Robust Market Launch Planning for a Multi- Echelon Pharmaceutical Supply Chain
Publication: Research - peer-review › Article in proceedings – Annual report year: 2011
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Robust Market Launch Planning for a Multi- Echelon Pharmaceutical Supply Chain. / Hansen, Klaus Reinholdt Nyhuus; Grunow, Martin; Gani, Rafiqul.
In: 21st European Symposium on Computer Aided Process Engineering. Vol. 1 Elsevier, 2011. p. 935-939 (Computer Aided Chemical Engineering; No. 29).Publication: Research - peer-review › Article in proceedings – Annual report year: 2011
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TY - GEN
T1 - Robust Market Launch Planning for a Multi- Echelon Pharmaceutical Supply Chain
A1 - Hansen,Klaus Reinholdt Nyhuus
A1 - Grunow,Martin
A1 - Gani,Rafiqul
AU - Hansen,Klaus Reinholdt Nyhuus
AU - Grunow,Martin
AU - Gani,Rafiqul
PB - Elsevier
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 - Robustness Optimization
KW - Recourse-based stochastic programming
U2 - 10.1016/B978-0-444-53711-9.50187-5
DO - 10.1016/B978-0-444-53711-9.50187-5
SN - 978-0-444-53895-6
VL - 1
BT - 21st European Symposium on Computer Aided Process Engineering
T2 - 21st European Symposium on Computer Aided Process Engineering
T3 - Computer Aided Chemical Engineering
T3 - en_GB
SP - 935
EP - 939
ER -