{"id":137822,"date":"2026-09-09T14:34:34","date_gmt":"2026-09-09T17:34:34","guid":{"rendered":"https:\/\/eyfsolutions.com\/?page_id=137822"},"modified":"2026-09-09T14:34:35","modified_gmt":"2026-09-09T17:34:35","slug":"inteligencia-artificial-6","status":"publish","type":"page","link":"https:\/\/eyfsolutions.com\/pt-br\/inteligencia-artificial-6\/","title":{"rendered":"Intelig\u00eancia Artificial"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row row_height_percent=&#8221;85&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;5&#8243; back_color=&#8221;color-wayh&#8221; back_image=&#8221;137212&#8243; parallax=&#8221;yes&#8221; overlay_color=&#8221;color-wayh&#8221; overlay_alpha=&#8221;15&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; enable_bottom_divider=&#8221;default&#8221; bottom_divider=&#8221;gradient&#8221; shape_bottom_h_use_pixel=&#8221;true&#8221; shape_bottom_height_percent=&#8221;75&#8243; shape_bottom_color=&#8221;color-jevc&#8221; shape_bottom_opacity=&#8221;30&#8243; shape_bottom_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;149439&#8243; back_color_type=&#8221;uncode-palette&#8221; shape_bottom_color_type=&#8221;uncode-palette&#8221; overlay_color_type=&#8221;uncode-palette&#8221; css=&#8221;.vc_custom_1787161935407{border-right-width: 0px !important;padding-right: 0px !important;padding-left: 0px !important;}&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;5\/6&#8243; uncode_shortcode_id=&#8221;772831&#8243;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221; uncode_shortcode_id=&#8221;593104&#8243;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;4&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;240896&#8243;][vc_single_image media=&#8221;137366&#8243; media_width_use_pixel=&#8221;yes&#8221; css_animation=&#8221;alpha-anim&#8221; uncode_shortcode_id=&#8221;311548&#8243; media_width_pixel=&#8221;280&#8243;][vc_custom_heading heading_semantic=&#8221;h1&#8243; text_size=&#8221;fontsize-210105&#8243; css_animation=&#8221;curtain&#8221; animation_speed=&#8221;1000&#8243; uncode_shortcode_id=&#8221;207927&#8243;]A dedicated statistical distribution fitting module for FlexSim[\/vc_custom_heading][vc_custom_heading text_size=&#8221;h5&#8243; text_weight=&#8221;400&#8243; text_height=&#8221;fontheight-357766&#8243; css_animation=&#8221;curtain&#8221; interval_animation=&#8221;100&#8243; uncode_shortcode_id=&#8221;210377&#8243;]Developed by EYF, FlexFit extends FlexSim with advanced data preparation, statistical distribution fitting, fit validation, and diagnostic tools to generate representative statistical inputs directly from historical datasets.[\/vc_custom_heading][vc_button size=&#8221;btn-lg&#8221; radius=&#8221;btn-round&#8221; text_skin=&#8221;yes&#8221; border_width=&#8221;0&#8243; scale_mobile=&#8221;no&#8221; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; uncode_shortcode_id=&#8221;202565&#8243;]Download FlexFit[\/vc_button][vc_empty_space empty_h=&#8221;5&#8243;][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=&#8221;1\/6&#8243;][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;0&#8243; bottom_padding=&#8221;2&#8243; back_color=&#8221;color-lxmt&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_use_pixel=&#8221;yes&#8221; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;step&#8221; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;478653&#8243; back_color_type=&#8221;uncode-palette&#8221; column_width_pixel=&#8221;1512&#8243;][vc_column column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;0&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;0&#8243; style=&#8221;dark&#8221; back_color=&#8221;color-lxmt&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;-5&#8243; shift_y_fixed=&#8221;yes&#8221; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;678872&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; row_padding=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; equal_height=&#8221;yes&#8221; gutter_size=&#8221;1&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221; uncode_shortcode_id=&#8221;377166&#8243;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;2&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;3&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;3&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;296812&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_icon icon=&#8221;fa fa-circle-check&#8221; size=&#8221;fa-2x&#8221; title=&#8221;Automated data preparation&#8221; uncode_shortcode_id=&#8221;176405&#8243;]Import historical datasets and automatically clean null, non-numeric, zero, and negative values before distribution fitting.