{"id":388211,"date":"2026-06-09T21:17:04","date_gmt":"2026-06-09T19:17:04","guid":{"rendered":"https:\/\/www.bassetti-group.com\/?p=388211"},"modified":"2026-06-09T21:17:23","modified_gmt":"2026-06-09T19:17:23","slug":"ai-production-scheduling-mes-software","status":"publish","type":"post","link":"https:\/\/www.bassetti-group.com\/en\/ai-production-scheduling-mes-software\/","title":{"rendered":"AI Production Scheduling on the Shop Floor"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"388211\" class=\"elementor elementor-388211\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5b93505 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no\" data-id=\"5b93505\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-60e49a2\" data-id=\"60e49a2\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6720d33 elementor-widget elementor-widget-heading\" data-id=\"6720d33\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">AI Production Scheduling on the Shop Floor\n<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4bcfc6e elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no\" data-id=\"4bcfc6e\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-806ba57\" data-id=\"806ba57\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d07b182 elementor-widget elementor-widget-text-editor\" data-id=\"d07b182\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In Industry 4.0 environments operating under High-Mix, Low-Volume (HMLV) production models, the master schedule serves as the operational core of the manufacturing facility. Manual scheduling of operations, production orders, and multi-category resources requires significant administrative time and reduces overall shop floor agility.<\/span><\/p><p><span style=\"font-weight: 400;\">Traditional scheduling methodologies struggle to maintain accuracy within highly volatile production environments. Integrating Grounded Artificial Intelligence with a Manufacturing Execution System (MES) provides the technical framework necessary to convert operational complexity into a measurable competitive advantage through dynamic, real-time scheduling.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-31c0836 elementor-widget elementor-widget-spacer\" data-id=\"31c0836\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f90ac18 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no\" data-id=\"f90ac18\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7a43d73\" data-id=\"7a43d73\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-483f688 elementor-widget__width-inherit elementor-widget elementor-widget-image\" data-id=\"483f688\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1063\" height=\"595\" src=\"https:\/\/www.bassetti-group.com\/wp-content\/uploads\/2026\/06\/art_bassetti_1200x627_V2-79.jpg\" class=\"attachment-full size-full wp-image-388213\" alt=\"AI Production Scheduling Blog\" srcset=\"https:\/\/www.bassetti-group.com\/wp-content\/uploads\/2026\/06\/art_bassetti_1200x627_V2-79.jpg 1063w, https:\/\/www.bassetti-group.com\/wp-content\/uploads\/2026\/06\/art_bassetti_1200x627_V2-79-300x168.jpg 300w, https:\/\/www.bassetti-group.com\/wp-content\/uploads\/2026\/06\/art_bassetti_1200x627_V2-79-1024x573.jpg 1024w, https:\/\/www.bassetti-group.com\/wp-content\/uploads\/2026\/06\/art_bassetti_1200x627_V2-79-768x430.jpg 768w\" sizes=\"(max-width: 1063px) 100vw, 1063px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bec077d elementor-widget elementor-widget-heading\" data-id=\"bec077d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Constraints of Traditional Scheduling Methodologies<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-29680ca elementor-widget elementor-widget-text-editor\" data-id=\"29680ca\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Conventional production scheduling often relies on manual inputs and static tools, both of which face physical and cognitive limitations when managing modern facility constraints.<\/span><\/p><h3><b>Multi-Variable Resource Complexity<\/b><\/h3><p><span style=\"font-weight: 400;\">Industrial production scheduling requires the simultaneous alignment of multiple interdependent variables across distinct operational categories. To initiate a single Production Order (PO), a scheduler must balance:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Personnel Assets:<\/b><span style=\"font-weight: 400;\"> Operator availability, specialized technical certifications, and shift rotations.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Asset Capabilities:<\/b><span style=\"font-weight: 400;\"> Real-time machine capacity, actual production velocity, and preventative maintenance schedules.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Material Logistics:<\/b><span style=\"font-weight: 400;\"> Immediate raw material inventory levels, supplier lead times, and strategic batching parameters to minimize changeover times.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Temporal Constraints:<\/b><span style=\"font-weight: 400;\"> Accelerated delivery expectations paired with rigorous quality control and product customization requirements.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">Managing these millions of potential combinations exceeds human cognitive capacity. Without an intelligent software layer, human planners cannot optimize these variables concurrently.