Demand forecasting in pharmaceutical supply chains: A case study

April 30, 2019

Demand forecasting plays a critical role in logistics and supply chain management. In the paper, state-of-art methods and key challenges in demand forecasting for the pharmaceutical industry are discussed. An integrated procedure for in-market product demand forecasting and purchase order generation in the pharmaceutical supply chain is described. A case study for supply of pharmaceutical products from a wholesaler to a distribution company located in an emerging market is presented. Alternative forecasting scenarios for thebaseline demand calculations using the SMA model, multiple linear regressions and symbolic regression with genetic programming are experimentally investigated, and their practical implicationsare discussed.

Spotlight

Azurity Pharmaceuticals

CutisPharma, Inc., based in Wilmington, MA, is a privately held, specialty pharmaceutical company focusing on the development and commercialization of value-added proprietary drug products and technologies in the prescription compounding sector of the pharmaceutical industry. Product line and development efforts initially are focused on providing optimized, more efficient alternatives for the preparation of the nearly 10 million currently compounded prescriptions, by offering FIRST® Unit-of-Use Prescription Compounding Kits. Use of these branded compounding kits will be beneficial to all triad participants, namely physicians, pharmacists, and patients. Three U.S. patents have been issued to the Company with several additional patents pending.

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