Semantic Scholar Open Access 2019 111 sitasi

Demand forecasting in pharmaceutical supply chains: A case study

Galina V. Merkuryeva Aija Valberga Alexander Smirnov

Lihat Sumber DOI

Abstrak

Abstract 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.

Topik & Kata Kunci

Computer Science

Penulis (3)

Galina V. Merkuryeva

Aija Valberga

Alexander Smirnov

Format Sitasi

APA MLA BibTeX

Merkuryeva, G.V., Valberga, A., Smirnov, A. (2019). Demand forecasting in pharmaceutical supply chains: A case study. https://doi.org/10.1016/J.PROCS.2019.01.100

Akses Cepat

Lihat di Sumber doi.org/10.1016/J.PROCS.2019.01.100

Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 111×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.PROCS.2019.01.100
Akses: Open Access ✓