[Implementation of an Advanced Planning and Scheduling System in a pharmaceutical context].

Optimizing its supply chain has now become more than a necessity for any company seeking to expand its national and international market, so that it is able to continue its progress and fulfil its obligations towards its employees and its customers, particularly in the pharmaceutical context. The Covid-19 pandemic has shown the importance of resilience in the pharmaceutical industry to deal with unexpected disruptions and high demand from patients and authorities. Better production planning based on data management and predictive analysis, through the use of new Industry 4.

A new rolling forecasting framework using Microsoft Power BI for data visualization: A case study in a pharmaceutical industry.

Context And Objectives: Demand forecasting is a vital step for production planning and consequently, for supply chain efficiency, especially for the pharmaceutical (pharma) supply chain due to its unique characteristics. Numerous models and techniques that are proposed in the literature but little in concrete and generic framework to forecasting process, mainly for pharmaceutical supply chain. Unlike studies in the literature, this study not only perfectly predict the sales of a pharma manufacturer, but also visualize the results via a developed dashboard using modern information technology and business intelligence.