Application of machine learning in supply chain management: a comprehensive overview of the main areas
EB Tirkolaee, S Sadeghi, FM Mooseloo… - Mathematical …, 2021 - Wiley Online Library
In today's complex and ever‐changing world, concerns about the lack of enough data have
been replaced by concerns about too much data for supply chain management (SCM). The …
been replaced by concerns about too much data for supply chain management (SCM). The …
Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature
Considering the coronavirus disease 2019 (COVID‐19) pandemic, the government and
health sectors are incapable of making fast and reliable decisions, particularly given the …
health sectors are incapable of making fast and reliable decisions, particularly given the …
Designing a vaccine supply chain network considering environmental aspects
In the fight against SARS-COV-2, the vaccine has become a ubiquitous preventive measure.
Vaccination programs for COVID-19 are inadvertently creating large amounts of bio-medical …
Vaccination programs for COVID-19 are inadvertently creating large amounts of bio-medical …
Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms
This study develops a novel mathematical model to design a sustainable mask Closed-Loop
Supply Chain Network (CLSCN) during the COVID-19 outbreak for the first time. A multi …
Supply Chain Network (CLSCN) during the COVID-19 outbreak for the first time. A multi …
Strategies to overcome barriers to innovative digitalisation technologies for supply chain logistics resilience during pandemic
Logistics is a crucial function for any organisation. In the scenario of a pandemic or other
disruptions, the role of logistics becomes even more important. Digitalisation of logistics and …
disruptions, the role of logistics becomes even more important. Digitalisation of logistics and …
An extended multi-criteria group decision-making method with psychological factors and bidirectional influence relation for emergency medical supplier selection
S Liu, X He, FTS Chan, Z Wang - Expert Systems with Applications, 2022 - Elsevier
The COVID-19 pandemic outbreak spread rapidly worldwide, posing a severe threat to
human life. Due to its unpredictability and destructiveness, the emergency has aroused …
human life. Due to its unpredictability and destructiveness, the emergency has aroused …
Heuristic approaches to address vehicle routing problem in the Iot-based waste management system
Nowadays, population growth and urban development lead to having an efficient waste
management system (WMS) based on recent advances and trends. Alongside all functions …
management system (WMS) based on recent advances and trends. Alongside all functions …
Fuzzy integrated cell formation and production scheduling considering automated guided vehicles and human factors
In today's competitive environment, it is essential to design a flexible-responsive
manufacturing system with automatic material handling systems. In this article, a fuzzy mixed …
manufacturing system with automatic material handling systems. In this article, a fuzzy mixed …
An allocation-routing optimization model for integrated solid waste management
Integrated smart waste management (ISWM) is an innovative and technologically advanced
approach to managing and collecting waste. It is based on the Internet of Things (IoT) …
approach to managing and collecting waste. It is based on the Internet of Things (IoT) …
Mapping healthcare waste management research: Past evolution, current challenges, and future perspectives towards a circular economy transition
Improper healthcare waste (HCW) management poses significant risks to the environment,
human health, and socio-economic sustainability due to the infectious and hazardous nature …
human health, and socio-economic sustainability due to the infectious and hazardous nature …