Guest Editors
Dr. Dragan Pamučar, University of Defence in Belgrade, Serbia.
Dr. Fatih Ecer, Afyon Kocatepe University, Turkey.
Dr. Fausto Cavallaro, University of Molise, Italy.
Summary
The
current World’s context has challenged supply chains, especially with regard
the resilience and sustainability aspects. The COVID-19 pandemic brought
unprecedented issues to supply chains in terms of keeping their continuity on
delivering products and services. Concurrently, the World is facing many never
seen climate issues, which has fostered several discussions on how supply
chains can produce and delivery products and services in a more sustainable
way. At the same time that pandemic and climate issues have been arisen in the
world, the fourth industrial revolution (Industry 4.0) brings many
opportunities for supply chains by the adoption of disruptive technologies.
This includes data, information and knowledge technologies, which are
integrated with physical technologies allowing to generate more efficient,
integrated, transparent and smarter supply chain’s processes.
The
advent of wearable devices, Internet of Things, Internet of vehicles tends to
stimulate deep transformations in supply chains, not only at the technological
level but also at the societal and economic level. Data is generated at a rate
of petabytes per day. Given this amount of data, intelligent processing is
needed. Also, because of the advances in high performance computing, large data
sets can now be used for training machine learning algorithms. Specifically,
deep learning paradigms enable sophisticated transformation of data into
usable, operational knowledge. Moreover, discussions in how supply chains can
act for a more sustainable and smart societies (Society 5.0) are also in the
arena. There is a demand to further explore the abundant applications of soft
computing methods, including deep learning, fuzzy logic, evolutionary methods,
and various data mining techniques. Therefore, this special issue aims to
answer a key question which is how the application of machine learning and
computational intelligence can contribute for a more sustainable and resilient
supply chains. Following this purpose, below are the potential topics for this
special issue but not limited to:
• Big
Data Analytics in Supply Chains
•
Internet of Things in Supply Chains
•
Artificial Intelligence and Machine Learning in Supply Chains
•
Blockchain Technology in Supply Chains
• Cloud
Technologies in Supply Chains
•
Digital Twins in Supply Chains
•
Robotics and Autonomous Vehicles in Supply Chains
• Cobots
and Multi-Agent Systems in Supply Chains
•
Additive Manufacturing in Supply Chains
•
Augmented and Virtual Reality in Supply Chains
•
Interoperability of Technologies in Supply Chains
•
AI-based and green-based supply chains
•
Data-driven innovations for planning and management in the supply chains
• Soft
computing methods for supply chain
•
Meta-heuristic algorithms in supply chain
•
Computational intelligence for sustainable supply chains
• Novel
or improved nature-inspired optimization algorithms in supply chains
•
Generative Adversarial Learning in supply chains
•
Intelligent transportation systems
•
Advanced machine learning and deep networks for supply chains
• Trend
analysis with big data and artificial intelligence for supply chains
Keywords
Supply chain, Big data, Internet of Things, Soft computing, Meta-heuristic, Computational intelligence, Uncertain MCDM
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