This study addresses the optimization of the bottling process in the wine industry, focusing particularly on the filtration stage, which accounts for approximately 30% of the total costs in the value chain. In the context of significant global production, but with challenges arising from declining demand and increasing costs, precise planning becomes necessary to ensure product quality and operational efficiency in order to control and minimize the costs associated with resource usage. The work proposes an operational approach based on a mixed-integer programming model that optimizes the sequencing of batches on the filtration and bottling lines, integrating setup times that depend on the processing order. An analysis of prevailing practices in the Chilean wine industry is conducted, complemented by a literature review that identifies knowledge gaps, particularly regarding the influence of the wine’s physicochemical properties and the potential for filter blockage. The results of the model allow for reduced processing times and improved batch allocation, highlighting the importance of considering hydraulic and operational variables for more precise planning. Furthermore, the study discusses the limitations of the current approach and suggests future directions to continue optimizing production processes in the wine industry.

The wine industry uses filtration systems to remove particles that could compromise the quality of wine before bottling. However, traditional systems present significant operational limitations, such as volume restrictions, intensive handling, and risks associated with high-pressure devices. This study addresses these challenges by proposing an innovative solution: a pneumatic pumping system that delivers a pulsed flow under constant pressure, replacing conventional pressurized tanks for clogging tests. This approach not only reduces analysis time by 66.2% but also improves operational safety and enables the development of new indicators that are not limited by tank volume. To validate this proposal, a robust methodological framework was developed, integrating techniques and methodologies typically addressed separately into a single comprehensive approach. This includes evaluating the reproducibility of measurements, performing a comparative analysis of hydraulic performance under standard conditions, quantifying the impact on processing times, and assessing user perceptions. This approach demonstrates that the proposed device contributes to faster operational decision-making without exposing workers to unnecessary risks while optimizing resource usage. It addresses a previously underexplored technical challenge and establishes a solid foundation for future research, highlighting its academic relevance and impact beyond a technical implementation.

The wine industry uses filtration systems to remove particles that could compromise the quality of wine before bottling. These systems, based on surface filtration media, trap particles that cause a clogging effect reducing the available area and decreasing the bottling flow rate. This clogging has a significant economic impact, as it deteriorates production times and increases operational costs, mainly due to higher labor demands. To obtain timely information on the performance of the filtering and bottling system, the industry uses indicators such as the maximum volume index, the filtration index, and the modified filtration index, which measure clogging potential. These are obtained through laboratory tests conducted at constant pressure under controlled conditions to replicate the industrial process. Traditional de-vices use pressurized tanks, where an inert gas at 30 psi pushes the fluid through a filter disc. However, these systems have disadvantages, such as requirement of intensive operational han-dling and the associated risks with high pressure devices. To address these challenges, a new constant-pressure system for wine filtration testing was de-veloped, utilizing a pneumatic pumping system without the need for a pressurized tank. This device, equipped with pressure regulators and hydraulic connections, reduces analysis time by 66.2% while improving operational safety. The validation of the device included statistical anal-yses showing that the samples processed by both devices were statistically similar. Additionally, a user survey revealed a high level of satisfaction with the new device compared to the traditional pressurized tank system. This approach has led to a tangible solution that is closely aligned with the specific needs of the industry, highlighting the practical application of scientific knowledge to address real industry challenges.