Portfolio management deals with decision making on 'when' and 'how' to revise an existing portfolio. In this paper, we show that a classical statistical process control (SPC) chart for normal data, a wellestablished tool in quality engineering, can effectively be used for signaling times for revising a portfolio. Noting that the day-to-day performance of a portfolio may be auto-correlated, we use the exponentially weighted moving average center-line chart to develop an automatic portfolio management procedure. The portfolio management procedure is extensively tested on historical data of equities traded in the Korea Exchange (KRX), the American Stock Exchange (AMEX), and the New York Stock Exchange (NYSE). In comparison with the performances of the KOSPI, XAX, and NYA indices during the same time periods, results from these experiments show that SPC chart-based portfolio revision presents itself a convenient and reliable method for optimally managing portfolios.

A heterogeneous VRP which considers various capacities, fixed and variable costs was suggested in this study. The transportation cost for vehicle is composed of its fixed and variable costs incurred proportionately to the travel distance. The main objective is to minimize the total sum of transportation costs. A mathematical programming model was suggested for this purpose and it gives an optimal solution by using OPL-STUDIO (ILOG CPLEX). A genetic algorithm which considers improvement of an initial solution, new fitness function with weighted cost and distance rates, and flexible mutation rate for escaping local solution was also suggested. The suggested algorithm was compared with the results of a tabu search and sweeping method by Taillard and Lee, respectively. The suggested algorithm gives better solutions rather than existing algorithms.

As the market rapidly changes, the speed of new product development is highlighted as a critical element which determines the success of firms. While firms endeavor to accelerate the development speed, frequent iterations in a development process hinders the effort of acceleration. For this reason, many previous researches tried to find the optimal structure of the development process which minimizes the number of iterations. However, such researches have a limitation in that they can be applied to only a single-project environment. In a multi-project environment, waiting time induced by lack of resources also delays the process as well as the iterations do. In this paper, we propose dynamic sequencing method focusing on both iterations and waiting time for reducing the durations of development projects in a multi-project environment. This method reduces the waiting time by changing the sequence of development tasks according to the states of resources. While the method incurs additional iterations, they are expected to be offset by the reduced waiting time. The results of simulation show that the dynamic sequencing method dramatically improves the efficiency of a development process. Especially, the improvement is more salient as projects are more crowded and the process is more unbalanced. This method gives a new insight in researches on managing multiple development projects.

The facility layout problem (FLP) involves the positioning of facilities within a given workplace in order to minimize the material flow distance between facilities. In this paper, we focus on the FLP in which the each facility has a rectangular shape and an input and output points. We develop a heuristic algorithm in which the facilities are arranged according to the layout algorithm using center of gravity and then simulated annealing algorithm is applied to improve the solution. A comparison of the computational results with exiting algorithms shows that the proposed algorithm provides better solutions in reasonable range of computational time.

As the sales of the Sports Toto, the Korean lottery on sports games, have increased significantly in recent five years, interest in predicting the various results of sports matches has also been raised. Dixon and Coles (1997) proposed a bivariate Poisson model to predict the results of English soccer league matches. In this paper, we pay attention to the physical condition of players that may affect soccer match results and revise Dixon and Coles' model to consider probable fatigue due to the players' short rest followed by their frequent matches. We observed the fatigue effect in the match results, and found positive betting returns available when using our prediction model. Furthermore, the validity of probability-based odds in European and Korean betting markets is analyzed.

This paper represents understanding about social responsibility of companies and a survey analysis for factors affecting in outcomes of win-win cooperation between Large Companies and Small-Medium Companies in establishing of supply chain management. For this study, seventeen questionnaires derived from past literature are surveyed and factor analysis are conducted. As the result, five factors are revealed and four factors among them affect effectively on the win-win cooperation.

When the electrical appliances such as TVs and refrigerators become obsolete, they must be collected to the recycling centers to avoid environmental damages. The obsolete home appliances are first moved to the regional collection point; and then transported to one of the recycling centers. Each recycling center has a limited capacity; and some recycling centers can process only certain types of products. For given locations of the existing collection points and recycling centers, optimally assigning the obsolete home appliances of each type from each collection point to the recycling centers can significantly reduce the total transportation cost. We formulate this problem as an LP problem. We also present an approach to determine the locations of additional recycling centers in order to alleviate the over-utilization of the current recycling centers.

