A recent customer project for a medium-sized metal-processing company in the Netherlands clearly demonstrates how strongly inefficient transport systems can impact competitiveness. The company struggled with rising operating costs, growing product variety and increasing international pressure. At the same time, historically developed structures led to redundant transport routes, long throughput times and a lack of transparency, all of which posed risks to profitability and delivery performance.
A particularly critical issue: transport frequencies were not derived from data but based on experience and ad-hoc decisions.
These challenges are widespread in the metal-processing industry. With increasing automation, digitalization and ever-smaller batch sizes, the strategic design of transport and handling systems becomes a key success factor. This article shows how modern, data-driven material-flow planning helps companies increase efficiency, reduce risks and make targeted investments decisions.
Why Material Flow Becomes a Core Competency
Industrial production is changing rapidly. Rising energy and labor costs, shorter lead times, volatile demand and increasingly complex product portfolios pose major challenges. At the same time, digitalization and Industry 4.0 create new opportunities for transparency and flexibility.
In this context, internal material flow is evolving from an operational support function into a strategic competitive factor.
Automated Guided Vehicles (AGVs), Autonomous Mobile Robots (AMRs) and flexible conveyor systems are becoming increasingly relevant. At the same time, companies are placing greater emphasis on Total Cost of Ownership (TCO).
The key is the integration of material-flow planning into overall factory-layout planning. Companies increasingly recognize that layout, transport frequencies and production concepts must be developed together.
Data-Driven Derivation of Transport Frequencies
A major success is the systematic derivation of transport requirements between processes. In practice, this typically involves several steps:
- Analysis of production programs and volumes
- Derivation of material flows based on value-stream and process analyses
- Simulation of variants and productions scenarios
- Consideration of fluctuations and growth
- Dimensioning of buffer and storage strategies
In the project, it became clear that the actual necessary transport frequency was up to 30% lower than originally assumed.
Redundant transports, inefficient batch sizes and historically grown layout had led to a significant overestimation.
The data-driven approach provided a reliable foundation for decisions and significantly reduced planning risks.
Profitability Analysis: Making Investment and Operating Costs Transparent
A central component of the project was the assessment of economic performance across the entire lifecycle. In addition to investment costs, all operating costs were analyzed.
Results:
- Up to 50% fewer transport systems required
- Around 40% lower investment costs
- Reduced operating costs due to lower labor and energy requirements
- Higher equipment availability and improved process stability
- Lower adaptation costs due to flexible system architecture
A particularly important aspect was long-term flexibility. Systems with low purchase prices may appear attractive at first but if they are difficult to adapt later, lifecycle costs increase substantially. Flexible systems, on the other hand, enable stable long-term development and contribute significantly to economic sustainability.
Opportunities, Risks and Challenges for Companies
The project made it clear that systematic transport-system design is much more than optimizing individual routes. It provides deep insight into the real material flow and increase a company´s ability to make strategic decisions.
Companies benefit not only from lower costs, but also from:
- More stable processes
- Higher transparency
- Significantly improved scalability
Key Opportunities of Modern Transport Planning
- Sustainable cost reduction through optimized flows, fewer transports and lower resource use
- Higher productivity thanks to stable, low-disruption processes
- Improved transparency in material flows and decision making
- Scalability for variant diversity and growth
- Contributions to sustainability and resource efficiency
However, introducing new transport systems is not without challenges. Many companies underestimate the organizational complexity. Often, reliable data is lacking and historically grown hinder objective decision-making. Investments must be evaluated under uncertainty and integrating new systems into existing IT landscapes can be difficult.
Typical Challenges Identified in Projects
- High complexity due to interdependencies between logistics, production, IT and layout
- Incomplete data requiring structured initial collection
- Investment risks when selecting new technologies
- Need for active change management
- Integration into existing IT and control systems
A critical success factor is employee involvement. New transport systems chance workflows and responsibilities. In the project, workshops, test operations and open communication transformed initial skepticism into support and ultimately into active participation
Success Factors in Transport-System Design
- Date-driven material-flow planning as a foundation for reliable decisions
- Flexible and scalable systems to safeguard economic efficiency
- Holistic analysis of Total Cost of Ownership
- Interdisciplinary collaboration across logistics, production, planning and IT
With these success factors, transport-system becomes a central lever for efficiency, adaptability and long-term competitiveness.
Outlook
Intra-logistics will continue to gain importance in the coming years. Automated and connected systems will provide greater transparency of workloads and material flows. Flexible solutions will improve companies’ ability to respond to market changes and growing product variety.
Companies that strategically align their material flow today secure long-term productivity, future viability and economic stability.