Process Capability Analysis for New Product Introduction in Multi-Stage Production Lines: A Literature Review

New product introduction (NPI) in multi-stage manufacturing environments is a critical challenge for modern industry, demanding robust quality assurance, process stability, and the ability to minimize defects and costs from the outset. Process capability analysis (PCA) provides a statistical foundation for evaluating whether production processes can consistently meet specification limits. However, the application of PCA to NPI in multi-stage systems is complex due to variation propagation, data limitations, and process instability. This paper reviews the scholarly literature on PCA in the context of NPI for multi-stage production lines, synthesizing methodologies, key challenges, and best practices. The review highlights the importance of stage-wise capability assessment, the management of variation, the integration of advanced statistical and digital tools, and the need for continuous improvement. Recommendations for practitioners and future research directions are provided.

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Publication Details

Journal
Journal of Advances in Developmental Research
Published
2025-08-17
DOI
https://doi.org/10.71097/ijaidr.v16.i2.1534
Primary Topic
Manufacturing Process and Optimization
Type
article
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article

Process Capability Analysis for New Product Introduction in Multi-Stage Production Lines: A Literature Review

Nishchay Selot -
Journal of Advances in Developmental Research
Manufacturing Process and Optimization
article

Process Capability Analysis for New Product Introduction in Multi-Stage Production Lines: A Literature Review

Nishchay Selot -
article en

Abstract

New product introduction (NPI) in multi-stage manufacturing environments is a critical challenge for modern industry, demanding robust quality assurance, process stability, and the ability to minimize defects and costs from the outset. Process capability analysis (PCA) provides a statistical foundation for evaluating whether production processes can consistently meet specification limits. However, the application of PCA to NPI in multi-stage systems is complex due to variation propagation, data limitations, and process instability. This paper reviews the scholarly literature on PCA in the context of NPI for multi-stage production lines, synthesizing methodologies, key challenges, and best practices. The review highlights the importance of stage-wise capability assessment, the management of variation, the integration of advanced statistical and digital tools, and the need for continuous improvement. Recommendations for practitioners and future research directions are provided.

Journal of Advances in Developmental ResearchVol. 16(2)
Openalex Percentile: Top 67%
Manufacturing Process and Optimization
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