Conference Agenda

Retail supply chains are increasingly required to deliver operational efficiency while meeting sustainability goals, positioning sustainable practices as critical levers for performance improvement. This systematic literature review examines the impact of sustainable practices on retail supply chain management. A Scopus-based search and screening process was structured using PICOCT components and reported following the PRISMA protocol, resulting in 54 articles and conference papers with available full text. The findings indicate that implementation is mainly constrained by (i) technological–organizational limitations, (ii) operational–cultural deficiencies, and (iii) economic–contractual barriers. The most frequently reported practices were food waste management (35.2%), sustainable packaging (25.9%), and digital circular models (18.5%). Across the included evidence, these practices were associated with waste reductions of 20–40%, a 24.2% decrease in greenhouse gas emissions, and profitability improvements of approximately 15%, supporting measurable positive effects on operational, economic, and environmental performance in retail. Future research should strengthen the integration of sustainable practices with Industry 4.0 technologies to improve scalability, traceability, and impact measurement

The frozen food logistics sector faces high rejection rates in 3PL operations due to low equipment availability, the absence of real-time temperature monitoring, and a lack of standardized operating practices. This study employs a quasi-experimental empirical methodology that integrates Total Productive Maintenance (TPM), IoT sensors for continuous temperature monitoring, and the development of standardized work procedures. The results show an annual reduction in rejected orders from 3142 to 42, an increase in OTIF from 84% to 99.76%, an increase in MTBF to 952 h, and a decrease in MTTR to 0.92 h.
The main contribution of the work lies in empirically demonstrating the technical and economic viability of an integrated improvement model for the cold chain in 3PL operators, supported by an NPV of S/ 169,868, an IRR of 36% and a B/C ratio of 7.58.

Multimodal transport faces challenges stemming from uncertainty, deficiencies in information management, and poor coordination among logistics stakeholders. This study aims to determine the relationship between the use of smart technology and the efficiency of multimodal transport in an international freight company in Lima, as well as to propose improvement strategies. Using a quantitative approach, a non-experimental design, and a correlational scope, Spearman's rank correlation coefficient and chi-square tests were applied. The results show a positive and significant relationship and association (ρ = 0.553; χ² = 17.8; p < 0.05). Three innovative strategies are proposed: Multimodal Connectivity Platform, Predictive Logistics Risk Intelligence, and a Digital Collaborative Network, all aimed at strengthening logistics management. In conclusion, the use of smart technology enhances logistical efficiency and strengthens the operational management of multimodal transportation in companies.

Global trade in the Pacific basin increasingly depends on how efficiently ports connect with their hinterlands through rail and road-based logistics networks. This article compares the emerging Chancay–Central Highway system in Peru with the mature rail and intermodal network serving Sydney’s Port Botany. A mixed case study design combines recent literature on port governance, smart ports and risk management with official statistics, the Container Port Performance Index and operational indicators from port authorities and terminal operators. The analysis focuses on four dimensions: maritime capacity and performance, hinterland infrastructure and intermodality, governance and risk, and strategic positioning in global trade corridors. Results show a marked asymmetry between maritime capacity and inland connectivity in both cases. Chancay is being developed as an integrated deep-water logistics platform linked to trans-Pacific routes, but its performance will depend on overcoming bottlenecks along the Central Highway, Andean connections and Lima’s metropolitan freight network, and on managing geopolitical and governance risks associated with a single foreign-controlled operator. Port Botany already handles high container volumes and has substantial unused terminal capacity, yet remains constrained by limited rail share, urban congestion and fragmented institutional responsibilities. The article concludes that intermodality is shaped less by engineering decisions than by the alignment of governance, risk management frameworks such as ISO 31000, regulation and long-term public investment, and argues that Chancay offers Peru an opportunity to embed rail, dry ports, digital port community systems and risk governance from the outset.

At urban intersections with high vehicular and pedestrian demand, vehicle-pedestrian conflicts represent a recurring problem for road safety and operational efficiency, necessitating the evaluation of new traffic control strategies that prioritize both mobility and the protection of vulnerable users. This study analyzes the effectiveness of different traffic signal systems at urban intersections with high vehicular and pedestrian demand, focusing on conflicts between vehicles and pedestrians. Three approaches were compared: fixed-time signalization, adaptive signalization based on traffic flow, and adaptive signalization based on vehicle–pedestrian conflict detection.
The methodology included detailed modeling of the intersection using PTV VISSIM, control logic implementation in VISVAP, and safety analysis through SSAM. Data collection was conducted using RPA footage and field observations, allowing a realistic representation of traffic behavior. Results showed that the conflict-based adaptive system achieved a 50.9% reduction in total conflicts, recording 1081 interactions compared to 2204 in the fixed-time system It also maintained an average crossing time of 7.96 seconds, slightly higher than conventional adaptive traffic lights (7.86 s), but lower than the fixed system (8.26 s). In terms of operational performance, it reached a traffic flow of 1996 vehicles per lane per hour, a value comparable to that of the traditional adaptive model (2080 veh/lane/h). This strategy proves to be an effective and replicable solution for complex urban intersections.

Abstract– This study aimed to describe and characterize the monthly seasonality of Peruvian avocado exports using FOB value, net weight, and monthly unit value (FOB/weight), and to identify intra-annual and year-on-year variations over 2015–2025. A quantitative, descriptive, non-experimental, and longitudinal design was applied, based on customs records aggregated monthly for HS code 0804400000. The methodology combined stacked monthly seasonal profiles by year, concentration measures derived from monthly shares of annual totals, and a seasonal decomposition to separate trend, seasonal, and irregular components. Additionally, the avocado export window was benchmarked against other major fresh exports (grapes, mango, asparagus, and blueberries) through standardized monthly participation to detect recurrent overlaps. Results showed sustained expansion, with FOB increasing from USD 306 million to USD 1.421 billion and volumes rising from 176 thousand to 804 thousand tons, while unit values fluctuated, indicating that growth was primarily quantity-driven rather than price-led. A persistent seasonal pattern was confirmed, with structural concentration in May–August and peaks typically occurring between May and July. The comparative analysis revealed recurring overlaps with other campaigns, increasing simultaneous demand for cold-chain capacity, inspections, transport, and port services. The study concluded that seasonality constituted a strategic variable for logistics efficiency and risk reduction. Recommendations included institutionalizing an evidence-based monthly operating calendar, securing early container and cold-chain bookings, coordinating stakeholders to stagger deliveries within peak months, diversifying exit routes where feasible, and strengthening monthly analytics for near-real-time operational monitoring.