Production planning in the building materials and semi-finished products sector requires flexibility

Manufacturers of building materials and semi-finished products operate in a dynamic market where production, logistics, and construction projects are closely intertwined. Demand is influenced by seasonal factors, project schedules, and economic trends. At the same time, production lines must be utilized to their full potential, and customers must receive their orders on time.

Whether you manufacture concrete products, prefabricated components, steel sections, insulation materials, wood products, or other semi-finished goods, efficient production planning is essential to remaining competitive.

Many companies still plan their production using ERP systems or Excel. While this provides a solid foundation, it makes it difficult to respond quickly when a project schedule changes, a machine breaks down, or raw materials become available later than expected. As a result, adjusting the schedule takes a lot of time, and it’s hard to anticipate the consequences of changes in advance.

As a result, more and more manufacturers are opting for smart production planning using artificial intelligence and a digital twin.

Why Traditional Production Planning Is No Longer Enough

ERP systems are excellent at tracking orders, inventory, and production data. However, calculating the optimal production schedule often still depends on the experience of planners.

In doing so, they must constantly take into account:

• available production capacity;
• construction project delivery data;
• availability of raw materials;
• changeover times;
• staff scheduling;
• maintenance;
• inventory levels;
• transportation planning.

As the number of products, production orders, and constraints increases, it becomes increasingly difficult to manually create the best schedule.

AI calculates the optimal production schedule

Artificial Intelligence analyzes millions of possible schedules and automatically selects the one that best aligns with your organization’s objectives.

In doing so, AI takes into account, among other things:

• machine capacity;
• staff availability;
• delivery times;
• production sequences;
• changeover times;
• availability of raw materials;
• maintenance;
• energy consumption;
• logistical constraints.

This results in a production schedule that is not only efficient but also practical to implement.

Production Scheduling and APS for Building Materials and Semi-Finished Products

Within the industry, in addition to “production planning,” there are also many searches for terms such as “production scheduling,” “production schedule,” and “Advanced Planning & Scheduling (APS).” While production planning determines which orders are to be produced, production scheduling focuses on the optimal sequence of production orders, machines, and available capacity.

A modern APS system automatically calculates an optimal production schedule, taking into account, among other things:

• project deadlines;
• machine capacity;
• changeover times;
• availability of raw materials;
• staff scheduling;
• maintenance;
• transportation planning;
• inventory levels.

PlanWisely combines the power of APS with artificial intelligence and a digital twin. This not only creates an optimal production schedule, but also allows you to simulate various planning scenarios before changes are actually implemented.

Simulate different scenarios using a Digital Twin

A Digital Twin allows you to create a digital copy of your production environment. This enables you to test alternative schedules without putting actual production at risk.

For example:

• What happens if a key production line goes down?
• How does a rush order affect other customers?
• Is it cost-effective to increase production with an evening shift?
• What happens if raw materials are delivered late?
• Which schedule makes the best use of the available capacity?

By running through various scenarios in advance, you can make more informed decisions.

Specific challenges in the production of building materials and semi-finished products

Manufacturers of building materials and semi-finished products face planning challenges that differ significantly from those of many other manufacturing companies. Production, logistics, and project planning must be continuously coordinated.

Project-Based Production and Deliveries

Many building materials and semi-finished products are manufactured for specific construction projects with fixed completion dates. When a project is delayed or accelerated, production schedules must be able to be adjusted immediately. Flexible scheduling prevents both unnecessary inventory and late deliveries.

Wide variety of products

The industry often offers a wide range of products and variants. These include concrete products, precast elements, steel sections, roofing materials, facade systems, and insulation materials in various sizes and designs. By choosing the right production sequence, changeover times are minimized and production capacity remains fully utilized.

Availability of raw materials

Raw materials such as cement, sand, steel, wood, and insulation materials are not always available when needed. Delivery issues can directly impact scheduling. Smart production planning automatically takes material availability into account and helps prevent downtime.

Alignment between Production and Logistics

For building materials and semi-finished products, production is closely linked to transportation and delivery schedules at the construction site. Producing too early results in additional storage costs, while producing too late can delay construction projects. Effective production planning therefore ensures that production and logistics are optimally coordinated.

Why a Digital Twin Adds Significant Value to This Sector in Particular

In the production of building materials and semi-finished products, even minor changes can have major consequences for the entire schedule. A delayed delivery of raw materials, a breakdown, or a change in the project schedule often affects multiple production orders.

With a Digital Twin, you can simulate these situations in advance. This allows you to immediately see which schedule delivers the best performance without disrupting actual production.

The Benefits of AI-Powered Production Planning

Manufacturers of building materials and semi-finished products produce, among other things:

• greater delivery reliability;
• better utilization of machinery;
• less changeover time;
• respond more quickly to project changes;
• more efficient use of staff;
• less manual planning;
• better coordination between production and logistics;
• greater insight into alternative scenarios.

PlanWisely: AI-powered production planning for building materials and semi-finished products

PlanWisely combines artificial intelligence with a digital twin to make production planning smarter, faster, and more reliable.

Instead of manually calculating different schedules, PlanWisely automatically calculates the optimal schedule based on the current situation. Thanks to the Digital Twin, you can simulate alternative scenarios and immediately see which option yields the best result.

This allows you to gain better control over complex production processes, make optimal use of available capacity, and respond more quickly to changes in projects, deliveries, or production.

Curious about how AI-powered production planning can help your organization? Contact us for a demonstration and discover what a Digital Twin can do for the production of building materials and semi-finished products.