A new heuristic algorithm for the heterogeneous single container loading problem is proposed in this paper. This algorithm fills empty spaces with the homogeneous load-blocks of identically oriented boxes and splits residual space into three sub spaces starting with an empty container. An initial loading pattern is built by applying this approach recursively until all boxes are exhausted or no empty spaces are left. In order to generate alternative loading patterns, the load-blocks of pattern determining spaces are replaced with the alternatives that were generated on determining the load-blocks. An improvement algorithm compares these alternatives with the initial pattern to find improved one. Numerical experiments with 715 test cases show the good performance of this new algorithm, above all for problems with strongly heterogeneous boxes.
신제품의 개발에 있어서 고객이 기대하는 품질과 신뢰성을 보증하는 것은 특별히 중요한 사항이다. 제품의 신뢰성과 수명은 개발에서 최우선으로 고려해야 할 목표이며, 이를 위해 신뢰성공학의 응용기술은 신제품개발에 있어서 매우 중요한 역할을 한다.
본 연구의 목적은 신뢰성이론을 적용하여 제품의 개발단계에 있어서 신뢰성목표 설정에서 부터 예측, 검증, 그리고 분석에 이르는 실제적인 응용에 대한 총괄적인 사항들을 보여주는데 있다. 본 논문에서는 신뢰성과 유효수명에 대한 사양결정과 예측 및 분석에 응용할 수 있는 방법들이 설명되어 있으며, 이는 제품과 부품을 개발하기 위한 신뢰성프로그램을 설립하고 시행하기 위해 가장 적합한 접근방법을 보여주고 있다.
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.
This research is focused on the development of the performance measuring system for the supply chain. Although there are previous researches about this, they has the limit to measuring the performance. This is oriented that each measuring system deal with a certain level like strategic level, tactical level, or operational level of the supply chain. However, it is necessary to measure the performance in multiple levels collectively. A new performance measuring system using key performance indicators with integrating SCOR-Model(Supply Chain Operations Reference Model) with Balanced Scorecard(BSC) is proposed in this research. Since SCOR-Model and BSC are mainly dealt with strategic level and operational level, the proposed system can overcome the limit of previous researches. Then, this methodology is used to develop the real time performance measuring system.
As today's business environment becomes more globalized and distributed, the importance of collaboration is rapidly increasing. This paper presents a systematic approach to collaboration strategy planning. The framework suggests a Collaborative Process Map need to be identified. Then, Collaboration Maturity of each area is evaluated. Based on the Collaborative Process Map and Collaboration Maturity Evaluation, Collaboration Execution Plans are established. A case study of semiconductor industry is also provided.
Euclidean Voronoi diagram of spheres in 3D has not been explored as much as it deserves even though it has significant potential impacts on diverse applications in both science and engineering. In addition, studies on the data structure for its topology have not been reported yet. Presented in this paper is the topological representation for Euclidean Voronoi diagram of spheres which is represented as a cell structure as one of typical non-manifold models. The topological representation is a variation of radial edge data structure with a consideration on the topological characteristics of Euclidean Voronoi diagram of spheres distinguished from general non-manifold models and Euclidean Voronoi diagram of points. Various topological queries in the Voronoi diagram are also presented and analyzed.
It is highly recommended that companies should consider the organic complexes between variables and which new variable should be introduced. In addition, companies should determine to which extend they should respond to the diversification and complexity of consumers. In this regard, CLV (Customer Lifetime Vale) will be the main subject to be considered by companies in the future.
절삭가공은 금형제작 및 항공기 구조물 등 많은 산업분야에 이용되고 있으며, 최근 가공기술의 발달로 인하여 가공면의 후처리 공정을 최소화하려는 추세에 있다. 이러한 후처리공정을 최소화하기 위한 일환으로 밀링 가공에서의 가공면의 표면거칠기와 형상 정밀도 등이 점차 중요시 되고 있다.
본 연구에서는 절삭에 영향을 미치는 인자들을 선정하고 선정된 인자들의 수준을 선정하여 절삭실험한 후 분산분석(ANOVA)을 이용하여 가공표면품위와 절삭조건과의 상관관계를 규명하며 가공면의 표면거칠기 향상에 대한 최적 절삭조건을 찾아 가공면의 품위를 향상시키고자 한다. 절삭 실험의 인자로는 절삭속도, 이송속도, 절삭폭, 절삭깊이며 수준의 수는 절삭속도 3수준 이송속도 3수준 절삭폭 2수준 절삭깊이 2수준으로 선정하여 실험을 한다.
Recently many organization to become survival in changing marketplace, they must commit to implementing tools, systems, and quality management techniques. In this paper we develop process method of Team's problem-solving to reduce in failure costs. This paper suggest the step process how to measure quality cost reasonably that works in all types organizations. Or what is continuous improvement? Continuous improvement can be described as the continuous reduction of variation. Variation has many sources (machines, methods, materials, measurements, people, and environments) and cause (special & common in organization). As quality cost are not the answer to every organization financial, or quality-related problem, Its real results are designing & implementing quality cost system might be the answer.
The facility location in designing a supply chain network is an important decision problem that gives form, structure, and shape to the entire supply chain system. Location problems involve determining the location, number, and size of the facilities to be used. The optimization of these location decisions requires careful attention to the inherent trade-offs among service time, inventory costs, facility cost, transportation costs.
This paper presents a strategy that provides the best locations of distribution centers using GIS(Geographical Information System) assuming the limitation of delivery time. To get the best strategy of the location of distribution centers, we use the new loss functions as a penalty when the delivery time is violated.