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All Journal Jurnal Teknoin Panrita Abdi - Jurnal Pengabdian pada Masyarakat Jurnal Sistem dan Manajemen Industri Jurnal DISPROTEK Advance Sustainable Science, Engineering and Technology (ASSET)
Sugarindra, Muchamad
Jurusan Teknik Industri, Fakultas Teknologi Industri, Universitas Islam Indonesia
Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation Other

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Journal : advance sustainable science engineering and technology asset

 1 
Optimizing Inventory Control Using Min-Max Method for Sustainable Manufacturing Process Prayoga Prima Hermawan; Qurtubi; Haswika; Muchamad Sugarindra
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1337

Abstract

Inventory plays an important role in a company's production process, especially in the sustainable manufacturing industry. The inventory of raw materials such as rayon, polyester, and cotton is an essential element that needs to be controlled to maintain a smooth production process. This research aims to plan and control raw materials through the min-max method, with a focus on evaluating inventory control to identify and overcome existing problems in the raw material warehouse at a yarn and textile manufacturing company. The results show that each type of raw material has a different reorder level, which guides the company in avoiding the risk of shortage or excess stock. By applying the right reorder level, the company can improve its production efficiency and inventory management. This research contributes to the practice of inventory control in the sustainable manufacturing industry, which supports operational stability and minimizes resource wastage. The implications of the findings could expand the application of min-max method-based inventory control in other industries to support operational sustainability.
Assessment of Occupational Noise Exposure in Industrial Environments: A Case Study in Metal Casting Dwiandra, Annisa Restia; Qurtubi; Haswika, Haswika; Sugarindra, Muchamad
Advance Sustainable Science Engineering and Technology Vol. 7 No. 2 (2025): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/3aqgpy70

Abstract

Good work environment conditions can affect the increase in worker productivity. One of the work environment factors that needs to be considered is distraction. Noise problems not only interfere with concentration but can also damage workers' hearing and reduce overall work safety. Therefore, this study aims to analyze the noise level in the work area in the production process of a company engaged in the metal casting industry and provide recommendations that can reduce the negative impact on the workforce. This measurement uses Decibel X with a time interval of five seconds, and then data processing is carried out to determine the LTm5 value. The measurement results show that the level of disturbance in some work areas exceeds the recommended threshold, increasing the risk of worker health problems. To reduce this negative impact, the study provides the provision of personal protective equipment (PPE), such as earplugs, as well as the implementation of occupational safety and health (OHS) socialization. This research makes an essential contribution to the management of nuisance risks in industrial environments, especially in improving worker safety and health through effective mitigation strategies. 
Optimizing Inventory Control Using Min-Max Method for Sustainable Manufacturing Process Hermawan, Prayoga Prima; Qurtubi; Haswika; Sugarindra, Muchamad
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1337

Abstract

Inventory plays an important role in a company's production process, especially in the sustainable manufacturing industry. The inventory of raw materials such as rayon, polyester, and cotton is an essential element that needs to be controlled to maintain a smooth production process. This research aims to plan and control raw materials through the min-max method, with a focus on evaluating inventory control to identify and overcome existing problems in the raw material warehouse at a yarn and textile manufacturing company. The results show that each type of raw material has a different reorder level, which guides the company in avoiding the risk of shortage or excess stock. By applying the right reorder level, the company can improve its production efficiency and inventory management. This research contributes to the practice of inventory control in the sustainable manufacturing industry, which supports operational stability and minimizes resource wastage. The implications of the findings could expand the application of min-max method-based inventory control in other industries to support operational sustainability.
Co-Authors 'Azzam, Abdullah Abdullah Azzam Ali Parkhan Dwiandra, Annisa Restia Endar Abdi Prakoso Fauza, Erlangga Haswika Haswika Haswika, Haswika Hermawan, Prayoga Prima Muafi Prayoga Prima Hermawan Qurtubi Qurtubi Qurtubi Qurtubi Qurtubi Qurtubi, Qurtubi Tyas, Sekar Wijayaning Zuhdi Allamsyah