Safety of Machinery and Special Scheme of Inspection’s Requirement towards Industry Competitiveness in Malaysia
Bibliographic record
Abstract
The amendment of the Factories and Machinery Act 1967 (FMA) in 2006, with the inclusion of the new provision on special scheme of inspection takes into account of the development and advancement of technology, particularly on the latest procedure of inspection of plant and machinery in the Malaysian industries. The FMA since 1967 is the safety at work legislation applicable in Malaysia that provides for the control of factories with respect to matters relating to safety, health and welfare of person therein, the registration and inspection of machinery and for matters connected therewith. Inclusion of such provision provides an option to the industry to conduct its special scheme of inspection that analyzes the likelihood of failure and the consequence of the same in its work. This is obviously important for the economic benefits as the implementation of the scheme safeguards the integrity of the plant that will eventually increase the industry productivity and competitiveness. This paper discusses the importance of the inclusion of the special scheme of inspection provision into the statute and how it regulates the implementation of the system in the light of the development of technology in the industry. Analysis was made based on the latest legal documentation enforced relating to special scheme of inspection and with the coming into force of the Factories and Machinery (Special Scheme of Inspection) (Risk-Based Inspection) Regulations on June 1, 2014, the provision under the Factories and Machinery (Amendment) Act 2006 on special scheme of inspection shall now be fully implemented to see the effectiveness of the inspection approach for plant equipment using ‘risks analysis’.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".