volume 34, issue 3, 2009, Pages 43~53
The pallet loading problem(PLP) requires the best orthogonal layout that loads the maximum number of identical boxes(small rectangle) onto a pallet(large rectangle). Since the high pallet utilization saves the distribution and storage costs, many heuristic and exact algorithms have been developed so far. Martins and Dell have found the optimal layouts for the all PLPs less than or equal to 100 boxes except for only 5 problems in their recent research. This paper defines the 'stair structure' and proposes a new exact algorithm applying it. In order to show the priority of the proposed algorithm, computational results are compared to previous algorithms and the optimal layouts for the S unsolved problems are given.
Optimal Revenue Sharing in a Supply Chain of Rental Industries
Park, Hae-Churl ; Cho, Jae-Eun ;
Journal of the Korean Operations Research and Management Science Society, volume 34, issue 3, 2009, Pages 55~69
It is often to apply revenue sharing models in rental industries which consist of a retailer and a wholesaler. This research analyzed the influences to profit of the supply chain if we adopt the revenue sharing model when the demand is uncertain and price sensitive. We found the conditions of the revenue sharing model to maximize the profit of the supply chain, and identified incentive compatible conditions for revenue sharing. It is proved that vertical integration guarantees maximization of profit for the supply chain. Also we found that it is possible to derive Incentive compatible schemes by controlling ranges of revenue sharing ratios.
A Dynamic Remanufacturing Planning Problem with Discount Purchasing Options
Lee, Woon-Seek ;
Journal of the Korean Operations Research and Management Science Society, volume 34, issue 3, 2009, Pages 71~84
This paper considers a remanufacturing and purchasing planning problem, in which either used products(or wastes) are remanufactured or remanufactured products(or final products) are purchased to satisfy dynamic demands of remanufactured products over a discrete and finite time horizon. Also, as remanufactured products are purchased more than or equal to a special quantity Q, a discount price policy is applied. The problem assumes that the related cost(remanufacturing and inventory holding costs of used products, and the purchasing and inventory holding costs of remanufactured products) functions are concave and backlogging is not allowed. The objective of this paper is to determine the optimal remanufacturing and purchasing policy that minimizes the total cost to satisfy dynamic demands of remanufactured products. This paper characterizes the properties of the optimal policy and then, based on these properties, presents a dynamic programming algorithm to find the optimal policy. Also, a network-based procedure is proposed for the case of a large quantity of low cost used products. A numerical example is then presented to demonstrate the procedure of the proposed algorithm.
A Study on the Effects of Collaborative Supply Management on Buyer and Supplier Performance : From a View of Capabilities Transfer Throughout the Supply Chain
Lee, Su-Yol ;
Journal of the Korean Operations Research and Management Science Society, volume 34, issue 3, 2009, Pages 85~104
Managers have come to realized that a large and increasing amount of sources for a corporate competitive advantage can be found in their company's supply chain. At a fundamental level, there is a similar consensus that building a collaborative supply management is a more effective way of managing firms' supply chains. This paper is an attempt to examine the effects of collaborative supply management by probing a mechanism which shows how competences and/or performance are transferred from suppliers to markets through the supply chains. Research hypotheses regarding the relationships between collaborative supply management, supplier Performance, buyer internal performance (new product development and operational performance), and buyer market performance were empirically validated by utilizing a structural equation modeling analysis. The research result Indicates the positive impacts of a collaborative supply chain on supply performance as well as buyer internal and market performance, which also well illustrate how the improved competence and/or performance of suppliers engendered from the supplier-buyer collaboration flows throughout the entire supply chain.
DEA-AR/AHP Model Design for Efficiency Evaluation of Metropolitan Rapid Transit
Sim, Gwang-Sic ; Kim, Jae-Yun ;
Journal of the Korean Operations Research and Management Science Society, volume 34, issue 3, 2009, Pages 105~124
Data Envelopment Analysis (DEA) is a methodology of computing the relative efficiency of each decision making unit (DMU) by comparing it with other DMUs having similar input and output structure. In this paper, we compare the efficiency of Korean rail transit corporations using DEA. To do this, we design a DEA-AR/AHP model, and evaluate efficiency by comparing the subway operating agencies of six big cities. The analysis reveals that Seoul Metro and Seoul city railroad construction turn out to be the most efficient groups. The result of this research can provide helpful information for effective management in a domestic subway operating agency.
