A Practical Tool for Managing the Complexity of Biologics Process Manufacturing

DESCRIPTION provided by applicant Biologics manufacturing based on cell culture techniques represents a tremendous advance in the pharmaceutical industry The use of biological rather than chemical processes result in unique therapeutics with greater profitability a knowledge based barrier to entry and the ability to develop therapeutics targeted at specific subsets of the population i e personalized medicine Remarkable progress has been made by molecular biologists in the research and development of novel cell culture techniques The future of the pharmaceutical industry relies heavily upon the effective management of biologics manufacturing processes Process uncertainty and variability are inherent in biologics manufacturing These factors are critical barriers to success which must be overcome if we are to manage biologic processes as effectively as possible The proposed project aims to deliver an innovative product based on a high fidelity andquot virtual biologics plantandquot which can accurately capture the dynamics and interactions of the process and allow for accurate scenario analysis The methodologies and features proposed may provide dramatically new capability for reducing capital costs improving yield and profitability and allow new strides to be made towards personalized medicine We propose a Phase II NIH SBIR project to address the critical barriers of high cost high process uncertainty and variability This project aimed at developing a software product utilizing a virtual biologics plant has the following specific aims and approaches Aim Enhance the management of biologics production processes by developing Rapid Response techniques within our VirtECS R Scheduling Engine to deal with process variability Our approach will be to develop an intuitive interface supported by the solver for rescheduling which incorporates new information from the user on process conditions labor availability or resource levels Aim Develop an effective Early Warning System as a new module for VirtECS R which uses Sim Opt process simulation to forecast potential process upsets and provide a new proactive approach to process management We will utilize simulation optimization techniques to automatically identify andquot at riskandquot activities and provide analysis to identify the underlying tasks which lead to highest probability of negative events Aim Improve operations by creation of a web based Schedule centric Communications and Collaboration Tool A web based schedule centric tool will be developed for desktop and mobile viewers providing up to date information on the state of the plant and allow users to comment on the schedule Aim Integrate these features with the ability to support perfusion as well as fed batch bioreactors in a new software product VirtECS R Biologics We will extend Phase I results to perfusion based biologics facilities provide new capability to optimize pooling formulations and decrease variability PUBLIC HEALTH RELEVANCE The ultimate goal of this project is to develop a versatile software package to optimize the scheduling of biologics plants which make advanced medicines This package will provide powerful capabilities for designing and operating pharmaceutical facilities in a way that reduces cost for the consumer and which may allow the era of personalized medicine to take a great step forward The aim of this Phase II project is to develop a powerful fully functional prototype of such a system based on the VirtECS R Scheduling Engine