SYSTEMATIZATION, IMPLEMENTATION AND ANALYZE OF OVERALL THROUGHPUT EFFECTIVENESS CALCULATION IN FINISHING PROCESS OF WEAVING INDUSTRY

Özet Sürekli iyileşmenin sürdürülebilirliği için, üretim alanından mümkün olduğunca fazla veri almanın önemi tartışılamaz. Ancak, bu verileri, yalın üretim sisteminde anahtar performans göstergelerine dönüştürmek çok daha önemlidir. Bu makale, gerçek üretim ortamında, dokuma endüstrisinin finisyon sürecine odaklanmıştır. Çalışmada, öncelikle RFID ve PLC otomasyon yapısı ile barkod bazlı izlenebilirlik sağlanmıştır. Sonraki aşamada, her bir süreç için genel ekipman etkinliği (OEE)’nin hesaplanması sağlanmış ve özgün bir gösterge olarak genel çıktı etkinliği (OTE)’ne dönüştürme yöntemi önerilmiştir. Makalenin son aşamasında, genel çıktı etkinliği değerinin otomatik olarak alınmasından sonra, üretim ortamı parametreleri ile gösterge (OTE) arasındaki ilişkinin ortaya çıkarılması hedeflenmiştir. OTE sonuçlarını etkileyen en önemli üretim ortamı parametrelerini bulmak için, Revize Melez Genetik Algoritma önerilmiştir. Geliştirilen algoritmanın sonucunu doğrulamak için ise Çoklu Doğrusal Regresyon kullanılmıştır. (Bu çalışma, Güncel Yazılım Ar-Ge Merkezi ve Türkiye Bilimsel ve Teknik Araştırma Kurumu (TÜBİTAK-TEYDEB- 7151608) tarafından desteklenmiştir.) Anahtar Kelimeler: Genel Çıktı Etkinliği, Genel Ekipman Etkinliği, Finisyon Süreci, Dokuma Endüstrisi Abstract For the sustainability of continuous improvement, the importance of getting as much data as possible from production field is indisputable. But, converting these data to key performance indicators in lean production system is much more important. This paper focused on finishing process of weaving industry, in real production plant. In the study, firstly, barcode based traceability was provided by RFID and PLC automation structure. In the next step, the calculation of the general equipment efficiency (OEE) for each process was provided and then a method of converting these OEE values to the unique indicator as general output efficiency (OTE) was proposed. In the last phase of the paper, after getting OTE value automatically, it was aimed to reveal the relationship between production environment parameters and indicator of OTE. Revised Hybrid Genetic Algorithm was proposed to find the most important production environment parameters that affect OTE results. Multiple Linear Regression was utilized to verify the result of developed algorithm. (This work supported by Güncel Yazılım R&D Center and The Scientific and Technical Research Council of Turkey (TUBİTAK-TEYDEB- 7151608.)) Keywords: Overall Throughput Effectiveness, Overall Equipment Effectiveness, Finishing Process, Weaving Industry

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