OEE approach applied to additive manufacturing systems in distributed manufacturing networks

Mendonça, Pedro Antônio; Francisco, Roberto da Piedade; Rabelo, Diogo de Souza

doi:10.1016/j.cie.2022.108359

Cited by 7 publications

(5 citation statements)

References 71 publications

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“…Overall Equipment Effectiveness (OEE) is a method that can be used to measure machine effectiveness based on the measurement of three main ratios, namely: availability, performance efficiency, and rate of quality (Antônio Mendonça et al, 2022;Ginste et al, 2022). By knowing the value of the effectiveness of the machine, it can be seen how much the loss affects the effectiveness of the machine known as the six big losses of equipment.…”

Section: Overall Equipment Effectiveness (Oee) Methodsmentioning

confidence: 99%

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Thermo Valve Air Compressor Maintenance and Repair Using the Overall Equipment Effectiveness (OEE) Method in Maintenance

Maghfiroh

Chandra

2023

IJEC

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Production activities carried out every day can interfere with the effectiveness of the machine, one of which is the compressor, so that sometimes problems in the field are still often encountered, such as the piston drive motor not rotating, the compressor does not turn on and off automatically, corrosion (rust), melted capacitors, and many more. things that can happen beyond the operator's control. Due to these constraints, the authors decided to find out more and made direct observations at PT. INKA Multi Solusi Service, as well as studying good and proper machine maintenance so that the company's productivity does not experience a significant decrease. The research was conducted by direct observation and direct interviews with the maintenance department to find out the steps that are usually taken in solving problems. To determine the value of machine effectiveness based on the measurement of three main ratios, namely: availability, performance efficiency, and rate of quality, is carried out using the Overall Equipment Effectiveness (OEE) method. The conclusion that can be drawn from this study is that maintenance on the Ingersoll Rand MM160 type screw air compressor is carried out to maintain the condition of the compressor in a ready state for use in measuring the level of machine effectiveness using the Overall Equipment Effectiveness (OEE) method at PT. IMSS, starting from May – July 2022, where the highest percentage in May 2022 is 94% and the lowest in June 2022 with a percentage is 90%.

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Section: Overall Equipment Effectiveness (Oee) Methodsmentioning

confidence: 99%

“…Due to these constraints, the authors decided to find out more and made direct observations at PT. INKA Multi Solusi Service, as well as studying good and proper machine maintenance so that the company's productivity does not experience a significant decrease (Antônio Mendonça et al, 2022).…”

Section: Overall Equipment Effectiveness (Oee) Methodsmentioning

confidence: 99%

Thermo Valve Air Compressor Maintenance and Repair Using the Overall Equipment Effectiveness (OEE) Method in Maintenance

Maghfiroh

Chandra

2023

IJEC

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“…Step 3. 6 The candidates are ranked according to appraisal scores. The one with highest appraisal score is the most critical.…”

Section: Plos Onementioning

confidence: 99%

“…Because of its unique characteristics, AM has become an important methodology in modern production systems [5]. In contrast to subtractive manufacturing techniques, which involve cutting away material in the form of a block to create a finished product, "AM" describes a method of production in which material is added layer by layer, materials are joined to construct a part from a 3D model [6]. According to the American Society for Testing and Materials (ASTM) International, the different AM processes are divided into seven categories: Vat Photopolymerisation (VAT), Powder Bed Fusion (PBF), Material Extrusion (ME), Material Jetting (MJ), Binder Jetting (BJ), Sheet Lamination (SL), and Directed-Energy Deposition (DED) [7].…”

Section: Introductionmentioning

confidence: 99%

Additive manufacturing process selection for automotive industry using Pythagorean fuzzy CRITIC EDAS

et al. 2023

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For many different types of businesses, additive manufacturing has great potential for new product and process development in many different types of businesses including automotive industry. On the other hand, there are a variety of additive manufacturing alternatives available today, each with its own unique characteristics, and selecting the most suitable one has become a necessity for relevant bodies. The evaluation of additive manufacturing alternatives can be viewed as an uncertain multi-criteria decision-making (MCDM) problem due to the potential number of criteria and candidates as well as the inherent subjectivity of various decision-experts engaging in the process. Pythagorean fuzzy sets are an extension of intuitionistic fuzzy sets that are effective in handling ambiguity and uncertainty in decision-making. This study offers an integrated fuzzy MCDM approach based on Pythagorean fuzzy sets for assessing additive manufacturing alternatives for the automotive industry. Objective significance levels of criteria are determined using the Criteria Importance Through Inter-criteria Correlation (CRITIC) technique, and additive manufacturing alternatives are prioritized using the Evaluation based on Distance from Average Solution (EDAS) method. A sensitivity analysis is performed to examine the variations against varying criterion and decision-maker weights. Moreover, a comparative analysis is conducted to validate the acquired findings.

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“…Industry 4.0 demand industries to utilize technological improvements to produce rapid evolution and transformation in production flow so that performance can be optimized and cost can be reduced (Mendonça et al, 2022). With the increasingly incisive competition between manufacturers, industries need to maximize their production performance (Nurprihatin et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Integration of Overall Equipment Effectiveness and Six Sigma Approach to Minimize Product Defect and Machine Downtime

Nurprihatin,

Rembulan,

Andry

et al. 2023

Management and Production Engineering Review

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This study was conducted in a company that produces palm oil-based products such as cooking oil and margarine. The study aimed to encounter defects in packaging pouches. This study integrated the overall equipment effectiveness (OEE) with the six sigma DMAIC method. The OEE was performed to measure the efficiency of the machine. Three factors were measured in OEE: availability, performance, and quality. These factors were calculated and compared to the OEE world-class value. Then, the Multiple Linear Regression was performed using SPSS to determine the correlation between measurement variables toward the OEE value. Lastly, the six sigma method was implemented through the DMAIC approach to find the solution and improve the packaging quality. Supposing the recommendations are implemented, the OEE is expected to increase from 82% to 85%, with availability ratio, performance ratio, and quality ratio at, 99%, 86%, and 99.8%, respectively.

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OEE approach applied to additive manufacturing systems in distributed manufacturing networks

Cited by 7 publications

References 71 publications

Thermo Valve Air Compressor Maintenance and Repair Using the Overall Equipment Effectiveness (OEE) Method in Maintenance

Thermo Valve Air Compressor Maintenance and Repair Using the Overall Equipment Effectiveness (OEE) Method in Maintenance

Additive manufacturing process selection for automotive industry using Pythagorean fuzzy CRITIC EDAS

Integration of Overall Equipment Effectiveness and Six Sigma Approach to Minimize Product Defect and Machine Downtime

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