Flexible man-man motivation performance management system for Industry 4.0
Bibliographic record
Abstract
Many companies are oriented on the 4th industrial revolution, they solve daily a lot of new working situation in management and organization of own production processes. The purpose of this paper Is to present methodological tool for motivation of own staff by implementation of Industry 4.0 concept. There is most important by this concept to manage and lead all employees for effective and profitable communication with e-technologies used in company. Important dates for the methodology proposal were taken from surveys realized in selected industrial companies (2014, 2015), oriented on the implementation of Industry 4.0 concept in 3 countries. According to results achieved, quantitative and qualitative analyses were realized and identified core motivation trends for effective e-processes. Presented results show key parameters and orientation strategies for flexible employees motivation, integrated in process teams in the area of production planning and organization. There is important to use various motivation strategies, dependent from the process – product – personality motivation of employees. This methodology proposal has the limitations in the small amount of companies that have implemented Industry 4.0 concept. If we are interesting on the new production management strategies in this environment, we should take positive and negative feedback from existing companies for effective new man-man strategies connected with e-processes. The research and results presented in this article open new ways of managerial strategies for production departments and industrial enterprises in the era of 4th industrial revolution. Many companies focus their attention solely on the implementation of e-technologies and e-processes, while still pay less attention to an equally important element – human. In practice will help this methodology to optimize man-man cooperation and teamwork for profitability of complex e-production systems and e-technologies. This paper extends managerial strategy configuration model highlighting new ways of man-man strategies that motivate company employees effective to cooperate with new-implemented e-technologies in according to achievement of optimal process performance.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".