[\/vc_icon][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;3&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;3&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;109330&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_icon icon=&#8221;fa fa-circle-check&#8221; size=&#8221;fa-2x&#8221; title=&#8221;Advanced distribution fitting&#8221; uncode_shortcode_id=&#8221;176777&#8243;]Evaluate multiple statistical distributions for each dataset and rank the results by goodness of fit to identify the most representative alternatives.[\/vc_icon][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;3&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;3&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;177866&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_icon icon=&#8221;fa fa-circle-check&#8221; size=&#8221;fa-2x&#8221; title=&#8221;Statistical fit diagnostics&#8221; uncode_shortcode_id=&#8221;206237&#8243;]Validate fitted distributions through detailed statistics, comparative visualization, fit scores, and six dedicated diagnostic charts.[\/vc_icon][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;6&#8243; bottom_padding=&#8221;7&#8243; back_color=&#8221;color-lxmt&#8221; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;147779&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;4&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;196024&#8243;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221; uncode_shortcode_id=&#8221;870065&#8243;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;157566&#8243;][uncode_flexbox direction=&#8221;column&#8221;][uncode_flexbox_inner direction=&#8221;column&#8221; gap=&#8221;18px&#8221;][vc_custom_heading text_size=&#8221;fontsize-210105&#8243; uncode_shortcode_id=&#8221;139145&#8243;]FlexFit[\/vc_custom_heading][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text uncode_shortcode_id=&#8221;464565&#8243;]<\/p>\n<p class=\"isSelectedEnd\">FlexFit is a complete Statistical Analysis module developed by EYF for FlexSim, designed to support data-driven statistical workflows across different industries and applications. It brings together data preparation, distribution fitting, validation, and comparison in a single integrated workflow.<\/p>\n<p class=\"isSelectedEnd\">The module processes one or more data files, treating each numeric column as an independent dataset. Before fitting, FlexFit automatically cleans the sample by identifying and removing null, non-numeric, zero, and negative values, providing visibility into the quality of the original data and the final sample used for statistical processing.<\/p>\n<p>For each valid dataset, FlexFit evaluates multiple statistical distributions and generates a ranked list based on goodness of fit. Users can inspect distribution parameters, compare fitted curves, review descriptive statistics, and copy the selected distribution in a format ready for use in FlexSim.[\/vc_column_text][\/uncode_flexbox_inner][\/uncode_flexbox][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;2&#8243; style=&#8221;dark&#8221; back_image=&#8221;137215&#8243; back_attachment=&#8221;scroll&#8221; back_position=&#8221;center center&#8221; overlay_color=&#8221;color-wayh&#8221; overlay_alpha=&#8221;10&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; animation_delay=&#8221;200&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;190554&#8243; 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override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;4&#8243; bottom_padding=&#8221;4&#8243; back_color=&#8221;color-lxmt&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_use_pixel=&#8221;yes&#8221; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;step&#8221; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;158562&#8243; back_color_type=&#8221;uncode-palette&#8221; column_width_pixel=&#8221;1512&#8243;][vc_column column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;0&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;0&#8243; style=&#8221;dark&#8221; back_color=&#8221;color-lxmt&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;-5&#8243; shift_y_fixed=&#8221;yes&#8221; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;678872&#8243; 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uncode_shortcode_id=&#8221;184244&#8243;]From historical datasets to FlexSim-ready distributions[\/vc_custom_heading][vc_column_text uncode_shortcode_id=&#8221;199552&#8243;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"0\" data-end=\"537\">FlexFit provides a structured workflow for importing historical data, cleaning samples, fitting statistical distributions, validating results, and selecting representative distributions for use in FlexSim.