Value Stream Design

The Way Towards a Lean Factory

A new standard for worldwide industry

There's always been much talk about lean management and value stream design, but very little profound information was available in writing. This has now changed. This book clearly differentiates and significantly expands the previous application range of value stream analyses. In addition, ten design guidelines provide practitioners with an explicit code of practice for the optimal redesign of production procedures. For the first time ever, a reliable, methodical path is leading towards a lean factory. The book at hand plausibly illustrates the production optimization approach well-proven in numerous projects of the Fraunhofer IPA Institute for Manufacturing Engineering and Automation Stuttgart with the aid of corresponding equations, descriptive illustrations and industrial examples.

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Value Stream Method

The optimization of production proceduresis a permanent task required for sustainable corporate competitiveness. Over the past few years, the value stream method has successfully been applied in many different industries.

Value Stream Analysis

The value stream analysis enables the systematic mapping of a production's current state and all its relevant parameters. The thus developed value stream depiction provides a well-arranged visualization of the entire production including its material and information. This enables waste to be clearly identified.
The result is a transparent factory.

Value Stream Design

With the aid of the well-proven ten design guidelines of value stream design, an optimized future state of the production is developed in a target-oriented manner. This leads to radically shortened lead times as well as significantly higher transparency in production control.
The result is a lean factory.

User

The value stream method is particularly suited for production managers, because it allows an optimization of the entire production process in a factory and thus enables the perfect alignment of the individual production processes.