MONITORING TRACTOR PERFORMANCE USING SHEWHART AND EXPONENTIALLY WEIGHTED MOVING AVERAGE CHARTS

Voltarelli, Murilo A.; Paixão, Carla S. S.; Oliveira, Bruno R. de; Angelo, Eduardo P.; Silva, Rouverson P. da

doi:10.1590/1809-4430-Eng.Agric.v41n1p62-69/2021

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Sumário

Scientific Paper, Agricultural Machinery Management • Eng. agríc. (Online) 41 (1) • Jan-Feb 2021 • https://doi.org/10.1590/1809-4430-Eng.Agric.v41n1p62-69/2021 copy

MONITORING TRACTOR PERFORMANCE USING SHEWHART AND EXPONENTIALLY WEIGHTED MOVING AVERAGE CHARTS

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

Statistical process control has been widely used in agricultural operations for monitoring and improving process quality. This study aims to evaluate the Shewhart and exponentially weighted moving average (EWMA) control charts to monitor the performance of an agricultural tractor–planter set. The design is completely randomized based on the assumptions of statistical process control and comprises two treatments: day and night shift treatments. The data to assess the performance of the tractor–planter set are collected during the day and night shifts and used to evaluate the operating speed, motor rotation, engine oil pressure and water temperature, and hourly fuel consumption. The dataset comprised 40 samples compiled from the frontal monitor column inside a tractor cab. It is concluded that both Shewhart and MMEP/EWMA control charts can be used to evaluate engine performance based on the quality indicator parameters investigated, regardless of the normality assumption of the datasets.

KEYWORDS
statistical process control; management operations; agricultural mechanization

Quality indicators	Day shift				Night shift
Quality indicators	A^* * A - Total amplitude;	σ	CV	RJ	A^* * A - Total amplitude;	σ	CV	RJ
WS (km h⁻¹)	0.30	0.06	1.20	0.982^A A non-normal distribution - p <0.05).	0.60	0.10	1.89	0.839^A A non-normal distribution - p <0.05).
MR (rpm)	90.00	19.01	0.88	0.919^A A non-normal distribution - p <0.05).	80.00	16.80	0.78	0.982^A A non-normal distribution - p <0.05).
EOP (kPa)	40.00	11.54	3.08	0.998^A A non-normal distribution - p <0.05).	84.00	14.85	3.98	0.906^A A non-normal distribution - p <0.05).
EWP (°C)	8.00	2.49	3.03	0.984^A A non-normal distribution - p <0.05).	5.00	1.55	1.91	0.993^A A non-normal distribution - p <0.05).
HfC (L h⁻¹)	20.10	3.89	14.49	0.954^A A non-normal distribution - p <0.05).	21.60	3.65	14.35	0.959^A A non-normal distribution - p <0.05).

Associação Brasileira de Engenharia Agrícola SBEA - Associação Brasileira de Engenharia Agrícola, Departamento de Engenharia e Ciências Exatas FCAV/UNESP, Prof. Paulo Donato Castellane, km 5, 14884.900 | Jaboticabal - SP, Tel./Fax: +55 16 3209 7619 - Jaboticabal - SP - Brazil
E-mail: revistasbea@sbea.org.br

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[1] *Corresponding author. Universidade Federal de São Carlos, UFSCAR - Campus Buri/ Buri - SP, Brasil. E-mail: voltarelli@ufscar.br