A system dynamics model was developed with the primary purpose of visualizing the behavior of a supply chain (SC) when it adopts a disruptive technology such as additive manufacturing (AM). The model proposed a dynamic hypothesis that defines the following issue: what is the impact of the AM characteristics and processes in the SC? The model was represented through a causal diagram in thirteen variables related to the SC, organized in two feedback cycles and a data flow diagram, based mainly on the three-essential links of the SC and the order display traceability: supplier–focal manufacturer–distribution Network. Once proposed, the model was validated through the evaluation of extreme conditions and sensitivity analysis. As a result, the dynamic behavior of the variables that condition the chain management was analyzed, evidencing reduction times in production, especially in products that require greater complexity and detail, as well as reductions in inventories and the amount of raw material due to production and storing practices from AM. This model is the starting point for alternative supply chain scenarios through structural operating policies and operating policies in terms of process management.

In order to describe the impact that the appropriation of additive manufacturing (AM) has on the supply chain (SC), a validated system dynamics model representing vectorially multiple products and multiple demands in different periods was used as a basis to apply to a case study of medical implant manufacturing, configuring three chain scenarios: 1. traditional supply chain with subtractive manufacturing, 2. centralized supply chain with additive manufacturing, and 3. decentralized supply chain with additive manufacturing. It was possible to notice that the production time is longer in additive manufacturing compared to traditional manufacturing and the cycle time and total demand closure were lower in traditional manufacturing. In addition, it was observed that the AM performance is significantly better in conditions of lower demand, which can be attributed to the characteristics of customization and small batches that this type of production approach implies.

On the occasion of the 20th anniversary of the discovery of acrylamide in food, an analysis of patents related to the mitigation of this compound in food products obtained through immersion frying was carried out. For this purpose, a comprehensive search, compilation, and information analysis were conducted using free online databases such as Google Patents, Patenscope, and Lens. The search yielded a total of 79 patents within the considered time period (2002-2022). The countries with the highest number of granted patents were the United States, the European Union, and South Korea. The patents were classified into four main approaches: raw material modification (49%), application of pre-treatments (27%), process modification (16%), and measurement techniques (8%). Among the results, Frito-Lay, an American company, stands out as the food industry company with the highest number of granted patents, totaling 15. Based on this review, it is concluded that while a significant number of patents have been granted in recent years, there is still a lag in developing countries. Furthermore, more studies are needed to determine acrylamide in starchy food matrices subjected to immersion frying different from potatoes.

Additive manufacturing (AM) is rapidly transforming clinical workflows in dentistry by enabling the customized, efficient, and digitally integrated production of dental devices. However, the existing literature lacks a process-oriented perspective on its technical and operational impact. This study aims to address this gap through a dual-phase analysis using the Input–Transformation–Output (ITO) framework, providing practical insights into the operational reconfiguration enabled by AM. The first phase examined materials, image acquisition methods, design and lamination software, printing technologies, and key parameters across each stage of the AM workflow. The second phase analyzed four clinical applications (dental models, crowns and bridges, occlusal splints, and surgical guides) supported by a structured fabrication protocol and scanning electron microscopy (SEM) of 18 resin samples to assess surface quality and process-related defects. In addition, for each application, a comparative process analysis with traditional workflows was conducted using ASME diagramming. The findings indicate that AM reduces cycle times, manual intervention, and supply chain reliance while enabling production models such as Make-to-Order (MTO) and Engineer-to-Order (ETO). Its integration also fosters decentralized, in-clinic manufacturing with enhanced autonomy, flexibility, and reduced lead times. Nonetheless, this study highlights persisting challenges, including post-processing quality control, training requirements, and cost-efficiency concerns in low-volume settings. A hybrid model combining AM with conventional methods emerges as a pragmatic strategy for clinical adoption.

Based on the design of a proposal to mitigate the environmental impact generated by lead-based batteries for automobiles, an environmental impact assessment was carried out using the Vicente Conesa method, where it was discovered that the most negative impacts on the environment are those produced by the treatment of the electrolyte and the lead and acid recovery. Subsequently, a comparison was made between the current process and the ideal one, obtaining a model developed in the FlexSim software. After executing the relevant simulations for the study, it was evident that performing the proposed model represents an increase in the duration of the final disposal stage of the batteries, the previous as a result of the implementation of stages associated with the treatment of recycled batteries remnants, such as plastic, acid, and lead. However, standardizing the proposed model would suppose significant mitigation in the different environmental impacts generated by said process, managing to avoid legal sanctions by environmental authorities.

The following article is meant to analyze from a qualitative and quantitative approach the effects of business strategies on the financial performance of small, medium and large companies in the plastic and rubber industry at the Bucaramanga Metropolitan Area.The research began by compiling the financial indicators available at Camara de Comercio de Bucaramanga to, later on, apply a Likert-type survey to characterize the strategic orientation and performance of the companies during 2017. This information was statistically analyzed using the SPSS software. A cluster and an ANOVA analysis were carried out with the following indicators: competitive factors, perception of effectiveness, ROA and ROE. After the analysis, it was possible to determine that 58% of the companies have an analytical strategic orientation, followed by a 31.5% of companies with a defensive profile, and 10.5% of companies with a prospective one. While the operating margin is the most influential factor, the growth rate is the one with the most significant variation according to entrepreneurs' perception. Researchers determined that companies' strategies do not influence the assets turnover, debt ratio, internal leverage, return on assets and operating margin; however it was possible to notice a positive relationship between external leverage indicators and return on equity. This research serves as a foundation for future academic exploration in one of the economic sectors that currently demand the most critical challenges in terms of environmental awareness.