TY - JOUR
T1 - Robust Market Launch Planning for a Multi-Echelon Pharmaceutical Supply Chain
AU - Hansen, Klaus Reinholdt Nyhuus
AU - Grunow, Martin
AU - Gani, Rafiqul
PY - 2011
Y1 - 2011
N2 - 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. In the literature, little attention is given to drug launching activities after the drug has been approved. In this paper, we present a recourse-based stochastic model, which allows for time phasing the market entries to balance the fluctuating demand with the fixed and periodic production of the active pharmaceutical ingredient. The two major risk elements during launch are forecasting inaccuracy and the risk of a required label change from local regulatory authorities. Robust solutions are found by implementing the Robust Optimization framework.
AB - 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. In the literature, little attention is given to drug launching activities after the drug has been approved. In this paper, we present a recourse-based stochastic model, which allows for time phasing the market entries to balance the fluctuating demand with the fixed and periodic production of the active pharmaceutical ingredient. The two major risk elements during launch are forecasting inaccuracy and the risk of a required label change from local regulatory authorities. Robust solutions are found by implementing the Robust Optimization framework.
KW - Market launch planning
KW - Multi-echelon pharmaceutical supply chain
KW - Recourse-based stochastic programming
KW - Robustness optimization
UR - http://www.scopus.com/inward/record.url?scp=79958834651&partnerID=8YFLogxK
U2 - 10.1016/B978-0-444-53711-9.50187-5
DO - 10.1016/B978-0-444-53711-9.50187-5
M3 - Article
AN - SCOPUS:79958834651
SN - 1570-7946
VL - 29
SP - 935
EP - 939
JO - Computer Aided Chemical Engineering
JF - Computer Aided Chemical Engineering
ER -