This research proposes a new distribution system of goods in the historical center of the city of Santiago, Chile. For the design of the urban logistic system, the methodology city logistics and last mile are used. This design incorporates to the freight transport flexible solutions that improve the efficiency of the distribution process and trade supply, minimizing the environmental impact of the atmospheric pollution (AP). The proposal was made through the data collection, the characterization of the sector and the diagnosis of the urban logistics processes. The analysis of the factors allowed to evaluate the costs of the AP negative externalities. The causes were used as design criteria for the proposals, with the aim of improving the quality of life of the city users. The physical location selection of the Cross-Docking was made through an optimization model of maximum coverage. The optimization algorithm of the nearest neighbor was proposed for vehicle routing. The analytic hierarchy process (AHP) was used to generate a ranking of the best non-polluting vehicles to be used in the zone. Finally, the results obtained allowed a 53 ton decrease in carbon dioxide in the square kilometer and reduced 1103 h of interruptions per year in the vehicular congestion of the sector.

In this paper, we present the cost of capital estimation for highway concessionaires in Chile. We estimated the cost of equity and the cost of debt and determined the capital structure for each one of twenty-four concessionaires that operate highways. We based our estimations on the developments of Sharpe (1964), Modigliani and Miller (1958), and Maquieira (2009), which were also compared with the Brusov et al. (2015) developments. We collected stock prices for different highway concessionaires around the world from Google Finance and Reuters' websites in order to determine the Beta of equity using a representative company. After that, we estimated the cost of equity considering Hamada (1969) and a Capital Asset Pricing Model. Then, we estimated the cost of capital using the cost of debt and the capital structure of Chile's highway concessionaires. With all above, we were able to determine the Weighted Average Cost of Capital (WACC) for highway concessions which ranges from 5.49 to 6.62%.

The aim of this work is to present a selection mechanism of forecast models to contribute to demand estimation in a supply chain. At present, to estimate a product future demand, several forecast models based on historical informationquantitative and qualitative-are used. When companies face this situation, they select a group of forecast models (usually based on a visual basis of the time series), then estimate, and with the forecast error measurement criteria decide which the best method is. But they always have to estimate over all the selected forecast models. Based on that, this paper introduces an alternative methodology to estimate the best-forecast model without the need to estimate all the forecast models or complement with another technique (visual). To do so, the main theoretical fundaments associated to this new methodology are addressed, and then the methodology itself is presented in order to be applied in two real cases of Chilean companies to finally conclude the results of the described mechanism.

The measure of complexity of Lempel-Ziv (LZC) is used for the analysis of time series generated by dynamic systems with the objective of determining its complexity. This work measures LZC of different series coming from periodic functions, probabilistic functions, and chaotic systems. Later, these metrics of complexity are applied to the average of the number of parts in the waiting line in a manufacturing workshop. The results demonstrate the efficiency of the LZC to establish the level of the dynamic behavior of the manufacturing systems, through the time series.

The study proposes a measure of semantic similarity to solve the wide variety of business process recovery problems, these measures allow to compare the processes of business models useful for reuse, redesign or reengineering process. A metric that demonstrates the similarity between a reference model or fragment of it is proposed. These metrics focus on the activities that make up a business process and are developed through three measures: syntactic, linguistic and semantic similarities. The results show that the proposed measure is suitable for reuse purposes in manufacturing processes, being a useful tool in the area of knowledge management and process administration.

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This research proposes an inventory management system based on a periodic review model for a medical equipment company. The work aims to reduce inventory volume and out-of-stock and to improve service levels. The proposed methodology is a combined ABC/XYZ classification using the patterns and magnitude of demand under the constraints of spare parts cost. For the ABC/XYZ classification, we propose a model to forecast demand; and we evaluate eight forecasting methods to adjust the classification characteristics. The results obtained allow the reduction of arrears, an increased service level, and a decrease in average inventory.