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Methodology for bottleneck identification in a production system when implementing TOC

Author

Listed:
  • Urban Wieslaw

    (Bialystok University of Technology, Poland)

  • Rogowska Patrycja

    (Bialystok University of Technology, Poland)

Abstract

For TOC (Theory of Constraints) implementation in a production system, the determination of the system's bottleneck is a crucial step. Effective bottleneck identification allows setting priorities for the improvement of a production system. The article deals with a significant problem for the manufacturing industry related to the location of a bottleneck. The article aims for a detailed analysis of methods for bottleneck identification based on a comprehensive literature review and the design of a generalised methodology for bottleneck identification in the production system. The article uses two research methods, first, the combination of a narrative and scoping literature review, and second, the logical design. Several methods for bottleneck identification are reviewed and compared, finding some being similar, and others giving new insights into the evaluated production system. A methodology for bottleneck identification is proposed. It contains several detailed methods arranged in coherent steps, which are suggested to be followed when aiming for the recognition of a production system's bottleneck. The proposed methodology is expected to be helpful in the practical TOC implementation. The presented methodology for the identification of bottlenecks in a production system is a practical tool for managers and experts dealing with TOC. However, it is still a conceptual proposal that needs to be tested empirically. The proposed methodology for bottleneck identification is an original concept based on the current literature output. It contributes to the production management theory as a practical managerial tool.

Suggested Citation

  • Urban Wieslaw & Rogowska Patrycja, 2020. "Methodology for bottleneck identification in a production system when implementing TOC," Engineering Management in Production and Services, Sciendo, vol. 12(2), pages 74-82, June.
  • Handle: RePEc:vrs:ecoman:v:12:y:2020:i:2:p:74-82:n:5
    DOI: 10.2478/emj-2020-0012
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