A person checks the production via a tablet

Smart Factory: Connected Production and Intelligent Intralogistics

A production environment where machines communicate with one another, material requirements are automatically identified, and processes are flexibly adapted: This is exactly where the Smart Factory comes in. Machines, products, IT systems, and intralogistics exchange data, thereby laying the foundation for more transparent and increasingly automated processes. This doesn’t just apply to manufacturing. Production logistics must keep pace as well. Materials, components, and load carriers must be available at the right place and the right time

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Industry 4.0

What Is a Smart Factory?

A smart factory is a digitally networked production environment in which machines, products, people, and logistics systems exchange data. Sensors, the Industrial Internet of Things, artificial intelligence, and digital twins make it possible to control production and material flow processes in a more transparent, flexible, and partially automated manner.

Industry 4.0 describes the overarching digital transformation process of industrial value creation. The Industry 4.0 platform highlights flexible and networked value creation systems as well as interoperability as key characteristics.

How does a smart factory work?

In a smart factory, machines, storage locations, containers, transport systems, and IT applications are interconnected. Sensors monitor, for example, machine status, inventory levels, or positions. The data is analyzed and used for further processes.

This allows a production system to recognize when material is needed. This triggers, for example, a replenishment order; the required material is made available and then transported to the production line.

What technologies are used in a smart factory?

Typical technologies include:

  • Sensors and the Industrial Internet of Things
  • Barcodes and RFID
  • Artificial intelligence
  • Digital twins
  • ERP, MES, and warehouse management systems
  • Smart Labels
  • Autonomous Transport Systems
  • Automated warehouse technology

Artificial intelligence can analyze production data and support tasks such as production planning, quality assurance, process optimization, and predictive maintenance. Fraunhofer now explicitly identifies AI and machine learning as key technologies for industrial applications in production and logistics.

What is a digital twin?

A digital twin is a digital representation of a machine, a product, or a production process. The virtual model is linked to data from the real-world environment.

This enables companies to monitor conditions, simulate changes, or identify maintenance needs early on. Existing systems can also be increasingly integrated into digitized production systems through sensor technology and IoT connections.

What are the benefits of a smart factory?

The key advantage lies not solely in digitalization. A smart factory is designed to help companies respond more quickly and flexibly to changes.

Possible benefits include:

  • flexible production of different variants
  • more cost-effective production of small batch sizes
  • greater transparency regarding machines and materials
  • fewer manual adjustments
  • Early detection of malfunctions
  • Optimized material inventories
  • Shorter search and transport times
  • Improved planning of maintenance work

The Industry 4.0 platform views data availability, connectivity, and flexible value-creation systems as central components of industrial transformation.

One crucial point is often underestimated: A flexible production machine is of little use if the required materials are not available on time.

What role does intralogistics play in the smart factory?

Intralogistics connects warehousing, production, assembly, and shipping. As manufacturing becomes increasingly flexible, the demands on internal material flow also rise.

Materials must be made available as needed. At the same time, inventory levels, walking distances, and floor space along the production line should be kept to a minimum.

BITO-Lagertechnik offers various solutions for production lines and production logistics, as well as for optimizing the internal material flow.

Providing Materials as Needed

One option for supplying production is the Kanban system. In this system, replenishment is controlled by actual consumption.

Flow racks also support clear material provision. Goods are restocked from one side and retrieved from the opposite side. This supports the FIFO principle and physically separates restocking from retrieval.

For the provision of components and C-parts, for example, flow racks can be combined with suitable container systems from BITO-Lagertechnik.

Digitizing Existing Shelving

A smart factory does not necessarily require completely new warehouse technology.

Existing flow racks, for example, can be upgraded with digital displays and smart labels. Pick-to-Light and Put-to-Light systems assist employees with picking and putting away. Information on material status or orders is available directly at the rack location.

BITO Storage Systems offers solutions for digitizing flow racks with Pick-to-Light and smart labels. This allows existing racking systems to be digitally upgraded without having to replace the entire system.

Automated Material Transport

Recurring transport routes between the warehouse and production can be automated.

For example, the LEO Locative driverless transport system from BITO-Lagertechnik transports containers within the production area. It navigates using optical lanes and markers, enabling it to connect different production stations.

This allows for a closer integration of material provision, transport, and the return of empty containers.

How Can an Existing Production Facility Become a Smart Factory?

A smart factory doesn’t have to be built from scratch. A step-by-step approach often makes sense, especially in existing production facilities.

1. Analyze the material flow

First, the following should be clarified:

  • Where do bottlenecks occur?
  • Where do material shortages occur regularly?
  • Where are there unnecessary walking distances?
  • Which inventory items are still checked manually?
  • Where do search times occur?
  • Which recurring transport tasks can be automated?

The focus should initially be on the process rather than on a specific technology.

2. Start with manageable processes

Suitable entry-level projects might include:

  • digital material requisition
  • container tracking
  • digital Kanban
  • Pick-to-Light
  • automated container transport
  • Digitization of existing flow racks

BITO Storage Technology bundles relevant applications in the field of digital intralogistics solutions. These include, among other things, intelligent racking, smart labels, container tracking, and solutions for automated processes.

3. Planning Production and Intralogistics Together

A common mistake is to optimize production machines and material supply independently of one another.

For example, if the cycle time of a production line is increased, sufficient material must also be available. Otherwise, the bottleneck simply shifts from the machine to the intralogistics system.

Production, warehouse technology, material staging, and internal transport should therefore be viewed as an integrated process.

What Are the Challenges?

Not every technically feasible automation solution is automatically economically viable.

Among the most important challenges are:

  • Integration of older machines
  • Different interfaces
  • Data quality and availability
  • IT and OT security
  • Capital costs
  • Employee training
  • Lack of process standards

The integration of existing equipment is particularly relevant. Fraunhofer demonstrates that IoT connections and smart components can also integrate existing machines into modern digital production networks.

The most important principle is therefore: Don’t start by asking which technology can be used. First, you should clarify which specific problem in the production or material flow needs to be solved.

Conclusion: The Smart Factory Doesn’t Start at the Machine

The smart factory connects production, data, and intralogistics. Sensors, AI, digital twins, and automated systems provide the technical foundation for this.

However, the full benefits are only realized when the material supply chain is functioning properly. Components must be available, inventory levels must remain transparent, and materials must be reliably transported between the warehouse and production areas.

For existing companies, a step-by-step approach is therefore often recommended: analyze processes, identify specific bottlenecks, digitize individual workflows, and then further integrate the systems.

BITO-Lagertechnik supports this effort with racking systems, containers, and digital and automated solutions for production logistics.

Frequently Asked Questions About the Smart Factory

What Is a Smart Factory?

A smart factory is a digitally networked production environment in which machines, products, people, and logistics systems exchange data. This allows processes to be managed more transparently, flexibly, and, in some cases, automatically.

What is the difference between Industry 4.0 and a Smart Factory?

Industry 4.0 describes the digital transformation of industrial value creation as a whole. The smart factory is the concrete implementation of this connectivity within the factory.

What technologies does a Smart Factory need?

Typical technologies include sensors, IIoT, AI, digital twins, RFID, barcodes, smart labels, ERP, MES, and warehouse management systems, as well as automated storage and transport systems.

What role does intralogistics play?

Intralogistics ensures that materials are made available and transported between the warehouse and production as needed. Digital inventory information, smart shelves, and automated transport systems link the flow of information with the flow of materials.

Can an existing factory be transformed into a smart factory?

Yes. Companies can digitize or automate individual processes step by step. Existing racks and equipment do not necessarily have to be completely replaced to do so.

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