Conference Agenda

Abstract—The purpose of this research was to analyze the effect and usefulness of various Lean Manufacturing tools in the industrial sector, with special emphasis on their influence on process productivity compared to traditional methods or partially implemented practices. To this end, an exhaustive search was conducted in two of the main scientific databases, Scopus and Web of Science (WOS), initially retrieving 1,213 documents. After applying inclusion and exclusion criteria, the sample was reduced to 40 studies considered the most relevant and impactful, with a predominant focus on the manufacturing sector. The results show that the tools Value Stream Mapping (VSM) and 5S are the most analyzed in the reviewed studies, highlighting their effectiveness in improving product quality, increasing productivity, and reducing operating costs. Likewise, it was identified that the active participation of top management and the joint commitment of different organizational areas foster a stronger implementation of the Lean approach. This comprehensive involvement strengthens organizational culture, optimizes processes, and stands out as a key factor in achieving efficient and sustainable industrial production.

The generation of organic waste (OW) represents one of the major environmental challenges worldwide, mainly due to its contribution to pollution and greenhouse gas emissions. Several countries have promoted strategies for the valorization of OW through processes such as composting, aiming to reduce its final disposal in landfills. This article proposes the design of a logistics system for distributing compost produced from OW generated at fresh food markets with the objective of minimizing transportation and operational costs. A Mixed-Integer Linear Programming (MILP) model is formulated, integrating multiperiod routing decisions, demand allocation, and operational constraints such as vehicle capacity, service times, and working-hour restrictions. The model is applied to a case study in Vi ˜na del Mar, Chile, considering the distribution of compost to municipal parks and green areas over a planning horizon. Computational experiments are conducted to analyze the behavior of the logistics system as a function of vehicle capacity and key parameters (minimum and maximum demand). Results indicate that it is possible to satisfy the total compost demand required by the considered green areas within the planning horizon when using a single vehicle with capacities greater than 8 tons. These findings highlight the potential of mathematical modeling as a decision-support tool for sustainable OW management at the municipal level, providing insights for policymakers and practitioners seeking efficient and environmentally responsible solutions.

This study applies a mixed-integer linear programming model to solve the location-allocation problem for recyclable household waste bins in the communes of Cerro Navia and Quinta Normal, Santiago, Chile. The model determines optimal bin placement in public spaces and assigns residents to collection sites within a maximum walking distance. Three scenarios are evaluated: individual planning for each commune and a collaborative scenario promoting inter-municipal cooperation. Results show that collaboration reduces infrastructure costs by 1.2% (USD $2,400) while improving average walking distance by 4.6% and increasing bin utilization from 85\% to 87.3%. Sensitivity analysis reveals that participation rate drives system scale linearly, while maximum bins per site is not a binding constraint. Collaboration generates savings at all participation levels tested. The findings suggest that joint optimization of collection networks across municipal boundaries can improve both cost efficiency and service accessibility without additional investment.

Food supply chains are experiencing a sustained increase in return volumes due to product expiration, handling and transportation damage, order fulfillment errors, demand variability, and commercial policies. These returns trigger reverse logistics processes that incorporate additional transportation, inspection, sorting, and disposal activities, generating significant costs that are often neither systematically quantified nor explicitly integrated into logistics planning and strategic decision-making.

The objective of this study is to determine the proportion represented by transportation costs associated with food product returns in Costa Rica relative to total transportation costs, considering both deliveries and returns to and from the distribution centers of five modern retail supermarket chains. To achieve this objective, a discrete-event simulation model was developed to integrate forward and reverse distribution processes between the manufacturer and the analyzed chains, incorporating operational variability and logistical constraints.

The results indicate that return-related costs exhibit stable and predictable behavior, with an estimated average annual cost of $14,486.06, equivalent to 29.24% of total transportation costs. The low relative variability (coefficient of variation of 4.44%) and the approximately symmetric distribution suggest a mature and well-controlled logistics system. These findings highlight the need to explicitly incorporate reverse logistics into the evaluation and optimization of food distribution systems in order to enhance economic efficiency and operational sustainability.

This paper evaluates the surface and functional condition of the flexible pavement on the Cutervo–Cochabamba subsection (Peru) using laser-based technologies, applying the Pavement Condition Index (PCI) and the International Roughness Index (IRI) in compliance with ASTM D6433-07 and E950 standards. The Laser Crack Measurement System (LCMS) was employed to automate distress detection and provide accurate longitudinal profile measurements. Results indicate that 85.1% of the pavement is in “Very Good” to “Excellent” condition. However, certain segments exhibited severe distresses, and some average IRI values exceeded 3.5 m/km, potentially compromising ride comfort and user safety. Consequently, a road maintenance plan is proposed, prioritizing interventions such as asphalt slurry sealing, crack sealing, and localized resurfacing, with an estimated investment of USD 1.84 million. This approach, grounded in non-destructive inspection technology and objective data, supports optimized pavement management, extends service life, and enhances road performance. It also offers a replicable methodology for high-altitude road infrastructure in similar contexts.

The growing Asian demand for Peruvian minerals has intensified international logistics and its environmental impacts. This study evaluates the sustainability of mining exports to Asia by integrating Life Cycle Assessment (LCA), per ISO 14040–14044 standards, with Environmental Activity-Based Costing (ABC Environmental). The results identify maritime transport as the primary critical stage, accounting for 75–82% of greenhouse gas emissions, 73–78% of energy consumption, and 78–82% of total environmental costs. Land transport shows a moderate contribution, while port operations remain marginal at 2.6–4.5% of total emissions. Scenario analysis indicates that adopting alternative marine fuels could reduce emissions by 18–22%; however, this increases environmental costs by USD 40–120 per ton, revealing a significant trade-off between environmental performance and economic feasibility. The study concludes that the sustainability of Peru’s mining logistics depends primarily on maritime decarbonization and improved efficiency in land and port operations. The integration of LCA and ABC-Environmental models provides a robust framework for strategic decision-making toward more efficient and responsible supply chains.