Scheduling in Food Industry: a case study of SOSEMIE

Abstract

This thesis explores an optimization model for pasta packaging scheduling at SOSEMIE, an Algerian pasta manufacturer, addressing challenges through an op- timization approach. The model aims to enhance efficiency through the following steps: · Building an Optimization Model: Developing an accurate mathematical framework to represent the scheduling problem. • Defining the Objective: Minimizing the weighted sum of active production days over a 20-day horizon to reduce operational costs and improve efficiency. • Visualizing Results: Creating clear visual aids that highlight the best scheduling solutions. keywords: Operations Research, Mixed-Integer Linear Programming (MILP), Scheduling, Pasta Packaging, Food Industry, Optimization, SOSEMIE, Production Lines, Silo Capacity, Family-Based Constraints, Changeover Time, Gantt Chart, Pyomo, MOSEK, CBC Solver