<\/p>\n<p>[\/vc_column_text][vc_single_image media=&#8221;137210&#8243; media_width_percent=&#8221;100&#8243; uncode_shortcode_id=&#8221;119074&#8243;][vc_button size=&#8221;btn-lg&#8221; radius=&#8221;btn-round&#8221; text_skin=&#8221;yes&#8221; border_width=&#8221;0&#8243; scale_mobile=&#8221;no&#8221; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; uncode_shortcode_id=&#8221;126844&#8243;]Download FlexFit[\/vc_button][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;5&#8243; top_padding=&#8221;6&#8243; bottom_padding=&#8221;4&#8243; back_color=&#8221;color-jevc&#8221; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;112892&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;4&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;188185&#8243;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221; uncode_shortcode_id=&#8221;870065&#8243;][vc_column_inner column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;669462&#8243;][uncode_flexbox direction=&#8221;column&#8221;][uncode_flexbox_inner direction=&#8221;column&#8221; gap=&#8221;18px&#8221;][vc_custom_heading text_color=&#8221;color-xsdn&#8221; text_size=&#8221;fontsize-155944&#8243; uncode_shortcode_id=&#8221;156183&#8243; text_color_type=&#8221;uncode-palette&#8221;]Native integration with FlexSim[\/vc_custom_heading][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text text_color=&#8221;color-lxmt&#8221; uncode_shortcode_id=&#8221;130313&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p class=\"isSelectedEnd\" style=\"text-align: center;\">FlexFit works directly within the FlexSim environment, extending its statistical capabilities with advanced data preparation, distribution fitting, validation, and diagnostic tools.<\/p>\n<p class=\"isSelectedEnd\">Users can process historical datasets, evaluate multiple statistical distributions, compare fitted results, and select the most representative distribution through a structured workflow designed specifically for FlexSim.<\/p>\n<p>Once the fitting process is complete, FlexFit generates the selected distribution and its parameters in a FlexSim-ready format, reducing manual configuration and creating a direct connection between historical data and the statistical inputs used in FlexSim.[\/vc_column_text][\/uncode_flexbox_inner][\/uncode_flexbox][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;79&#8243; override_padding=&#8221;yes&#8221; 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overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;2&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; uncode_shortcode_id=&#8221;149709&#8243;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;2&#8243; style=&#8221;light&#8221; back_color=&#8221;color-lxmt&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;193527&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_custom_heading heading_semantic=&#8221;h6&#8243; text_size=&#8221;h3&#8243; text_height=&#8221;fontheight-357766&#8243; sub_reduced=&#8221;yes&#8221; css_animation=&#8221;curtain&#8221; animation_speed=&#8221;1000&#8243; uncode_shortcode_id=&#8221;111441&#8243;]Integration capabilities include:[\/vc_custom_heading][vc_column_text text_color=&#8221;color-nhtu&#8221; uncode_shortcode_id=&#8221;166061&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<ul>\n<li data-section-id=\"1un75l7\" data-start=\"816\" data-end=\"847\">Native FlexSim 3D environment<\/li>\n<li data-section-id=\"7y25fn\" data-start=\"161\" data-end=\"192\">Advanced distribution fitting<\/li>\n<li data-section-id=\"fkqijm\" data-start=\"193\" data-end=\"223\">Automated data preprocessing<\/li>\n<li data-section-id=\"1d9yt4l\" data-start=\"224\" data-end=\"258\">Descriptive statistical analysis<\/li>\n<li data-section-id=\"d5fb7o\" data-start=\"259\" data-end=\"287\">Goodness-of-fit evaluation<\/li>\n<li data-section-id=\"k06vhn\" data-start=\"288\" data-end=\"323\">Advanced diagnostic visualization<\/li>\n<li data-section-id=\"o229ao\" data-start=\"324\" data-end=\"353\">Distribution fit comparison<\/li>\n<li data-section-id=\"10iw85d\" data-start=\"354\" data-end=\"388\">Statistical parameter estimation<\/li>\n<li data-section-id=\"1lp79du\" data-start=\"389\" data-end=\"412\">FlexSim-ready outputs<\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_empty_space empty_h=&#8221;2&#8243;][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;2&#8243; style=&#8221;light&#8221; back_color=&#8221;color-lxmt&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;144976&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_custom_heading heading_semantic=&#8221;h6&#8243; text_size=&#8221;h3&#8243; text_height=&#8221;fontheight-357766&#8243; sub_reduced=&#8221;yes&#8221; css_animation=&#8221;curtain&#8221; animation_speed=&#8221;1000&#8243; uncode_shortcode_id=&#8221;179278&#8243;]What