Topics

Topic 1: Disaster management in Humanitarian supply chain

This part covers all aspects of disaster management, hazard mitigation and emergency medicine in the relief supply chain context, associated with both natural and anthropogenic hazards such as: floods, earthquakes, landslides, fires, epidemics, transportation, climate change, fake news and others that have affected human societies.

The topics to be presented to the seminar are as the following and presentations on other subjects related to the objectives of the seminar are also welcome.

• Disaster modelling under uncertainties: flooding epidemic risk, road accidents, wild fires…
• Emergency medicine in crisis situation
• Facility location problem in humanitarian supply chain
• hospital supply chain and disaster management
• AI in Emergency Logistics

Topic 2: Modelling and Optimization of supply chain

Advancements in decision analytics are transforming the focus of supply chain management. A critical element will be the evolution of traditional supply chains towards a resilient, connected, smart and highly efficient supply chain. Accurate and effective decision support from advanced data analytics, simulation, modelling and optimization tools and methods are required in order to sustain these complex supply chain operations.

This section includes optimization models of supply chain and transport network, and different algorithms used in both static and dynamic conditions of logistics. Besides, the supply chain is marked by uncertainties and risks that can arise during operational processes and that negatively affect the performance of the supply chain: hence, this section contains:

• Modelling and optimization methods
• Simulation of dynamic systems
• Dynamics in distribution logistics: static VRP, Dynamic VRP…
• Uncertainty, risk, resilience and performance in supply chain

Topic  3: Modelling of industrial processes in the era of industry 4.0

Industry 4.0 uses several advanced tools and technologies, thus helping to redefine conventional industrial processes. Industry 4.0 has enormous potential effect in many areas, and its application will have an impact across the entire value chain, improving production and engineering processes.

This section discusses the key components, drivers, implementation challenges and a new technologies of industry 4.0, such as AI, Big data, IT platforms, RFID technologies, IOT, Cloud computing, advanced robotics, smart factories, Digital twin, etc. The technical areas include but are not limited to the following:

• Smart technologies: AI, big data, IT platforms…
• Industrial processes optimization, modelling and Simulation
• Industry 4.0: Inventory management 4.0, smart maintenance, intelligent factories …
• Advances in Transport Network Optimization

Topic 4: Green logistics and Sustainability

Logistics is perceived as a key sector to contribute to sustainable development meeting the future generations needs in terms of low greenhouse gas emissions in a socially and economically responsible way. However, it is has become one of the largest sectors of greenhouse gas emissions. The transport and logistics industry has been investing in new practices and technologies in the movement towards greener logistics. Actually, green logistics is a crucial strategy for a sustainable enterprise by interlinking economic, environmental and social aspects. The aim of this section ‘Green Logistics and Sustainability’ is to investigate the current and future of sustainable logistical operations and how green logistics can bring a competitive advantage to firms from various perspectives.

• Sustainable, green supply chain and reverse logistics
• Renewable energies in manufacturing processes
• Green transportation and warehousing
• Sustainable Design and Operations of Logistics Facilities
• Key performance indicators in green supply chain
• New technologies in green logistics operations
• Optimization models for green logistics
• Risk management in green supply chain