• Korean Institute of Interior Design Journal
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• v.23 no.3
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• pp.231-238
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• 2014

Recently, many people can experience the virtual space by smartphone, and they use many games. In particular, this change has great implications in the collaborative and communicative planning paradigm, which is residents' participation and agreement becoming important in community making and urban design. This study analyze the case of the five virtual space games about community making and urban design, and examine the related regal system. Game users can construct roads, houses, buildings and facilities in the virtual city. Then, they create profit, and promote the growth of virtual city. In these games, construction elements are classified residential, commercial, industrial, parks, green spaces, public building, and roads. But these elements does not identified clearly, and they mixed. By analyzing of related regal system, these games focus on the individual buildings, spaces, and facilities rather than considering the terms of urban planning. To complement the virtual space game with the aspects of urban planning, these games can encourage the participation capability and enhance the communication skills of citizens.

• Journal of Information Technology Applications and Management
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• v.12 no.1
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• pp.91-109
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• 2005

The reason why modern companies adopt cutting-edge technologies aggressively is mainly due to maintain the competitiveness in this cut-throat business environment. One of the most important technology factors to maintain the competitiveness in this modern e-business era is how to adopt and apply information technology(IT). More and more companies are trying to implement their management strategies by applying IT, and therefore it is now important to understand IT strategy. Many of leading-edge companies believe that they need a structured and systematic approach, called ISP (Information Strategy Planning), to secure competitive IT capability, and heavily invest their resources to achieve the excellence in IT. However, eventual effects from those investments are not always proportional since every investment has its own investment parameters and objectives. In this research, we tried to develop a systematic model to verify the relation between the business competitiveness and ISP. First, in order to include the factor 'ISP', we modified the models suggested by past research results, and then analyzed the influences from IT investments and quality of ISP on the IT excellence of businesses. To prove the validity of the developed model, several sets of surveys were performed for 66 companies in various industries including electronics, manufacturing, finance, and service. The result of the research has shown that the quality of ISP impacts more on a corporate's business competitiveness, but none on business output.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.2
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• pp.39-60
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• 1995

In this paper, an integration of stochastic dynamic programming (SDP), integer goal programming (IGP) and analytic hierarchy process (AHP) is proposed to handle multiobjective-multicriteria sequential decision making problems under uncertainty inherent in R & D investment planning. SDP has its capability to handle problems which are sequential and stochastic. In the SDP model, the probabilities of the funding levels in any time period are generated using a subjective model which employs functional relationships among interrelated parameters, scenarios of future budget availability and subjective inputs elicited from a group of decision makers. The SDP model primarily yields an optimal investment planning policy considering the possibility that actual funding received may be less than anticipated one and thus the projects being selected under the anticipated budget would be interrupted. IGP is used to handle the multiobjective issues such as tradoff between economic benefit and technology accumulation level. Other managerial concerns related to the determination of the optimal project portifolio within each stage of the SDP model. including project selection, project scheduling and annual budget allocation are also determined by the IGP. AHP is proposed for generating scenario-based transformation probabilities under budgetary uncertainty and for quantifying the environmental risk to be considered.

• Communications for Statistical Applications and Methods
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• v.18 no.3
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• pp.377-389
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• 2011

A higher quality level is generally perceived by customers as improved performance by assigning a correspondingly higher satisfaction score. The third generation index $C_{pmk}$ is more powerful than two useful indices $C_p$ and $C_{pk}$ that have been widely used in six sigma industries to assess process performance. In actual manufacturing industries, process capability analysis often entails characterizing or assessing processes or products based on more than one engineering specification or quality characteristic. Since these characteristics are related, it is a risky undertaking to represent the variation of even a univariate characteristic by a single index. Therefore, the desirability of using vector-valued process capability index(PCI) arises quite naturally. In this paper, we consider more powerful vector-valued process capability index $C_{pmk}$ = ($C_{pmkx}$, $C_{pmky}$)$^t$ that consider the univariate process capability index $C_{pmk}$. First, we examine the process capability index $C_{pmk}$ and plug-in estimator $\hat{C}_{pmk}$. In addition, we derive its asymptotic distribution and variance-covariance matrix $V_{pmk}$ for the vector valued process capability index $C_{pmk}$. Under the assumption of bivariate normal distribution, we study asymptotic confidence regions of our vector-valued process capability index $C_{pmk}$ = ($C_{pmkx}$, $C_{pmky}$)$^t$.

• Korea Journal of Hospital Management
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• v.1 no.1
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• pp.203-247
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• 1996

This article reviews the art and practice of strategic management process in hospitals today, in order to help hospital administrators for managing strategic management system in their hospitals. The strategic management process model in this article is based on an integrated approach combining traditional environmental model with resource-based model of strategy. The components of the model are consisted of five steps: (1)formulating objectives, strategic assessment by external environmental analysis, internal capability analysis, TOWS analysis and marketing audit, (3)strategy choice considering context and criteria of choice, (4)program implementation through operational planning, resource allocation, and conversion, and (5)control by monitoring and evaluating hospital outputs. This article deals with many aspects of issues inherent in every step on this strategic management process.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.468-476
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• 2001

