Conference Agenda

Abstract: The study was conducted in Otuzco–Cajamarca (Peru) and aimed to formulate and evaluate functional gummies made from cushuro and natural fruits. The objectives were to determine the optimal combinations of ingredients, evaluate sensory acceptance in children aged 6 to 12, analyze the nutritional value of the final product, and validate its viability using production planning tools.

The methodology included the experimental development of three formulations (strawberry, peach, and mango), a sensory test with 30 children, and the use of production tools such as PAP, PMP, BOM, and MRP to ensure operational feasibility. The results showed an overall acceptance rate exceeding 80%, with the strawberry formulation being the most popular. Nutritional analysis revealed higher levels of protein, calcium, and iron than those found in conventional children's snacks.

The findings indicate that Frutishuro is a technically, nutritionally, and commercially viable product with the potential to help reduce childhood anemia and promote healthy eating habits. The project's impact is reflected in the utilization of cushuro as an undervalued nutritional resource, the creation of a healthy snack accepted by children, and the implementation of a production plan applicable to future food ventures.

This proceedings paper reframes an applied study that designs and implements a Quality Management System (QMS) aligned with ISO 9001:2015 at Montalvo Salon & Spa – San Miguel. The study addresses inconsistent service outputs and gaps in training, documentation, and monitoring. Using SERVQUAL and a Customer Satisfaction Index (CSI) together with internal process reviews, the largest expectation–perception gaps were found in responsiveness and empathy, revealing opportunities for process standardization and competency management. The proposed QMS follows four phases: (i) diagnosis and gap analysis; (ii) process design and documentation with risk‑based thinking; (iii) capacity building; and (iv) performance evaluation through KPIs, internal audits, and management review. The approach connects with environmental and occupational aspects via ISO 14001 and ISO 45001 to ensure safe, hygienic operations. Expected outcomes include higher satisfaction scores, fewer nonconformities and complaints, and a stronger culture of continuous improvement under PDCA. The contribution is a replicable blueprint for high‑contact services in emerging markets

The project addresses the issue of the low service level in a Peruvian textile company dedicated to yarn production. During the review of performance indicators, it was found that its average OTIF stands at 68.22%, a value below the national benchmark, which results in additional costs due to storing delayed orders, penalties, and idle time. Based on the diagnostic assessment conducted in the maintenance and warehouse areas, along with the analysis of historical data, several causes were identified that explain the process deficiencies: difficulty locating spare parts, disorganization in the maintenance warehouse, and the absence of an integrated maintenance plan. In response to this situation, a proposal combining three tools was developed. The ABC-XYZ analysis made it possible to organize and prioritize spare parts according to their importance and demand patterns. The implementation of a Kardex system helped register and control incoming and outgoing items in a more orderly way, reducing picking errors. Finally, a planned maintenance program (TPM) was designed, incorporating preventive and predictive tasks to reduce unplanned downtime. The proposal was validated through simulation, comparing the current situation with the improved scenario (AS-IS; TO-BE). The projected results indicate that the OTIF could increase to 77.95%, along with a significant reduction in search times, unexpected failures, and operational overcosts. The study shows that integrating these tools generates a strong impact on the company’s operations and response capacity, contributing to a more stable and predictable production environment.

Abstract–This study describes the design and implementation of an ERP system developed in Excel to optimize the management of the finished goods warehouse at Lácteos Huacariz. The organization exhibited recurring problems related to manual records, lack of traceability, discrepancies between physical and recorded inventory, and the absence of a reliable history of movements. In response, an assessment of the current process was conducted, the root cause was identified using quality tools, and a modular ERP system based on buttons and linked sheets was developed, capable of recording entries, exits, daily inventories, and an operations history. The results demonstrate that the system improved inventory accuracy, ensured traceability, reduced information retrieval times, and facilitated operational decision-making. Similarly, limitations related to staff training and initial resistance to change were identified. In conclusion, the proposed ERP constitutes a viable and low-cost solution for small and medium-sized enterprises, enabling more efficient warehouse management and providing the foundation for future technological and operational improvements.

This paper designs and field-validates a Food Safety Management System (FSMS) for a micro-restaurant in Callao, Peru (“Fuente de Soda Billy”) aligned with ISO 22000:2018 and Codex-HACCP. We translate regulatory and technical requirements into short, observable routines that survive peak demand, staff turnover, and limited space. Methodologically, we combine structured walkthroughs, PRP/SSOP audits, hazard analysis to identify CCPs, and a pre-/post-training microbiological assessment. A lightweight governance layer (risk-based reviews, competence, and document control) turns improvements into stable practice. We add a data-driven monitoring plan (time-temperature compliance, daily verification, and weekly audits) and propose a simple statistical design to validate effects on hygiene indicators. Results expected and supported by the literature include reduced microbial loads on equipment and food-handler hands, fewer nonconforming dishes, and improved customer-facing reliability. We contribute an FSMS blueprint tailored to micro-operators: crisp CCP limits and monitoring routines embedded in the job, traceability that works under budget constraints, and a validation protocol replicable by similar kitchens.

This systematic literature review aimed to analyze the application of machine learning techniques to optimize sampling and data analysis in mineral exploration. The PICO model was used to structure the search strategy in the Scopus database, focusing on studies published between 2020 and 2025. After applying defined inclusion and exclusion criteria, 21 scientific articles were selected that addressed inefficiencies in geoscientific data handling and proposed machine learning-based solutions. The results revealed that models such as deep neural networks, transfer learning, and random forest algorithms improved the accuracy of mineralized zone detection, reduced operational costs, and mitigated geospatial uncertainty. Among the most effective strategies were geochemical co-simulation, data augmentation techniques, and cross-validation methods. Additionally, some studies integrated physical simulations and hybrid approaches, enhancing the overall quality and reliability of the exploration process. Despite these advances, common limitations were identified, including reliance on outdated legacy datasets, limited field validation, and a lack of standardization in evaluation metrics. Furthermore, the adoption of advanced machine learning techniques has been primarily led by large corporations with access to high-performance computing and extensive geoscientific datasets. In conclusion, machine learning demonstrates strong potential to enhance the efficiency and precision of mineral exploration, particularly in uncertain and data-scarce environments. However, further development of interpretable, robust, and adaptable models is essential. Future research should emphasize field validation, integration with geological frameworks, and accessibility to high-quality geoscientific data.