this enables:[\/vc_custom_heading][vc_column_text text_color=&#8221;color-nhtu&#8221; uncode_shortcode_id=&#8221;134963&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<ul>\n<li data-section-id=\"atb68h\" data-start=\"442\" data-end=\"482\">More representative statistical curves<\/li>\n<li data-section-id=\"ovomyj\" data-start=\"483\" data-end=\"506\">Deeper fit validation<\/li>\n<li data-section-id=\"1b0cqbm\" data-start=\"507\" data-end=\"543\">Clear identification of deviations<\/li>\n<li data-section-id=\"15f8flo\" data-start=\"544\" data-end=\"576\">Faster distribution comparison<\/li>\n<li data-section-id=\"1mg40hu\" data-start=\"577\" data-end=\"614\">Greater confidence in fit selection<\/li>\n<li data-section-id=\"kwce9h\" data-start=\"615\" data-end=\"656\" data-is-last-node=\"\">Reliable statistical inputs for FlexSim<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;50&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;7&#8243; bottom_padding=&#8221;2&#8243; back_color=&#8221;color-gyho&#8221; parallax=&#8221;yes&#8221; overlay_color=&#8221;accent&#8221; overlay_alpha=&#8221;0&#8243; gutter_size=&#8221;100&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;ray-opacity&#8221; content_parallax=&#8221;0&#8243; style=&#8221;inherited&#8221; uncode_shortcode_id=&#8221;115654&#8243; back_color_type=&#8221;uncode-palette&#8221; overlay_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;100&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; zoom_width=&#8221;0&#8243; zoom_height=&#8221;0&#8243; width=&#8221;1\/1&#8243;][vc_custom_heading text_color=&#8221;color-jevc&#8221; heading_semantic=&#8221;h3&#8243; text_size=&#8221;fontsize-210105&#8243; css_animation=&#8221;curtain&#8221; interval_animation=&#8221;200&#8243; uncode_shortcode_id=&#8221;123689&#8243; text_color_type=&#8221;uncode-palette&#8221;]<span class=\"heading-text-highlight \" data-atts='{\"bg\":\"#606060\",\"height\":\"15%\",\"offset\":\"0.15em\",\"opacity\":\"0.25\",\"animated\":\"yes\"}'>FlexFit&#8217;s advanced statistical analysis capabilities<\/span>[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;40&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;1&#8243; back_color=&#8221;color-gyho&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;2&#8243; column_width_use_pixel=&#8221;yes&#8221; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;623054&#8243; column_width_pixel=&#8221;1512&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;3&#8243; style=&#8221;dark&#8221; back_color=&#8221;color-jevc&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;188217&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_custom_heading text_color=&#8221;color-xsdn&#8221; text_size=&#8221;custom&#8221; uncode_shortcode_id=&#8221;161030&#8243; text_color_type=&#8221;uncode-palette&#8221; heading_custom_size=&#8221;40&#8243;]Advanced statistical data processing[\/vc_custom_heading][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text text_color=&#8221;color-xsdn&#8221; uncode_shortcode_id=&#8221;840407&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"192\" data-end=\"362\">FlexFit provides a structured workflow for preparing historical data, evaluating multiple statistical distributions, and identifying the most representative fit for each dataset, generating statistical inputs ready for use in FlexSim.<\/p>\n<p>[\/vc_column_text][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text text_color=&#8221;color-xsdn&#8221; css_animation=&#8221;slight-anim&#8221; uncode_shortcode_id=&#8221;207804&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"192\" data-end=\"362\">Data preparation \u00b7 Descriptive statistics \u00b7 Distribution fitting \u00b7 Fit ranking \u00b7 FlexSim-ready outputs<\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; gutter_size=&#8221;3&#8243; back_image=&#8221;137226&#8243; back_position=&#8221;center center&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;571610&#8243; mobile_height=&#8221;33vh&#8221;][\/vc_column][\/vc_row][vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;40&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;1&#8243; back_color=&#8221;color-gyho&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;2&#8243; column_width_use_pixel=&#8221;yes&#8221; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;153637&#8243; column_width_pixel=&#8221;1512&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; gutter_size=&#8221;3&#8243; back_image=&#8221;137220&#8243; back_position=&#8221;center