Journals / Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2020 / Cilt: 38 - Sayı: 4

A MULTI CRITERIA APPROACH BASED ON EVALUATION OF INDUSTRY 4.0 MATURITY LEVEL: THE CASE OF LOGISTICS SECTOR

SANAYİ 4.0 OLGUNLUK DÜZEYİNİN DEĞERLENDİRİLMESİNE YÖNELİK ÇOK KRİTERLİ BİR YAKLAŞIM: LOJİSTİK SEKTÖRÜ UYGULAMASI

Pages
655–693
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Besides, it is concluded that both approaches give similar results and can be used in the measurement of maturity level.

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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.
📊
Key Findings & Data: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.
💡
Conclusion & Impact:Besides, it is concluded that both approaches give similar results and can be used in the measurement of maturity level.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Sanayi 4.0 · olgunluk modeli · lojistik

Abstract

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.

Özet

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.

🔖

Cite This Article

SERDAR, D., BAKİ, B. (2022). A MULTI CRITERIA APPROACH BASED ON EVALUATION OF INDUSTRY 4.0 MATURITY LEVEL: THE CASE OF LOGISTICS SECTOR. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 38 - Sayı: 4, 655–693. https://ajindex.com/articles/532926

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Akdil, K.Y., A. Ustundag, E. Cevikcan (2018), “Maturity and Readiness Model for Industry 4.0 Strategy”, Industry 4.0: Managing The Digital Transformation, 54, 61-94.
  2. An, S-H., G-H. Kim, K-I. Kang (2007), “A Case-Based Reasoning Cost Estimating Model Using Experience by Analytic Hierarchy Process”, Building and Environment, 42(7), 2573–2579.
  3. Asdecker, B., V. Felch (2018), “Development of an Industry 4.0 Maturity Model for the Delivery Process in Supply Chains”, Journal of Modelling in Management, 13 (4), 840-883.
  4. Ataman, A.C. (2018), Savunma Sanayinde Endüstri 4.0 Olgunluk Parametrelerinin Tereddütlü Bulanık AHP Yöntemi İle Önceliklendirilmesi, Yüksek Lisans Tezi, Bahçeşehir Üniversitesi,
  5. Fen Bilimleri Enstitüsü. Bandara, O.K.K., V.K. Tharaka, A.P.R. Wickramarachchi (2019), “Industry 4.0 Maturity Assessment of the Banking Sector of Sri Lanka”, International Research Conference on Smart Computing and Systems Engineering (SCSE), IEEE, 190-195.
  6. Barata, J., P.R. Cunha (2017), “Climbing the Maturity Ladder in Industry 4.0: A Framework for Diagnosis and Action that Combines National and Sectorial Strategies”, Twenty-third Americas Conference on Information Systems (AMCIS), Boston, 1-10.
  7. Barreto, L., A. Amaral, T. Pereira (2017), “Industry 4.0 Implications in Logistics: An Overview”, Procedia Manufacturing, 13, 1245-1252.
  8. Basl, J. (2018), “Analysis of Industry 4.0 Readiness Indexes and Maturity Models and Proposal of the Dimension for Enterprise Information Systems”, International Conference on Research and Practical Issues of Enterprise Information Systems, 327, 57-68.
  9. Batz, Aglaya., J.O. Szłapka, A. Stachowiak, G. Pawłowski, K. Maruszewska (2019), “Identification of Logistics 4.0 Maturity Levels in Polish Companies-Framework of the Model and Preliminary Research”, in Grzybowska K., Awasthi, A., Sawhney, R. (editors), Sustainable Logistics and Production in Industry 4.0: New Opportunities and Challenges, Poland: Springer, 161-175.
  10. Bauer, W., B. Pokorni, S. Findeisen (2019), “Production Assessment- Methods fort he Development and Evaluation of Industry 4.0 Use Cases”, International Conference on Applied Human Factors and Ergonomics, 793, 501-510.
  11. Behzadian, M., S.K. Otaghsara, M. Yazdani, J. Ignatius (2012), “A state-of the-art survey of TOPSIS applications”, Expert Systems with Applications, 39(17), 13051-13069.
  12. Bibby, L., B. Dehe (2018), “Defining and assessing industry 4.0 maturity levels – case of the defence sector”, Production Planning & Control, 29(12), 103