Machines and facilities are physically or chemically degenerated by continuous usage. The representative type of the degeneration is the wearing of tools, which results in the process mean shift. According to the increasing wear level, non-conforming products cost and quality loss cost are increasing simultaneously. Therefore, a preventive maintenance is necessary at some point . The problem of determining the maintenance period (or wear limit) which minimizes the total cost is called the ‘process mean shift problem’. The total cost includes three items: maintenance cost (or adjustment cost), non-conforming cost due to the non-conforming products, and quality loss cost due to the difference between the process target value and the product characteristic value among the conforming products. In this study, we set the production volume as a decreasing function rather than a constant. Also we treat the process variance as a function to the increasing wear rather than a constant. To the quality loss function, we adopted the Cpm+, which is the left and right asymmetric process capability index based on the process target value. These can more reflect the production site. In this study, we presented a more extensive maintenance model compared to previous studies, by integrating the items mentioned above. The objective equation of this model is the total cost per unit wear. The determining variables are the wear limit and the initial process setting position that minimize the objective equation.

Machines and facilities are physically or chemically degenerated by continuous usage. One of the results of this degeneration is the process mean shift. The representative type of the degeneration is wear of tool or machine. According to the increasing wear level, non-conforming products cost and quality loss cost are increasing simultaneously. Therefore a periodic preventive resetting the process is necessary. The total cost consists of three items: adjustment cost (or replacement cost), non-conforming cost due to product out of upper or lower limit specification, and quality loss cost due to difference from the process target value and the product characteristic value among the conforming products. In this case, the problem of determining the adjustment period or wear limit that minimizes the total cost is called the ‘process mean shift’ problem. It is assumed that both specifications are set and the wear level can be observed directly . In this study, we propose a new model integrating the quality loss cost, process variance, and production volume, which has been conducted in different fields in previous studies. In particular, for the change in production volume according to the increasing in wear level, we propose a generalized production quantity function g(w). This function can be applied to most processes and we fitted the g(w) to the model. The objective equation of this model is the total cost per unit wear, and the determining variables are the wear limit and initial process setting position that minimize the objective equation.

All machines deteriorate in performance over time. The phenomenon that causes such performance degradation is called deterioration. Due to the deterioration, the process mean of the machine shifts, process variance increases due to the expansion of separate interval, and the failure rate of the machine increases. The maintenance model is a matter of determining the timing of preventive maintenance that minimizes the total cost per wear between the relation to the increasing production cost and the decreasing maintenance cost. The essential requirement of this model is that the preventive maintenance cost is less than the failure maintenance cost. In the process mean shift model, determining the resetting timing due to increasing production costs is the same as the maintenance model. In determining the timing of machine adjustments, there are two differences between the models. First, the process mean shift model excludes failure from the model. This model is limited to the period during the operation of the machine. Second, in the maintenance model, the production cost is set as a general function of the operating time. But in the process mean shift model, the production cost is set as a probability functions associated with the product. In the production system, the maintenance cost of the equipment and the production cost due to the non-confirming items and the quality loss cost are always occurring simultaneously. So it is reasonable that the failure and process mean shift should be dealt with at the same time in determining the maintenance time. This study proposes a model that integrates both of them. In order to reflect the actual production system more accurately, this integrated model includes the items of process variance function and the loss function according to wear level.

This study is about the process capability index (PCI). In this study, we introduce several indices including the index CPR and present the characteristics of the CPR as well as its validity. The difference between the other indices and the CPR is the way we use to estimate the standard deviation. Calculating the index, most indices use sample standard deviation while the index CPR uses range R. The sample standard deviation is generally a better estimator than the range R . But in the case of the panel process, the CPR has more consistency than the other indices at the point of non-conforming ratio which is an important term in quality control. The reason why the CPR using the range has better consistency is explained by introducing the concept of ‘flatness ratio’. At least one million cells are present in one panel, so we can’t inspect all of them. In estimating the PCI, it is necessary to consider the inspection cost together with the consistency. Even though we want smaller sample size at the point of inspection cost, the small sample size makes the PCI unreliable. There is ‘trade off’ between the inspection cost and the accuracy of the PCI. Therefore, we should obtain as large a sample size as possible under the allowed inspection cost. In order for CPR to be used throughout the industry, it is necessary to analyze the characteristics of the CPR . Because the CPR is a kind of index including subgroup concept, the analysis should be done at the point of sample size of the subgroup. We present numerical analysis results of CPR by the data from the random number generating method. In this study, we also show the difference between the CPR using the range and the CP which is a representative index using the sample standard deviation. Regression analysis was used for the numerical analysis of the sample data. In addition, residual analysis and equal variance analysis was also conducted.

