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Statistical process control (SPC) provides a methodology to distinguish quality problems due to common and specific causes. While it carries profound managerial implications, its theoretical foundations are vague. An analysis of the literature reveals that it is based on assumptions of production processes consisting of identical repetition in closed or closable systems. Where these assumptions do not hold, SPC cannot be applied directly. The applicability of SPC in non-repetitive processes and open systems, non-routine processes and project-based businesses is examined. Guidelines for adjusting the logic of common and specific causes for project-based businesses are proposed.
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Stored only when both papers are in the corpus — 7 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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