<\/span><\/p><h3><b>The Rigidity of Static Algorithms and Manual Tools<\/b><\/h3><p><span style=\"font-weight: 400;\">Legacy mathematical scheduling models and spreadsheets lack the flexibility required for modern shop floors. Managing production via manual tools creates an operational lag, rendering schedules obsolete immediately when disruptions occur, such as machine downtime or component shortages.<\/span><\/p><p><span style=\"font-weight: 400;\">Furthermore, static systems fail to incorporate shop-floor realities and specific tribal knowledge or unique process nuances. This disconnect frequently forces operators to bypass the official schedule to manage immediate bottlenecks. This decoupling causes a drop in global operational performance and eliminates executive-level visibility into true production capacity.<\/span><\/p><h3><b>Financial and Organizational Risk<\/b><\/h3><p><span style=\"font-weight: 400;\">When scheduling systems cannot adapt to live disruptions, operational efficiency decreases. The financial consequences are direct: persistent bottlenecks lower profit margins, forcing facilities to rely on expensive overtime and rushed shipping methods.<\/span><\/p><p><span style=\"font-weight: 400;\">Organizationally, operating in a constant state of reactive crisis management lowers team morale. When production teams spend their shifts reacting to system failures rather than executing a predictable plan, operational engagement decreases, which introduces quality risks into the manufacturing process.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a89c0c6 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no\" data-id=\"a89c0c6\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-673584a\" data-id=\"673584a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-900634b elementor-widget elementor-widget-heading\" data-id=\"900634b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Integrating AI and MES for Dynamic Scheduling\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-748d170 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"748d170\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Artificial Intelligence functions as an optimized extension of the scheduler&#8217;s capability when embedded natively into the MES architecture. This integration unifies raw shop-floor data with predictive processing capabilities.<\/span><\/p><h3><b>The MES as a Real-Time Data Foundation<\/b><\/h3><p><span style=\"font-weight: 400;\">Artificial intelligence requires continuous, high-fidelity data to generate accurate outputs. The MES serves as the centralized data repository, capturing live updates on inventory levels, PO progress, machine downtime, and labor availability. This continuous data stream transitions the scheduling process from theoretical planning to live operational orchestration.<\/span><\/p><p><span style=\"font-weight: 400;\">Unified data synchronization between shop-floor equipment, Enterprise Resource Planning (ERP) systems, and the MES establishes a single source of truth. Operators and plant managers look at identical operational data, ensuring alignment across all organizational tiers.<\/span><\/p><h3><b>Grounded AI vs. Generalist Models<\/b><\/h3><p><span style=\"font-weight: 400;\">Industrial AI systems differ fundamentally from Large Language Models (LLMs), which are prone to data hallucinations. Manufacturing optimization requires Grounded AI, a framework anchored in verified enterprise parameters. This system utilizes Machine Learning (ML) to analyze historical production patterns, learning from previous line efficiencies to increase future scheduling precision.<\/span><\/p><p><span style=\"font-weight: 400;\">For example, if a specific manufacturing step consistently requires 15 percent more time than historically budgeted, the Grounded AI automatically updates subsequent scheduling variations. This adjustment keeps the production model aligned with physical shop-floor performance and reduces structural planning errors.<\/span><\/p><h3><b>Finite Capacity Scheduling and Agentic Workflows<\/b><\/h3><p><span style=\"font-weight: 400;\">Unlike infinite capacity planning models that ignore real-world constraints, finite capacity scheduling respects actual asset boundaries. This methodology relies on agentic simulation modules to execute automated what-if scenarios, testing thousands of variable combinations in seconds to determine the mathematically optimal schedule.<\/span><\/p><p><span style=\"font-weight: 400;\">This architecture enables immediate operational adjustments:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Equipment Failures:<\/b><span style=\"font-weight: 400;\"> The AI instantly recalculates the critical path to minimize delivery delays.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Labor Shortages or Material Delays:<\/b><span style=\"font-weight: 400;\"> The system absorbs the new operational constraints and regenerates the optimal production sequence in real time.