2024/11/28 by Margarita Miguelina Mieras, Mieras, Margarita Miguelina, Tania Daiana Tobares +7
Decision Sciences · Engineering · #Assembly Line Balancing Optimization #FOS: Electrical engineering #FOS: Mathematics #Operations Management Techniques #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2412.02714
openalex publication_date 2024/11/28 · openalex created_date 2024/12/06 · openalex updated_date 2026/07/28
This research presents the development of a new simulation model to determine the optimal order lot sizes in Material Requirements Planning, based on purchase volume and the temporal deterioration of items. The scientific novelty lies in the exhaustive enumeration of all supply strategies, considering when and how much raw material and/or inputs to acquire while simultaneously managing multiple factors. The developed model enables obtaining and visualizing all feasible solutions, though a significant challenge arises when dealing with larger planning horizons. The methodology includes formulating a mathematical equation to calculate the total cost of all supply strategies, taking into account quantity discounts and the maximum allowable shelf life of inventory items. The results demonstrate that the model thoroughly explores the entire search space and identifies the optimal solution. Validation is conducted using the tabu search heuristic, a widely recognized optimization technique. While the heuristic converges toward the global minimum, it requires a significantly higher computational load. In contrast, the developed model identifies the global minimum with fewer calculations, showcasing its efficiency and accuracy.