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The demand for natural stone is increasing with the construction development in Turkey. In natural stone quarries, frame saws and circular saw machines are preferred for block production. Frame saw machine is also known as gang saw and it is the most commonly used for slab production in stone cutting factories. Therefore, gang saw machine selection is the most significant factor in the number of slabs, size of slabs, production time, and cost. Also, cutting machine performance is important because it can increase productivity and quality while reducing costs. Overall Equipment Effectiveness (OEE) is a crucial technique for measurement of the performance, availability, and quality of the machine. Production Equipment Effectiveness (PEE) is a method of losses owing to downtime, reduced speed, and quality. However, there is no study in the literature on how to use effectiveness for stone cutting machines such as gang saw machines, circular saw machines, bridge plate cutting machines, bridge plate polishing machines, etc. In this study, 3 gang saw machines have been carried out by evaluating both OEE and PEE. It determines the time losses. The estimation of OEE and PEE of gang saw machines have been presented via 23 blocks for every machine. As a result, OEE values have been calculated as 80% and PEE values have been calculated as 90%. This situation shows that this factory uses the equipment effectively and slabs are quality for sale.
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Tom
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157--169
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
autor
- Department of Mining Engineering, Süleyman Demirel University, Isparta 32100, Turkey, mervevarol@sdu.edu.tr
Bibliografia
- AFEFY I.H., 2013, Implementation of total productive maintenance and overall equipment effectiveness evaluation, International Journal of Mechanical and Mechatronics Engineering, 13 (1), 69–75.
- AHMAD N., HOSSEN J., ALI S.M., 2018, Improvement of overall equipment efficiency of ring frame through total productive maintenance: a textile case, Int. J. Adv. Manuf. Technol., 94, 239–256, DOI: 10.1007/s00170-017-0783-2.
- BAKIR M., ATALIK Ö., 2018, Entropi ve Aras Yöntemleriyle Havayolu İşletmelerinde Hizmet Kalitesinin Değerlendirilmesi, İşletme Araştırmaları Dergisi, 10 (1), 617–638.
- BAYRAM F., KULAKSIZ S., 2021, Evaluation of rock cutting performance of diamond segmented frame saw in terms of diamond segment wear, International Journal of Rock Mechanics and Mining Sciences, 139, 104657.
- BILIM N., 2012, Optimum Cutting Speed of Block-Cutting Machines in Natural Stones For Energy Saving, J. Cent. South Univ., 19, 1234–1239, DOI: 10.1007/s11771-012-1134-y.
- DORMISHI A., ATAEI M., MIKAEIL R., KHALOKAKAEI R., HAGHSHENAS S.S., 2019, Evaluation of Gang Saws’ Performance in the Carbonate Rock Cutting Process Using Feasibility of Intelligent Approaches, Engineering Science and Technology, an International Journal, 22, 990–1000.
- ELEVLİ S., ELEVLİ B., 2010, Performance Measurement of Mining Equipments by Utilizing OEE, Acta Montanistica Slovaca, 15 (2), 95–101.
- ERSOY M., YEŞİLKAYA L., GÜLSEVEN H., 2012, Mermer İşleme Tesislerinde Moloz ve Blok Kesme Verimlerinin Karşılaştırılması, 5 (4), 33–42.
- HAGHSHENAS S.S., FARADONBEH R.S., MİKAEİL R., HAGHSHENAS S.S., TAHERİ A, SAGHATFOROUSH A., DORMİSHİ A., 2019, A new conventional criterion for the performance evaluation of gang saw machines, Measurement, 146, 159–170.
- HUNG Y.H., LI L.Y.O., CHENG T.C.E., 2022, Uncovering hidden capacity in overall equipment effectiveness management, Int. J. Production Economics, 248, 108494.
- KOÇAK A., 2015, İmalat Süreçlerinde Kullanılan Performans Ölçütleri Üzerine Bir Literatür Araştırması, Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 17 (3), 160–185.
- LANKE A.A., HOSEİNİE S.H., GHODRATİ B., 2016, Mine Production Index (MPI)-Extension Of OEE for Bottleneck Detection in Mining, International Journal of Mining Science and Technology, 26 (5), 753–760.
- MOHAMMADİI M., RAİ P., GUPTA S., 2015, Performance Measurement of Mining Equipment, International Journal of Emerging Technology and Advanced Engineering, 5 (7), 240–248.
- MOHAMMADI M., RAI P., GUPTA S., 2017, Performance Evaluation of Bucket Based Excavating, Loading and Transport (Belt) Equipment – An OEE Approach, Arch. Min. Sci., 62, 1, 105–120.
- MUCHİRİ P. and PİNTELON L., 2008, Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion, International Journal of Production Research, 46 (13), 3517–3535.
- NAKAJİMA S., 1988, Introduction to TPM: Total Productive Maintenance, Productivity Press, Cambridge, MA.
- NORDEN C., ISMAİL J., 2012, Defining a representative overall equipment effectiveness (OEE) measurement for underground bord and pillar coal mining, Journal of the Southern African Institute of Mining and Metallurgy, 112 (10), 845–851.
- RAOUF A., 1994, Improving Capital Productivity through Maintenance, International Journal of Operations and Production Management, 14 (7), 44–52.
- SAKAOĞLU M., 2008, Mermer Fabrikalarında Kullanılan Dairesel Testereli Blok Kesme (S/T) Makinelerinde Performans Analizleri, Dumlupınar Üniversitesi, Fen Bilimleri Enstitüsü, Maden Mühendisliği Anabilim Dalı, Yüksek Lisans Tezi, 59 pp.
- SFERA Catalog, https://www.simec.it/uploads/prodotti/20181115-145856-SFERA_web.pdf
- WAQAS M., TAİRQ S.M., SHAHZAD M., ALİ Z., SAQİB S., 2015, Performance Measurement of Surface Mining Equipment by Using Overall Equipment Effectiveness, Pakistan Journal of Science, 67 (2), 212–216.
- WANG C.Y., CLAUSEN R., 2003, Computer Simulation of Stone Frame Sawing Process Using Diamond Blades, International Journal of Machine Tools and Manufacture, 43, 559–572.
- YILDIRIM A., 2019, Mermer Fabrikalarında Blok Kesimleri Sırasında Oluşan Kayıpların İncelenmesi, Konya Teknik Üniversitesi Lisansüstü Eğitim Enstitüsü, 116 pp.
- ZHANGA H., ZHANGA J., DONGA P., SUNA Q., 2018, Investigation of the Sawing Performance of a New Type of Diamond Frame Saw Machine, Diamond and Related Materials, 84, 11–19.
- ZHU Y., TIAN D., YAN D., 2020, Effectiveness of Entropy Weight Method in Decision-Making, Hindawi Mathematical Problems in Engineering, Vol. 2020, Article ID: 3564835, 5 pp., https://doi.org/10.1155/2020/3564835
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Bibliografia
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