Hospital reconversion in response to the COVID-19 pandemic using simulation and multi-objective genetic algorithms.

With the outbreak of the novel coronavirus SARS-CoV2, many countries have faced problems because of their available hospital capacity. Health systems must be prepared to restructure their facilities and meet the requirements of the pandemic while keeping their services and specialties active. This process, known as hospital reconversion, contributes to minimizing the risk of contagion between hospital staff and patients and optimizing the efficient treatment and disposal of healthcare wastes that represent a risk of nosocomial infection contagion.

Multi-period optimal design of an aerospace CFRP waste management supply chain: Data set, variables and criteria for the development of a multi-objective MILP model.

This paper presents the data set, variables and criteria for the development of a multi-objective and multi-period Mixed Integer Linear Programming (MILP) model for the deployment and design of an aerospace CFRP (Carbon Fibre Reinforced Polymer) waste supply chain. It involves ε-constraint, lexicographic techniques and Multiple Criteria Decision Making (MCDM) tools. In this model, the deployment of new recycling sites (Grinding, Pyrolysis, Supercritical Water, Microwave) is established.

A multi-period optimisation approach for deployment and optimal design of an aerospace CFRP waste management supply chain.

This paper presents a modelling framework for the deployment and design of aerospace CFRP (Carbon Fibre Reinforced Polymer) waste supply chain. The problem involves a multi-period Mixed Integer Linear Programming (MILP) formulation considering ε-constraint, lexicographic techniques and Multiple Criteria Decision Making (MCDM) tools. The methodology has been applied to a case study of France.

Extending the scope of eco-labelling in the food industry to drive change beyond sustainable agriculture practices.

New consumer awareness is shifting industry towards more sustainable practices, creating a virtuous cycle between producers and consumers enabled by eco-labelling. Eco-labelling informs consumers of specific characteristics of products and has been used to market greener products. Eco-labelling in the food industry has yet been mostly focused on promoting organic farming, limiting the scope to the agricultural stage of the supply chain, while carbon labelling informs on the carbon footprint throughout the life cycle of the product.

Selection of CalB immobilization method to be used in continuous oil transesterification: analysis of the economical impact.

Enzymatic transesterification of triglycerides in a continuous way is always a great challenge with a large field of applications for biodiesel, bio-lubricant, bio-surfactant, etc. productions. The lipase B from Candida antarctica (CalB) is the most appreciated enzyme because of its high activity and its non-regio-selectivity toward positions of fatty acid residues on glycerol backbone of triglycerides.

A multiobjective optimization framework for multicontaminant industrial water network design.

The optimal design of multicontaminant industrial water networks according to several objectives is carried out in this paper. The general formulation of the water allocation problem (WAP) is given as a set of nonlinear equations with binary variables representing the presence of interconnections in the network. For optimization purposes, three antagonist objectives are considered: F(1), the freshwater flow-rate at the network entrance, F(2), the water flow-rate at inlet of regeneration units, and F(3), the number of interconnections in the network.