{"id":1186,"date":"2018-01-05T12:22:23","date_gmt":"2018-01-05T11:22:23","guid":{"rendered":"http:\/\/neu.dpc-software.de\/statgraphics\/statgraphics-centurion-six-sigma-menue\/"},"modified":"2018-01-17T16:52:44","modified_gmt":"2018-01-17T15:52:44","slug":"statgraphics-centurion-six-sigma-menue","status":"publish","type":"page","link":"https:\/\/dpc-software.de\/en\/statgraphics\/statgraphics-centurion-six-sigma-menue\/","title":{"rendered":"STATGRAPHICS Centurion &#8211; Six Sigma-Menu"},"content":{"rendered":"<p>[et_pb_section bb_built=&#8221;1&#8243; background_color=&#8221;#f7f7f7&#8243; _builder_version=&#8221;3.0.78&#8243; module_class=&#8221;first-content&#8221;][et_pb_row _builder_version=&#8221;3.0.78&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; _i=&#8221;0&#8243; _address=&#8221;1.0&#8243;][et_pb_column type=&#8221;4_4&#8243;][et_pb_text _builder_version=&#8221;3.0.78&#8243; background_color=&#8221;#f7f7f7&#8243; background_layout=&#8221;light&#8221; border_style=&#8221;solid&#8221; text_orientation=&#8221;center&#8221; module_alignment=&#8221;center&#8221;]<\/p>\n<h1>Statgraphics Centurion &#8211; Six Sigma-Menu<\/h1>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section bb_built=&#8221;1&#8243; module_class=&#8221;volle-breite same-height column-50 height-image &#8221; _builder_version=&#8221;3.0.78&#8243; custom_padding=&#8221;0px||0px|0px&#8221;][et_pb_row make_fullwidth=&#8221;on&#8221; custom_padding=&#8221;0px|0px|0px|0px&#8221; background_color_2=&#8221;#ffffff&#8221; padding_top_2=&#8221;0px&#8221; padding_right_2=&#8221;0px&#8221; padding_bottom_2=&#8221;0px&#8221; padding_left_2=&#8221;0px&#8221; _builder_version=&#8221;3.0.78&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; module_class_2=&#8221;abstand&#8221;][et_pb_column type=&#8221;1_2&#8243;][et_pb_image _builder_version=&#8221;3.0.78&#8243; src=&#8221;https:\/\/dpc-software.de\/wp-content\/uploads\/2017\/10\/dpc-software.jpg&#8221; show_in_lightbox=&#8221;off&#8221; url_new_window=&#8221;off&#8221; use_overlay=&#8221;off&#8221; always_center_on_mobile=&#8221;on&#8221; border_style=&#8221;solid&#8221; force_fullwidth=&#8221;off&#8221; show_bottom_space=&#8221;on&#8221; \/][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243;][et_pb_text _builder_version=&#8221;3.0.78&#8243; background_color=&#8221;#ffffff&#8221; background_layout=&#8221;light&#8221; border_style=&#8221;solid&#8221;]<\/p>\n<p>STATGRAPHICS is used especially in Six Sigma applications The integrated Six Sigma menu is designed according to the well-known Six Sigma DMAIC system. It also contains menu items for further procedures and tools.<\/p>\n<p>Do you need to analyse complex issues? STATGRAPHICS has the tools to describe, measure, analyze, improve and control various processes using statistical methods.<br \/>\nLearn more, how to integrate STATGRAPHICS into your Six Sigma application, also compare the features of STATGRAPHICS.<\/p>\n<p>If the quality of your products and services depends on the joint properties of multiple variables, you may also want to check out for Multivariate Six Sigma.<\/p>\n<p>[\/et_pb_text][et_pb_accordion _builder_version=&#8221;3.0.78&#8243; border_style=&#8221;solid&#8221;] [et_pb_accordion_item _builder_version=&#8221;3.0.78&#8243; title=&#8221;blank&#8221; use_background_color_gradient=&#8221;off&#8221; background_color_gradient_start=&#8221;#2b87da&#8221; background_color_gradient_end=&#8221;#29c4a9&#8243; background_color_gradient_type=&#8221;linear&#8221; background_color_gradient_direction=&#8221;180deg&#8221; background_color_gradient_direction_radial=&#8221;center&#8221; background_color_gradient_start_position=&#8221;0%&#8221; background_color_gradient_end_position=&#8221;100%&#8221; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221; background_size=&#8221;cover&#8221; background_position=&#8221;center&#8221; background_repeat=&#8221;no-repeat&#8221; background_blend=&#8221;normal&#8221; allow_player_pause=&#8221;off&#8221; custom_css_main_element=&#8221;display:none;&#8221; \/][et_pb_accordion_item _builder_version=&#8221;3.0.78&#8243; title=&#8221;Define&#8221; use_background_color_gradient=&#8221;off&#8221; background_color_gradient_start=&#8221;#2b87da&#8221; background_color_gradient_end=&#8221;#29c4a9&#8243; background_color_gradient_type=&#8221;linear&#8221; background_color_gradient_direction=&#8221;180deg&#8221; background_color_gradient_direction_radial=&#8221;center&#8221; background_color_gradient_start_position=&#8221;0%&#8221; background_color_gradient_end_position=&#8221;100%&#8221; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221; background_size=&#8221;cover&#8221; background_position=&#8221;center&#8221; background_repeat=&#8221;no-repeat&#8221; background_blend=&#8221;normal&#8221; allow_player_pause=&#8221;off&#8221;]<\/p>\n<ul>\n<li>Quality Function Deployment<\/li>\n<li>Cost of Quality Trend Analysis<\/li>\n<li>Cause-and-Effect Diagrams<\/li>\n<\/ul>\n<p>[\/et_pb_accordion_item][et_pb_accordion_item _builder_version=&#8221;3.0.78&#8243; title=&#8221;Measure&#8221; use_background_color_gradient=&#8221;off&#8221; background_color_gradient_start=&#8221;#2b87da&#8221; background_color_gradient_end=&#8221;#29c4a9&#8243; background_color_gradient_type=&#8221;linear&#8221; background_color_gradient_direction=&#8221;180deg&#8221; background_color_gradient_direction_radial=&#8221;center&#8221; background_color_gradient_start_position=&#8221;0%&#8221; background_color_gradient_end_position=&#8221;100%&#8221; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221; background_size=&#8221;cover&#8221; background_position=&#8221;center&#8221; background_repeat=&#8221;no-repeat&#8221; background_blend=&#8221;normal&#8221; allow_player_pause=&#8221;off&#8221;]<\/p>\n<ul>\n<li>Scatterplots<\/li>\n<li>Exploratory Plots<\/li>\n<li>Time Sequence Plots<\/li>\n<li>Gage Studies for Variables and Attributes<\/li>\n<li>Sample Size Determination<\/li>\n<\/ul>\n<p>[\/et_pb_accordion_item][et_pb_accordion_item _builder_version=&#8221;3.0.78&#8243; title=&#8221;Analyze&#8221; use_background_color_gradient=&#8221;off&#8221; background_color_gradient_start=&#8221;#2b87da&#8221; background_color_gradient_end=&#8221;#29c4a9&#8243; background_color_gradient_type=&#8221;linear&#8221; background_color_gradient_direction=&#8221;180deg&#8221; background_color_gradient_direction_radial=&#8221;center&#8221; background_color_gradient_start_position=&#8221;0%&#8221; background_color_gradient_end_position=&#8221;100%&#8221; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221; background_size=&#8221;cover&#8221; background_position=&#8221;center&#8221; background_repeat=&#8221;no-repeat&#8221; background_blend=&#8221;normal&#8221; allow_player_pause=&#8221;off&#8221;]<\/p>\n<ul>\n<li>One Variable Analysis<\/li>\n<li>Capability Analysis for Variables<\/li>\n<li>Capability Analysis for Attributes<\/li>\n<li>Multivariate Capability Analysis<\/li>\n<li>Distribution Fitting<\/li>\n<li>Two Sample Comparisons<\/li>\n<li>Multiple Sample Comparisons<\/li>\n<li>Comparison of Rates and Proportions<\/li>\n<li>Outlier Identification<\/li>\n<li>Multivariate Methods<\/li>\n<li>Reliability and Life Data Analysis<\/li>\n<\/ul>\n<p>[\/et_pb_accordion_item][et_pb_accordion_item _builder_version=&#8221;3.0.78&#8243; title=&#8221;Improve&#8221; use_background_color_gradient=&#8221;off&#8221; background_color_gradient_start=&#8221;#2b87da&#8221; background_color_gradient_end=&#8221;#29c4a9&#8243; background_color_gradient_type=&#8221;linear&#8221; background_color_gradient_direction=&#8221;180deg&#8221; background_color_gradient_direction_radial=&#8221;center&#8221; background_color_gradient_start_position=&#8221;0%&#8221; background_color_gradient_end_position=&#8221;100%&#8221; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221; background_size=&#8221;cover&#8221; background_position=&#8221;center&#8221; background_repeat=&#8221;no-repeat&#8221; background_blend=&#8221;normal&#8221; allow_player_pause=&#8221;off&#8221;]<\/p>\n<ul>\n<li>Regression Analysis for Measurement Data<\/li>\n<li>Regression Analysis for Attribute Data<\/li>\n<li>Life Data Regression<\/li>\n<li>Analysis of Variance<\/li>\n<li>Design of Experiments<\/li>\n<li>Screening, Response Surface, and Mixture Designs<\/li>\n<li>D-Optimal Designs<\/li>\n<li>Inner and Outer Arrays<\/li>\n<li>Designs for Categorical Variables<\/li>\n<li>Multiple Response Optimization<\/li>\n<\/ul>\n<p>[\/et_pb_accordion_item][et_pb_accordion_item _builder_version=&#8221;3.0.78&#8243; title=&#8221;Control&#8221; use_background_color_gradient=&#8221;off&#8221; background_color_gradient_start=&#8221;#2b87da&#8221; background_color_gradient_end=&#8221;#29c4a9&#8243; background_color_gradient_type=&#8221;linear&#8221; background_color_gradient_direction=&#8221;180deg&#8221; background_color_gradient_direction_radial=&#8221;center&#8221; background_color_gradient_start_position=&#8221;0%&#8221; background_color_gradient_end_position=&#8221;100%&#8221; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221; background_size=&#8221;cover&#8221; background_position=&#8221;center&#8221; background_repeat=&#8221;no-repeat&#8221; background_blend=&#8221;normal&#8221; allow_player_pause=&#8221;off&#8221;]<\/p>\n<ul>\n<li>Phase II Control Charts<\/li>\n<li>Multivariate Control Charts<\/li>\n<li>Acceptance Sampling<\/li>\n<li>Classification Methods<\/li>\n<\/ul>\n<p>[\/et_pb_accordion_item][et_pb_accordion_item _builder_version=&#8221;3.0.78&#8243; title=&#8221;Forecast&#8221; use_background_color_gradient=&#8221;off&#8221; background_color_gradient_start=&#8221;#2b87da&#8221; background_color_gradient_end=&#8221;#29c4a9&#8243; background_color_gradient_type=&#8221;linear&#8221; background_color_gradient_direction=&#8221;180deg&#8221; background_color_gradient_direction_radial=&#8221;center&#8221; background_color_gradient_start_position=&#8221;0%&#8221; background_color_gradient_end_position=&#8221;100%&#8221; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221; background_size=&#8221;cover&#8221; background_position=&#8221;center&#8221; background_repeat=&#8221;no-repeat&#8221; background_blend=&#8221;normal&#8221; allow_player_pause=&#8221;off&#8221;]<\/p>\n<ul>\n<li>Descriptive Time Series Methods<\/li>\n<li>Smoothing<\/li>\n<li>Seasonal Decomposition<\/li>\n<li>Forecasting<\/li>\n<\/ul>\n<p>[\/et_pb_accordion_item][et_pb_accordion_item _builder_version=&#8221;3.0.78&#8243; title=&#8221;SnapStats&#8221; use_background_color_gradient=&#8221;off&#8221; background_color_gradient_start=&#8221;#2b87da&#8221; background_color_gradient_end=&#8221;#29c4a9&#8243; background_color_gradient_type=&#8221;linear&#8221; background_color_gradient_direction=&#8221;180deg&#8221; background_color_gradient_direction_radial=&#8221;center&#8221; background_color_gradient_start_position=&#8221;0%&#8221; background_color_gradient_end_position=&#8221;100%&#8221; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221; background_size=&#8221;cover&#8221; background_position=&#8221;center&#8221; background_repeat=&#8221;no-repeat&#8221; background_blend=&#8221;normal&#8221; allow_player_pause=&#8221;off&#8221;]<\/p>\n<ul>\n<li>One Sample Analysis<\/li>\n<li>Two Sample Comparison<\/li>\n<li>Paired Sample Comparison<\/li>\n<li>Multiple Sample Comparison<\/li>\n<li>Curve Fitting<\/li>\n<li>Capability Assessment (Individuals)<\/li>\n<li>Capability Assessment (Grouped Data)<\/li>\n<li>Gage R&amp;R<\/li>\n<li>Automatic Forecasting<\/li>\n<\/ul>\n<p>[\/et_pb_accordion_item][et_pb_accordion_item _builder_version=&#8221;3.0.78&#8243; title=&#8221;Tools&#8221; use_background_color_gradient=&#8221;off&#8221; background_color_gradient_start=&#8221;#2b87da&#8221; background_color_gradient_end=&#8221;#29c4a9&#8243; background_color_gradient_type=&#8221;linear&#8221; background_color_gradient_direction=&#8221;180deg&#8221; background_color_gradient_direction_radial=&#8221;center&#8221; background_color_gradient_start_position=&#8221;0%&#8221; background_color_gradient_end_position=&#8221;100%&#8221; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221; background_size=&#8221;cover&#8221; background_position=&#8221;center&#8221; background_repeat=&#8221;no-repeat&#8221; background_blend=&#8221;normal&#8221; allow_player_pause=&#8221;off&#8221;]<\/p>\n<ul>\n<li>Expression Evaluator<\/li>\n<li>Six Sigma Calculator<\/li>\n<li>Probability Distributions<\/li>\n<li>Interpolation<\/li>\n<li>Surface