Hybrid Exponentially Weighted Moving Average Control Chart Using Ranked Set Sampling

dc.contributor.authorNavara Shabbir
dc.contributor.authorSP17-RST-001
dc.contributor.authorLHR TP 5301
dc.contributor.authorDr. Muhammad Noor-ul-Amin
dc.date.accessioned2026-04-02T10:13:38Z
dc.date.issued2018
dc.description.abstractIn manufacturing process, the products are subjected to variations which directly impact the quality of a product e.g. in the process of filling juice bottles, the amount of juice filled may not exactly the same. Quality control combined with statistical techniques is called statistical process control (SPC). To achieve the level of perfection in a production procedure SPC play an important role, it generally contains tools for monitoring the dissimilarities caused during a production process. SPC has a direct impact in increasing the quality of a product by reducing the amount of variation and enabling it to attain desired satisfaction level.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/3171
dc.language.isoen
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus
dc.relation.ispartofseriesLHR TP 5301
dc.subjectDr. Muhammad Noor-ul-Amin
dc.subjectsp17
dc.subjectDepartment of Statistics
dc.subjectStatistics
dc.subjectHybrid Exponentially
dc.titleHybrid Exponentially Weighted Moving Average Control Chart Using Ranked Set Sampling
dc.typeThesis

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