bottom&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;407482&#8243; mobile_height=&#8221;33vh&#8221;][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;3&#8243; style=&#8221;dark&#8221; back_color=&#8221;color-jevc&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;199294&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_custom_heading text_color=&#8221;color-xsdn&#8221; text_size=&#8221;custom&#8221; uncode_shortcode_id=&#8221;385791&#8243; text_color_type=&#8221;uncode-palette&#8221; heading_custom_size=&#8221;40&#8243;]Diagnostic charts[\/vc_custom_heading][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text text_color=&#8221;color-xsdn&#8221; uncode_shortcode_id=&#8221;104603&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"192\" data-end=\"362\">FlexFit provides six complementary diagnostic charts to evaluate distribution fit from different statistical perspectives, allowing users to visually assess density, frequencies, cumulative behavior, residuals, quantiles, and probabilities.<\/p>\n<p>[\/vc_column_text][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text text_color=&#8221;color-xsdn&#8221; css_animation=&#8221;slight-anim&#8221; uncode_shortcode_id=&#8221;471617&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"1264\" data-end=\"1416\">Histogram + KDE + PDF \u00b7 Frequency Comparison \u00b7 Empirical vs. Theoretical CDF \u00b7 CDF Difference \u00b7 Q-Q Plot \u00b7 P-P Plot<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;40&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;1&#8243; back_color=&#8221;color-gyho&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;2&#8243; column_width_use_pixel=&#8221;yes&#8221; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;188802&#8243; column_width_pixel=&#8221;1512&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;3&#8243; style=&#8221;dark&#8221; back_color=&#8221;color-jevc&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;221583&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_custom_heading text_color=&#8221;color-xsdn&#8221; text_size=&#8221;custom&#8221; uncode_shortcode_id=&#8221;856056&#8243; text_color_type=&#8221;uncode-palette&#8221; heading_custom_size=&#8221;40&#8243;]Summary panel[\/vc_custom_heading][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text text_color=&#8221;color-xsdn&#8221; uncode_shortcode_id=&#8221;893721&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"192\" data-end=\"362\">The Summary panel consolidates data quality indicators and descriptive statistics in a single view, providing visibility into the processed sample and its key statistical characteristics before distribution selection.<\/p>\n<p>[\/vc_column_text][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text text_color=&#8221;color-xsdn&#8221; css_animation=&#8221;slight-anim&#8221; uncode_shortcode_id=&#8221;140677&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"1264\" data-end=\"1416\">Data quality \u00b7 Valid observations \u00b7 Removed records \u00b7 Minimum and maximum \u00b7 Mean and median \u00b7 Standard deviation<\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; gutter_size=&#8221;3&#8243; back_image=&#8221;137213&#8243; back_position=&#8221;center bottom&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;334649&#8243; mobile_height=&#8221;33vh&#8221;][\/vc_column][\/vc_row][vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;40&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;1&#8243; back_color=&#8221;color-gyho&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;2&#8243; column_width_use_pixel=&#8221;yes&#8221; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;188802&#8243; column_width_pixel=&#8221;1512&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; gutter_size=&#8221;3&#8243; back_image=&#8221;137224&#8243; back_position=&#8221;center bottom&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;170242&#8243; mobile_height=&#8221;33vh&#8221;][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;3&#8243; style=&#8221;dark&#8221; back_color=&#8221;color-jevc&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;958280&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_custom_heading text_color=&#8221;color-xsdn&#8221; text_size=&#8221;custom&#8221; uncode_shortcode_id=&#8221;808948&#8243; text_color_type=&#8221;uncode-palette&#8221; heading_custom_size=&#8221;40&#8243;]Exporting the diagnostic dashboard[\/vc_custom_heading][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text text_color=&#8221;color-xsdn&#8221; uncode_shortcode_id=&#8221;193571&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"192\" data-end=\"362\">FlexFit exports the complete diagnostic dashboard, consolidating all six statistical charts into a structured layout for technical documentation, reporting, and result sharing.