[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-563315-105":53,"doc-detail-563315-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","control-chart-review-article","Control chart - Review article","","Control chart is a statistical process control tool used in pharmaceutical manufacturing to determine whether a dosage-form process is in statistical control. It supports organizing and storing data, visualizing departures from typical performance, and calculating control limits and process capability direction. The review explains the purpose of centerlines and upper/lower control limits, distinguishes control limits from specification limits, and introduces elements and types of control charts, including advantages and example applications.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/control-chart-review-article/563315/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/control-chart-review-article/563315.png","ImageObject",442,249,{"name":88,"@type":89},"Mia  ","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-21","2026-10-12",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",6,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What is a control chart used for in pharmaceutical process control?","Question",{"text":109,"@type":110},"A control chart visually shows whether a manufacturing process is in statistical control by tracking the process trend and identifying instances when the process begins to go out of control.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"How do control limits differ from specification limits?",{"text":114,"@type":110},"Control limits indicate process capability and the acceptable bounds of deviation from the centerline, whereas specification limits describe how a process should perform.",{"name":116,"@type":107,"acceptedAnswer":117},"What are the main causes of variation addressed in statistical quality control?",{"text":118,"@type":110},"Variations are classified as common cause variation (inherent system design) and special cause variation (unexpected causes from employees or unusual events not normally present in the process).","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},563315,1792252119,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":141,"read_time":76},687207024478,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Control chart: A statistical process control tool in pharmacy  \nSamip Shah, Pandya Shridhar, Dipti Gohil  \nDepartment of Pharmaceutical Technology, Pioneer Pharmacy Degree College, Vadodara, Gujarat, India  \nControl chart is the most successful statistical process control (SPC) tool, originally developed by Walter Shewhart  \nin the early 1920s. A control chart can easily collect, organize and store information, calculate answers and present results in easy to understand graphs. It helps to record data and allows to see when an unusual event, e.g., a very high or low observation compared with “typical” process performance, occurs . Computers accept information typed in manually, read from scanners or manufacturing machines, or imported from other computer databases.The resulting control charts can be examined in greater detail, incorporated into reports, or sent across the internet . A stable process is a basic requirement for process improvement efforts . A computer collecting information in real time can even detect very slight changes ina process, and even warn you in time to prevent process errors before they occur. First, control charts demonstrate how consistently process is performing, and whether you should, or should not, attempt to adjust it. Next, the statistical process control chart compares the process performance to standard pharmaceutical requirements, providing a process capability index as an ongoing, accurate direction for quality improvement. Finally, control charts and its resulting process capability index quickly evaluate the results of quality initiatives designed to improve process consistency. This review focuses on elements of control chart and types of various control charts along with example . Advantages of various control charts are also included.  \nKey words: Attribute chart, Shewhart chart, trend chart, variable chart  \nINTRODUCTION  \nControl charts, also known as Shewhart charts or process-behavior charts, in statistical process control are tools used to determine whether a manufacturing of dosage form in pharmaceutical industry is in a state of statistical control or not. A control chart is a “Trend Chart” with the addition of statistically calculated upper and lower control limits drawn above and below the process average line. [1] The charts are used to provide a visual graphic representation of instances when a process is beginning to go out of control.  \nThe purpose of the chart is to indicate this trend in order that the system may be brought back into control. They contain a centerline representing the process average or expected performance, as well as upper and lower control limits that set bounds for an acceptable area of deviation from the centerline. Control limits are not the same as specification limits. Control limits indicate the  \nAddress for correspondence:  \nMr. Samip S. Shah, Lecturer, Pioneer Pharmacy Degree College, Vadodara, Gujarat, India.  \nE-mail: [samipshah2008@yahoo.com](samipshah2008@yahoo.com)  \n[DOI:](DOI: 10.4103/0973-8398.72116)[ 10.4103/0973-8398.72116](DOI: 10.4103/0973-8398.72116)  \nprocess capability. They are not an indication of how a process should perform.  \nThe conventional approach of drug formulation development suffers from several pitfalls. The stated approach is: time consuming, money expending, energy utilizing unfavorable to plug errors and unpredictable. [2] Control charting is the most technically sophisticated tool of“Statistical Quality Control.” When the charts are used correctly, they can serve to improve the economic effectiveness of a process.  \nStatistical quality control is a method by which companies gather and analyze data on the variations which occur during production in order to determine if adjustments are needed. All processes have some form of variations. Variation in process can exist either because of common cause or special cause. Variation because of inbuilt fault in the design of the system leading to numerous, ever present","cbCaignZ8fph1eQn","https://ap.wps.com/l/cbCaignZ8fph1eQn","pdf",1531634,9,"English","# Introduction\n## Control chart purpose and definitions\n# Statistical quality control concepts\n## Common cause vs special cause variation\n# Elements of control charts\n## Title, legend, axes parameters, centre and control lines","[{\"question\":\"What is a control chart used for in pharmaceutical process control?\",\"answer\":\"A control chart visually shows whether a manufacturing process is in statistical control by tracking the process trend and identifying instances when the process begins to go out of control.\"},{\"question\":\"How do control limits differ from specification limits?\",\"answer\":\"Control limits indicate process capability and the acceptable bounds of deviation from the centerline, whereas specification limits describe how a process should perform.\"},{\"question\":\"What are the main causes of variation addressed in statistical quality control?\",\"answer\":\"Variations are classified as common cause variation (inherent system design) and special cause variation (unexpected causes from employees or unusual events not normally present in the process).\"}]","Control chart - Review article | PDF",1791828621]