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3104. Fruit-based juice production process: a lot-sizing and scheduling problem

Invited abstract in session TB-29: Applications of combinatorial optimisation in industry and services II, stream Combinatorial Optimization.

Tuesday, 10:30-12:00
Room: 157 (building: 208)

Authors (first author is the speaker)

1. Deisemara Ferreira
Department of Physics, Chemistry and Mathematics, Federal University of São Carlos
2. Juan Sebastian Piñeros
Administración Logística, Universidad Iberoamericana

Abstract

This study deals with the planning and programming production problem of a fruit-based beverage company. This is a two-stage lot sizing and scheduling problem (tank and machine stages) with some specific features, such as a production buffer between the stages and a periodic clean-in-place (CIP) in each stage. Companies spend around 20% of the day cleaning line equipment. These features make this problem different of other beverage problems and includes additional difficulties to solve it.

This problem with these characteristics is difficult to solve for large real instances and has great applicability. Based on a mathematical model analytical methods are proposed, in order to support decision making in a more efficient way in the planning and lot sizing seeking to minimize the costs associated with production.

Computational tests were performed with instances found in the literature, based on real data, and with generated instances. The proposed methods were tested and the results were compared with the best method found in the literature for the problem under study.

Acknowledgments: This work was supported by the São Paulo Research Foundation (FAPESP) under Grants numbers 2023/08977–5, 2022/05803-3; the Brazilian National Council for Scientific and Technological Development (CNPq) under Grant number 315874/2021–0.

Keywords

Status: accepted

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