This essay talks about research of robust design for quality improvement of production procedure of Wet Etchant. It suggested the optimum design method in consideration of specific capability value that is the way to maximize the quality of product in the production system by using Daguchi parameter design method while finding factors affecting product quality with analysis of production system of product A from producer D. Also, it set long term of 6months as noise factor and let it to be the robust design that can find the optimum condition of control factor that is dull to the changes of each month, that is the change in noise factor. The control factor which affects the product quality is decided as combination method, temperature of raw material, combination time and as there are too many possibilities for combination methods, we performed 4 methods first based on previous research data then derived three ways with product that passed SPEC and set as the factor. As a result of application of optimum production procedure suggested in this essay to the actual production process with its standardization, there was a effect of drop of more than 10particles in comparison to the particle number of previous product and also it brought the effect that resulted the stable number of particle of under 30 that is what the client company suggested.

In the previous study, the construction guide line of IT infra-structure for a u-City was introduced. However, it is only concentrated on the components and construction procedure for provider-oriented and technology-oriented sensor networks. In this paper the architecture and building process of demander-oriented sensor networks for sustainable u-City service are proposed. In the paper it is described (1) the enhancement methods of the procedure that can be flexibly constructed according to the scale of the project, (2) the methods that can improve the structure from the wireless sensor network such as RFID/USN to the hybrid sensor network, and (3) the consideration factors for providing the sustainable u-City service.

This study was carried out to investigate the performance of individual sewage treatment facilities with MBR(membrane bioreactor). After ratio of influent distribution of aerobic reactor to anoxic reactor from 4 : 6 to 7 : 3, the effluent quality is improved 5.3 mg/L as BOD, 3.8 mg/L as SS, 5.6 mg/L as T-N, and 1.6 mg/L as T-P, respectively. The removal efficiency rate of effluent increased upto 98% as BOD, 99% as SS 94%, as T-N as 93% and T-P, respectively. To maintain SS concentration of the effluent less than 1 mg/L, the washing and differential pressure of membrane management were required, the wasted activated sludge periodically discard to the sludge storage tank in order to meet standard criteria. The capacity of this individual facilities was overestimated, when low loading occur, an alternative is considered

The advanced planning and scheduling(APS) is an well known enterprise information system that provides optimal production schedules and supports to complete production on time by solving the complex scheduling problems including capacity and due dates. In

This study looks at a company which introduced SAP program, one type of ERP systems, and how the firm copes with the problems which happen in business process. The research tried to solve the problem by IDEAL method of process software improvement methodo

The paper proposes the misuse types of statistical quality tools according to the kind of data and the number of population in DMAIC process of six sigma. The result presented in this paper can be extended to the QC story 15 steps of QC circle. The study also provides the improvement methods about control chart, measurement system analysis, statistical difference, and practical equivalence.

Today, many companies will be isolated in competition if they do not have competitive power to overcome quick change and big crisis of market. Nowadays, globally high-grade companies have done their best for increasing their competitive power through a many kinds of methods in keen competition for making of pacesetting position. This study focuses on distribution with the domains like capacity, layout, amount of location, assignment of product, operation procedure and operation rule in order to improve these domains, we make a further application of eight analysis ways based on DMAIC method for improving operation of processes of distribution center as the third profit source. The purpose of this study is to seek an approach that can easily adopt of Lean Six Sigma in operational management of distribution center by a kind of data, analysis method and template.

Silicon carbide (SiC) is a promising material for power device applications due to its wide band gap(3.26 eV for 4H-SiC), high critical electric field and excellent thermal conductivity. The Schottky barrier diodeis the representative high-power device that is currently available commercially. A field plate edge-terminated4H-SiC was fabricated using a lift-off process for opening the Schottky contacts. In this case, Ni/Ti dual-metalcontacts were unintentionally formed at the edge of the Schottky contacts and resulted in the degradation ofthe electrical properties of the diodes. The breakdown voltage and Schottky barrier height (SBH, ΦB) was 107V and 0.67eV, respectively. To form homogeneous single-metal Ni/4H-SiC Schottky contacts, a deposition andetching method was employed, and the electrical properties of the diodes were improved. The modified SBDsshowed enhanced electrical properties, as witnessed by a breakdown voltage of 635V, a Schottky barrier heightof ΦB=1.48eV, an ideality factor of n=1.04 (close to one), a forward voltage drop of VF=1.6V, a specific onresistance of Ron=2.1mΩ-cm2 and a power loss of PL=79.6Wcm-2.

This study suggest a way to improve duty process of KTX(Korea Train Express) high-speed train driver. A new operating system which based on safety was introduced to operate high-speed train which travel above 300km/h on the high-speed railroad but below 200km/h on the general railroad. There were some studies on the operation of high-speed train which travel on the high-speed railroad and on the general railroad with safety. However they overlooked the elements of human errors. The duty-load of KTX train driver's 14 basic operation processes was measured using NASA-TLX and found four processes with high duty-load. In this paper, critical tasks of the high duty-load processes are determined using a questionnaire. Some suggestions which include the improvement of facilities, operating system and operating skill are proposed to lighten duty-load of the critical tasks. The validity of the proposed new task processes is demonstrated by making question to KTX train driver. To use this results cost-benefit analysis, hazards analysis etc. should be performed additionally.

