High variance observed in the measurement system can cause high process variation that can affect process capability badly. Therefore, measurement system analysis is closely related to process capability analysis. Generally, the evaluation for measurement system and process variance is performed separately in the industry. That is, the measurement system analysis is implemented before process monitoring, process capability and process performance analysis even though these analyses are closely related. This paper presents the effective concurrent evaluation procedure for measurement system analysis and process capability analysis using the table that contains Process Performance (Pp), Gage Repeatability & Reproducibility (%R&R) and Number of Distinct Categories (NDC). Furthermore, the long-term process capability index (Pp), which takes into account both gage variance and process variance, is used instead of the short-term process capability (Cp) considering only process variance. The long-term capability index can reflect well the relationship between the measurement system and process capability. The quality measurement and improvement guidelines by region scale are also described in detail. In conclusion, this research proposes the procedure that can execute the measurement system analysis and process capability analysis at the same time. The proposed procedure can contribute to reduction of the measurement staff’s effort and to improvement of accurate evaluation.

An estimation of indices for potential process capability (Cpk) and/or overall process performance (Ppk) is considered in order to gain insight into the statistical process control. The similarity and the difference of the two indices are discussed in some detail to clarify the meaning and usage of the two indices. It is demonstrated that the short term variance can be estimated within the framework of analysis of variance (ANOVA). Theoretic background is examined and followed by a simple numerical example, with a view to the implementation of the concept in the industrial fields.

Purpose – Market orientation is a key factor for business performance in today’s fluctuating conditions. This study investigates whether the employment of innovation can improve the innovative capability and increase the performance by gaining competitive advantages or not. Therefore, this study aims to investigate the effects of market orientation on the performance of small and medium size distributer enterprises (SMDEs) in Iran. Research design, data, and methodology – Customer orientation, Competitor orientation, and Inter-functional coordination have been regarded as market orientation indices to determine the effects of these indices on marketing innovation, gaining competitive advantages, and companies’ performance as well. Data were collected from managers and experts in SMDEs in Iran. The structural equations modeling are used for analysis. Results – The results indicated that marketing innovation has been improved in competitive companies that enjoyed a high level of Inter-functional coordination among the various units. Besides, marketing innovation resulted in gaining competitive advantages regarding cost management, concentration, and differentiation in these companies. In addition, it was observed that SMDEs that obtain competitive advantages are equipped to reap superior performance. Conclusions – With cost management, differentiation and concentration are more likely to enhance the enterprise efficiency and effectiveness than other companies. Additionally, competitiveness, inter-functional coordination, and marketing innovation in SMDEs have a positive impact on marketing innovation.

본 논문에서는 6자유도를 갖는 병렬형 기구의 출력 속도 공간에서 성능을 평가할 수 있는 지표를 제안하였다. Manipulability와 condition number에 기반을 둔 성능 지표가 단위계의 볼일치로 인한 물리적 의미의 결함이 없도록 출력공간을 병진속도 공간과 회전속도 공간으로 분리하는 방법을 제안하였다. 각 공간에서 단위 입력에 대용하는 mobility ellipsoid를 정의하여 이를 기반으로 병진운동 출력공간에서 두 종류 성능 지표와 회전운동 공간에서 두 종류의 성능 지표를 제안하였다.