<\/p>\n<p>[\/vc_column_text][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text text_color=&#8221;color-xsdn&#8221; css_animation=&#8221;slight-anim&#8221; uncode_shortcode_id=&#8221;128803&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"2295\" data-end=\"2380\">Six-chart dashboard \u00b7 Dataset identification \u00b7 Report-ready output<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;40&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;7&#8243; back_color=&#8221;color-gyho&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;2&#8243; column_width_use_pixel=&#8221;yes&#8221; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;540486&#8243; column_width_pixel=&#8221;1512&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;3&#8243; style=&#8221;dark&#8221; back_color=&#8221;color-jevc&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;840697&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_custom_heading text_color=&#8221;color-xsdn&#8221; text_size=&#8221;custom&#8221; uncode_shortcode_id=&#8221;121741&#8243; text_color_type=&#8221;uncode-palette&#8221; heading_custom_size=&#8221;40&#8243;]How Refit works[\/vc_custom_heading][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text text_color=&#8221;color-xsdn&#8221; uncode_shortcode_id=&#8221;190894&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"192\" data-end=\"362\">FlexFit provides an additional validation step by selecting the three highest-ranked distributions, generating synthetic samples from their fitted parameters, and fitting them again to determine whether the new result improves the original fit.<\/p>\n<p>[\/vc_column_text][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text text_color=&#8221;color-xsdn&#8221; css_animation=&#8221;slight-anim&#8221; uncode_shortcode_id=&#8221;191722&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"2295\" data-end=\"2380\">Top-three distributions \u00b7 Synthetic samples \u00b7 Automatic refitting \u00b7 Fit comparison \u00b7 Best-result selection \u00b7 Additional validation<\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;justify&#8221; gutter_size=&#8221;3&#8243; back_image=&#8221;137225&#8243; back_position=&#8221;center bottom&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;xl&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;296741&#8243; mobile_height=&#8221;33vh&#8221;][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;50&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;0&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;5&#8243; back_color=&#8221;color-jevc&#8221; overlay_alpha=&#8221;98&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;136452&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_use_pixel=&#8221;yes&#8221; position_vertical=&#8221;middle&#8221; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;769792&#8243; column_width_pixel=&#8221;1000&#8243;][vc_row_inner][vc_column_inner column_width_use_pixel=&#8221;yes&#8221; position_vertical=&#8221;middle&#8221; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;bottom-t-top&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;394294&#8243; column_width_pixel=&#8221;900&#8243;][vc_custom_heading text_color=&#8221;accent&#8221; heading_semantic=&#8221;h4&#8243; text_size=&#8221;fontsize-160000&#8243; text_weight=&#8221;600&#8243; text_space=&#8221;fontspace-135905&#8243; uncode_shortcode_id=&#8221;207436&#8243; text_color_type=&#8221;uncode-palette&#8221;]FLEXFIT[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h1&#8243; text_size=&#8221;fontsize-155944&#8243; css_animation=&#8221;curtain&#8221; animation_speed=&#8221;1000&#8243; uncode_shortcode_id=&#8221;805605&#8243; subheading=&#8221;Download FlexFit and access advanced data preparation, statistical distribution fitting, fit validation, diagnostic visualization, and dedicated tools for generating more representative statistical inputs.&#8221;]Bring advanced statistical capabilities to your FlexSim simulations[\/vc_custom_heading][vc_column_text text_color=&#8221;color-wvjs&#8221; css_animation=&#8221;slight-anim&#8221; uncode_shortcode_id=&#8221;121765&#8243; text_color_type=&#8221;uncode-palette&#8221;]<a href=\"https:\/\/docs.flexfit.eyfsolutions.com\/\">Access the complete FlexFit documentation for detailed technical information.