Robust Market Launch Planning for a Multi-Echelon Pharmaceutical Supply Chain

Klaus Reinholdt Nyhuus Hansen, Martin Grunow, Rafiqul Gani

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)935-939
Number of pages5
JournalComputer Aided Chemical Engineering
Volume29
DOIs
StatePublished - 2011

Keywords

  • Market launch planning
  • Multi-echelon pharmaceutical supply chain
  • Recourse-based stochastic programming
  • Robustness optimization

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