Satnam Singh
Lovely Professional University
7 Papers
5 Citations
Satnam Singh is an academic researcher from Lovely Professional University. The author has contributed to research in topics: Occupational safety and health & Analytic hierarchy process. The author has an hindex of 2, co-authored 7 publications.
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Papers
Occupational safety evaluation index-based obstacles prediction for manufacturing industries
TL;DR: A new safety index known as Occupational Safety Evaluation Index (OSEI) was developed to evaluate and map the level of workplace safety in medium size iron and steel manufacturing industries.
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Analytical Hierarchy Process-Based Methodology for Selection of Safety Parameters in Manufacturing Industry
Satnam Singh,Lakhwinder Pal Singh,Mandeep Kaur +2 more
- 01 Jan 2016
TL;DR: In this paper, the authors used the analytical hierarchy process (AHP) to quantify important safety parameters and to analyse the weight scores of main and sub-factors of safety parameters.
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STRATEGIC ENHANCEMENT OF WORKPLACE SAFETY IN SMALL SCALE MANUFACTURING INDUSTRIES USING AHP APPROACH: Identification of safety parameters using AHP
TL;DR: In this article, the authors conducted a study to determine the key factors that affect workplace safety in small scale manufacturing industries (SSMIs) and identified nine main factors and twenty-two sub-factors were identified and then prioritized using the Analytic Hierarchy Process.
Availability Analysis of Shoe Manufacturing Unit Using Petri Nets
Ankur Bahl,Satnam Singh,JaiinderPreet Singh +2 more
- 01 Jan 2022
TL;DR: Petri net-based modelling of a shoe manufacturing unit is proposed to compute the availability of various machines of the unit to study the dynamic behavior of the plant and to decide maintenance priorities.
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•Journal Article
Matlab based m-file and gui for design of concrete mixes
TL;DR: It is concluded that the accuracy of simulated results is higher than manual computation due to absence of quantization errors, and helps in performing complex computations in a very short amount of time, thereby leading a researcher to perform his tasks more productively.
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