AI in Production Planning & Scheduling: Between aspiration and reality
02. June 2026
AI in production planning is often positioned as the key to more accurate forecasts and automated decision-making. Yet the gap between ambition and reality remains significant. Incomplete data, missing alignment between planning and shopfloor execution, and insufficiently developed analytics frameworks continue to limit many initiatives. Only when these foundational elements are in place can AI deliver real value. But how do organizations move from isolated analyses to a truly learning, data-driven planning approach? This article provides a structured perspective.
Simulation of mobile robots (AGVs and AMRs): Why realistic planning is key to project success
06. May 2026
Why traditional planning methods reach their limits and how simulation makes the difference across all project phases. Learn how dynamic effects can be identified early and why realistic simulation is a decisive success factor for planning, sizing, and scaling mobile robot systems.
Production Planning & Control Software vs. Advanced Planning and Scheduling (APS): Which system is right for you?
23. March 2026
Production Planning & Control Software or Advanced Planning and Scheduling (APS) – two terms that sound similar but represent different planning approaches. While Production Planning & Control functionalities are still embedded in many ERP systems as part of operational production planning, these traditional MRP‑based methods quickly reach their limits in complex manufacturing environments. APS systems step in exactly at this point, offering capacity‑aware, realistic planning with significantly greater transparency on the shop floor. But which system is the best fit for your production reality? This article provides guidance.
The future of production planning: From monolithic systems to adaptive best‑of‑breed
20. January 2026
Production planning is facing increasing pressure from volatility, complexity, and conflicting objectives. The latest study by FIR at RWTH Aachen, developed with DUALIS, outlines how ERP, APS, and MES evolve into an integrated, data‑driven planning environment. It highlights key optimization gaps, the rising impact of automated decision logic, and the growing importance of high‑quality data. A concise research‑based outlook on what’s ahead.
How to turn your ERP into a production powerhouse: With APS as a productivity booster
22. October 2025
The article explains how an APS system closes the gaps of traditional ERP planning functions, enabling companies to check capacities realistically, plan delivery dates reliably, and respond more quickly to changes on the shop floor. By combining ERP, MES, and APS, it creates a continuous planning foundation that increases transparency and makes day‑to‑day production management noticeably easier.
Production planning in steel bridge construction: SCHACHTBAU NORDHAUSEN aligns space allocation with production planning
15. September 2025
Considering spatial constraints as an additional bottleneck in production control Production planning in steel bridge construction involves the detailed coordination and organization of individual production processes for steel structures, with a focus on identifying and managing bottlenecks. In addition to sequencing production steps, allocating resources, and ensuring the timely availability of materials, spatial constraints are
ATP & CTP checks in GANTTPLAN APS: Deliver with confidence! Strengthen your supply chain commitments. Plan with less stress!
17. July 2025
In today’s manufacturing landscape, the ability to make reliable delivery commitments is critical for customer satisfaction and maintaining a competitive edge. Two essential concepts that support this capability are ATP (Available-to-Promise) and CTP (Capable-to-Promise). These functions are core components of modern APS (Advanced Planning and Scheduling) systems, helping manufacturers determine realistic delivery dates based on material availability and production capacity.
Success Story in Mechanical and Plant Engineering: HOMAG optimizes assembly space and plans ahead with AREAPLAN
24. June 2025
At HOMAG’s Holzbronn site, where hundreds of woodworking machines are assembled each year, space is always at a premium. To move beyond the limitations of Excel-based planning, HOMAG introduced AREAPLAN - a digital tool that brings clarity, flexibility, and efficiency to assembly space management. The result? Smoother processes, better forecasting, and a smarter way to plan.
Success Story Automotive: WITTE Automotive centralizes and optimizes plant line planning
24. June 2025
How can a global automotive supplier efficiently plan production lines across multiple sites - while improving data quality and saving time? WITTE Automotive found the answer in AREAPLAN, the space management software from DUALIS. By centralizing layout planning and harmonizing its IT landscape, WITTE now manages nearly 50,000 m² of production space across six locations with greater transparency, consistency, and speed.
Success Story: How FILL optimized assembly space planning with AREAPLAN
23. June 2025
How do you efficiently plan the assembly of large, complex machines in limited factory space - while managing constantly changing project timelines? For FILL, a leading special-purpose machine manufacturer, the answer was clear: digitize the process. Discover how FILL partnered with DUALIS to implement AREAPLAN, a powerful space planning solution based on Visual Components, and transformed 30,000 m² of production space into a model of transparency, efficiency, and scalability.
VHF Tools reduces planning effort from two days to two hours with APS from DUALIS
06. May 2025
VHF Tools GmbH has significantly reduced its planning effort with GANTTPLAN: With the APS system from DUALIS, production planning is now completed in just two hours instead of two days. This substantial efficiency improvement enables faster and more cost-effective manufacturing.
AI in manufacturing: Separating fact from fiction – A look at modern optimization techniques
18. March 2025
From linear programming to heuristics, simulations, and machine learning: today's production planning and control hinge on efficient resource use and cost minimization. A variety of mathematical methods drive software-based optimization of production processes, offering powerful solutions for complex tasks in detailed scheduling. These tools complement each other, providing a comprehensive optimization strategy.
Success Story: Digital transformation in SMEs – Rudolf von Scheven on the path to a smart factory with GANTTPLAN
16. December 2024
Rudolf von Scheven GmbH has revolutionized its production planning through the use of GANTTPLAN and is on the path to becoming a Smart Factory. By digitalizing its production planning, the company has not only increased efficiency but also significantly improved flexibility and delivery reliability. Discover how innovative software solutions are transforming the SME sector—and the concrete advantages that result from it.
WAGO enhances production planning & scheduling with GANTTPLAN from DUALIS
06. November 2024
WAGO is elevating its production planning with the advanced GANTTPLAN APS from DUALIS! This innovative solution allows WAGO to fully automate order scheduling across multiple production sites, effortlessly managing the complexities of detailed capacity planning & scheduling. By integrating GANTTPLAN into their existing system, WAGO can now perform multiple daily scheduling sessions and dynamic optimizations, leading to more efficient processes and significant, sustainable reductions in production costs.
AI in Production Planning & Scheduling: Between aspiration and reality 02. June 2026 AI in production planning is often positioned as the key to more accurate forecasts and automated decision-making. Yet the gap between ambition and reality remains significant. Incomplete data, missing alignment between planning and shopfloor execution, and insufficiently developed analytics frameworks continue to limit many initiatives. Only when these foundational elements are in place can AI deliver real value. But how do organizations move from isolated analyses to a truly learning, data-driven planning approach? This article provides a structured perspective.read more
