Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 1st June 2025, 04:31:41am CST

 
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Session Overview
Session
25F
Time:
Thursday, 17/July/2025:
1:20pm - 2:30pm

Virtual location: VIRTUAL: Agora Meetings

https://virtual.agorameetings.com/
Session Topics:
Virtual

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Presentations
1:20pm - 1:28pm

Economic Efficiency and Sustainable Management in the Waste Industry: The Case of Inter Trans Jireh

Harold Pittman Ruiz, Scarley Porras Martínez, Cynthia Elías Giordano

Universidad Peruana de Ciencias Aplicadas, Perú

Economic efficiency is a critical challenge in solid waste management, a sector where companies like Inter Trans Jireh face notable deficiencies. This research details the issue of low economic efficiency, exacerbated by poor management and planning practices at Inter Trans Jireh.

An innovative solution is proposed through the implementation of sophisticated Enterprise Resource Planning (ERP) tools, such as advanced inventory management systems and logistics route optimization. The analysis focuses on how integrating these tools can radically transform the company's operational and economic efficiency.

The study is supported by a robust theoretical framework that emphasizes the critical importance of effective solid waste management and its direct impact on economic performance and environmental sustainability. Using techniques such as flowcharts and SIPOC diagrams, a comprehensive diagnosis of the operational environment at Inter Trans Jireh is conducted, tailoring the ERP solution to its specific needs.

A pilot phase is implemented to verify the effectiveness of this integrated strategy, using specific indicators to assess improvements in economic efficiency, including cost reduction and operational time optimization. The results demonstrate significant improvements in the economic efficiency of Inter Trans Jireh, providing a model for more sustainable and profitable management in the solid waste industry.



1:28pm - 1:36pm

Evaluation Model of Work Fatigue Causes in Underground Mining Drivers Using the PDCA Cycle

Carlos Jeanfranco Vilchez-Guerrero, Guillermo Nicanor Diaz-Huaina, Yaneth Charito Vasquez-Olivera, Carlos Raymundo

Universidad Peruana de Ciencias Aplicadas, Perú

Work fatigue is a critical risk factor in underground mining, particularly among transport drivers, due to long working hours, lack of sleep, and the monotony of routes. These factors compromise worker safety and operational efficiency. To address this issue, an occupational health and safety management system was designed using the PDCA cycle (Plan, Do, Check, Act), which provides a structured framework to identify and mitigate fatigue-related risks.

In the context of the Ticrapo mining project, located in Huancavelica, Peru, strategies such as scheduled breaks, task rotation, and continuous monitoring of drivers’ conditions were implemented. These actions, supported by surveys and historical incident analyses, allowed for the prioritization of critical areas and adjustments to safety measures. As a result, significant reductions in fatigue-related incidents and improvements in drivers’ working conditions were achieved.

This management model not only enhances safety at the Ticrapo mining project but also offers a replicable approach for other mining operations facing similar challenges, contributing to the sector's sustainability and productivity.



1:36pm - 1:44pm

Personnel management model for reducing patient waiting time through sequential notification and staff motivation in a private polyclinic in Chincha

Milena Ascoy Saucedo, Yarlin Mego Montalvo, Carlos Cespedes, Carlos Torres

Universidad Peruana de Cienccias Aplicadas, Perú

The research article focuses on addressing the challenge of reducing waiting times at a private polyclinic in Chincha, Peru, with the goal of enhancing both efficiency and the quality of healthcare services. A meticulous strategy based on the DMAIC methodology was implemented, comprising two essential pillars: fostering the intrinsic motivation of staff and adopting an appointment management system with sequential notifications. It is worth noting that the research utilized keywords such as process optimization, time reduction, waiting times, patient satisfaction, among others.

After a 9-month implementation period, substantial improvements were observed, including a 54% reduction in non-compliance with work schedules and a 42% increase in medical care through pre-scheduled appointments. This resulted in a notable reduction in waiting times, decreasing from 125 to 49 minutes for patient care. These results highlight the positive impact of both intrinsic motivation and appointment management on the efficiency of the healthcare center. The findings emphasize that the DMAIC methodology, supported by efficient appointment management and the implementation of digital tools, constitutes a valuable resource for reducing waiting times and improving the quality of care in healthcare centers.

These results not only have significant implications for the polyclinic in question but also provide a useful framework for other healthcare facilities facing similar challenges.

