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Record W2508740081 · doi:10.5539/mas.v10n11p211

Safety of Machinery and Special Scheme of Inspection’s Requirement towards Industry Competitiveness in Malaysia

2016· article· en· W2508740081 on OpenAlexvenueno aff
Rozanah Ab Rahman, Mohd Zahlul Azizi Abdul Malek

Bibliographic record

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationDocumentationScheme (mathematics)Work (physics)Inclusion (mineral)Risk analysis (engineering)StatuteProductivityBusinessComputer scienceOperations managementEngineeringLawEconomicsEconomic growth

Abstract

fetched live from OpenAlex

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.050
GPT teacher head0.330
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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