It is very important for a country in view of establishing national competition to make strategies for expanding technology development and generating industry technology manpower through cooperative projects between industry and universities based on their confidence and agreements. The preparation for industry technology manpower with creativity and specialty is the energy necessary at this moment towards Gross National Product 20,000 dollars. This research considers diverse cooperative projects between industry and universities and policies of industry technology manpower.
The purpose of study is finding out priority objects to standardize of a Logistics Information System (LIS) and indicating duties of government and companies. Fundamentally we desire the study to make the good use of basic data for building a national unification of logistics system. First we researched into standardization of LIS, looking for IT(Information Technology) concerned with LIS. We sought eleven assessment indexes out. By using AHP (Analytic Hierarchy Process), analyzing technique, we looked for a priority object to these.
To build a national unification of logistics system is impossible by only corporations' efforts. It must needs lots of collaborative efforts between central and local government. By means of whole study we can overcome great problem is making a priority of standardization to build a national unification of logistics system. Therefore we expect many companies to build LIS easily and also wish to progress quickly on logistics tasks.
The warehouse is close to facility of life because the type and function of warehouse have been variety. So we make good use of warehouse. However, many troubles have occurred warehouse service because of lack of service standard. Then the customer's lose has increasing cause by service capacity lack of an enterpriser.
It is necessary that considering a counter plan for this problem. In this study, we develop warehouse service standard, so that customers lose has decreasing.
Single PPM Quality Innovation Movement is originally developed quality program in Korea for supplier"s quality level-up since 1995. The quality target is below the 10ppm(parts per million) in outgoing quality and delivered goods plus field claim. Recently 1,053 companies is received Single PPM Quality Certification from government. This quality program is to realized the anticipated results not only quality level"s increasing, but also company"s confidence, competitiveness. We were able to obtain participations of 75 questionnaire, and derived statistics by means of SPSS/PC version 10.0. In this study, we find the bottleneck factor for promotion and upgrade S-PPM, and suggest a way out of difficulties.
It is known that Voronoi diagrams have many important applications in science and engineering as a useful tool for analyzing spatial properties among geometric objects. In this paper, we propose an algorithm to construct Euclidean Voronoi diagram for spheres in 3-dimensional space. Starting from the ordinary Voronoi diagram of centers of spheres, the proposed region-expansion algorithm constructs the desired diagram by expanding Voronoi regions for one sphere after another via a series of topology operations. While the worst-case time complexity is O(n3 log n) for the whole diagram, its expected time complexity can be much smaller.
The purpose of this study is to analyse injuries of consumer product and to propose an alternative standardization for the product safety based on results of the analysis related with consumer injury. Firstly, We categorized hazard factors according to industrial characteristics referred to current injury information in Korea. And secondly, we decided consumer injury index(CII) according to the results of current consumer injury. The consumer injury index is the concept of risky level, which was decided by probability and severity of injury. Lastly, we developed an alternative standardization for the product safety considering consumer injury index.
Service and administration departments in several companies adopt a program called Six Sigma, in order to make fundamental changes in Korea and abroad. This paper is concerned with a six sigma DMAIC road map for service and white-color management process. This road map consists of 13 steps which considers the employee's majors and characteristics of the business process, For commercial quality, the proposed road map were actually applied and successfully fulfilled to H company.
This study proposes a new approach which combines Data Envelopment Analysis (DEA) and the Analytic Hierarchy Process (AHP) techniques to effectively evaluate Decision Making Units (DMUs). While DEA evaluates a quantitative data set, employs linear programming to obtain input and output weights and ranks the performance of DMUs, AHP evaluates the qualitative data retrieved from expert opinions and other managerial information in specifying weights. The objective of this research is to design a decision support process for managers to incorporate positive aspects of DEA's absolute numerical evaluations and AHP's human preference structure values. It is believed that a pragmatic manager will be more receptive to the results that include subjective opinions incorporated into the evaluation of the efficiency of each DMU efficiency when the AHP and DEA are combined simultaneously. The WPDEA method provides better discrimination than the DEA method by reducing the number of efficient units.
This paper presents a data-mining aided heuristic algorithm development. The developed algorithm includes three steps. The steps are a uniform coverage selection, development of feature functions and clustering, and a decision tree making. The developed algorithm is employed in designing an optimal multi-station fixture layout. The objective is to minimize the sensitivity function subject to geometric constraints. Its benefit is presented by a comparison with currently available optimization methods.
