Estrategias para cubrir la demanda insatisfecha en una f\'abrica alimenticia

TL;DR

This paper presents a case study using a nonlinear programming model to diagnose and address supply shortages in a food manufacturing plant, emphasizing the importance of accurate problem diagnosis for effective solutions.

Contribution

The paper introduces a nonlinear programming approach to diagnose supply shortages in a food factory, providing a practical framework for solving such issues.

Findings

Effective identification of supply shortage causes

Optimized solutions for unmet demand

Improved decision-making process

Abstract

Supply shortage could be a serios problem in production facilities, and an accurate diagnosis of its cause is crucial for its solution. This work presents a case study for determining a solution by means of a nonlinear programming model.