The objective of this research was to analyze scenarios through decision making and risk analysis, which was applied in the construction of a cruise ship in the Atlantis project. The methodology that was used is quantitative based on event information, which through a graphical representation facilitated the understanding and interpretation of the decision tree, in addition, statistical methods were applied for risk analysis, it should be noted that in order to obtain data was considered that of other studies. The results obtained from the decision tree were that the first alternative that was proposed had a NPV of $3,970, the second of $3,405 and regarding the risk analysis, the coefficient of variation of the first option is 57% and the second 60%. Therefore, after having made the graphical representation and verified the risk, it is concluded that, for the construction of the cruiser, option 1 has the most viable decision regarding the path traced in the graph, the highest NPV and the lowest risk.
The present research evaluated the influence of the concentration of sodium hydroxide and aminopropyltrimethoxysilane on the thermal stability of the aguaje fibers. The fibers were extracted by manual immersion in water and subsequent separation by manual pressure. The NaOH concentrations were 5%, 10% and 15% w / v; while in the case of the silane coupling agent they were 1% and 1.5% v / v. The chemically treated fibers together with the control samples were subjected to thermogravimetric analysis evaluation, in addition, the variation of the humidity percentage, the chemical variation of the main functional groups of the fibers and the surface physical changes of the fibers were determined in a complementary way. The mercerization - silanization treatments increase the thermal degradation temperature of the aguaje fibers, in the conditions tested this increase was 3.89% in the best of cases (5% NaOH + 1.0 Silane). Regarding untreated fibers, mercerization - silanization treatments decrease the percentage of lost mass or degradation, in the best of cases this decrease in mass percentage was 26.85% (15% NaOH + 1.5 Silane), compared to fibers without treatment. Finally, mercerization-silanization treatments increase the percentages of cellulose present in the aguaje fibers evaluated, while the amount of extractives and lignin decrease, under the chemical treatment conditions carried out in the present research.
This article had the purpose of showing the results of the investigation of certain factors that participate in terms of competitiveness and attractiveness in mining. The positive and negative aspects of the main open pit mines in the La Libertad region in the period 2022 were analyzed in detail, which are: Lagunas Norte (Boroo Misquichilca), La Arena (Pan American Silver) and El Toro (Summa Gold). Corporation). The type of research was descriptive, because the data was analyzed and described; in terms of attractiveness, the road infrastructure, location, mission and vision, certifications and concessions were evaluated and in terms of competitiveness, its production, plant capacity, investments in exploration, useful life of the mine, hours worked without accidents and number of personal, as a result of the investigation it was obtained that within the three mining companies subjected to the study the most attractive and competitive company is the Lagunas Norte Mining unit operated by Boroo Misquichilca.
The research design was quantitative with a predictive scope, real information on monthly copper prices since September 2020 was used to August 2022. The models used as time series forecasting methods were moving average forecasting, weighted moving average, simple exponential smoothing, Holt exponential smoothing, and Winters exponential smoothing. The adjustment of the methods to the original model used the coefficient of determination (R2) and the mean absolute percentage error (MAPE) as a measure of precision. The result indicated that the best method is simple exponential smoothing, where the forecast copper price for September 2022 was $3.60/lb, the mean absolute percentage error (MAPE) was 4.4% and the coefficient of determination (R2) was 0.86. Finally, it is concluded that with the time series forecasting methods it is possible to forecast the price of copper.
This research is focused on the production of quality biogas, under the monitoring of production parameters; with the general objective of determining the difference between the calorific power and the thermal performance of biogas produced from organic solid waste and liquefied petroleum gas. The results obtained show a biogas with a specific heat of 958 Kcal/m 3 and thermal yield of 9.25% , in addition to a productio n between 1.8 to 2 m 3 of biogas for every 100L of daily load ; T he Anderson Darling test was applied to determine the normality of the data and the ANOVA test to contrast the results. This concluding that the levels of calorific power and thermal performance of biogas are of a high and functional level for any rural and urban project desp ite being lower than those of LPG, providing a reliable proposa l fo r optimization of its waste and implementation of clean biogas production techniques.
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