Benefits of Project Management at Lean Manufacturing Tools Implementation
Bibliographic record
Abstract
The given article is devoted to reviewing the features of projects focused on implementation of lean manufacturing tools at the industrial enterprises. The study purpose is the statement of need to implement transformations in the field of lean manufacturing introduction (Lean-transformations) in the form of projects. The article introduces a concept of lean production project (Lean-project), the particular projects possessing the special aspects to be taken into consideration in the course of their implementation at various enterprises. The article demonstrates the benefits of Lean-transformations at applying the methods of project management. The key distinction of such projects is their result to be received upon completion. The result of the investment projects completion is to put into place a product or a service. The result of Lean-projects implementation is the introduction of lean manufacturing tools at the industrial enterprises to consequently obtain cost-effectiveness and a number of competitive advantages. Thus, the investment projects and Lean-projects are different in their constituent elements the study of which will make possible to formulate a system view of lean manufacturing project implementation. The article in general is focused on combination of two potent methodological frameworks-Project Management and Lean Manufacturing, each of which provides a means of obtaining significant benefits at their expert implementation and use. Combination of these is urged to provide multiplicative effect in the course of putting into practice the transformations at the industrial enterprises. However, to achieve the due effect it is necessary to be guided by the peculiar features of lean manufacturing projects what will necessarily call forth the correction of lean manufacturing methodological framework and derogation from stringent requirements of Lean Thinking concept.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".