<\/a>[\/vc_column_text][vc_empty_space empty_h=&#8221;2&#8243;][vc_button radius=&#8221;btn-round&#8221; outline=&#8221;yes&#8221; custom_typo=&#8221;yes&#8221; font_family=&#8221;font-377884&#8243; font_weight=&#8221;400&#8243; text_transform=&#8221;uppercase&#8221; border_width=&#8221;0&#8243; display=&#8221;inline&#8221; link=&#8221;url:javascript%3Ahistory.back%28%29|&#8221; uncode_shortcode_id=&#8221;453592&#8243;]Download FlexFit[\/vc_button][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;3&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;5&#8243; back_color=&#8221;color-lxmt&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;281643&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;5&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;hg&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;212533&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;2&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221; uncode_shortcode_id=&#8221;413231&#8243;][vc_column_inner column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1600&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;506953&#8243;][vc_custom_heading text_color=&#8221;color-nhtu&#8221; heading_semantic=&#8221;h1&#8243; text_size=&#8221;fontsize-155944&#8243; css_animation=&#8221;curtain&#8221; animation_speed=&#8221;1000&#8243; uncode_shortcode_id=&#8221;193053&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p style=\"text-align: left;\">Improve your statistical workflows with FlexFit.<\/p>\n<p>[\/vc_custom_heading][vc_column_text text_color=&#8221;color-wayh&#8221; uncode_shortcode_id=&#8221;101742&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p style=\"text-align: center;\">Developed by EYF, FlexFit extends FlexSim with advanced capabilities for data preparation, distribution fitting, statistical validation, and diagnostic visualization. For any questions about FlexFit, its capabilities, installation, or how to apply it to your FlexSim simulations, contact our team.<\/p>\n<p>[\/vc_column_text][vc_custom_heading text_color=&#8221;color-nhtu&#8221; heading_semantic=&#8221;h1&#8243; text_size=&#8221;h3&#8243; css_animation=&#8221;curtain&#8221; animation_speed=&#8221;1000&#8243; uncode_shortcode_id=&#8221;508654&#8243; text_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<p style=\"text-align: center;\">+1 (645) 221-6090<\/p>\n<p>[\/vc_custom_heading][\/vc_column_inner][\/vc_row_inner][vc_empty_space empty_h=&#8221;1&#8243; medium_visibility=&#8221;yes&#8221; mobile_visibility=&#8221;yes&#8221;][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row row_height_percent=&#8221;85&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;5&#8243; back_color=&#8221;color-wayh&#8221; back_image=&#8221;137212&#8243; parallax=&#8221;yes&#8221; overlay_color=&#8221;color-wayh&#8221; overlay_alpha=&#8221;15&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; enable_bottom_divider=&#8221;default&#8221; bottom_divider=&#8221;gradient&#8221; shape_bottom_h_use_pixel=&#8221;true&#8221; shape_bottom_height_percent=&#8221;75&#8243; shape_bottom_color=&#8221;color-jevc&#8221; [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","_seopress_robots_follow":"","_seopress_robots_imageindex":"","_seopress_robots_snippet":"","_seopress_robots_primary_cat":"","_seopress_robots_breadcrumbs":"","_seopress_robots_freeze_modified_date":"","_seopress_robots_custom_modified_date":"","_seopress_robots_canonical":"","_seopress_social_fb_title":"","_seopress_social_fb_desc":"","_seopress_social_fb_img":"","_seopress_social_fb_img_attachment_id":0,"_seopress_social_fb_img_width":0,"_seopress_social_fb_img_height":0,"_seopress_social_twitter_title":"","_seopress_social_twitter_desc":"","_seopress_social_twitter_img":"","_seopress_social_twitter_img_attachment_id":0,"_seopress_social_twitter_img_width":0,"_seopress_social_twitter_img_height":0,"_seopress_redirections_value":"","_seopress_redirections_enabled":"","_seopress_redirections_enabled_regex":"","_seopress_redirections_logged_status":"both","_seopress_redirections_param":"","_seopress_redirections_type":301,"_seopress_analysis_target_kw":"","_seopress_news_disabled":"","_seopress_video_disabled":"","_seopress_video":[],"_seopress_pro_schemas_manual":[],"_seopress_pro_rich_snippets_disable_all":"","_seopress_pro_rich_snippets_disable":[],"_seopress_pro_schemas":[],"content-type":"","footnotes":""},"class_list":["post-137822","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/eyfsolutions.com\/pt-br\/wp-json\/wp\/v2\/pages\/137822","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eyfsolutions.com\/pt-br\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eyfsolutions.com\/pt-br\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eyfsolutions.com\/pt-br\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/eyfsolutions.com\/pt-br\/wp-json\/wp\/v2\/comments?post=137822"}],"version-history":[{"count":0,"href":"https:\/\/eyfsolutions.com\/pt-br\/wp-json\/wp\/v2\/pages\/137822\/revisions"}],"wp:attachment":[{"href":"https:\/\/eyfsolutions.com\/pt-br\/wp-json\/wp\/v2\/media?parent=137822"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}