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Development of a Variant Process-Planning Tool: A Case Study

Paulo Ávila et al.

Quality Innovation Prosperity2025https://doi.org/10.12776/qip.v29i3.2265article
AJG 1
Weight
0.50

What the paper says

This study addresses the development of a variant process planning tool, following the Knowledge-Based Variant Process Planning methodology, applied in a case study and presents the gains achieved. Methodology/Approach: Case study supported by six steps: (1) Feature Analysis, (2) Knowledge Retrieval, (3) Inference, (4) Plan Adaptation, (5) Knowledge Update, and (6) Plan Validation/Optimisation.. Findings: The implementation of the Knowledge-Based Variant Process Planning tool led to significant improvements: planner time reduced by 70%, analyst workload by 90%, and process plan errors to 0%. Results show this approach significantly improves process planning in customised production. Research Limitation/Implication: The limitations are associated with the specificity of the case study problem – the electric engine production systems. Originality/Value of paper: This study helps fill the gap in case studies on the Variant Process Planning approach, specifically for electric engine production systems, paving the way for similar companies to adopt Knowledge-Based Variant Process Planning.

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https://doi.org/https://doi.org/10.12776/qip.v29i3.2265

Or copy a formatted citation

@article{paulo2025,
  title        = {{Development of a Variant Process-Planning Tool: A Case Study}},
  author       = {Paulo Ávila et al.},
  journal      = {Quality Innovation Prosperity},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.12776/qip.v29i3.2265},
}

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Development of a Variant Process-Planning Tool: A Case Study

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.