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Process Quality Improvements in Global Production Networks

In: Global Manufacturing Management

Author

Listed:
  • Rainer Silbernagel

    (Karlsruhe Institute of Technology (KIT))

  • Tobias Arndt

    (GAMI – Global Advanced Manufacturing Institute)

  • Sina Peukert

    (Karlsruhe Institute of Technology (KIT))

  • Gisela Lanza

    (Karlsruhe Institute of Technology (KIT))

Abstract

A key challenge for manufacturing companies today is to ensure overall process quality within their production network while working in globally distributed and dynamic environments. In this chapter, a description model to systematically analyze process quality across locations and identify improvement measures using a value stream-based approach is presented. In order to holistically increase process quality in the network, two evaluation procedures based on a hierarchical key performance indicator system are discussed. This method is especially useful in production networks, where certain products are manufactured in several steps across multiple plants.

Suggested Citation

  • Rainer Silbernagel & Tobias Arndt & Sina Peukert & Gisela Lanza, 2021. "Process Quality Improvements in Global Production Networks," Management for Professionals, in: Thomas Friedli & Gisela Lanza & Dominik Remling (ed.), Global Manufacturing Management, chapter 12, pages 167-177, Springer.
    • Handle: RePEc:spr:mgmchp:978-3-030-72740-6_12
    DOI: 10.1007/978-3-030-72740-6_12
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    Cited by:

    1. Diogo Rodrigues & Radu Godina & Pedro Espadinha da Cruz, 2021. "Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry," Sustainability, MDPI, vol. 13(24), pages 1-20, December.
    2. Razika Malek & Qing Yang, 2023. "Analyzing Interrelationships and Prioritizing Performance Indicators in Global Product Development: Application in the Chinese Renewable Energy Sector," Sustainability, MDPI, vol. 15(14), pages 1-26, July.

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