최근 몇 년간 인터넷 쇼핑몰은 급격한 성장세를 보이며 안정적 유통채널로 자리잡게 되었다. 인터넷 쇼핑몰의 규모가 커지면서 고객의 수는 기하급수적으로 증가하게 되었고 수천 또는 수만의 고객을 보유하는 것이 일반적인 현상이 되었다. 그러나, 인터넷 쇼핑몰의 효율적인 운영과 수익성 확보를 위해서는 현재 고객의 구성이 적절한지 전략적 측면에서 접근하여 평가하는 것이 요구된다. 즉, 기업이 현재 수행하고 있는 고객 전략이 적절한지 혹은 부적절한지에 관한 평가는 매우 중요하다고 할 수 있다. 이러한 사업적 중요성에도 불구하고 인터넷 쇼핑몰에 있어서 고객 구성 평가가 제대로 이루어지지 않고 있으며, 관련 연구도 미흡한 실정이다.
본 연구는 인터넷 쇼핑몰의 고객 구성이 적절한지 평가하도록 지원하는 고객구성평가 프레임웍을 제안한다. 제안하는 고객구성평가 프레임웍은 데이터베이스에 있는 주문 데이터와 고객 데이터 등을 기반으로 분석용 데이터를 구성한 후, 고객유지성, 고객수익성, 고객확보성, 고객전환성의 4가지 요인을 설정하고, 이하 22개의 측정 지표들을 도출함으로써, 이들을 종합한 고객구성평가 스코어카드를 구성하였다. 본 연구는 제안한 프레임웍을 국내 대표적인 커뮤니티 기반쇼핑몰에 적용하였으며, 평가 결과는 해당 쇼핑몰의 효율적인 운영을 위한 중요한 전략정보로 활용될 것으로 기대된다.
Given a protein, it is often necessary to study its geometric and physicochemical properties for studying its structure and predicting funtions of a protein. In this case, a connolly surface of a protein plays important roles for these purpose. A protein consists of a set of amino acids and a set of atoms comprise an amino acide. Since an atom can be represented by a hard 3D sphere in van der Waals model, a protein is usually modeled as a set of 3D spheres. In this paper, we present the algorithm for computing a connolly surface using Euclidean Voronoi diagram atoms of a protein. The algorithm initially locates the exterior aotms of a protein where connolly surface patches exist and computes the patches by tracking their boundary curves. Since a Euclidean Voronoi diagram is uniquely defined independent of probe radius different from other geometric structures, the connolly surfaces defined by probes of different radii can be computed without re-computing the Euclidean Voronoi diagram.
시뮬레이션은 분석적인 방법으로 해결할 수 없거나 표현하기가 어려운 문제를 현실 세계와 최대한 비슷하게 컴퓨터상에서 모델링하고, 결정 변수에 대한 시뮬레이션을 수행하여 수행도 결과를 주는 방법이다. 그러나 시뮬레이션은 시스템 수행도를 최적화할 수 있는 결정 변수의 값을 찾아주지 못하는 단점이 있다. 이러한 시뮬레이션 기법의 문제점을 해결하고자 최적화 기법을 시뮬레이션에 적용하여 사용하는 것이 일반적인 방법이다. 그러므로 본 논문에서는 최적해를 탐색시에 개체군을 사용하기 때문에 전역적 해를 찾을 확률이 다른 기법들보다 높은 유전자 알고리즘을 시뮬레이션에 적용시킨다.
본 연구에서는 제약 조건을 갖는 문제에서는 이진 코딩 유전자 알고리즘 보다 효과적이라고 알려진 실수 코딩 유전자 알고리즘을 생산 시스템의 시뮬레이션 최적화에 적용한다. 실수 코딩 유전자 알고리즘의 적용시에 재생산 연산자는 교체를 수반한 잔여확률분포 선택 기법을 사용하고, 교배 연산자는 단순 교배 기법을 사용한다. 돌연변이 연산자는 세대에 따라 탐색 영역을 조절해 줄 수 있는 동적 돌연변이 기법을 사용한다.
2차원 평면에 원형 장애물들이 주어져 있을 때, 주어진 시작점과 끝점을 잇는 최단 경로를 구하는 문제를 다룬다. 이 때, 원형 장애물들은 서로 교차하지 않으며, 반지름이 각기 다르다고 가정한다. 최단 경로를 효율적으로 구하기 위해서, 본 논문에서는 두 가지의 필터를 제안한다. 첫 번째는 타원 필터이고, 두 번째는 컨벡스-헐 필터이다. 장애물들을 피하면서 주어진 두 점을 연결하는 최단 경로를 구하기 위해서는, 주어진 2차원 공간을 탐색하여야 하는데, 위의 두 필터는 최단 경로와 만나지 않게 되는 원형 장애물들을 미리 걸러냄으로써, 탐색 공간을 효율적으로 줄여준다. 또한 보로노이 다이어그램을 이용하면, 장애물들 간의 인접 정보를 효과적으로 활용할 수 있다. 필터링을 한 후에는 다익스트라 알고리즘을 이용하여 최단 거리를 구한다.
This study presents the new dispatching rules of job shop scheduling with unbalanced machine workloads to decrease mean flow time and mean tardiness. The proposed dispatching rules consider the information related to work remaining, modified job due dates, modified operation due dates and machine workload. The performance of the new dispatching rules is compared and analyzed with the existing rules through the computer simulation at different levels of workload imbalanced. The results can be useful to the researchers and practitioners of job shop scheduling with unbalanced machine workloads.
The need for accurate yield prediction is increasing for estimating productivity and production costs to secure high revenues in the semiconductor industry. Corresponding to this end, we introduce new spatial modeling approaches for spatially clustered defects on an integrated circuit (IC) wafer map. We use spatial location of an IC chip on the wafer as a covariate on corresponding defects count listed in a wafer map. Analysis results indicate that yield prediction can be greatly improved by capturing spatial features of defects. Tyagi and Bayoumi's (1994) wafer map data are used to illustrate the procedure.
Recently we developed the eZ Six Sigma software for education of Hanyang University in 2004. This eZ Six Sigma software focused on educational parts. In this paper, we present introduction and Contents of this Software. This software will be helpful to improvement of Six Sigma educational environment.
Maintaining superior productivity and quality in LCD requires enhancing competitiveness of partners or suppliers, such as PBA, BLU, or Mold Frame. BLU is one of the most important parts in LCD, however manufacturing environment is tedious and labor intensive. In this paper, we propose simulation modeling for BLU production process. We also investigate optimal process in terms of line balancing and conveyor characteristics.
In this paper, we consider the problem of regrouping a number of service sites into a smaller number of service sites called centers. Each service site is represented as a point in the plane and has an associated value of service demand. We aim to group the sites so that each group has the balanced service demand and the sum of distances from the sites in the group to their corresponding center is minimized.
To solve this problem, we propose a hybrid genetic algorithm that is combined with Voronoi diagrams. We provide a variety of experimental results by changing the weights of the two factors: service demands and distances. Our hybrid algorithm finds good approximate solutions in a shorter computation time in comparison with optimal solution by integer programming.
Greenberg(1990) suggested that organizational justice research may potentially explain many organizational behavior outcome variables. One example of nontraditional job behavior is service quality, for it is part of the spontaneous and innovative behaviors noted by Katz(1964).
The first purpose of this research is to test the effects of organizational justice on service quality, and the second purpose is to test the moderating effects of sex and tenure on the relationships between organizational justice and service quality.
According to statistical analysis, only interactional justice had an impact on service quality. Also the results of moderating regression analysis showed that short term employees were more sensitive to distributive justice than long term employees. This result means short term employees are more interested in incentive system than long term employees.
Some distributions have been used for diagnosing the lead time demand distribution in inventory system. In this paper, we describe the negative binomial distribution as a suitable demand distribution for a specific retail inventory management application. We here assume that customer order sizes are described by the Poisson distribution with the random parameter following a gamma distribution. This implies in turn that the negative binomial distribution is obtained by mixing the mean of the Poisson distribution with a gamma distribution. The purpose of this paper is to give an interpretation of the negative binomial demand process by considering the sources of variability in the unknown Poisson parameter. Such variability comes from the unknown demand rate and the unknown lead time interval.