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bef3755 elementor-widget elementor-widget-spacer\" data-id=\"bef3755\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d0e3045 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no\" data-id=\"d0e3045\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-37cf8d3\" data-id=\"37cf8d3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ce755c5 elementor-widget elementor-widget-heading\" data-id=\"ce755c5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Human-Machine Collaboration and Operational Change Management<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aed140a elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"aed140a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Artificial intelligence assists production schedulers by providing comprehensive operational visibility rather than replacing human decision-making.<\/span><\/p><p><span style=\"font-weight: 400;\">The digital Gantt interface serves as the primary control mechanism. Schedulers retain the ability to perform manual drag-and-drop modifications to account for highly specific tribal knowledge or unmodeled floor constraints.<\/span><\/p><p><span style=\"font-weight: 400;\">Successful implementation requires a structured deployment methodology starting with a localized pilot project. Organizations should validate and tune the AI model on a single production line or department prior to scaling the software across the wider enterprise.<\/span><\/p><p><span style=\"font-weight: 400;\">This phased approach, combined with transparent data sourcing, builds operational trust. When operators see that the system generates achievable, realistic schedules, user adoption rates increase.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d37eaa5 elementor-widget elementor-widget-spacer\" data-id=\"d37eaa5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-bdfe6ca elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no\" data-id=\"bdfe6ca\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f176ebc\" data-id=\"f176ebc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b0133ff elementor-widget elementor-widget-heading\" data-id=\"b0133ff\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Measurable ROI: The Financial Case for Intelligent Scheduling<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8ebc7f9 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"8ebc7f9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Deploying an AI-driven scheduling solution represents a quantifiable improvement in economic performance. Moving from reactive crisis management to structured optimization converts the shop floor from an unpredictable cost center into a reliable driver of profitability.<\/span><\/p><h3><b>Productivity Gains and Operational Excellence<\/b><\/h3><p><span style=\"font-weight: 400;\">Intelligent scheduling improves material flow and asset utilization across several key metrics:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Resource Allocation:<\/b><span style=\"font-weight: 400;\"> Optimized mathematical models balance workloads across lines, preventing asset overload and eliminating idle time.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Bottleneck Mitigation:<\/b><span style=\"font-weight: 400;\"> Predictive analytics identify potential capacity saturation points before they disrupt operations, maintaining steady throughput.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>WIP Reduction:<\/b><span style=\"font-weight: 400;\"> Aligning material arrival with exact production steps reduces work-in-progress inventory and frees up floor space.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>OEE Optimization:<\/b><span style=\"font-weight: 400;\"> Grouping similar production runs minimizes unnecessary changeovers and micro-stoppages, directly increasing Overall Equipment Effectiveness.<\/span><\/li><\/ul><h3><b>Strategic Agility and Data-Driven Governance<\/b><\/h3><p><span style=\"font-weight: 400;\">Live what-if simulations replace intuitive estimations with empirical data, improving corporate decision-making and cross-departmental agility.<\/span><\/p><p><span style=\"font-weight: 400;\">For instance, if a high-value customer requests an expedited production order, schedulers can simulate the change immediately. The system calculates the downstream effects across all active orders, confirming feasibility and identifying delivery impacts before the company commits to the request.<\/span><\/p><p><span style=\"font-weight: 400;\">This integrated approach eliminates operational data silos. Production, sales, and human resources operate from a shared data foundation. If human resources updates personnel availability, the scheduling engine calculates the operational impact immediately, allowing sales teams to proactively communicate with clients regarding delivery timelines.<\/span><\/p><p><span style=\"font-weight: 400;\">This capacity to absorb volatility serves as an important commercial differentiator. Facilities that maintain delivery consistency during supply and labor disruptions capture market share from competitors tied to rigid spreadsheet models. Data from Gartner indicates that organizations utilizing predictive AI analytics report a 25 percent increase in project success rates, proving that algorithmic scheduling preserves facility profitability during external supply disruptions.