On a conceptual point of SCM, as a order of development, physical distribution, logistics management, basic supply chain management and advanced supply chain management etc. they are magnifying gradually, confusing with information and analysis techniques which seems possible. But on executing, it has a lot of problems because it is so complex and wide, so the enterprise which knows necessity of SCM, they don't have a total execution solution. On this paper, we will focus a proposal of alternatives with reasonableness of manufacturing and making a profit of sales department like most of enterprises to overcome carelessness and unready strategy of investment. And we will find a element through a analysis of cases, a statistical method of effective SCM, and actual survey to propose a alternative proposal. And, we will Prove the facts that it could be a guiding company which has a ability of cooperation with entities through the founding of supply chain, On the conclusion, we will show the variation which influences for capacity entities and alternative proposal to define a element which influence for a cause and effect basically.

As Internet spreads rapidly, the industrial structure is changing to a new paradigm. The previous EDI system was asked to change and WEB EDI, E-Mail EDI, FTP EDI etc. which are based on the internet appeared. These days the XML/EDI which has XML document appeared. The XML/EDI consider advantages and disadvantages of VAN/EDI and EDI which based on the internet. Also, EDI system has to assure a safe exchange between sender and receiver. But, the internet has security problems because it uses a open TCP/IP protocol. Although there are many methods for security, it is being studied with XML concept. On this paper, we will suppose the XML/EDI system model with XML Signature, and build a procedure of electronic signature and delivery of document between sender and receiver.

80년대 골드랫 박사에 의해 이론이 소개된 이후, 북미와 유럽 지역에서 많은 학자와 기업가들에 의해 연구, 현장에 적용되면서 오늘날 경영혁신 기법들을 주도하는 이론으로 자리잡은 제약이론(Theory of Constraints)은 최근에야 비로소 국내에 소개되고 있는 실정이다. 하지만 소개된 대부분의 연구가 TOC를 구성하는 여러 엔진 중 DBR에 국한된 것들이며, DBR 스케줄링 역시 아직은 이론적 연구에 그치고 있다. 본 연구에서는 기존의 여러 DBR 스케줄링 연구에서 보여진 한계, 즉 제약자원을 선정하는 데 있어, 자원이 가진 부하비율(부하/능력)만을 선정의 기준으로 고려하는 것에서 벗어나 실제 생산현장에 존재할 수 있는 여러 요소를 고려한 스케줄링 방법을 제시하였다. 각 제약자원들의 중요도를 고려하는데 있어서, 객관적 요소와 주관적 요소를 분류한 후 여러 전문가가 각각의 주관적 요소에 부여된 값을 다구찌 기법에서 이용하는 SN비로 계산하고 그 값들을 정규화 하였고, 주관적 요소와 객관적 요소를 위한 가중치 또한 SN비로 계산하고 그 값들을 정규화하는 방법을 제시하였다. 이 방법은 여러 요소들을 고려한 제약자원의 결정에 있어서 다른 요소들에 대한 다수의 전문가의 의견 통합을 시도하였고, 동시에 제약자원 결정에 있어서 임의의 요소에 전문가들이 부여한 값들의 평균이 크고 그 값들이 차이가 적은 즉, 거의 일치한 평가를 내리는 자원을 제약으로 선정하고 스케줄링하는 방법을 시도하였다.

Since 1990's, the Information Technology(IT) of combination between PC and Internet has progressed rapidly. As a fast development of Information Communication Technology and spreading of network, the previous economic state, the method of dealing, transaction object and a scope of transaction is changing. Like this, as raising of IT, the existing off-line commercial transaction is moving to electronic commercial one which based on the web. These days, a electronic distribution system of enterprise and the electronic commercial transaction between small company and customer is being operated, but there is no full developed proper system between small retailor and mid distribution center. So on this paper, the system which manage a simple marketing as well as Inventory Management & customer management will be presented.

This research fundamentally deals with an analysis of service level for a multi-level inventory distribution system which is consisted of a central distribution center and several branches being supplied stocks from the distribution center, Under continuous review policy, the distribution center places an order for planned order quantity to an outside supplier, and the order quantity is received after a certain lead time. Also, each branch places an order for particular quantity to its distribution center, and receives the order quantity after a lead time. In most practical distribution environment, demands and lead times are generally not fixed or constant, but variable. And these variabilities make the analysis more complicated. Thus, the main objective of this research is to suggest a method to compute the service level at each depot, that is, the distribution center and each branch with variable demands and variable lead times. Further, the model will give an idea to keep the proper level of safety stocks that can attain effective or expected service level for each depot

The main objective of this research is to develop a model to select the optimal input service level for a distribution center-multi branch inventory distribution system. With the continuous review policy, the distribution center places an order for specific order quantity to an outside supplier, and the order quantity is replenished after a certain lead time Also, each branch places an order for particular order quantity to the distribution center to satisfy the customer demands, and receives the replenishment after a lead time. When an out of stock condition occurs during an order cycle, a backorder is placed to the upper level to fill the unfilled demands. With these situation, variable demand and variable lead time are used for better industrial practice. Further, actual lead times with a generic lead time distribution are used in developing the control model. Under the actual lead time model, the customer service measures actually attained for the distribution center and each branch are explained as the effective customer service measures. Thus, throughout the optimal control (using computer search procedures), we can select the optimal input service levels for the distribution center and each branch to attain the effective service levels for each branch which is consistent with the goal level of service for each branch. At the same time, the entire distribution system keeps minimum inventories.

