PEC12-25 CAPEC-PROCESS Industrial Consortium ... - DTU Orbit

CAPEC-PROCESS
3.4 External PhD-students (projects)
Klaus Reinholdt Nyhuus
Hansen (KRNH)
DTU Management - CAPEC
satisfied product attributes is the main goal of this study. In
order to achieve the objectives, four key tasks are needed.
Firstly, the general chemical blending problem is formulated.
Then, the property models are identified to estimate the pure and
mixture properties. The unavailable property models are being
developed by using experimental data and appropriate modeling
tools. Next, the chemical mixture/blend algorithm is developed
in order to find the best mixture/blend using suitable solution
strategy. Finally, the developed mixture/blend algorithm is
applied to case studies and validated with experimental data.
Supervisors: RAG, JW, KVG
Start: 01-06-2010; End: 01-05-2013
Research area: A, B, C
New product introduction for the pharmaceutical industry
It is well known, that the pharmaceutical industry is struggling
with increasing cost and length of R&D projects. Earnings of a
drug drop drastically after patent expiration. Thus, the industry
spends much effort on reducing Time-to-Market. However, a
suitable methodology for planning operations immediately prior
to launch is especially lacking.
Due to strict cleaning requirements, production setups are very
long. Production volumes are thus large and intermittent and the
entire supply chain becomes rigid and inflexible. Besides
forecast uncertainty, which is difficult for new products, other
risks and uncertainties from carrying out reimbursement
negotiations with authorities in each market e.g. reimbursement
levels and product price can also disrupt the execution of a
market launch.
In this project a MILP-based methodology for planning
operations before and during market launch is developed, which
fits into the S&OP structure of pharmaceutical companies while
considering risks and uncertainties. The methodology should be
connected to the existing methodologies; pipeline planning,
capacity planning and production planning.
Supervisors: Renzo Akkerman (DTU-MAN); Martin Grunow;
RaG
Start: 01-09-2009; End: 31-08-2012
Research area: D, E
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