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process improvement

Process Mass Intensity Prediction Calculator

The Process Mass Intensity (PMI) Prediction Calculator was created by the ACS GCI Pharmaceutical Roundtable member companies, with leadership from Bristol-Myers Squibb, to predict a range of probable process efficiencies of proposed synthetic routes at various phases of drug development. The tool uses historical PMI data from multiple pharmaceutical companies and predictive analytics (Monte Carlo simulations) to estimate the probable PMI ranges.

Convergent Process Mass Intensity Calculator

Process Mass Intensity is a common metric used in industry to measure the overall amount (or mass) of materials used to create a given amount (mass) of product. This calculator builds on the original Process Mass Intensity (PMI) calculator to accommodate convergent synthesis. Developed by the ACS Green Chemistry Institute Pharmaceutical Roundtable, the Convergent PMI Calculator uses the same calculations but allows multiple branches for single-step or convergent synthesis.

Process Mass Intensity Calculator

Decreasing the overall quantity of materials used to manufacture a final product is a significant challenge for pharmaceutical companies. Because of the large amount of solvent used in typical manufacturing processes, decreasing materials used saves companies money (less purchased and less energy used in workup and isolation). The Process Mass Intensity (PMI) metric was developed as a way to benchmark and quantify improvements towards greener manufacturing processes.

Innovative Approaches for the Sound Management of Chemicals and Chemical Waste (IAMC) Toolkit

The toolkit “Innovative Approaches for the Sound Management of Chemicals and Chemical Waste” (IAMC), developed in a framework of the UNIDO project*, aims to facilitate the implementation of innovations in the production and application of chemicals in order to reduce the consumption of chemicals, energy and water while improving the sound management of chemicals and reducing risks related to chemical accidents.