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Safety analysis on high risk injury categories within steel industries / by Vinzen Joshua D. Argonzola, and Howard Liel P. Orquina.

By:

Argonzola, Vinzen Joshua D [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2017.Description: xi , 48 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

658.3 Ar3 2017

Online resources:

View abstract and table of contents

Production credits:

College of Engineering and Information Technology (CEIT), Department of Industrial Engineering and Technology

Abstract: ARGONZOLA, VINZEN JOSHUA D. and ORQUINA, HOWARD LIEL P., Safety Analysis on High Risk. Injury Categories within Steel Industries. An Undergraduate Thesis. Bachelor of Science in Industrial Engineering. Cavite State University, Indang, Cavite. May 2017 Adviser: Engr. Willie C. Buclatin This study was primarily conducted to determine the high-risk injuries that are present within the steel company and to find out if there are significant effects to the worker's performance. To achieve the research purpose, the study has undertaken enough reviews from other related studies in order to make sure that the flow and inputs of the study is reliable and accurate. Data were gathered through consultation of workers in the steel industries and by surveying using Likert scale method. The survey was conducted from three steel manufacturing companies which are Ishida Philippines Corporation, Industrial Galvanizer Corporation and Jea Steels Corporation. By using slovin's and stratified sampling, the researchers determined the number of respondents per company. In order to determine if there are significant effects between high risk injuries and worker's performance the study uses a statistical package for the social sciences (SPSS) which is a computer processed statistical computation. The outputs of this study are accurately determined in order to help future researchers to discuss a deeper study along steel industries.

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Holdings ( 1 )
Title notes ( 5 )

Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	658.3 Ar3 2017 (Browse shelf(Opens below))		Link to resource	Room use only	T-7174		00011740

Thesis (Bachelor of Science in Industrial Engineering) Cavite State University.

Includes bibliographical references.

College of Engineering and Information Technology (CEIT), Department of Industrial Engineering and Technology

ARGONZOLA, VINZEN JOSHUA D. and ORQUINA, HOWARD LIEL P., Safety Analysis on High Risk. Injury Categories within Steel Industries. An Undergraduate Thesis. Bachelor of Science in Industrial Engineering. Cavite State University, Indang, Cavite. May 2017 Adviser: Engr. Willie C. Buclatin
This study was primarily conducted to determine the high-risk injuries that are present within the steel company and to find out if there are significant effects to the worker's performance. To achieve the research purpose, the study has undertaken enough reviews from other related studies in order to make sure that the flow and inputs of the study is reliable and accurate. Data were gathered through consultation of workers in the steel industries and by surveying using Likert scale method. The survey was conducted from three steel manufacturing companies which are Ishida Philippines Corporation, Industrial Galvanizer Corporation and Jea Steels Corporation. By using slovin's and stratified sampling, the researchers determined the number of respondents per company. In order to determine if there are significant effects between high risk injuries and worker's performance the study uses a statistical package for the social sciences (SPSS) which is a computer processed statistical computation.
The outputs of this study are accurately determined in order to help future researchers to discuss a deeper study along steel industries.

Submitted to the University Library October 18, 2017 T-7174