Application of capacity sensor control in the organic waste bioconversion process to optimize standard time and work posture assessment

\nOrganic waste can be processed into organic products to support agriculture. It is necessary to optimize the bioconversion technology system for processing organic waste into products with added value and selling value. This research aims to evaluate and optimize the stages of bioconversion using capacity sensor control, establish standard processing times, and assess worker posture. The data obtained directly is based on observations and interviews with workers at Repro MSMEs. The primary data taken are: data on the sequence of the maggot production process. Optimizing bioconversion using capacity sensor control. The next process is calculating standard time and assessing REBA work posture. The application of a smart bioponds design that uses capacity sensors is able to optimize standard time and posture assessment. Body posture of production process workers after improvement, namely in enumeration using a REBA score machine of 5 with a medium risk level and sifting using a REBA score machine of 3 with a small risk level.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-27
DOI
https://doi.org/10.1051/bioconf/202414601016/pdf
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
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article

Application of capacity sensor control in the organic waste bioconversion process to optimize standard time and work posture assessment

Springer Link (Chiba Institute of Technology)
Management and Optimization Techniques
article

Application of capacity sensor control in the organic waste bioconversion process to optimize standard time and work posture assessment

article en

Abstract

\nOrganic waste can be processed into organic products to support agriculture. It is necessary to optimize the bioconversion technology system for processing organic waste into products with added value and selling value. This research aims to evaluate and optimize the stages of bioconversion using capacity sensor control, establish standard processing times, and assess worker posture. The data obtained directly is based on observations and interviews with workers at Repro MSMEs. The primary data taken are: data on the sequence of the maggot production process. Optimizing bioconversion using capacity sensor control. The next process is calculating standard time and assessing REBA work posture. The application of a smart bioponds design that uses capacity sensors is able to optimize standard time and posture assessment. Body posture of production process workers after improvement, namely in enumeration using a REBA score machine of 5 with a medium risk level and sifting using a REBA score machine of 3 with a small risk level.\n

Springer Link (Chiba Institute of Technology)
Zero hunger
Openalex Percentile: Top 43%
Management and Optimization Techniques
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