A Combined VSM and Kaizen Approach for Sustainable Continuous Process Improvement
Bibliographic record
Abstract
The issues related to setup downtime, raw material waste, and the quality defects are inevitable in the flexographic printing business. To enable sustainable continuous process improvements within the printing process, lean manufacturing methodologies, such as Value Stream Mapping, (VSM), can be a competitive management approach. Therefore, this study explores how the systematic application of VSM in a flexographic printing process can foster further the process improvement when combined with other lean activities, such as, 5S, single minute exchange of die (SMED), and kaizen etc. To assess the contribution of this lean approach, the Overall Equipment Effectiveness, (OEE), and manufacturing costs are taken as performance metrics. The results demonstrate that when integrated with 5-why root cause analysis and kaizen, VSM improved OEE by 24.31% and reduced manufacturing costs from US$0.762 million to US$0.6 million. Hence, the significance of the proposed combined lean approach for continuous improvement is reached.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".