https://insight.piscomed.com/index.php/I-S <table> <tbody> <tr> <td style="vertical-align: top;" align="justify"><em>Insight - Statistics</em>&nbsp;is a reference journal. The article will include references and figures. Creativity, quality and clarity will be the criteria for selecting published materials.<br>The proliferation of literature and the long delay in publishing have made it difficult for researchers and practitioners to keep up with new developments outside their professional fields. The purpose of statistics and probability letters is to help alleviate this problem. Concise communication enables the reader to quickly and easily digest a large amount of information and to keep up with the latest developments in all areas of statistics.<br>Key results and central ideas must be presented in a clear and concise manner. Theories and methods can be published either by omission or by mere sketches, but only if sufficient supporting material is provided to verify the results. Experiences and calculations with important values will be published. We also plan to publish applications and case studies to demonstrate innovative use of existing technologies, or interesting innovative ideas for data collection, modeling, or reasoning.</td> <td width="150px"> <p><img src="/public/site/images/reviewer/Insight_-_Statistics_150.png" alt=""><br>&nbsp; &nbsp; ISSN:&nbsp;2661-3115</p> <p>&nbsp; &nbsp;&nbsp;<img src="/public/site/Open_Access.png" alt="" height="20px"></p> </td> </tr> </tbody> </table> PiscoMed Publishing Pte Ltd en-US Insight - Statistics 2661-3115 <p>Authors contributing to the journal agree to publish their articles under the <a href="http://creativecommons.org/licenses/by-nc/4.0">Creative Commons Attribution-Noncommercial 4.0 International License</a>, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, that the work is not used for commercial purposes, and that in the event of reuse or distribution, the terms of this license are made clear.</p><p><img src="/public/site/by-nc.png" alt="" height="30px" /></p> https://insight.piscomed.com/index.php/I-S/article/view/644 <p>The Design of Experiment (DOE) methodology is a fundamental tool for systematic inquiry and optimization in both scientific and industrial applications. The DOE’s statistical framework is designed to enhance the efficiency and reliability of experimental investigations by systematically planning, conducting, and evaluating controlled experiments. To support well-informed decision-making, process optimization, and quality improvement, the main goal of DOE is to discover and quantify the effects of various variables on a response variable. Various methods such as full factorial, fractional factorial, Taguchi, and response surface methodologies provide powerful tools for optimising processes and enhancing quality. The study covers the application of DOE in several industries, including engineering, manufacturing, agriculture, and medicine. Defect minimization, process optimization, and quality improvement are all aided by DOE in manufacturing. By determining the best dosages and formulations, it helps in drug development in the pharmaceutical industry. In the field of agriculture, DOE facilitates the identification of optimal growing conditions and techniques. It helps in the engineering and assessing new systems and products. To achieve consistency and accuracy in data collection, the experiment must be carried out with strict adherence to the experimental strategy. Analysing data involves using statistical tools to evaluate the findings and make conclusions, such as ANOVA, regression analysis, and graphical approaches. By pointing out important variables and their interactions, these studies aid in process optimization and product quality enhancement.</p> Amir Ahmad Dar Princy Yadav Aswani N Tashi Wangmo A Copyright (c) 2024 Amir Ahmad Dar, Princy Yadav, Aswani N, Tashi Wangmo A https://creativecommons.org/licenses/by/4.0/ 2024-11-12 2024-11-12 7 1 644 644 10.18282/i-s644