As facing the rapid advance of information technologies, the postal service is required to have capabilities of real-time logistics characterized by collaboration, ubiquity and intelligence which are necessary to the organizational management. In this study we discuss the design of the next generation information system based on real-time enterprise strategy to achieve real-time integrity and upgrade of postal information system. After briefly addressing the issues on developing information system and current situation, we provide the design direction and the framework of the to-be system. We develop detailed specification of each subsystem and provide an operational scenario. We believe when this framework is put into use, it can contribute to competitive performance by giving the integrity and consistency in implementing information systems of the Korea Postal Service.

e-Business in healthcare sector has been called e-Health, which is evolving into u-Health with advances of ubiquitous technologies. Seamless information sharing among health organizations is being discussed in many nations including USA, UK, Australia and Korea. Efforts for establishing the electronic health record (EHR) system and a nation-wide information sharing environment are called NHII (National Health Information Infrastructure) initiatives. With the advent of u-Health and progress of health information systems, information security issues in healthcare sector have become a very significant problem. In this paper, we analyze several issues on health information security occurring in u-Health environment and develop an information security standard for protecting health information. It is expected that the standard proposed in this work could be established as a national standard after sufficient reviews by information security experts, stakeholders in healthcare sector, and health professionals. Health organizations can establish comprehensive information security systems and protect health information more effectively using the standard. The result of this paper also contributes to relieving worries about privacy and security of individually identifiable health information brought by NHII implementation and u-Health systems.

Recent deregulation of Korean electricity industry has made each power generation company pay more attention to maximizing its own profit instead of minimizing the overall system operation cost while guaranteeing system security. Electricity power generation problem is typically defined as the problem of determining both the on and off status and the power generation level of each generator under the given fuel constraints, which has been known as Profit-Based Unit Commitment (PBUC) problem. To solve the PBUC problem, the previous research mostly focused on devising Lagrangian Relaxation (LR) based heuristic algorithms due to the complexity of the problem and the nonlinearity of constraints and objectives. However, these heuristic approaches have been reported as less practical in real world applications since the computational run time is usually quite high and it may take a while to implement the devised heuristic algorithms as software applications. Especially when considering long-term planning problem which spans at least one year, the complexity becomes higher. Therefore, this paper proposes an explicit column generation algorithm using power generation patterns and the proposed algorithm is successfully applied to a Korean power generation company. The proposed scheme has a robust structure so that it is expected to extend general PBUC problems.

A growing number of organizations are considering the adoption of new technologies to enhance their competitiveness. The new projects related with RFID technology are some typical examples: the companies planning to carry out those projects hope that the introduction of new technology into their organization would remedy all their current inefficiencies and eventually bring them considerable economic benefits. However, such successful results would not be obtained if the complicated problems related with S/W and H/W developments, complex team structure or the migration with barcode and etc. are not resolved satisfactorily during the project. In this paper, some potential barriers to successful introduction of new technology, especially that of RFID, are identified and classified into three categories according to the phases of introduction process, i.e., investigation, implementation and application phases. The results of a survey regarding the importance of each barrier, the respondents of which are active developers or consultants of RFID technology, are also given.

This paper addresses vehicle routing planning in freight container transportation systems where a number of loaded containers are to be delivered to their destination places. The system under consideration is static in that all transportation requirements are predetermined at the beginning of a planning horizon. A two-phased procedure is presented for freight container transportation. In the first phase, the optimal model is presented to determine optimal total time to perform given transportation requirements and the minimum of number of vehicles required. Based on the results from the optimal model, in the second phase, ASA(Accelerated Simulated Annealing) algorithm is presented to perform all transportation requirements with the least number of vehicles by improving initial vehicle routing planning constructed by greedy method. It is found that ASA algorithm has an excellent global searching ability through various experiments in comparison with existing methods.

In code-division multiple-access (CDMA) systems with soft handoff, mobile station (MS) within soft handoff region can use multiple radio channels and receive their signals from multiple base stations (BSs) simultaneously. In this paper, the effects of soft handoff region ratio (SHRR) on reverse link of a CDMA cellular system are analytically investigated. In order to analyze the network performance and quality of service (QoS) perceived by users more realistically, both the soft capacity increasing factor and the traffic load variation affected by SHRR are jointly considered and a two-dimensional continuous time Markov chain (CTMC) model is built. In the numerical example, it is observed that the optimal guard channel exists according the variations of the traffic load and propagation conditions when the proper value of SHRR is determined.

The national product identifier(NPI) currently used in the national product asset management system does not accommodate ISO or EPC standards due to the limitation of tag memory. For this reason, we propose a new NPI which accommodates not only ISO item identification standards but also the memory capacity of ISO tags. First of all, memory structures of ISO/IEC 18000-6C and EPC tags are analyzed from the view point of product identifier structure. Second, ISO/IEC 15459 and EPC identification standards as item identifier structures for the product asset management are analyzed. Third, based on these analyses, the NPI used for the current RFID-based product asset management system is analyzed and its problems are presented. Finally, a new NPI structure is proposed suitable for ISO/IEC 18000-6C and ISO/IEC 15459.