Production System Design and Configuration Framework (PSDCF)

Designing coherent production systems requires combining transferable design knowledge with context-specific decisions. Existing approaches address goal–means relationships, design principles, reusable design knowledge, configuration, or interdependencies, but integrate these perspectives only to a limited extent. This paper therefore develops the Production System Design and Configuration Framework (PSDCF). It structures transferable design knowledge as a preconfiguration of a design logic and understands configuration as the context-specific concretization of deliberately retained design degrees of freedom. Vertical, horizontal, and contextual coherence serve as complementary assessment perspectives; the Production System Interaction Model (PSIM) additionally provides knowledge of causal effects for interdependent design decisions. Illustrative applications to Lean Production and selected configuration decisions demonstrate the framework's explanatory potential. The PSDCF has been developed and conceptually substantiated; systematic empirical evaluation remains a task for future research.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-27
DOI
https://doi.org/10.5281/zenodo.23688370
Primary Topic
Management and Optimization Techniques
Type
preprint
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preprint

Production System Design and Configuration Framework (PSDCF)

Markus Schneider
Zenodo (CERN European Organization for Nuclear Research)
Management and Optimization Techniques
preprint

Production System Design and Configuration Framework (PSDCF)

Markus Schneider
preprint en

Abstract

Designing coherent production systems requires combining transferable design knowledge with context-specific decisions. Existing approaches address goal–means relationships, design principles, reusable design knowledge, configuration, or interdependencies, but integrate these perspectives only to a limited extent. This paper therefore develops the Production System Design and Configuration Framework (PSDCF). It structures transferable design knowledge as a preconfiguration of a design logic and understands configuration as the context-specific concretization of deliberately retained design degrees of freedom. Vertical, horizontal, and contextual coherence serve as complementary assessment perspectives; the Production System Interaction Model (PSIM) additionally provides knowledge of causal effects for interdependent design decisions. Illustrative applications to Lean Production and selected configuration decisions demonstrate the framework's explanatory potential. The PSDCF has been developed and conceptually substantiated; systematic empirical evaluation remains a task for future research.

Zenodo (CERN European Organization for Nuclear Research)
University of Applied Sciences Landshut (DE)
Management and Optimization Techniques
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Production System Design and Configuration Framework (PSDCF) — Markus Schneider · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS