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Combining multiple quantitative and qualitative goals when assessing biomanufacturing strategies under uncertainty
Suzanne S Farid1, John Washbrook, Nigel J Titchener-Hooker
1The Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK. s.farid@ucl.ac.uk
Biotechnology Progress
|August 6, 2005
Summary
This study introduces a holistic method combining financial and operational bioprocess simulation data for evaluating biomanufacturing alternatives. It aids decision-making for companies choosing between stainless steel or disposable equipment for clinical trial material production.
Area of Science:
- Biotechnology
- Process Engineering
- Decision Science
Background:
- Biomanufacturing involves complex decisions with financial and operational implications.
- Evaluating alternatives requires a holistic approach beyond single-metric analysis.
Purpose of the Study:
- To present a comprehensive framework for evaluating biomanufacturing alternatives.
- To integrate financial, operational, and qualitative criteria for decision-making.
Main Methods:
- Application of the additive weighting method, a multiattribute decision-making technique.
- Incorporation of uncertainty analysis into the decision-making framework.
- Utilizing cumulative frequency curves and risk-reward plots for analysis.
Main Results:
- Demonstrated a case study comparing stainless steel pilot plants versus disposable equipment for early-phase clinical trial material.
- Showcased the method's ability to handle both quantitative and qualitative parameters.
- Illustrated how to visualize and interpret results under uncertainty.
Conclusions:
- The proposed method provides a more holistic evaluation of biomanufacturing alternatives.
- It aids companies in selecting optimal strategies based on risk preference and diverse criteria.
- The technique is valuable for start-up companies facing critical investment decisions.
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