Sentence examples for multiple quality indices from inspiring English sources

For multiple quality indices, the above two classes of optimization focus on searching the single optimal combination of process parameters.

However, it is known that the trade-off relationships exist among multiple quality indices, so the searching task of the single optimum is not easy.

This paper proposes a method of finding the complete efficient frontier of process parameters with only a few times of experiments when multiple quality indices are considered for plastic injection molding.

To find the settings for the process parameters such that the multiple quality indices can be simultaneously optimized is becoming a research issue and is now known as finding the efficient frontier of the process parameters.

Additionally, the product quality is not simply based on a single quality index, but multiple interrelated quality indices.

Part quality for plastic injection molding is often evaluated by multiple interrelated quality indices, and each quality index is highly related with process parameters.

Chen et al. (2013) studied on simultaneous optimization of multiple interrelated quality indices, leading to product quality improvement in the field of plastic injection molding.

An improved multi-objective optimization (MOO) model was established and used for simultaneously optimizing the treatment cost and multiple effluent quality indexes (including effluent COD, NH+4 N, NO−3 N) of a municipal wastewater treatment plant (WWTP).

Currently, no published study has integrated interdisciplinary knowledge and robust methodologies in a systems approach to quantitatively compare a comprehensive range of both fruit and soil quality indices using multiple organic and conventional farms, multiple varieties, and multiple sampling times.

To assure the accomplishment of cost savings without losing yield, the proposed grey-fuzzy Taguchi method is utilized with an L18 (21 × 37) experimental design and grey relational analysis (GRA) to evaluate the degree of relationship between process inputs and responses, followed by transforming the multiple quality characteristics into a single performance index using a fuzzy inference system.

That is, if a CG is included in an MCP with multiple CGs, then all the CGs with higher quality indices have to be included in the MCP.