Sustainability assessment of novel chemical processes at early stage: application to biobased processes

Application of life cycle assessment to chemical processes

The literature on the application of life cycle assessment (LCA) to process industry products and particularly to chemical processes has been reviewed. The main purpose of an LCA is to provide a quantitative assessment of the environmental impact of products over their entire life cycle, with a view to making improvements. Application to processes, which are key parts of the life cycle, is impo...

Application of Markov Processes to the Machine Delays Analysis

Production and non-productive equipment and personnel delays are a critical element of any production system. The frequency and length of delays impact heavily on the production and economic efficiency of these systems. Machining processes in wood industry are particularly vulnerable to productive and non-productive delays. Whereas, traditional manufacturing industries usually operate on homoge...

Application of Grey Numbers to Assessment Processes

The theory of grey systems plays an important role in science, engineering and in the everyday life in general for handling approximate data. In the present paper grey numbers are used as a tool for assessing with linguistic expressions the mean performance of a group of objects participating in a certain activity. Two applications to student and football player assessment are also presented il...

the role of application of dynamic assessment approach in improvement of iranian efl writing performance at different language proficiency levels

the present study sought to investigate the role of dynamic assessment (da) in improvement of iranian efl writing performance at different language proficiency levels. to this end, after conducting the quick placement test, 60 iranian efl learners were assigned to two groups with different language proficiency levels. in both groups each participant wrote two compositions, one before and one af...

application of affine gray-box neural models for nonlinear control of chemical processes