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Babar Zaman on Muck Rack

Babar Zaman

As seen in: Wiley Online Library, Taylor & Francis Online, EIN News, EIN Presswire
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Articles

Process location monitoring using a new adaptive memory control chart with Generalized Gauss-Weight function

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By Babar Zaman, Muhammad Faraz, Syed Zeeshan Mahfooz
| Taylor & Francis Online
Abstract Score functions are widely used for outlier detection and robust estimation. Recently, they have been incorporated into control charts to improve shift detection performance. The Exponential Weighted Moving Average (EWMA) chart is effective for detecting small-to-moderate shifts in the Process Location Parameter (PLP). Integrating score functions with EWMA further enhances its ability to identify shifts of different magnitudes.
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ExSign Now Available in Microsoft Marketplace

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By Babar Zaman
| EIN Presswire
ExSign Now Available in Microsoft Marketplace Microsoft customers worldwide can discover and deploy ExSign, a cloud-native email signature management service for Microsoft 365 through Microsoft Marketplace We’re pleased to welcome ExSign for Microsoft 365 to Microsoft Marketplace.” — Cyril Belikoff, Vice President, Microsoft Azure Product Marketing KINGSTON, ONTARIO, CANADA, April 16, 2026 / EINPresswire.com/ -- Hosting Controller Inc.
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A simulation-based Bayesian multivariate adaptive EWMA framework with hybrid score functions for monitoring water quality

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By Muhammad Riaz, Babar Zaman, Irshad Ahmad Arshad, Fozia Tauqeer
| Taylor & Francis Online
A simulation-based performance demonstrated the novelty of integrating a Bayesian multivariate adaptive exponentially weighted moving average (MAEWMA) framework for significant improvement in quality control. The Bayesian MAEWMA control chart is designed to track complex quality profiles in manufacturing and environmental systems. The proposed method enhanced the detection ability of small to moderate shifts in multivariate process control.
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