Wertschöpfungsprozess

What is a value-adding process?

A value-adding process is a clearly delineated workflow that directly contributes to the creation of a service or product. Unlike supporting activities such as administration or reporting, it changes the state of an object – an item, a shipment or an order – in a way for which a customer or internal recipient is willing to pay. Typical examples in intralogistics include goods receipt, putaway, picking, packing, labeling and shipping.

Every value-adding process can be described by four elements: the input (e.g. an incoming order or raw material), the output (e.g. a shipment ready for dispatch), the required resources (personnel, space, technology) and metrics by which performance and quality can be assessed – such as throughput time, error rate or unit output.

Value-adding processes in practice

In warehouse planning, process definition serves as the starting point for virtually all operational decisions. Only once a process is fully described can meaningful KPIs be collected, bottlenecks identified and automation potential evaluated. A business case for an automated small-parts warehouse or an autonomous guided vehicle system always relies on a prior analysis of the relevant value-adding steps – including current costs, error rates and volumes.

Lean methods such as value stream mapping make value-adding processes visible and help identify and reduce non-value-adding activities – waiting, searching, unnecessary transport. This approach is vendor-independent and can be applied equally to manual and automated environments.

In procurement and tender management, a clear process definition enables comparable service specifications. Service level agreements and pricing models – such as a price per pick line – can only be designed fairly if the underlying process is measurable and described in a consistent manner.

Key considerations for analysis and design

• Granularity: Processes can be described at different levels – from the overall workflow down to individual handling steps. For control purposes, a medium level of detail is often sufficient; automation decisions require a more granular view.
• Measurability: Without defined metrics, a process cannot be managed. Which KPI is relevant depends on the objective – speed, quality and cost cannot all be maximized simultaneously.
• Interfaces: Value-adding processes rarely end at a departmental boundary. The handover points between goods receipt, warehousing and shipping are frequently sources of errors and delays.
• Documentation: Transparent process documentation is a prerequisite for training, audits and the implementation of new systems such as WMS or ERP.