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f3cd819 elementor-widget elementor-widget-spacer\" data-id=\"f3cd819\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-caf79e6 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no\" data-id=\"caf79e6\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-044d91f\" data-id=\"044d91f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5732593 elementor-widget elementor-widget-heading\" data-id=\"5732593\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Optimizing Shop Floor Efficiency with TEEXMA for MES\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fb2007 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"6fb2007\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Operating successfully within volatile Industry 4.0 environments requires advanced scheduling software. The <a href=\"https:\/\/www.bassetti-group.com\/en\/teexma-software-solutions\/teexma-for-mes-bassetti-en\/\">TEEXMA for MES<\/a> platform converts static scheduling into an agile, predictive orchestration engine built on the concept of augmented human capability.<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Contextualized, Grounded AI:<\/b><span style=\"font-weight: 400;\"> The scheduling module integrates directly with active shop-floor data parameters including machine status, labor certifications, and raw inventory to generate realistic, error-free schedules.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Agentic Simulation Power:<\/b><span style=\"font-weight: 400;\"> TEEXMA for MES continuously runs iterative simulations to isolate bottlenecks and deliver optimized production sequences.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>User-Centric Flexibility:<\/b><span style=\"font-weight: 400;\"> The intuitive Gantt interface preserves human oversight, allowing expert schedulers to easily apply manual adjustments alongside the system&#8217;s processing power.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">Implementing TEEXMA for MES introduces operational resilience, drives down work-in-progress inventory costs, and secures delivery reliability for global customer networks. This software transition shifts manufacturing facilities from reacting to floor disruptions to actively controlling them.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-edbd91a elementor-align-center elementor-mobile-align-justify elementor-widget elementor-widget-button\" data-id=\"edbd91a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-shrink\" href=\"https:\/\/www.bassetti-group.com\/en\/teexma-software-solutions\/teexma-for-mes-bassetti-en\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Book a Demo<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d1492ca elementor-widget elementor-widget-spacer\" data-id=\"d1492ca\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-4d753fbe e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"4d753fbe\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<aside class=\"elementor-element elementor-element-53f6a98e e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"53f6a98e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9cd5515 elementor-widget elementor-widget-spacer\" data-id=\"9cd5515\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-68fcf366 elementor-widget elementor-widget-heading\" data-id=\"68fcf366\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">FAQs<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-71455a79 elementor-widget elementor-widget-n-accordion\" data-id=\"71455a79\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;expanded&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1900\" class=\"e-n-accordion-item\" open>\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-1900\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> <h3>How does artificial intelligence improve production scheduling in MES software?<\/h3> <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<section role=\"region\" aria-labelledby=\"e-n-accordion-item-1900\" class=\"elementor-element elementor-element-21ae64b9 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"21ae64b9\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t<section role=\"region\" aria-labelledby=\"e-n-accordion-item-1900\" class=\"elementor-element elementor-element-5b01d04 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"5b01d04\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-492de782 elementor-widget elementor-widget-text-editor\" data-id=\"492de782\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Artificial intelligence processes real-time data from the factory floor to optimize complex, multi-variable scheduling constraints concurrently. Unlike static tools, grounded AI modules use machine learning to analyze historical production performance, equipment availability, labor certifications, and material logistics. The software runs iterative what-if simulations to establish a mathematically optimized finite capacity schedule, minimizing changeover times and preventing line bottlenecks.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/section>\n\t\t\t\t<\/section>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1901\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1901\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> <h3>What is the difference between grounded AI and traditional planning algorithms?