This study was various sensitive to a customer requirement and sensitive to the market environment of cosmetics with the manufacture company the low. Consequently we arrange the making line properly and are there even though we make a productivity enhance with the personnel expenses reduction to the quality enhance. We do the supplementation with existing U-line the defect of Cell-line of the making method. We try we substitute and to present the improvement direction to apply at the characteristic of the making company so that we are soft.

This study deals with the improvement of production process on a flow production system with the consideration of six sigma. We analyze the production process and survey the important factors of improvement of productivity. Using a six sigma, we find strategic point and suggest a reformation of production process. We applied a simulation technique to simulate the production line proposed by the result of the Six sigma. With the result of the simulation, this study analyzes the propriety of production line and proposes the alternatives of new production process.

This study deals with the improvement of production process on a flow production system with the consideration of six sigma. We analyze the production process and survey the important factors of improvement of productivity. Using a six sigma, we find strategic point and suggest a reformation of production process. We applied a simulation technique to simulate the production line proposed by the result of the Six sigma. With the result of the simulation, this study analyzes the propriety of production line and proposes the alternatives of new production process.

In most recent years, the business competition has spreads over all fields of corporations and their management area regardless of time and place, which makes the survival environment of each enterprise fiercer. In order to secure a high position in the competitive market, the various firms has implemented many methods related to price, quality, and service efficiency. However, the implementation with only low price or high quality might be helpless to hold a high position in modem market. Moreover more attention should be paid to the internal business processes of an organization. Therefore, a new and different method should be searched or developed in order to win the competitive power among other enterprises. This research will focus on the improvement of the business processes within the non-manufacturing industry by applying Lean Six Sigma methodology. DMAIC method will be applied to improve the inbound and outbound logistics processes, manage the inbound and outbound vehicles, and control the receiving and shipping activities.

본 연구의 목적은 한국건축프로젝트의 경영적 특성을 파악하는데 있다. 본문은 건축프로젝트의 주요 세 요소인 디자인, 건설, 유지관리의 프로세스 질 관리에 영향을 미치는 요소들을 조사한다. 설문조사는 건축관련 대학원생 및 교수, 설계자, 시공자들의 건축프로젝트에 있어서 프로세스 질 관리에 대한 상이한 시각을 보여주고 있다. 이러한 요소들을 분석함으로써 현재 국내의 질 관리 시스템과 프로그램 내용을 교정하고 개선하는데 도움이 될 것이다. 프로세스 질 관리에 있어서 여러 요소 중 설계자와의 협조가 가장 주요 요소로써 부각되었다.

Numerous studies have suggested that the traditional project management tools do not adequately support the coordination efforts required to successfully deliver projects. because they were not developed to control uncertainty which is one of the characteristic of construction project. In traditional construction process control, supervisor usually measures the quantity of production for the project schedule. Flow production has suggested that better productivity, like that labor and cost performance can be achieved by reducing work flows variability. This research has suggested that 1) the circular concept of productivity with work flows variation. 2) the indicators that quantitatively measure work flows variation using productivity data which is obtained from the document of construction field. 3) measurement of productivity-based work flows variation for analyzing correlation with variation of productivity and verifies.

It is necessary to deal with the process capability index carefully because it has been developed with certain assumptions. Companies make a decision on processes through the results obtained by using and treating data extracted from the processes. However if they have incorrect or wrong results, they cannot lead to proper outputs but also bring to loss of the competition in quality. Therefore, this study will show a method to analysis Cp (process capability ; CP) and an idea of mass-production on Pp (process performance ; PP) based on the Sigma Estimate which is one of the uncertainty in the process capability index and makes a lot of error. To apply this method, it is essential to understand and to analyze the processes exactly. Especially, it is required to establish the more accurate process capability index that can quickly and properly respond to changes on processes to recognize the small changes on the process which lies in specification in mass production system that the continual monitoring of quality managers is required.

VMI(Vendor Managed Inventory)가 사회적인 관심사로 부각되고, 전 부분으로 확산 되고 있음에도 불구하고 VMI의 도입적용에 관한 연구 및 문헌자료는 찾아보기 힘들 정도로 부족한 실정이다. VMI에 관한 연구의 대부분이 재고기법에 관한 응용연구에 편중되고, 공급체인상의 하부기능으로 일부 언급되었을 뿐, 공급체인상의 프로세스를 중심으로 VMI의 실증연구가 이루어진 자료는 전무한 실정이다. 이러한 상황에서 VMI의 도입 구축 프로젝트추진을 계기로 VMI의 적용에 따른 물류 프로세스 개선에 관한 연구를 하였다.

This paper uses a data mining methodologies to improve and predict cause of defect process variables in manufacturing process. Traditional statistical process control (SPC) techniques of control charting are not applicable in many process industries because it is difficult to analyze the cause of many process variables. The paper suggests that data mining methodologies useful when sequence rule, SVM (classification) methods are find out cause of defect process variables and SVM (prediction) methods used to predict process variables in manufacturing process. Therefore, it is allowing improved control in manufacturing process.