A Study on the Quadratic Multiple Container Packing Problem
Yeo, Gi-Tae ; Soak, Sang-Moon ; Lee, Sang-Wook ;
Journal of the Korean Operations Research and Management Science Society, volume 34, issue 3, 2009, Pages 125~136
The container packing problem Is one of the traditional optimization problems, which is very related to the knapsack problem and the bin packing problem. In this paper, we deal with the quadratic multiple container picking problem (QMCPP) and it Is known as a NP-hard problem. Thus, It seems to be natural to use a heuristic approach such as evolutionary algorithms for solving the QMCPP. Until now, only a few researchers have studied on this problem and some evolutionary algorithms have been proposed. This paper introduces a new efficient evolutionary algorithm for the QMCPP. The proposed algorithm is devised by improving the original network random key method, which is employed as an encoding method in evolutionary algorithms. And we also propose local search algorithms and incorporate them with the proposed evolutionary algorithm. Finally we compare the proposed algorithm with the previous algorithms and show the proposed algorithm finds the new best results in most of the benchmark instances.
Analytic Model for Performance Evaluation of B-MAC Protocol under Contention Transmission Condition of Two Senders
Jung, Sung-Hwan ; Kwon, Tae-Kyoung ;
Journal of the Korean Operations Research and Management Science Society, volume 34, issue 3, 2009, Pages 137~153
In this paper, we present an analytic model that evaluates the performance of B-MAC protocol under contention transmission conditions of two senders in a single-hop wireless sensor network. Our model considers the impact of several important factors such as sleep cycle, the backoff mechanism and incoming traffic loads. After obtaining the service delay distribution of a sending node and expected delay of a receiving node, an iterative algorithm is presented for calculating the performance measures such as expected energy consumption usage per packet and latency. Simulation results show that the proposed analytic model can accurately estimate the performance measures under different traffic conditions.
Probabilistic Modeling for Evaluation of Information Security Investment Portfolios
Yang, Won-Seok ; Kim, Tae-Sung ; Park, Hyun-Min ;
Journal of the Korean Operations Research and Management Science Society, volume 34, issue 3, 2009, Pages 155~163
We develop a probability model to evaluate information security investment portfolios. We assume that organizations install portfolios of information security countermeasures to mitigate the damage such as loss of the transaction being processed, damage of hardware and data, etc. A queueing model and Its expected value analysis are used to derive the lost cost of transactions being processed, the replacement cost of hardwares, and the recovery cost of data. The net present value for each portfolio is derived and organizations can select the optimal information security investment portfolio by comparing portfolios.
The Impact of the Manufacturer's E-business through Direct Internet Channel on the Incumbent Independent Physical Store and the Market
Yoo, Weon-Sang ;
Journal of the Korean Operations Research and Management Science Society, volume 34, issue 3, 2009, Pages 165~177
The purpose of this study is to investigate the impact of the Internet channel introduction on the channel composed of a monopoly manufacturer and an independent physical retailer. This study also examines what would be the best strategy for the Independent physical retailer to respond to the new internet channel entry. The game theoretic model consists of a monopolist manufacturer selling its product through a channel system including one independent physical store before the entry of an internet store. The audition of the internet store to this channel system results in a mixed channel comprised of two different types of channels. The new internet store is launched by the manufacturer. The results show that an Internet channel entry has the following impacts on the existing channel members. First, the manufacturer's internet channel introduction mitigates the double marginalization problem of the traditional channel. Second, the manufacturer could enhance Its channel power by introducing its own internet channel while it diminishes that of the incumbent independent physical retailer. Third, manufacturer's adding a new internet store leads to a higher demand. Finally, with its own internet direct channel, the manufacturer has an opportunity to practice price discrimination. The manufacture leaves only those with a strong preference for the physical store to be served by the Independent physical store. The results suggest that the independent physical store's best strategy to the entry of the manufacturer's Internet channel is to focus on the consumers who are highly loyal to the physical store while maintaining a high retail price.