Developing a Novel Fuzzy Evaluation Model by One-Sided Specification Capability Indices

Abstract

When all of the one-sided specification indices of each quality characteristic reach the requirements of the process quality level, they can ensure that the process capability of the product meets the requirements of the process quality level. This study constructs a fuzzy membership function based on the upper confidence limit of the index, derives the fuzzy critical value, and then labels the fuzzy critical value on the axis of the visualized radar chart as well as connects adjacent critical points to shape a regular polygonal critical region. Next, this study calculates the observed value of the index to estimate and mark it on the axis for forming a visualized fuzzy radar evaluation chart. Obviously, this fuzzy evaluation model not only reduces the testing cost but also makes the quality level quickly meet the requirements of the specifications. Further, the radar chart can reduce the risk of misjudgment attributable to sampling errors and help improve the accuracy of evaluation by a confidence-upper-limit-based fuzzy evaluation model. Therefore, this easy-to-use visualized fuzzy radar evaluation chart is used as an evaluation interface, which has good and convenient management performance to identify and improve critical-to-quality quickly. Improving the quality of the process before the product is completed will also have the advantage of reducing social losses and environmental damage costs.

Quality-Based Supplier Selection Model for Products with Multiple Quality Characteristics

“…(2) The quality evaluation radar chart offers a quality evaluation method for products with multiple quality characteristics and a selection tool for suppliers. It allows machine-tool manufacturers and suppliers to evaluate the standard of all quality characteristics at the same time and make process improvements in quality characteristics with poor quality levels [39,40]. (3) When directly comparing the estimated value of the index with the minimum value, M V is employed to determine whether the quality level meets the requirements, which is more in line with its practical use [35].…”

“…As can be observed from Figure 2, and based on Equations ( 38) and ( 39), the statistical testing rules can be stated with the following conditions: 0 pmh the s suppliers and marked them on the pentagonal radar chart with 5 a  , as follows. As can be observed from Figure 2, and based on Equations ( 38) and (39), the statistical testing rules can be stated with the following conditions:…”

“…In fact, performing statistical testing through the upper confidence limits of the indices ensures the reduction of producer risk [36][37][38]. Additionally, some studies have indicated that all the quality characteristics of the product must meet the requirements of the quality level so that the high standard of the final product can be guaranteed [39,40]. Many studies in the literature have stated that the radar chart is a visual evaluation tool [41][42][43]; therefore, this paper uses many radar lines as a process quality evaluation tool to assess a particular supplier's product with multiple quality characteristics.…”

Novel Service Efficiency Evaluation and Management Model

“…Furthermore, a large number of studies have also suggested that the radar chart is a visual 2D plan, which is a practical graphical analysis and management tool with high readability and a wide range of applications, including engineering, education, management, etc. [19][20][21][22][23][24][25][26][27]. The radar chart can evaluate the performance of all workstations at the same time.…”

Untitled

“…A number of studies related to process quality have pointed out that enhancing process quality can increase product lifetime as well as reduce the rate of process scrap and rework. Not only can it raise the value of the product, but it also can contribute to the sustainable development of enterprises in the face of challenges to global warming [7,10,17]. Numerous studies have stated that under the thinking of circular economy and sharing economy, good product quality, high availability, and long lifetime can not only reduce operating costs but also improve operating efficiency, thereby enhancing users' satisfaction and willingness [18,20,24].…”