spc

SPC (Statistical Process Control) is a method of monitoring and controlling manufacturing or business processes through statistical methods, aimed at ensuring that the process is always in a controlled state, thereby reducing variability and improving quality.

Group Statistics

Support folwing charts:

• Xbar-R Chart

• Xbar-S Chart

• R Chart

• S Chart

Attribute Statistics

Support folwing charts:

• P Chart
• NP Chart
• C Chart
• U Chart

Moving Statistics

Support folwing charts:

• Individuals Chart

• Moving Range Chart

• Moving Average Chart

How to choose an appropriate control chart

SPC Rule

• Rule1Beyond3Sigma
• Rule2Of3Beyond2Sigma
• Rule4Of5Beyond1Sigma
• Rule8PointsAboveOrBelowCenter
• Rule9PointsOnSameSideOfCenter
• Rule14PointsOscillating
• Rule15PointsWithin1Sigma
• Rule6PointsUpOrDown

Examples

    use spc_rs::RoundingMode::RoundHalfUp;
    use spc_rs::RoundingContext;
    use spc_rs::group_stats::{GroupStats, GroupStatsChartType};
    use spc_rs::{SpcRule};
    pub fn main() {
        let v1 = vec![
            0.65, 0.75, 0.75, 0.60, 0.70, 0.60, 0.75, 0.60, 0.65, 0.60, 0.80, 0.85, 0.70, 0.65,
            0.90, 0.75, 0.75, 0.75, 0.65, 0.60, 0.50, 0.60, 0.80, 0.65, 0.65,
        ];
        let v2 = vec![
            0.70, 0.85, 0.80, 0.70, 0.75, 0.75, 0.80, 0.70, 0.80, 0.70, 0.75, 0.75, 0.70, 0.70,
            0.80, 0.80, 0.70, 0.70, 0.65, 0.60, 0.55, 0.80, 0.65, 0.60, 0.70,
        ];
        let v3 = vec![
            0.65, 0.75, 0.80, 0.70, 0.65, 0.75, 0.65, 0.80, 0.85, 0.60, 0.90, 0.85, 0.75, 0.85,
            0.80, 0.75, 0.85, 0.60, 0.85, 0.65, 0.65, 0.65, 0.75, 0.65, 0.70,
        ];
        let v4 = vec![
            0.65, 0.85, 0.70, 0.75, 0.85, 0.85, 0.75, 0.75, 0.85, 0.80, 0.50, 0.65, 0.75, 0.75,
            0.75, 0.80, 0.70, 0.70, 0.65, 0.60, 0.80, 0.65, 0.65, 0.60, 0.60,
        ];
        let v5 = vec![
            0.85, 0.65, 0.75, 0.65, 0.80, 0.70, 0.70, 0.75, 0.75, 0.65, 0.80, 0.70, 0.70, 0.60,
            0.85, 0.65, 0.80, 0.60, 0.70, 0.65, 0.80, 0.75, 0.65, 0.70, 0.65,
        ];

        let mut xbar_r_chart_stats = GroupStats::new(5, GroupStatsChartType::XbarRChart).unwrap();
        xbar_r_chart_stats.set_group_count(100);
        xbar_r_chart_stats.set_rounding_ctx(Some(RoundingContext::new(2, RoundHalfUp)));
        for i in 0..v1.len() {
            let _r = xbar_r_chart_stats
                .add_data(&vec![v1[i], v2[i], v3[i], v4[i], v5[i]])
                .unwrap();
        }

        let ucl = xbar_r_chart_stats.ucl();
        let lcl = xbar_r_chart_stats.lcl();
        let cl = xbar_r_chart_stats.cl();
        let average = xbar_r_chart_stats.average();
        let ranges = xbar_r_chart_stats.ranges();
        assert_eq!(0.82,  ucl);
        assert_eq!(0.72,  cl);
        assert_eq!(0.61,  lcl);
        println!("average: {:?}",average);
        println!("range: {:?}",ranges);

        // apply spc rules
        let res = xbar_r_chart_stats.apply_rule_validation(vec![
            SpcRule::Rule1Beyond3Sigma(1, 3),
            SpcRule::Rule2Of3Beyond2Sigma(2, 3, 2),
        ]);
        println!("res: {:#?}", res);
        
    }