The ROK TRANSCOM is trying to establish a concrete wartime sealift operation plan. But there are many problems to be solved for setting up the plan. The most serious problem is to procure war materiel to be shipped in U.S.A and next one is to determine the number of sealift assets and to allocate them. The process of sealift operation can be described as follows. Before the order of vessel mobilization, all vessels appointed for activation would be scattered in worldwide in the state of Beaded or unloaded. After the order of vessel mobilization, vessels would go to SPGE(seaport of embarkation) to load war materiel. Some loaded ships should offload the commercial cargo to the near port as soon as they are activated, before they would go to SPOE. All vessels would load procured materiel in SPOE and then go to SPOD(seaport of debarkation). They would offload war materiel in SPOD and then go back to SPOE to load war materiel again. We will simulate this process using ARENA(1), evaluate the sealift capability of ROK and find omit problems of the sealift plan. This model ultimately evaluates the sealift capability and provides planners with critical information far establishing and correcting the plan. This study can also provide military planners with a flexible and accessible decision support tool to provide advance planning under a variety of conditions on the sealift capability. The military planner is expected to make use of this model as a standard for establishing effective and concrete sealift operation in the near future. We can conclude how procurement capability significantly affects the result of sealift operation through this model. We could decide the appropriate levee of sealift asset such as the number of vessels and the number of available berth. So we could allocate effectively the resources for completing the sealift operation within the TGT(Target) time.

• Journal of Construction Engineering and Project Management
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• v.5 no.2
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• pp.11-15
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• 2015

The Last PlannerSystem (LPS) has been implemented on construction projects to increase work flow reliability, a precondition for project performance againstproductivity and progress targets. The LPS encompasses four tiers of planning processes:master scheduling, phase scheduling, lookahead planning, and commitment / weeklywork planning. This research highlights deficiencies in the current implementation of LPS including poor lookahead planning which results in poor linkage between weeklywork plans and the master schedule. This poor linkage undetermines the ability of theweekly work planning process to select for execution tasks that are critical to projectsuccess. As a result, percent plan complete (PPC) becomes a weak indicator of project progress. The purpose of this research is to improve lookahead planning (the bridgebetween weekly work planning and master scheduling), improve PPC, and improve theselection of tasks that are critical to project success by increasing the link betweenShould, Can, Will, and Did (components of the LPS), thereby rendering PPC a betterindicator of project progress. The research employs the case study research method to describe deficiencies inthe current implementation of the LPS and suggest guidelines for a better application ofLPS in general and lookahead planning in particular. It then introduces an analyticalsimulation model to analyze the lookahead planning process. This is done by examining the impact on PPC of increasing two lookahead planning performance metrics: tasksanticipated (TA) and tasks made ready (TMR). Finally, the research investigates theimportance of the lookahead planning functions: identification and removal ofconstraints, task breakdown, and operations design.The research findings confirm the positive impact of improving lookaheadplanning (i.e., TA and TMR) on PPC. It also recognizes the need to perform lookaheadplanning differently for three types of work involving different levels of uncertainty:stable work, medium uncertainty work, and highly emergent work.The research confirms the LPS rules for practice and specifically the need to planin greater detail as time gets closer to performing the work. It highlights the role of LPSas a production system that incorporates deliberate planning (predetermined andoptimized) and situated planning (flexible and adaptive). Finally, the research presents recommendations for production planningimprovements in three areas: process related, (suggesting guidelines for practice),technical, (highlighting issues with current software programs and advocating theinclusion of collaborative planning capability), and organizational improvements(suggesting transitional steps when applying the LPS).

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.1
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• pp.79-85
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• 2015

Modeling and simulation has widely been used in the weapon systems acquisition, the military training, and the warfighting experimentation. A study of the warfighting experimentation had been relatively scarce in comparison to other fields (acquisition, training). The main reasons are 1) reliability of simulation model isn't sufficient and 2) collaboration between professional groups is too difficult. To solve this problem, the application framework of warfighting experimentation for military operations was proposed. And through the framework, the case study about sea fight was fulfilled. This framework provides connectivity between warfighting experimentation and military operations planning procedure. With improved reliability, active application of warfighting experimentation could contribute to fighting capability.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.223-244
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• 2009

Defense R&D is an essential investment for the national security. Recently our nation has also begun to initiate a number of defense R&D projects. As a lot of fund and resources are allocated to these projects, we need to identify which projects to initiate and then how to manage these projects well. Though there have been a number of studies on R&D projects in commercial sector, there are only a few studies in defense R&D sector. Moreover, these existing defense R&D studies mainly deal with the former issues, which are occurring at the stage of project planing. We are more concerned with project management issues, such as how to manage projects that had already been evaluated to undertake at the planning stage. Specifically our study aims to identify project management factors leading to the success of defense R&D projects. Results of the empirical analysis indicate that management support, user-driven requirements management, and project planning capability are key elements for project performance.

• IE interfaces
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• v.21 no.3
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• pp.343-353
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• 2008

Vendor-managed inventory(VMI) is a supply chain strategy to improve the inventory turnover and customer service in supply chain management. Unfortunately, many VMI programs fail because they simply transfer the transactional aspects of placing replenishment orders from customer to vendor. In fact, such VMI programs often degrade supply chain performance because vendors lack capability to plan the VMI operations effectively in an integrated way under the dynamic, complex, and stochastic VMI supply chain environment. This paper presents a decision support system, termed DSSV, for VMI in the retail supply chain. DSSV supports the market forecasting, vendor's production planning, retailer's inventory replenishment planning, vehicle routing, determination of the system operating parameter values, retailer's purchase price decision, and what-if analysis. The potential benefits of DSSV include the provision of guidance, solution, and simulation environment for enterprises to reduce risks for their VMI supply chain operations.