This article deals with the multiple alternative proposal of Strategy. when Decision makers meet a very complex and important problems to take a good choice. It might not be easy that we make a decision and accept the decision as an exact result of analysis at a complication and uncertain situation. Although the decision under unpredictable state is many existence and each field is classified to support it. he can not provide exact estimations and be able to specify a result and forecasting. This is the reason why the original research use Statistical Survey method and Visual Decision Making Process(VDMP) to improve decision analysis method. Therefore, Our research suggests that the VDMP utilized in the strategic decision making situation as a group decision adding tool, can be applied in the development of a process vision and implementation plan. as a result, researcher describe step by step the process of VDMP.

A study to analyze and solve problems of multi wire installation duct experiment has presented in this paper We have taken Taguchi's parameter design approach, specifically orthogonal array, and determined the optimal levels of the selected variables through analysis of the experimental results using S/N ratio.

Polyacetal resin is usually used to make molds, but it is difficult to achieve dimension accuracy during molding. Therefore it is usually necessary to cut the polyacetal resin after a molding process. Polyacetal resin is easily machining by standard machine tool. Acetal is also a thermal stable material which can be totted without coolant Another concern about the use of polyacetal resin is that it absorbs water easily, which also results in problems with dimension accuracy Therefore, in this study, the cutting resistance of water-absorbed polyacetal resin and its surface roughness after cutting in order to achieve the highest degree of accuracy in the cutting of polyacetal resin were investigated. Also, The Robust Design method uses a mathematical tool called orthogonal arrays to study a large number of decision variables with a small number of experiments. It also uses a new measure of quality, called signal-to-noise (S/N) ratio, to predict the quality from the customer's perspective. Thus, we have taken Taguchi's parameter design approach, specifically orthogonal array, and determined the optimal levels of the selected variables through analysis of the experimental results using S/N ratio.

First, in order to improve selecting method of quality characteristic level desired by customers, S/N(Signal-to-Noise) ratio of Taguchi in larger-the-better characteristics was applied. Second, the Matrix classification standard of ACE(Attribute Categorization Evaluation) is presented using KANO model on difference analysis of importance and satisfaction through questionnaire from customers. This is for reflecting the diverse EC which customers want in EC quality sufficiently. Also, establishing sales point will be helpful in business strategy through presenting types that are able to decide planning quality. Third, the important measure of EC about correlation among quality characteristics and a new weight of EC are calculated depending on importance of EC and the weight of customer attribute and materials of relationship matrix through correlation matrix analysis.

The critical problem in dealing with multiple characteristics is how to compromise the conflict among the selected levels of the design parameters for each individual characteristic. In this study, First, Methodology using SN ratio optimized by univariate technique is proposed and a parameter design procedure to achieve the optimal compromise among several different response variables is developed. Second, to solve the issue on the optimal design for multiple quality characteristics, this study modelled the expected loss function with cross-product terms among the characteristics and derived range of the coefficients of the terms. The model will be used to determine the global optimal design parameters where there exists the conflict among the characteristics, which shows difference in optimal design parameters for the individual characteristics. Third, this paper propose a decision model to incorporates the values assigned by a group of experts on different factors in weighting decision of characteristic. Using this model, SN ratio of taguchi method for each of subjective factors as well as values of weights are used in this comprehensive method for weighting decision of characteristic.

In this research, the system is assumed to carry a single item of which the demand types vary. Demand type is defined as a management's classification of the item according to the demand source or to the service purpose. The purpose of this research is to find the optimal inventory control policy when the system carries a single item which consists of multiple demand types. In this research, the optimizing algorithm contains a heuristic, therefore, the optimal Is not guaranteed by the algorithm. At least, this research provides the solution to the problems that have not been solved by the existing algorithms.

Recently Korea has been achieved highly effective economic growth but it has triggered the high demands of Energy and it makes running out of energy. In addition to the recent oil shock has driven the republic of Korea in hot water. The main reason is that the most electricity production system is based on the heating generation. Accordingly, for the demands of domestic electricity, the generation of electricity(water power, heating power and atomic energy) should be constructed as a pending problem. Especially, the Korea which has very distinctive four seasons might have many problems to establish the generating systems. This study Provides the gate to be out of the energy Problem as a result of the construction of our proper generating systems.

In this research, the system is assumed to carry a single item of which the demand types vary. Demand type is defined as a management's classification of the item according to the demand source or to the service purpose. The purpose of this research is to find the optimal inventory control policy when the system carries a single item which consists of multiple demand types. In this research, the optimizing algorithm contains a heuristic, therefore, the optimal is not guaranteed by the algorithm. At least, this research provides the solution to the problems that have not been solved by the existing algorithms.

The Robust Design method uses a mathematical tool called orthogonal arrays to study a large number of decision variables with a small number of experiments. It also uses a new measure of quality, called signal-to-noise (S/N) ratio, to predict the quality from the customer's perspective. Thus, the most economical product and process design from both manufacturing and customers' viewpoints can be accomplished at the smallest, affordable development cost. Many companies, big and small, high-tech and low-tech, have found the Robust Design method valuable in making high-quality products available to customers at a low competitive price while still maintaining an acceptable profit margin. A study to analyze and solve problems of a biochemical process experiment has presented in this paper. We have taken Taguchi's parameter design approach, specifically orthogonal array, and determined the optimal levels of the selected variables through analysis of the experimental results using S/N ratio.

A study to analyze and solve problems of plastic injection molding experiment has presented in this paper. We have taken Taguchi's parameter design approach, specifically orthogonal array, and determined the optimal levels of the selected variables through analysis of the experimental results using S/N ratio.

In this paper, under JIT kanban system designed by Moeeni, each performance measures (service level, inventory level) identify the robust optimal level at a uncertain environment, and when there are multiple performance characteristics, it propose the optimal design-method and the optimal level decision-method, which consider multiple performance characteristics.