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Reliability and maintenance of agricultural machinery by MCDM approach

Author

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  • Debesh Mishra

    (SME, KIIT Deemed to be University)

  • Suchismita Satapathy

    (SME, KIIT Deemed to be University)

Abstract

Maintenance of agricultural machines plays a vital role for the proper functioning as well as to make the farm activities smoother. This study included the evaluation of farmers’ knowledge of the maintenance activities of farm related machinery by using questionnaire survey in Odisha (India) and found that maximum number of farmers i.e. 135 (93.75%) out of a total of 144 respondents were found of requiring further guidance for the effective maintenance of tractors in particular. Further, an extensive literature-review followed by consultation with experts was done for the identification of farm machinery maintenance plans (MPs) for tractors. The “Step-wise Weight Assessment Ratio Analysis” method was used to rank the MPs for tractors based on their prioritization, and it was found that checking for general conditions ranked first followed by checking for batteries; checking for all fluid levels; and checking for tires and wheels; respectively. Similarly, based on the prioritization of all concerned sub-criteria of all the criteria of MPs for tractors, the corresponding ranking in the descending order included checking for secure held down of batteries; checking for broken or cracked parts; checking for clean connection of batteries; checking for good level of electrolyte in batteries; checking for lug nuts for tightness; followed by checking for leakages or damaged hoses; checking for proper inflation of tires as recommended in operator’s manual; checking for loose bolts, nuts and parts; checking for engine oils; checking for functioning of all the lights and flashers; checking for cuts and breaks in the sidewalls or tread of tires; checking for fuels; checking of steps for cleanliness of any mud or greases; checking for coolants; checking for hydraulic fluids; and finally, checking for other fluids; respectively. The findings of this study can be helpful to the decision-makers, operators and the agricultural farmers to upkeep the farm operated tractors in better working conditions.

Suggested Citation

  • Debesh Mishra & Suchismita Satapathy, 2023. "Reliability and maintenance of agricultural machinery by MCDM approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 135-146, February.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-021-01256-y
    DOI: 10.1007/s13198-021-01256-y
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    References listed on IDEAS

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    1. Hillary Mugiyo & Vimbayi G. P. Chimonyo & Mbulisi Sibanda & Richard Kunz & Cecilia R. Masemola & Albert T. Modi & Tafadzwanashe Mabhaudhi, 2021. "Evaluation of Land Suitability Methods with Reference to Neglected and Underutilised Crop Species: A Scoping Review," Land, MDPI, vol. 10(2), pages 1-24, January.
    2. Chen, Tao & Li, Jiawen & Jin, Ping & Cai, Guobiao, 2013. "Reusable rocket engine preventive maintenance scheduling using genetic algorithm," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 52-60.
    3. Morteza Yazdani & Sarfaraz Hashemkhani Zolfani & Edmundas Kazimieras Zavadskas, 2016. "New integration of MCDM methods and QFD in the selection of green suppliers," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(6), pages 1097-1113, November.
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    Cited by:

    1. Rashmi Ranjan Swain & Swagatika Mishra & S. S. Mahapatra, 2024. "An integrated BWM–SWARA approach to identify barriers in implementing reverse logistics for an effective supply chain management: a critical study of five bottle manufacturing companies in Odisha (Ind," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(9), pages 4495-4511, September.
    2. Yograj Singh & Dinesh C. S. Bisht, 2025. "Enhanced dissimilarity measurement for pythagorean fuzzy sets in real-world scenarios," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(1), pages 402-424, January.

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