Interval analysis on non-linear monotonic systems as an efficient tool to optimise fresh food packaging

When few data or information are available, the validity of studies performing uncertainty analysis or robust design optimisation (i.e., parameter optimisation under uncertainty) with a probabilistic approach is questionable. This is particularly true in some agronomical fields, where parameter and variable uncertainties are often quantified by a handful of measurements or by expert opinions. In this paper, we propose a simple alternative approach based on interval analysis, which avoids the pitfalls of a classical probabilistic approach. We propose simple methods to achieve uncertainty propagation, parameter optimisation and sensitivity analysis in cases where the model satisfies some monotonic properties. As a real-world case study, we interest ourselves to the application developed in our laboratory that has motivated the present work, that is the design of sustainable food packaging preserving fresh fruits and vegetables as long as possible.

► Interval analysis on monotonic dynamical models.
► Use of monotonic properties to achieve robust design.
► Uncertainty and sensitivity analysis.
► Using interval-valued objective functions to evaluate fuzzy sets of optimal values.
► Optimising food packaging to preserve food shelf life.