Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …
solutions to decision-making problems based on survey or historical data about the …
Assessing the feasibility of hyperlocal delivery model as an effective distribution channel
Purpose The successive waves of the Covid-19 SARS-II pandemic and the attendant
lockdown imposed by the governments worldwide drove the economic activities to a halt …
lockdown imposed by the governments worldwide drove the economic activities to a halt …
[HTML][HTML] An integrated stepwise weight assessment ratio analysis and weighted aggregated sum product assessment framework for sustainable supplier selection in …
Supplier selection is a difficult task imposing significant challenges for supply chain
managers in today's competitive environment. Sustainability adds another layer of …
managers in today's competitive environment. Sustainability adds another layer of …
[HTML][HTML] A decision support system for classifying supplier selection criteria using machine learning and random forest approach
Supplier selection is an important process in supply chain management that sets a
foundation for a long-term partnership with suppliers that can greatly contribute to the …
foundation for a long-term partnership with suppliers that can greatly contribute to the …
[HTML][HTML] Cyber-susiliency index: A comprehensive resiliency-sustainability-cybersecurity index for healthcare supply chain networks
Resilience, sustainability, and cyber-security are three measures in supply chains that
define how robustly supply chains perform without disruption. Although these three …
define how robustly supply chains perform without disruption. Although these three …
Navigating COVID-19: unraveling supply chain disruptions through best-worst method and fuzzy TOPSIS
Purpose The COVID-19 pandemic has caused significant disruptions to global supply
chains (SCs), affecting the production, distribution, and transportation of goods and services …
chains (SCs), affecting the production, distribution, and transportation of goods and services …
[HTML][HTML] A comparative analysis of Multi-Attributive Border Approximation Area Comparison (MABAC) model for healthcare supplier selection in fuzzy environments
S Chakraborty, RD Raut, TM Rofin, S Chatterjee… - Decision Analytics …, 2023 - Elsevier
Access to high-quality and affordable healthcare services is necessary for people
worldwide. Achieving this goal requires healthcare providers to procure the best available …
worldwide. Achieving this goal requires healthcare providers to procure the best available …
[HTML][HTML] Comprehensive quantity discount model for dynamic green supplier selection and order allocation
We model and solve a deterministic multi-period single-product green supplier selection and
order allocation problem in which the considered suppliers' availability, cost, and green …
order allocation problem in which the considered suppliers' availability, cost, and green …
[HTML][HTML] A multi-criteria decision analysis model for selecting an optimum customer service chatbot under uncertainty
RK Chakrabortty, M Abdel-Basset, AM Ali - Decision Analytics Journal, 2023 - Elsevier
Chatbots are increasingly integrated into customer support systems due to recent
developments in artificial intelligence. Chatbots can provide quick and tailored services to …
developments in artificial intelligence. Chatbots can provide quick and tailored services to …
A user review data-driven supplier ranking model using aspect-based sentiment analysis and fuzzy theory
Background: The supplier selection problem is a sophisticated decision-making process that
involves evaluating multiple factors. While previous research has primarily focused on …
involves evaluating multiple factors. While previous research has primarily focused on …