Sustainable Development of Industrial Engineering with the Application of Intelligent Systems
- Li (2022) addressed the potential effect of sustainability on the public health system of the elderly with the help of Internet of Things (IoTs). They used a classifier along with Every autoregressive moving average system (ARMAX) and Fast Fourier Transform (FFT) to conduct their study.
- Wu et al. (2022) utilized data from the World Input–Output Database (WIOD), covering 16 manufacturing industries across 43 countries from 2000 to 2014. They developed an econometric regression model to empirically examine the correlation between population aging, industrial intelligence, and the technological complexity of exports.
- A simulation–optimization model was developed by Song et al. (2022) in order to plan industrial heavy-duty trucks on the basis of fluid–structure coupling.
- Bac (2022) offered a Fuzzy Multi-Criteria Group Decision-Making (F-MCGDM) model for the strategic alignment of Management Information System (MIS) functions in service and manufacturing industries.
- Fuzzy Best–Worst Method (F-BWM) and Fuzzy Additive Ratio Assessment Method (F-ARAS) were suggested by Boz et al. (2022) to appraise and rank sustainable suppliers in the healthcare industries in the era of Logistics 4.0.
- Cakmak (2023) employed Interval-Valued Neutrosophic (IVN) SWARA and EDAS methods in order to assess and prioritize sustainable suppliers of a power generator company in Turkey.
- A hybrid decision-making model based on Data Envelopment Analysis (DEA) and fuzzy COPRAS was offered by Yilmaz (2023) in order to evaluate renewable energy generation in wind farms of Turkey.
- Niekurzak et al. (2023) used a lean manufacturing scenario focusing on the consequences of reducing the changeover time within the assembly line on the overall efficiency of production, wherein production process optimization was conducted using the Single Minute Exchange of Die (SMED) method.
- Q-rung orthopair fuzzy TOPSIS and VIKOR methods were suggested by Erdebili et al. (2023) in order to evaluate and select the most sustainable private health insurance policies.
- Abbasi and Erdibili (2023) proposed a mathematical model in order to design a green closed-loop supply chain network considering different carbon policies during the COVID-19 pandemic.
- A hybrid fuzzy LMAW and Fermatean fuzzy WASPAS technique was developed by Sıcakyüz (2023) to assess online customer reviews.
- Wu et al. (2023) applied a Voxelization algorithm to reconstruct the data based on a reliability measure of the point cloud data generated from mmWave radars applied to posture classification for low-energy-consumption platforms.
- A simulation–optimization approach was suggested by Utku (2023) to evaluate and enhance the production processes of an automotive company manufacturing garbage collectors.
- Shao et al. (2023) introduced a high-order sliding mode flux observer utilizing a hybrid reaching rate. This approach was developed to address the excitation challenge in elevator traction permanent magnet synchronous motors.
- Zhu and Liu (2023) employed a Work Breakdown Structure–Risk Breakdown Structure (WBS-RBS) model to assess the risks of prefabricated building supply chains considering aspects of sustainability.
Acknowledgments
Conflicts of Interest
List of Contributions
- Abbasi, S.; Erdebilli, B. Green closed-loop supply chain networks’ response to various carbon policies during COVID-19. Sustainability 2023, 15, 3677.
- Bac, U. Strategic Alignment of Management Information System Functions for Manufacturing and Service Industries with an F-MCGDM Model. Sustainability 2022, 14, 14428.
- Boz, E.; Çizmecioğlu, S.; Çalık, A. A Novel MDCM Approach for Sustainable Supplier Selection in Healthcare System in the Era of Logistics 4.0. Sustainability 2022, 14, 13839.
- Cakmak, E. Supplier Selection for a Power Generator Sustainable Supplier Park: Interval-Valued Neutrosophic SWARA and EDAS Application. Sustainability 2023, 15, 13973.
- Erdebilli, B.; Gecer, E.; Yılmaz, İ.; Aksoy, T.; Hacıoglu, U.; Dinçer, H.; Yüksel, S. Q-ROF fuzzy TOPSIS and VIKOR methods for the selection of sustainable private health insurance policies. Sustainability 2023, 15, 9229.
- Li, H. The Impact of Sustainable Development on the Public Health System of the Elderly in the Internet of Things Environment. Sustainability 2022, 14, 16505.
- Niekurzak, M.; Lewicki, W.; Coban, H.H.; Bera, M. A Model to Reduce Machine Changeover Time and Improve Production Efficiency in an Automotive Manufacturing Organisation. Sustainability 2023, 15, 10558.
- Shao, P.; Tang, X.; Zheng, B.; Li, D.; Chen, S.; Lin, H. High-Order Sliding Mode Magnetometer for Excitation Fault Detection of Elevator Traction Synchronous Motor under the Background of Industrial Engineering. Sustainability 2023, 15, 1239.
- Sıcakyüz, Ç. Analyzing healthcare and wellness products’ Quality embedded in online customer reviews: Assessment with a hybrid fuzzy LMAW and fermatean fuzzy WASPAS method. Sustainability 2023, 15, 3428.
- Song, X.; Cao, F.; Rao, W.; Huang, P. Simulation Optimization of an Industrial Heavy-Duty Truck Based on Fluid–Structure Coupling. Sustainability 2022, 14, 14519.
- Utku, D.H. The Evaluation and Improvement of the Production Processes of an Automotive Industry Company via Simulation and Optimization. Sustainability 2023, 15, 2331.
- Wu, K.; Tang, Z.; Zhang, L. Population Aging, Industrial Intelligence and Export Technology Complexity. Sustainability 2022, 14, 13600.
- Wu, J.; Cui, H.; Dahnoun, N. A voxelization algorithm for reconstructing MmWave radar point cloud and an application on posture classification for low energy consumption platform. Sustainability 2023, 15, 3342.
- Yilmaz, I. A hybrid DEA–fuzzy COPRAS approach to the evaluation of renewable energy: A case of wind farms in Turkey. Sustainability 2023, 15, 11267.
- Zhu, T.; Liu, G. A Novel Hybrid Methodology to Study the Risk Management of Prefabricated Building Supply Chains: An Outlook for Sustainability. Sustainability 2022, 15, 361.
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Erdebilli, B.; Tirkolaee, E.B. Sustainable Development of Industrial Engineering with the Application of Intelligent Systems. Sustainability 2024, 16, 1928. https://doi.org/10.3390/su16051928
Erdebilli B, Tirkolaee EB. Sustainable Development of Industrial Engineering with the Application of Intelligent Systems. Sustainability. 2024; 16(5):1928. https://doi.org/10.3390/su16051928
Chicago/Turabian StyleErdebilli, Babek, and Erfan Babaee Tirkolaee. 2024. "Sustainable Development of Industrial Engineering with the Application of Intelligent Systems" Sustainability 16, no. 5: 1928. https://doi.org/10.3390/su16051928