• IE interfaces
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• v.7 no.2
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• pp.87-97
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• 1994

Many vehicle routing methods have been suggested, which minimize the routing distances of vehicles to reduce the total transportation cost. But the more considerations the method takes, the higher complexites are involved in a large number of practical situations. The purpose of this paper is to develop a vehicle distribution planning system using heuristic algorithms and simulation techniques for home electronics companies. The vehicle distribution planning system developed by this study involves such complicated and stochastic conditions as one depot, multiple nodes(demand points), multiple vehicle types, multiple order items, and other many restrictions for operating vehicles. The proposed system is compared with the nearest neighbor method of the current system in terms of total logistics cost and driving time. This heuristics algorithm and simulation based distribution planning system is efficient in computational complexity, and give improved solutions with respect to the cost as well as the time. This method constructs a route with a minimum number of vehicles for a given demand.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.26 no.12
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• pp.93-98
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• 2012

Economics of available alternatives in the transmission planning are evaluated by the investment cost, loss cost and congestion cost. Congestion/loss cost is calculated in many years and many load levels by unit commitment of generators, optimal dispatch, load flow, judgement about transmission congestion and re-dispatch to reduce the congestion. The greatest difficulties to introduce variable optimization techniques on the transmission planning is the convergence of load flow. In this paper, economics in the transmission planning are evaluated using DC load flow, and case study is conducted on the Korea power system by proposed congestion/loss calculation methods.

• Journal of the military operations research society of Korea
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• v.22 no.2
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• pp.182-199
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• 1996

Many vehicle routing methods have been suggested, which minimize the routing distances of vehicles to reduce the total transportation cost. But the more considerations the method takes, the higher complexites are involved in a large number of practical situations. The purpose of this paper is to develop a vehicle distribution planning system using heuristic algorithms and simulation techniques for home electronics companies. The vehicle distribution planning system developed by this study involve so complicated and stochastic conditions such as one depot, multiple nodes(demand points), multiple vehicle types, multiple order items, and other many restrictions for operating vehicles. The proposed system is compared with the nearest neighbor method and the savings method in terms of total logistics cost and driving time. This heuristic algorithm and simulation based distribution planning system is efficient in computational complexity, and give improved solutions with respect to the cost as well as the time. This method constructs a route with a minimum number of vehicles for a given demand.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.170-175
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• 2007

Recently, construction industry in Korea is considering of various approaches for improving productivity and thus enhancing the competitive capacity in the global market. To this end, Korean Ministry of Construction & Transportation has launched R&D project in the field of automation, information systems, high value-added techniques. Furthermore, a new era of cities such as U-city and Eco-city is coming due to the government strategy for developing the country. In the regards of methodological development and trends of construction projects stated above, conventional methods for managing the projects is not likely to guarantee the success. Especially, in the planning and maintenance phases of such large scale cities, a new paradigm should be introduced. We thought of it as 3D object based simulation system for city planning. This paper describes the concept of the system.

• International Journal of Naval Architecture and Ocean Engineering
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• v.1 no.2
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• pp.70-77
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• 2009

Today, many middle-sized shipbuilding companies in Korea are experiencing strong competition from shipbuilding companies in other nations. This competition is particularly affecting small- and middle-sized shipyards, rather than the major shipyards that have their own support systems and development capabilities. The acquisition of techniques that would enable maximization of production efficiency and minimization of the gap between planning and execution would increase the competitiveness of small- and middle-sized Korean shipyards. In this paper, research on a simulation-based support system for ship production management, which can be applied to the shipbuilding processes of middle-sized shipbuilding companies, is presented. The simulation research includes layout optimization, load balancing, work stage operation planning, block logistics, and integrated material management. Each item is integrated into a network system with a value chain that includes all shipbuilding processes.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2007.10b
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• pp.8-14
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• 2007

The Beijing Olympic Forest Park lies at the north end of the 2008 Olympic Plan, "Axis to Nature," and terminates the Olympic axis with a model ecosystem and scenic vistas. The park is a combination of urban green lung, ecological buffer, traditional Chinese park, Olympic park, native forest, and urban retreat. Chinese traditional park concepts, modern landscape architecture, and ecological techniques are merged into one project for the 29th Olympic Games and the citizens of Beijing.

• Industrial Engineering and Management Systems
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• v.11 no.1
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• pp.94-102
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• 2012

In this paper, an interactive planning and scheduling framework are proposed for optimising operations from pits to crushers in ore mining industry. Series of theoretical and practical operations research techniques are investigated to improve the overall efficiency of mining systems due to the facts that mining managers need to tackle optimisation problems within different horizons and with different levels of detail. Under this framework, mine design planning, mine production sequencing and mine transportation scheduling models are integrated and interacted within a whole optimisation system. The proposed integrated framework could be used by mining industry for reducing equipment costs, improving the production efficiency and maximising the net present value.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.11a
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• pp.1231-1232
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• 2003

This paper reports results of a recent survey of 184 Information Technology(IT) development practitioners and 90 User Interface (UI)/usability practitioners. This survey covered a broad range of issues including the respondents' profile, current development environment, usability and user-centered design (UCD) adoption issues in development, overall assessment of usability/UCD in Korea, and the most widely used methods and techniques. The results of this study are expected to provide an empirical basis for usability and UCD planning, training, adoption and execution in IT industry of Korea.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.05a
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• pp.36-42
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• 2001

This paper presents the operational planning systems of automated container terminals. The proposed system is composed of berth allocation module, yard planning module, resource allocation module, sequencing module, and simulation module. All the sub-modules except resource allocation module are built into integrated simulation model using simulation package AutoMod. Simulation experiments are performed according to the number of AGVs and AGV allocation policies.

• ETRI Journal
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• v.40 no.4
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• pp.471-482
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• 2018

This paper proposes the necessity of a walking period in footstep planning and details situations in which it should be considered. An optimization-based fast footstep planner that takes the walking period into consideration is also presented. This footstep planner comprises three stages. A binary search is first used to determine the walking period. The front stride, side stride, and walking direction are then determined using the modified rapidly-exploring random tree algorithm. Finally, particle swarm optimization (PSO) is performed to ensure feasibility without departing significantly from the results determined in the two stages. The parameters determined in the previous two stages are optimized together through the PSO. Fast footstep planning is essential for coping with dynamic obstacle environments; however, optimization techniques may require a large computation time. The two stages play an important role in limiting the search space in the PSO. This framework enables fast footstep planning without compromising on the benefits of a continuous optimization approach.