Conference Agenda

This research aimed to improve stock control in a pharmaceutical trading MYPE located in Trujillo (Peru) through the implementation of Lean Logistics tools during 2025. A quantitative approach with a preexperimental pretest–posttest design was employed. The initial diagnosis revealed critical shortcomings in the inventory system, including unreliable manual records, lack of standardized procedures, absence of Kardex control, warehouse disorganization, and a high incidence of stockouts and expired products. The pre–post comparison showed relevant operational improvements: inventory accuracy increased from 82.35% to 97%, stockouts decreased from 72.5% to 54%, expired products were reduced from 27.5% to 18%, and inventory turnover increased from 8.54 to 9.68 times per month. Inferential analysis using a one-sample t-test indicated significant differences for inventory accuracy (p = 0.0089) and stockouts (p = 0.0043), a marginal improvement for expired products (p = 0.052), and a non-significant change in inventory turnover (p = 0.513), suggesting more immediate impacts on operational control than on indicators dependent on commercial dynamics. The results show that Lean Logistics can strengthen stock control performance in pharmaceutical MYPEs with limited resources; however, extending the evaluation period is recommended to confirm the sustainability of the improvements.

This research aimed to determine the relationship between consumer insight and customer loyalty in logistics companies in Callao. The methodology employed was correlational, with a non-experimental, cross-sectional design. A 31-item Likert-type questionnaire was used as the data collection instrument, administered to a sample of 152 employees from logistics companies in Callao. The results showed no significant relationship between the two variables. In conclusion, logistics companies in Callao prioritize other factors, such as job completion, punctuality, and service quality, over considering customer preferences.

The objective was to determine the relationship between the transportation system and foreign trade in the transportation sector in Peru. A quantitative, non-experimental, cross-sectional approach was used, with a descriptive and correlational level. The sample consisted of 107 transportation operators who completed a questionnaire evaluating the transportation system and foreign trade. The data were processed using descriptive statistics and correlational analysis. The frequency results revealed that the perception of the transportation system is moderately favorable. In addition, most of the evaluations focused on aspects of flexibility, communication, and compliance with delivery times, while weaknesses were identified in terms of safety, capacity, and infrastructure. Regarding the perception of foreign trade, clarity, transparency, and documentary efficiency showed positive results, although with limitations in terms of logistics and operational flexibility. A relationship was found between the transportation system and foreign trade (Rho = 0.601; p<0.001), with the strongest correlation in delivery time (Rho = 0.575; p<0.001), mode of transport (Rho = 0.537; p<0.001), and infrastructure (Rho = 0.366; p<0.001) with foreign trade. It is concluded that the efficiency of the transport system is a key component for foreign trade. Improving the transport system in terms of infrastructure, diversifying modes of transport, reducing logistics times, and digitizing documents are determining factors in strengthening international competitiveness.

Rural road infrastructure, often referred to as the "last mile," is a critical determinant for the competitiveness of agricultural supply chains in developing countries. This study evaluates the impact of road surface conditions on the logistics efficiency of banana transport in the San Lorenzo del Mate – Puerto Posorja corridor, Ecuador. A mixed-method approach was employed, integrating technical measurement of the International Roughness Index (IRI) using accelerometric sensors and GPS (RoadLab Pro), with a qualitative analysis based on interviews with local logistics stakeholders. The results reveal a significant structural gap: the unpaved section presents a weighted average IRI of 9.17 m/km (classified as "Very Poor"), severely limiting operating speeds and damaging vehicle fleets, whereas the paved section records an IRI of 4.34 m/km ("Fair"). The analysis confirms that high roughness, exacerbated by the lack of drainage works at critical points, leads to total supply chain disruption during the rainy season, causing product loss and cost overruns. It is concluded that priority intervention must integrate hydraulic works alongside pavement rehabilitation to ensure the logistical resilience of the export sector.

We develop an integrated optimization framework combining transportation network modeling and dynamic pricing to maximize net margins in liquefied petroleum gas distribution. Applied to a selected gas firm, our approach addresses simultaneous procurement cost minimization and revenue management under price volatility, capacity constraints, and heterogeneous demand elasticities. Using 2024 operational data (167,475 transactions across 83 customer clusters), we demonstrate that the integrated model reduces unit procurement costs by 1.5\% while increasing net margins by 30\% depending on volume constraints. The transportation component employs linear programming to minimize weighted procurement costs across nine LPG sources. The pricing module estimates cluster-specific demand curves and applies markup rules derived from constant-elasticity theory. Iterative coupling converges in 5--6 iterations to internally consistent solutions. Commercial clusters exhibit near-zero price sensitivity while residential distributors show elastic demand, creating opportunities for price discrimination that capture substantial value in commodity distribution networks.

Urban intersections located near areas with high pedestrian activity often experience elevated traffic demand and significant delays between pedestrians and vehicles, increasing accident risk and travel times. In this context, this study evaluates the effectiveness of an adaptive traffic signal system in reducing pedestrian–vehicle interaction conflicts, considering both formal crossings at intersections and informal pedestrian crossings or non-conventional desire lines located outside designated crosswalks.
Three cases were modeled using VISSIM software: (1) Case 1, representing the intersection under existing conditions, with its current geometry and conventional signal control; (2) Case 2, similar to the first, incorporating a geometric redesign and a reorganization of pedestrian and vehicular flows, including bus stop relocation and pedestrian channelization; and (3) Case 3, which maintains the geometric adjustments from Case 2 and introduces an adaptive signal control system with dynamic phase timings based on real-time user demand.
The results indicate that Case 1 exhibits the highest levels of delay and conflicts. In Case 2, the geometric redesign reduces conflicts by approximately 40%, but increases vehicular delay by about 25%. Finally, Case 3 achieves a cumulative reduction of nearly 47% in vehicular delay and improves pedestrian flow conditions, demonstrating that adaptive traffic signal control enhances both vehicular mobility and pedestrian safety at formal and informal crossing locations.