SANAYİ 4.0 OLGUNLUK DÜZEYİNİN DEĞERLENDİRİLMESİNE YÖNELİK ÇOK KRİTERLİ BİR YAKLAŞIM: LOJİSTİK SEKTÖRÜ UYGULAMASI
Yıl 2020,
, 655 - 693, 28.12.2020
Birdoğan Baki
,
Duygu Serdar
Öz
Son dönemlerde ortaya çıkan en önemli kavramlardan biri olan Sanayi 4.0, firmaların hem daha yüksek teknolojik seviyeye hem de daha yüksek verimlilik düzeyine ulaşmasına imkan sağlamaktadır. Sanayi 4.0 olgunluk modelleri ise, çeşitli göstergelerle/kriterlerle firmaların mevcut durumlarını ölçerek olması gereken yere nasıl ulaşacağını ve firmaların Sanayi 4.0’a hazır olma durumlarını değerlendiren modellerdir. Bu çalışmanın amacı, IMPULS olgunluk modeli ile lojistik firmaların Sanayi 4.0 olgunluk düzeylerinin değerlendirilmesine yönelik iki farklı yaklaşım önermektir. Bu amaçla, önerilen Ağırlıklandırılmış Olgunluk Puan Hesaplama Modeli Yaklaşımı (AHP-Olgunluk Puan Hesaplama Yöntemi) ve Çok Kriterli Olgunluk Modeli Yaklaşımı (AHP-TOPSIS ve AHP-VIKOR) ile firmaların sıralaması gerçekleştirilmiştir. Elde edilen bulgular, AHP yöntemiyle kriter ağırlıklarının hesaplanması sonucunda en yüksek ağırlığa sahip kriterin strateji ve organizasyon olduğunu göstermektedir. Ayrıca, önerilen her iki yaklaşımında benzer sonuçlar verdiği ve olgunluk düzeyinin ölçümünde kullanılabileceği sonucuna varılmıştır.
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A MULTI CRITERIA APPROACH BASED ON EVALUATION OF INDUSTRY 4.0 MATURITY LEVEL: THE CASE OF LOGISTICS SECTOR
Yıl 2020,
, 655 - 693, 28.12.2020
Birdoğan Baki
,
Duygu Serdar
Öz
Industry 4.0, one of the most important concepts in recent years, allows companies to reach both a higher technological level and a higher productivity level. Industry 4.0 maturity models evaluate the current status of companies and whether companies are ready for Industry 4.0 using various indicators/criteria.The aim of this study is to propose two different approaches to evaluate the Industry 4.0 maturity levels of logistics firms with the IMPULS maturity model. For this purpose, the firms are ranked by Weighted Maturity Score Calculation Model Approach (AHP-Maturity score calculation method) and Multi Criteria Maturity Model Approach (AHP-TOPSIS and AHP-VIKOR), respectively. The findings show that the criterion strategy and organization has the highest value as a result of calculating the criteria weights by using AHP. Besides, it is concluded that both approaches give similar results and can be used in the measurement of maturity level.
Kaynakça
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