Furthermore, the implementation of this strategy enabled greater transparency and coordination among healthcare professionals, improving communication and collaboration within the medical team. The reduction in waiting times also enhanced patient satisfaction, leading to increased loyalty and recommendations for the healthcare center.



1:44pm - 1:52pm

Business Model to Reduce Sugary Drink Consumption with an Amazonian Fruit Beverage Sweetened with Yacon Syrup Using Lean Methodologies

Angie Saboya Napan, Daniela Tataje López, Maribel Perez Paredes, Carlos Torres Sifuentes

Universidad Peruana de Ciencias Aplicadas, Perú

The predominance of ultra-processed and sugary beverages in the market has created an urgent need for nutritious alternatives. This issue significantly impacts public health, highlighting the necessity for healthier options. Despite efforts by the World Health Organization to promote healthy eating, natural and nutritious products remain scarce. This study offers an innovative solution: an Amazonian fruit beverage sweetened with yacon syrup.

To validate this proposal, a combinatory model integrating Lean Startup and Scrum was developed, structured into five phases to enable rapid and efficient product development iterations. The validation process included surveys of 384 university students and adults from socioeconomic levels A/B - C. The beverage was technically and experimentally evaluated, showing high acceptance. Among respondents, 87.5% confirmed the prevalence of ultra-processed products and the difficulty in finding natural options. In organoleptic tests, the beverage received high average scores for taste (3.5), aroma (3.4), and sweetness (3.3) on a 1-to-4 scale.

Regarding the business model, 55% of respondents accepted a price range of 7 to 9 soles, and 90% preferred receiving promotions via social media. The study confirms the beverage’s market acceptance and commercial viability. The conclusion is that the proposed product meets the demand for healthy options and demonstrates high market potential.



1:52pm - 2:00pm

Monte Carlo Methodology Applied to Rockfall Prevention in Underground Mines in Central Peru

Jail Portillo – Salvador, Tania Gavilano–Alvarado, Humberto Pehovaz-Alvarez

Universidad Peruana de Ciencias Aplicadas, Perú

Rockfall is a common problem in the mining industry that affects the safety and health of workers during the execution of their activities. This research proposal seeks to identify the most relevant factors that can influence rockfall accidents in an underground mine. A new random simulation methodology is proposed, based on a probabilistic model that helps us predict different scenarios and offers a more comprehensive view than traditional deterministic approaches. This method is used to evaluate the impact of risk and uncertainty in many real-life scenarios. In this case, an analysis of rockfall accidents in underground mining over the last 5 years in Peru was carried out. From this analysis, the most common factors influencing rockfall and the incidence of accidents associated with each one were identified. With the collected data, 100 simulations were performed using the Monte Carlo method, which allowed us to obtain the different probability percentages of occurrence for the factors considered in this research. It was found that geological factors had an occurrence probability of 34%, the highest among all the factors analyzed.



2:00pm - 2:08pm

Mathews Empirical Method to Determine the Stability Zone of Underground Stopes in an Artisanal Mine in Central Coastal Peru

Steven Huaman-Rapri, Neil Rojas-De la Vega, Humberto Pehovaz-Alvarez

Universidad Peruana de Ciencias Aplicadas, Perú

The geomechanical evaluation of stopes is a critical component in any mining operation, especially in artisanal mines. This study focuses on the Buena Gracia artisanal mine, located on the central coast of Peru, with the objective of determining the stability zone of its stope. The Mathews empirical method is employed for this purpose, providing a graphical representation that clearly distinguishes stable and unstable zones. This representation facilitates decision-making in the design and control of the underground environment.

Empirical methods in geomechanics are vital in mining, allowing for a rapid and accurate assessment of geological structure stability based on observations and previous experiences. These methods enable informed decision-making and improve mining operation safety.

To calculate the Mathews method factors, two specialized software tools are used: RS2, which calculates the maximum induced compression stress value (σmax) for factor A; and Dips, which identifies the main discontinuity families for factor B. These factors, along with factor C and Barton’s Q, determine the stability number (N'). This stability number, combined with the stope’s hydraulic radius, provides the underground stope stability zone.

The study successfully identified the stable zones of the stope surfaces, highlighting the importance of empirical methods in artisanal mining and demonstrating how combining these methods with modern technology can improve stope safety.



 
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