Machines and facilities are physically or chemically degenerated by continuous usage. One of the results of this degeneration is the process mean shift. By the result of degeneration, non-conforming products and malfunction of machine occur. Therefore a periodic preventive resetting the process is necessary. This type of preventive action is called ‘preventive maintenance policy.’ Preventive maintenance presupposes that the preventive (resetting the process) cost is smaller than the cost of failure caused by the malfunction of machine. The process mean shift problem is a field of preventive maintenance. This field deals the interrelationship between the quality cost and the process resetting cost before machine breaks down. Quality cost is the sum of the non-conforming item cost and quality loss cost. Quality loss cost is due to the deviation between the quality characteristics from the target value. Under the process mean shift, the quality cost is increasing continuously whereas the process resetting cost is constant value. The objective function is total costs per unit wear, the decision variables are the wear limit (resetting period) and the initial process mean. Comparing the previous studies, we set the process variance as an increasing concave function and set the quality loss function as Cpm+ simultaneously. In the Cpm+, loss function has different cost coefficients according to the direction of the quality characteristics from target value. A numerical example is presented.

Machines are physically or chemically degenerated by continuous usage. One of the results of this degeneration is the process mean shift. Under the process mean shift, production cost, failure cost and quality loss function cost are increasing continuously. Therefore a periodic preventive resetting the process is necessary. We suppose that the wear level is observable. In this case, process mean shift problem has similar characteristics to the maintenance policy model. In the previous studies, process mean shift problem has been studied in several fields such as ‘Tool wear limit’, ‘Canning Process’ and ‘Quality Loss Function’ separately or partially integrated form. This paper proposes an integrated cost model which involves production cost by the material, failure cost by the nonconforming items, quality loss function cost by the deviation between the quality characteristics from the target value and resetting the process cost. We expand this process mean shift problem a little more by dealing the process variance as a function, not a constant value. We suggested a multiplier function model to the process variance according to the analysis result with practical data. We adopted two-side specification to our model. The initial process mean is generally set somewhat above the lower specification. The objective function is total integrated costs per unit wear and independent variables are wear limit and initial setting process mean. The optimum is derived from numerical analysis because the integral form of the objective function is not possible. A numerical example is presented.

This study is concerned about the process capability index in single process. Previous process capability indices have been developed for the consistency with the nonconforming rate due to the process target value and skewness. These indices calculate the process capability by measuring one spot in an item. But the only one datum in an item reduces the representativeness of the item. In addition to the lack of representativeness, there are many cases that the uniformity of the item such as flatness of panel is absolutely important. In these cases, we have to measure several spots in an item. Also the nonconforming judgment to an item is mainly due to the range not due to the standard variation or the shift from the specifications. To imply the uniformity concept to the process capability index, we should consider only the variation in an item. It is the within subgroup variation. When the universe is composed of several subgroups, the sample standard deviation is the sum of the within subgroup variation and the between subgroup variation. So the range R which represents only the within subgroup variation is the much better measure than that of the sample standard deviation. In general, a subgroup contains a couple of individual items. But in our cases, a subgroup is an item and R is the difference between the maximum and the minimum among the measured data in an item. Even though our object is a single process index, causing by the subgroups, its analytic structure looks like a system process capability index. In this paper we propose a new process capability index considering the representativeness and uniformity.

Process capability indices (PCIs) have been widely used in manufacturing industries to provide a quantitative measure of process potential and performance to meet the specification limits on quality characteristics. The most of existing PCIs are concerned with a single variable. But, in many cases, people want to express a integrated PCI which includes a couple of sequential processes. In this paper, we analyzed the characteristics of system PCIs such as Cp(f), SCpk, SCpsk, Ctpsk(m) and SCpm(m).

This study is concerned with process capability index in single process. We enumerated issues on the calculation of process capability index and described the effects of these issues. We explained the development process and the reason of the representative existing process capability indices. We investigated whether the indices agree with the concept of process capability and drew the problems from those results. In addition, we proposed alternative and direction to seize the process capability necessary to the field.

The distribution cost increases constantly because of the growth of yield, globalization of accounts and the generalization of e-commerce. This paper is concerned with scheduling on the allocation of workers to maximize the amount of order process in warehouse logistics system. The problem is to determine the number of operators in each process by the sequential time zone. We considered that the number of operators is restricted to the current level and also the process time is changed by putting some resources into the process. In each stage, we suggest some considerations for the allocation of workers and estimate the maximum amount of order process of the alternatives. We analyzed the alternatives using simulation s/w Arena with real cases.

