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곽한성 ( Han Seong Gwak ),이창용 ( Chang Yong Yi ),이동은 ( Dong Eun Lee ) 한국건축시공학회 2014 한국건축시공학회 학술발표대회 논문집 Vol.14 No.1
Planning earthmoving haul-route must be preceded for appropriate equipment fleet assignment. However, traditional haul-route planning methods have limitations relative to practical usage because multiple variables (e.g., grade/rolling resistance, length, equipment``s weight etc.) should be considered at a time. Genetic algorithm(GA) was introduced to improve these traditional methods. However, GA based haul-route planning method still remains in inefficiency relative to computation performance. This study presents a new haul-route searching method that computes an optimal haul-route using GA. The system prototype is developed by using MATLAB(ver. 2008b). The system identifies an optimal haul-route by considering equipment type, soil type, and soil condition.
곽한성(Gwak, Han-Seong),배상희(Bea, Sang-Hee),이동은(Lee, Dong-Eun) 대한건축학회 2018 大韓建築學會論文集 : 構造系 Vol.34 No.2
Resource leveling minimizes resource fluctuations by deferring the earliest start times (ESTs) of non-critical activities within their corresponding total float. The intentional float-consumption for resource leveling purpose reduces the schedule delay contingency. This paper presents a method called Genetic Algorithm based Resource Leveling (GARL) that minimizes resource fluctuations and float-consumption impact over project duration. It identifies activities that are less sensitive to float-consumption and performs resource leveling using those activities. The study is of value to project scheduler because GARL identifies the set of activities to be deferred and the number of shift day(s) of each and every activities in the set within its total float expeditiously. It contributes to establish a baseline schedule which implements an optimal resource leveling plan. A case study is presented to verify the validity and usability of the method. It was confirmed that GARL satisfies the project duration constraint by considering resource fluctuations and float-consumption over project duration.
곽한성(Gwak, Han-Seong),손창백(Son, Chang-Back),이동은(Lee, Dong-Eun) 대한건축학회 2012 大韓建築學會論文集 : 構造系 Vol.28 No.10
Task based modeling is essential in a construction operation simulation modeling. It allows dealing with local variables or delay factors that affect productivity and improves the reusability of existing operation models. An operation model can secure reality only if it reflects the real construction processes by effectively dealing with zoning issue. However, system users have some difficulties in modeling a construction operation that is consisted of several processes having different production units. Zoning is a major modeling issue when the task based modeling method is implemented using the existing discrete event simulation systems. This paper highlights the difficulty and presents a new method that complements the zoning issues attributed to different production units. The method is described in detail by presenting the flow of entities. It is confirmed that the zoning method effectively deals with the unbalance of production units between processes and facilitates to model an operation model having processes with different production units. The "Zoning module" contributes to increasing accuracy of simulation result.
곽한성 ( Gwak Han-seong ),최병윤 ( Choi Byung-youn ),이창용 ( Yi Chang-yong ),이동은 ( Lee Dong-eun ) 한국건축시공학회 2018 한국건축시공학회 학술발표대회 논문집 Vol.18 No.1
The accuracy of contingency estimation plays an important role for dealing with the uncertainty of the financial success of construction project. Its’ estimation may be used for various purposes such as schedule control, emergency resolve, and quality expense, etc. This paper presents a contingency estimation method which is schedule control specific. The method 1) implements stochastic EVMS, 2) detects a specific timing for schedule compression, 3) identifies an optimal strategy for shortening planned schedule, 4) finds a probability density function (PDF) of project cost overrun, and 5) estimates the optimal contingency cost based on the level of confidence. The method facilitates expeditious decisions involved in project budgeting. The validity of the method is confirmed by performing test case.
추계적 공동주택 장기수선충당금 산출 및 분석 방법론 개발
곽한성 ( Han Seong Gwak ),이동은 ( Dong Eun Lee ) 한국건축시공학회 2015 한국건축시공학회 학술발표대회 논문집 Vol.15 No.1
This paper presents a Stochastic Long-Term Maintenance Costs Estimating Method for the Apartment Housing (SLCE). A simulation approach is used for generating the stochastic long-term maintenance cost, and it is based on the defined variability in repair cycle of the individual maintenance elemental within the process. SLCE provides the probability distribution of the budget required to maintain the apartment housing. A case study is presented to demonstrate and to validate the system.
곽한성 ( Han Seong Gwak ),손창백 ( Chang Back Son ),이동은 ( Dong Eun Lee ) 한국건축시공학회 2012 한국건축시공학회 학술발표대회 논문집 Vol.12 No.2
Task based modeling is essential in a construction operation simulation modeling. It allows dealing with local variables or delay factors that affect productivity and improves the reusability of existing operation models. An operation model can secure reality only if it reflects the real construction processes by effectively dealing with zoning issue. However, system users have some difficulties in modeling a construction operation that is consisted of several processes having different production units. Zoning is a major modeling issue when the task based modeling method is implemented using the existing discrete event simulation systems. This paper highlights the difficulty and presents a new method that complements the zoning issues attributed to different production units. The method is described in detail by presenting the flow of entities. It is confirmed that the zoning method effectively deals with the unbalance of production units between processes and facilitates to model an operation model having processes with different production units. The Zoning module contributes to increasing accuracy of simulation result.
곽한성(Gwak, Han-Seong),이창용(Yi, Chang-Yong),이동은(Lee, Dong-Eun) 대한건축학회 2014 大韓建築學會論文集 : 構造系 Vol.30 No.3
Planning earthmoving haul-route must be preceded for appropriate equipment fleet assignment. However, traditional haul-route planning methods have limitations relative to practical usage because multiple variables (e.g., grade/rolling resistance, length, equipment"s weight etc.) should be considered at a time. Genetic algorithm(GA) was introduced to improve these traditional methods. However, GA based haul-route planning method still remains in inefficiency relative to computation performance. This study presents a new haul-route searching method that computes an optimal haul-route using GA. Sensitivity analysis is incorporated in to the system to facilitate finding optimal combination of GA parameters. In addition, simulation is also adopted to improve the reliability of GA experiment. The system prototype is developed by using MATLAB(ver. 2008b). The system identifies an optimal haul-route by considering equipment type, soil type, and soil condition. A case study is presented to demonstrate the system and to verify the validity of the system.