Sustainable Last-Mile Delivery Solution Evaluation in the Context of a Developing Country: A Novel OPA–Fuzzy MARCOS Approach
With the surge in e-commerce volumes during COVID-19, improving last-mile logistics is
extremely challenging, specifically for developing economies, due to poor infrastructures …
extremely challenging, specifically for developing economies, due to poor infrastructures …
Neutrosophic MARCOS in Decision Making on Smart Manufacturing System
Business firms prefer software-based smart manufacturing systems to monitor and supervise
all production activities in a decentralized manner. The choice of software decides the …
all production activities in a decentralized manner. The choice of software decides the …
Evaluating the effect of the COVID-19 pandemic on medical waste disposal using preference selection index with CRADIS in a fuzzy environment
AT Demir, S Moslem - Heliyon, 2024 - cell.com
The COVID-19 pandemic has caused a surge in essential medical supplies usage, leading
to a notable increase in medical waste generation. Consequently, extensive research has …
to a notable increase in medical waste generation. Consequently, extensive research has …
Ranking Performance of MARCOS Method for Location Selection Problem in the Presence of Conflicting Criteria
The selection of the best location for a facility is generally a complex process especially
when considering multiple criteria in the selection process. The costs associated with …
when considering multiple criteria in the selection process. The costs associated with …
MLP-COMET-based decision model re-identification for continuous decision-making in the complex network environment
B Kizielewicz, J Wieckowski… - 2023 18th Conference …, 2023 - ieeexplore.ieee.org
In recent years, complex networks have gained significant attention for their practical
potential in data analysis and decision-making. However, assessing node relevance in …
potential in data analysis and decision-making. However, assessing node relevance in …
The Compromise-COMET method for identifying an adaptive multi-criteria decision model
Data normalization is a fundamental part of preprocessing in decision-making problems. It
enables aggregating and comparing different decision attributes using Multi-Criteria …
enables aggregating and comparing different decision attributes using Multi-Criteria …
Lojistik işletmelerinin performansının bir hibrit ÇKKV modeli ile değerlendirilmesi
Özet Lojistik sektörü, tedarik zincirlerinin başarısı için zaman ve maliyetin önemi nedeniyle
günümüzün küresel iş ortamında oldukça önemli bir rol oynamaktadır. Lojistik işletmelerin …
günümüzün küresel iş ortamında oldukça önemli bir rol oynamaktadır. Lojistik işletmelerin …
Sustainable Agility Culture—The Case of a Pasta Company
A Bartkowiak, M Butlewski - Sustainability, 2023 - mdpi.com
The ability of an organization to be agile, and, therefore, the organizational culture of agility
that determines it, is a key characteristic necessary for enterprises to meet the challenges of …
that determines it, is a key characteristic necessary for enterprises to meet the challenges of …
Decision Support System Based on MLP: Formula One (F1) Grand Prix Study Case
Neural networks are widely used due to the adaptability of models to many problems and
high efficiency. These solutions are also gaining popularity in the design of Decision …
high efficiency. These solutions are also gaining popularity in the design of Decision …
Big data analytics software selection with multi-criteria decision-making methods for digital transformation
T Öztaş - Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü …, 2024 - dergipark.org.tr
In the process of transitioning to digital businesses, managers are faced with numerous
decision-making challenges across various domains. This complexity poses a significant …
decision-making challenges across various domains. This complexity poses a significant …