We introduce numerical methods and algorithms to estimate the main parameters of fractal-like particle aggregates from their optical structure factor (i.e. light scattering diagrams). The first algorithm is based on a direct and simple method, but its applicability is limited to aggregates with large size parameter and intermediate fractal dimension. The second algorithm requires to build calibration curves based on accurate particle agglomeration and particle light scattering models. It allows analyzing the optical structure factor of much smaller aggregates, regardless of their fractal dimension and the size of the single particles. Therefore, this algorithm as well as the introduction of a criterial curve to detect the different scattering regimes, are thought to be powerful tools to perform reliable and reproducible analysis.

Studies linking the use of lean practices to company performance have been increasing as

markets are becoming more competitive and companies are eager for reducing waste and

therefore implementing the Lean Management (LM) philosophy to improve performance.

However, results from these studies have found various and different impacts and some light

is needed. Extant literature was reviewed and, to achieve the research objective, a metaanalysis

of correlations was carried out. The obtained results suggest a positive relationship

between some lean practices and performance measures. Furthermore, the presence of moderators

influencing the relationship between lean practices and performance outcomes is

highlighted in our results. To our best knowledge, this is the first research that proposes

a comparison of results from primary studies on Lean implementation, by analysing the

linear relationship between lean practices and enterprise performance. It fills this gap and

therefore represents an important contribution.