<\/h3> <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<section role=\"region\" aria-labelledby=\"e-n-accordion-item-1901\" class=\"elementor-element elementor-element-28f90e42 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"28f90e42\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t<section role=\"region\" aria-labelledby=\"e-n-accordion-item-1901\" class=\"elementor-element elementor-element-56e3943d e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"56e3943d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6214cb51 elementor-widget elementor-widget-text-editor\" data-id=\"6214cb51\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Traditional manufacturing algorithms rely on infinite capacity assumptions and static inputs, making them incapable of adapting to sudden shop-floor disruptions. Grounded AI operates within verified enterprise parameters and integrates directly with live Manufacturing Execution System (MES) data streams. This anchoring ensures that the generated schedules reflect physical asset boundaries, actual operator speeds, and real-time inventory levels rather than theoretical models.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/section>\n\t\t\t\t<\/section>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1902\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1902\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> <h3>Can operators make manual changes to an AI-generated production schedule?<\/h3> <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1902\" class=\"elementor-element elementor-element-4edd77a4 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"4edd77a4\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1902\" class=\"elementor-element elementor-element-7720f71c e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"7720f71c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7708ddc5 elementor-widget elementor-widget-text-editor\" data-id=\"7708ddc5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The digital Gantt interface within TEEXMA for MES preserves complete human oversight, allowing production schedulers to perform manual drag-and-drop modifications. This collaborative software approach combines algorithmic processing power with human tribal knowledge. Schedulers use the automated engine to handle mass data optimization while maintaining final authority to adapt to unmodeled floor constraints.<\/span><\/p><h3 data-path-to-node=\"10\">\u00a0<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1903\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1903\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> <h3>What production metrics improve by integrating AI with an MES?<\/h3> <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<section role=\"region\" aria-labelledby=\"e-n-accordion-item-1903\" class=\"elementor-element elementor-element-56d6af8a e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"56d6af8a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t<section role=\"region\" aria-labelledby=\"e-n-accordion-item-1903\" class=\"elementor-element elementor-element-2454d4c7 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-id=\"2454d4c7\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-644c44ab elementor-widget elementor-widget-text-editor\" data-id=\"644c44ab\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Integrating intelligent scheduling within an MES directly impacts operational efficiency and financial margins across several key performance indicators. Facilities experience a reduction in Work-in-Progress (WIP) inventory costs by aligning material arrival with exact assembly steps. Additionally, Overall Equipment Effectiveness (OEE) increases through optimized batch sequencing that reduces tool changeover times, while predictive constraint matching mitigates delivery delays.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/section>\n\t\t\t\t<\/section>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/aside>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>AI Production Scheduling on the Shop Floor In Industry 4.0 environments operating under High-Mix, Low-Volume (HMLV) production models, the master schedule serves as the operational core of the manufacturing facility&#8230;.<\/p>\n","protected":false},"author":79,"featured_media":388213,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[10],"tags":[464],"class_list":["post-388211","post","type-post","status-publish","format-standard","has-post-thumbnail","category-blog-posts","tag-blog-post"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.bassetti-group.com\/en\/wp-json\/wp\/v2\/posts\/388211","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bassetti-group.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bassetti-group.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bassetti-group.com\/en\/wp-json\/wp\/v2\/users\/79"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bassetti-group.com\/en\/wp-json\/wp\/v2\/comments?post=388211"}],"version-history":[{"count":5,"href":"https:\/\/www.bassetti-group.com\/en\/wp-json\/wp\/v2\/posts\/388211\/revisions"}],"predecessor-version":[{"id":388221,"href":"https:\/\/www.bassetti-group.com\/en\/wp-json\/wp\/v2\/posts\/388211\/revisions\/388221"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bassetti-group.com\/en\/wp-json\/wp\/v2\/media\/388213"}],"wp:attachment":[{"href":"https:\/\/www.bassetti-group.com\/en\/wp-json\/wp\/v2\/media?parent=388211"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bassetti-group.com\/en\/wp-json\/wp\/v2\/categories?post=388211"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bassetti-group.com\/en\/wp-json\/wp\/v2\/tags?post=388211"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}