-
- Examine how to test automation against actual product ranges, order profiles and peak operating conditions
- Understand how to assess exception handling, performance under reduced capacity and recovery after faults
- What evidence should engineering teams require before accepting a system for live operation?
-
- Explore how drive systems, regenerative braking, intelligent controls and equipment scheduling can reduce energy consumption.
- Understand how to measure energy use alongside throughput, utilisation and system availability.
- How can engineers identify efficiency improvements without creating new constraints or reducing operational performance?
-
- Examine how real-time location systems track totes, pallets and returnable containers across warehouses and production areas
- Understand how location accuracy, coverage, power requirements and system integration affect deployment
- How can location data reduce asset searches, misplaced containers and interruptions to material flow?
-
- Explore how driverless forklifts and autonomous pallet movers navigate warehouse aisles and transfer loads between processes.
- Understand the requirements for vehicle navigation, load handling, traffic management and interaction with pedestrians.
- How can autonomous pallet movement connect with existing forklifts, conveyors and warehouse control systems?
-
- Examine how automated warehouse systems handle fresh produce, chilled goods and other temperature-sensitive products with varying shapes, packaging and shelf lives.
- Understand the challenges of maintaining product quality, managing stock rotation and coordinating high-throughput picking across temperature-controlled environments.
- What lessons from fresh-food automation projects can help operators improve throughput, reduce waste and maintain reliable store replenishment?
-
- Explore how operators respond to equipment failures, software outages and loss of connectivity
- Compare fallback procedures, recovery priorities and the responsibilities of operators, integrators and maintenance teams
- How can businesses test recovery plans and restart automated operations safely while protecting service levels?
-
-
- Discover how sensor data, condition monitoring and analytics can identify emerging faults in motors, conveyors, robots and automated storage systems.
- Understand how maintenance teams can connect alerts to work orders, spare parts and planned maintenance windows.
- What data and performance measures are needed to distinguish useful early warnings from unnecessary alerts?
-
- Examine the cybersecurity risks affecting operational technology, connected equipment and industrial control networks.
- Explore practical approaches to network segmentation, access management, monitoring, patching and incident recovery.
- How can warehouse teams improve cyber resilience without compromising equipment availability or operational safety?
-
- Understand the distinct roles of warehouse management, execution and control systems within an automated operation.
- Examine how task prioritisation, equipment commands and real-time status updates should flow between systems.
- How can operators prevent control conflicts and ensure software and equipment respond consistently to changing conditions?
-
-
- Discover how barcode scanning, RFID, machine vision and dimensioning technologies capture accurate item and shipment data.
- Explore the technical challenges of reading damaged labels, variable packaging and fast-moving goods.
- How can reliable identification improve traceability while reducing errors and manual intervention?
-
- Compare shuttle-based systems, stacker cranes and other automated storage technologies for different warehouse requirements.
- Examine how storage density, retrieval rates, system availability and building constraints influence design.
- Which engineering trade-offs matter most when specifying an automated storage system?
-
- Explore how conveyors, sorters, lifts and goods-to-person systems can be configured to support different order profiles.
- Understand how layout, accumulation, buffering and control logic influence throughput and system reliability.
- How can operators identify the right balance between conventional materials handling and advanced automation?
-
- Examine how safety scanners, guarding, access controls and emergency-stop systems protect people in automated environments.
- Understand the engineering challenges of managing shared workspaces, changing layouts and interactions between equipment.
- How can safety be designed into an automation system without unnecessarily restricting operational performance?
-
- Explore how simulation models can test warehouse layouts, material flows, equipment capacity and operational scenarios.
- Understand how accurate input data and realistic assumptions influence the reliability of simulation results.
- How can teams identify bottlenecks and validate design decisions before committing to installation?
-
- Examine how 3D vision, gripping systems and AI models enable robots to pick products with different shapes, sizes and packaging.
- Understand the technical limits created by deformable items, reflective surfaces, occlusion and unpredictable product presentation.
- What needs to be tested to achieve reliable picking performance in real warehouse conditions?
-
-
- Explore how packaging, print-and-apply labelling, barcode scanning, dimensioning and sortation technologies work together.
- Understand how product variability, line balancing and exception handling influence throughput and accuracy.
- Where can better integration eliminate manual handling and prevent bottlenecks at despatch?
-
- Explore how AI agents could coordinate tasks, respond to disruptions and recommend or initiate operational actions.
- Understand the integration, permissions, monitoring and human-oversight requirements for deploying agentic systems.
- How can operators test autonomous decision-making while maintaining control, traceability and reliability?
-
- Examine how automated transport, kitting and replenishment systems connect warehouses with production lines
- Understand how sequencing, buffers and interfaces with warehouse and production systems influence reliable line-side delivery
- How can engineering teams accommodate product changes, urgent replenishment and equipment failures without interrupting production?
-
- Examine how AI can support demand forecasting, inventory decisions, workload planning and exception management.
- Understand the data, system integration and validation required to deploy AI in live warehouse environments.
- Which technical safeguards help teams move from promising pilots to dependable operational tools?
-
- Examine who owns interfaces, data quality and overall system performance when several technology suppliers are involved
- Compare practical lessons from commissioning, operator training and handover into live operations
- How should operators and suppliers resolve problems when individual systems work but the overall operation does not?
-
-
- Examine the implications of the EU Machinery Regulation for integrated systems involving robots, conveyors and automated equipment.
- Understand how risk assessment, technical documentation, safety responsibilities and system integration fit into project delivery.
- What should engineering teams address early to avoid compliance problems during commissioning and deployment?
-
- Explore how new robots, conveyors and automated equipment can connect with existing WMS, WCS and ERP environments.
- Understand the role of interfaces, middleware, data quality and phased commissioning in reducing implementation risk.
- How can engineering teams modernise an operational warehouse without replacing every existing system?
-
- Understand how VDA 5050 supports communication between mobile robots and a central fleet control system.
- Examine the practical challenges of interoperability, implementation, testing and multi-vendor integration.
- What should operators verify before expecting robots from different manufacturers to work together?
-
-
- Discover how orchestration software coordinates robots, conveyors, warehouse systems and human workflows in real time.
- Explore how task allocation, traffic management and dynamic routing affect overall system performance.
- What does it take to coordinate multiple technologies without creating disconnected automation islands?
-
- Examine how autonomous mobile robots and automated guided vehicles navigate, move goods and interact with existing operations.
- Understand the technical considerations behind fleet management, traffic control, charging and safety.
- How can mobile robotics be integrated into a busy warehouse without creating new bottlenecks?
-
- Explore how goods-to-person systems combine storage, retrieval and picking technologies to increase warehouse productivity.
- Understand how order profiles, throughput targets and available space influence system design.
- What should operators evaluate when choosing a solution that can scale with future demand?
){kind=logo}
){kind=logo}
){kind=logo}
)
Interesse an einer Ausstellung?
IntraLogisteX Düsseldorf wurde für wertvolle Geschäftsgespräche konzipiert und bringt Lösungsanbieter mit vorqualifizierten Entscheidungsträgern aus Handel, Produktion, Markenartikeln und Logistikdienstleistung zusammen.
Informieren Sie sich über eine Ausstellung und vernetzen Sie sich mit vorqualifizierten Einkäufern, die investitionsbereit sind.