중기의 예이츠는 삶의 의미를 회복시키기 위해 삶에 초점을 맞춘 시론을 선택하고 있다. 그러나 이런 입장에도 불구하고 그는 초기와 마찬가지로 초월적인 세계를 마스크로 선택함으로써 중기시에는 마스크에 대한 동경과 이것의 결함을 제시하며 삶의 가치를 주장하는 목소리가 공존하고 있다. 삶과 마스크의 갈등은 때로 중기 마스크를 구체적으로 제시하기 위한 예술의 이미지와 삶의 갈등으로 드러난다. 그의 시적 목표를 충족시키지 못하는 불만족스러운 마스크로 인해 예술은 행복한 것이라는 마스크 이론이 함유하고 있는 예이츠의 주장이 훼손되고 있다. 중기의 마스크는 그의 중기 시론과 마스크 이론을 다 같이 훼손하며 삶과 마스크의 갈둥을 첨예하게 만들고 있다.

Process capability indices (PCIs) have been widely used in manufacturing industries to provide a quantitative measure of process potential and performance. The previous studies have measured only one location on each part in the case of single variate. To

In this study, we took the census of the project satisfaction level of the employees who have participated in Six Sigma projects. We divided and measured the project satisfaction by the steps of performing the project (team building, execution, ownership

This study is an attempt to analyze Yeats’s early poetry in the light of his theory of the mask. For this purpose the writer of the present study has first proposed to define the ‘mask’ to investigate the theory and has reached the conclusion that the ‘mask’ is a Yeatsian term for an ideal image of life which is always opposite to the natural self or the natural world, and the theory of the mask has three aspects−aesthetic, moral, and philosophical−according to the role of the mask. The aesthetic meaning of the theory demonstrates Yeats’s argument on the nature, the source, and the touchstone of a work of art: art is the embodiment of the writer’s mask of life and his inner struggle between mask and life sets him to his creative work; the quality of a work depends upon the expression of this tragic war. And all the more important, Yeats’s strong belief in polarity of the two terms of conflict is clarified. The study of Yeats’s early poetry in terms of his theory of the mask has concluded that Yeats’s early mask is the very transcendent realm which Yeats’s early symbolism proposes to evoke and the main symbols used to express this ideal world are the images of Arcadian island across the sea, rose, the Irish mythic world and Maud Gonne; and the synthesis of Yeats's theory of the mask and symbolism in his early poetry causes some distortions in both his theory of the mask and symbolism. The nature of his transcendent world is conveyed not by the symbols but by the imperfect realities in spite of his strong belief that “divine essence” can only be evoked by the symbols; the nature of this ideal world has also been distorted: it is not the super reality lying beyond reality like Mallarme’s but only an ideal place where all the impurities and imperfections of the real world are removed or corrected. As for the theory of the mask, polarity, the most important basis of the theory, has been impaired: only the value and the love of the ideal world is emphasized, whereas those of the earthly life are restrained or its weaknesses and painfulness are stated to describe the ideal world.

원자전달 라디칼 중합을 이용하여 polystyrene-b-poly (hydroxyethyl methacrylate) (PS-b-PHEMA) 블록 공중합체를 합성한 뒤, 블록 공중합체의 -OH 그룹과 이미다졸 디카르복실릭산 (IDA)의 -COOH 그룹과의 에스테르 반응에 의하여 가교된 전해질막을 제조하였다. 인산(H3PO4)을 도핑하여 이미다졸-인산 착체를 형성한 결과, 인산 함량이 증가함에 따라 공중합체 전해질막의 수소 이온 전도도가 계속 증가하였다. 또한 인장강도와 인장률 모두 인산 함량에 따라 증가하였다. 특히 [HEMA]: [IDA]:[H3PO4] = 3:4:4의 조성을 갖는 PS-b-PHEMA/IDA/H3PO4 블록 공중합체 전해질막은 100°C의 비가습 조건에서 최대 0.01 S/cm의 수소이온 전도도를 나타내었다. 열분석(TGA) 실험을 통하여 전해질막은 350°C의 고온까지 열적으로 안정함을 확인하였다.

원자전달 라디칼 중합을 이용하여 poly(hydroxyl ethyl acrylate)-b-polystyrene-b-poIy(hydroxyl ethyl acrylate) (PHEA-b-PS-b-PHEA) 트리블록 공중합체를 합성하였다. 이렇게 합성된 PHEA-b-PS-b-PHEA블록 공중합체의 -OH 그룹과 이미다졸 디카르복실릭산(IDA)의 -COOH 그룹과의 에스테르 반응에 의하여 가교된 전해질막을 제조하였다. 인산(H3PO4)을 도핑하여 이미다졸-인산 착체를 형성한 결과, 인산 함량이 증가함에 따라 고분자 전해질막의 수소 이온 전도도가 증가하였다. 특히 [HEA]:[IDA]:[H3PO4]=3:4:4의 조성을 갖는 PHEA-b-PS-b-PHEA/IDA/H3PO4 고분자 전해질막은 100℃의 비가습 조건에서 최대 0.01 S/cm의 수소이온 전도도를 나타내었다. 열분석 결과(TGA) 전해질막은 350℃의 고온까지 열적으로 안정함을 확인하여 연료전지에 적용이 가능함을 보여주었다.