and Contour Plots<\/li>\n<\/ul>\n<p>[\/et_pb_accordion_item] [\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section bb_built=&#8221;1&#8243; background_color=&#8221;#e2001a&#8221; _builder_version=&#8221;3.0.78&#8243; custom_padding=&#8221;54px|0px|52px|0px&#8221; module_class=&#8221;abschluss&#8221;][et_pb_row _builder_version=&#8221;3.0.78&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; _i=&#8221;0&#8243; _address=&#8221;4.0&#8243;][et_pb_column type=&#8221;4_4&#8243;][et_pb_text _builder_version=&#8221;3.0.78&#8243; background_layout=&#8221;dark&#8221; border_style=&#8221;solid&#8221; text_orientation=&#8221;center&#8221; module_alignment=&#8221;center&#8221;]<\/p>\n<p>Contact persons<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;3.0.78&#8243;][et_pb_column type=&#8221;1_3&#8243;][et_pb_text _builder_version=&#8221;3.0.78&#8243; background_layout=&#8221;light&#8221; border_style=&#8221;solid&#8221;]<\/p>\n<p><b>Ihre Ansprechpartner<br \/>\nf\u00fcr Versicherungsthemen, APL und Projekte<\/b><br \/>\n<a class=\"intern_red\" title=\"Opens window for sending email\" href=\"mailto:axel.holzmueller@dpc-software.de\">Axel Holzm\u00fcller<\/a><br \/>\n<a class=\"intern_red\" title=\"Opens window for sending email\" href=\"mailto:alp.atayalp@dpc-software.de\">Alp Atayalp<\/a><br \/>\nTel\u00a0<a href=\"tel+492122606650\">(0)212 \/ 2 60 66-50<\/a><\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243;][et_pb_text _builder_version=&#8221;3.0.78&#8243;]<\/p>\n<p><b>Ihr Ansprechpartner<br \/>\nf\u00fcr Enterprise Software<\/b><br \/>\n<a class=\"intern_red\" title=\"Opens window for sending email\" href=\"mailto:alp.atayalp@dpc-software.de\">Alp Atayalp<\/a><br \/>\nTel <a href=\"+492122606626\"> (0)212 \/ 2 60 66-26<\/a><\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243;][et_pb_text _builder_version=&#8221;3.0.78&#8243;]<\/p>\n<p><b>Allgemeine Fragen<\/b><br \/>\nrichten Sie bitte an<br \/>\n<a class=\"intern_red\" title=\"Opens window for sending email\" href=\"mailto:projekte@dpc-software.de\">projekte@dpc-software.de<\/a><br \/>\nTel <a href=\"+49212260660\"> (0)212 \/ 2 60 66-0<\/a><br \/>\nfax +49 (0)212 \/ 2 60 66-66<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Statgraphics Centurion &#8211; Six Sigma-Menu STATGRAPHICS is used especially in Six Sigma applications The integrated Six Sigma menu is designed according to the well-known Six Sigma DMAIC system. It also contains menu items for further procedures and tools. Do you need to analyse complex issues? STATGRAPHICS has the tools to describe, measure, analyze, improve and control various processes using statistical methods. Learn more, how to integrate STATGRAPHICS into your Six Sigma application, also compare the features of STATGRAPHICS. If the quality of your products and services depends on the joint properties of multiple variables, you may also want to check out for Multivariate Six Sigma. Quality Function Deployment Cost of Quality Trend Analysis Cause-and-Effect Diagrams Scatterplots Exploratory Plots Time Sequence Plots Gage Studies for Variables and Attributes Sample Size Determination One Variable Analysis Capability Analysis for Variables Capability Analysis for Attributes Multivariate Capability Analysis Distribution Fitting Two Sample Comparisons Multiple Sample Comparisons Comparison of Rates and Proportions Outlier Identification Multivariate Methods Reliability and Life Data Analysis Regression Analysis for Measurement Data Regression Analysis for Attribute Data Life Data Regression Analysis of Variance Design of Experiments Screening, Response Surface, and Mixture Designs D-Optimal Designs Inner and Outer Arrays Designs for Categorical [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1129,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"class_list":["post-1186","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>STATGRAPHICS Centurion - Six Sigma-Men\u00fc | DPC Statistiksoftware<\/title>\n<meta name=\"description\" content=\"STATGRAPHICS wird besonders gern im Six Sigma-Umfeld verwendet. 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