Fusão em trânsito no comércio de varejo: uma perspectiva de micronegócio

This paper suggests links between postponement, mass customization and rapid fulfilment in the light of merge-in-transit retailing (MIT). The paper asserts that the value offered by MIT implementation can be exploited only if these operational strategies are well understood. An extension of this concept is explored to critically consider whether MIT is a feasible strategy in the context of micro-businesses (MBs). MBs are usually treated as if they were big corporations that mainly follow economic-based drivers. However, the owners of MBs operate based on additional motivations such as family orientation, heritage, lifestyle, and prestige. So far, limited work has been published on MIT and strategies for operational support in the context of MBs. This paper contributes to a deeper understanding of the logistics of internet retailing, making its impact promising. Its orientation towards MBs provides an original review of a sector that is often neglected. Managers and those in charge of the design and operations of logistics systems supporting internet retailing may find this paper of interest, since the four linked concepts have not previously been discussed together. The paper may be of particular interest to MB owners

Prediction of time series using wavelet Gaussian process for wireless sensor networks

Articulo de investigacion idizado en JCR con factor de impacto 2.2The detection and transmission of a physical variable over time, by a node of a sensor network to its sink node, represents a significant communication overload and consequently one of the main energy consumption processes. In this article we present an algorithm for the prediction of time series, with which it is expected to reduce the energy consumption of a sensor network, by reducing the number of transmissions when reporting to the sink node only when the prediction of the sensed value differs in certain magnitude, to the actual sensed value. For this end, the proposed algorithm combines a wavelet multiresolution transform with robust prediction using Gaussian process. The data is processed in wavelet domain, taking advantage of the transform ability to capture geometric information and decomposition in more simple signals or subbands. Subsequently, the decomposed signal is approximated by Gaussian process one for each subband of the wavelet, in this manner the Gaussian process is given to learn a much simple signal. Once the process is trained, it is ready to make predictions. We compare our method with pure Gaussian process prediction showing that the proposed method reduces the prediction error and is improves large horizons predictions, thus reducing the energy consumption of the sensor network

Merge-in-transit retailing: a micro-business perspective

This paper suggests links between Postponement, Mass Customization and Rapid Fulfilment in the light of Merge-In-Transit Retailing (MiT). The paper discusses that the value offered by MiT implementations can only be exploited if these operational strategies are well-understood. An extension of this concept is explored to critically weight whether MiT is a feasible strategy in the context of Micro-Businesses (MBs). MBs are usually treated as if they were big corporations that mainly follow economic-based drivers. However, MBs’ owners operate according to additional motivations such as family-orientation, heritage, life style or prestige. So far limited work has been published on MiT and their operational supporting strategies in the context of MBs. The paper contributes in the deeper understanding the logistics under the Internet Retailing therefore his impact is promising. Its orientation towards MBs provides an original review to a sector that is usually neglected. Managers and people in charge in the design and operations of logistics systems supporting internet retailing can find this paper of interest as the four linked concepts have not been yet discussed together. The paper can be of particular interest for MBs’ owners

Lead time performance in a internet product delivery supply chain with automatic consolidation

Internet sales have increased exponentially in the last decade. Much of the internet sales are of physical products in urban areas that require product delivery transportation with a tight delivery lead time. With this challenge, a new type of transportation services has been developed aiming to cope with a strict control of transportation lead time. In this paper, an internet product delivery service with customer orders that are multi-item as well as single item is simulated. We address specifically the mismatch between supply and demand when retailers for any reason are unable to estimate the configuration of multi-item orders. Three scenarios of demand patterns are simulated (demand as forecasted, lower than forecasted and higher than forecasted) using discrete-event simulation to look at the effect on transportation lead time. Results show the positive effect on the mismatch between demand and resource capacity which is expressed in higher number delayed delivery orders. The excess of capacity in the product delivery supply chain has not a positive impact on delivery time of orders as technically orders are not delivered before the multi-item components are not available. This leads to think that the excess of resources are not an element that add value to customers waiting for their orders.CONACY

Metodología incluyente para la valoración equilibrada de proyectos productivos regionales

Es común la evaluación de proyectos productivos con un enfoque marcado por la factibilidad técnica-financiera del proyecto. El presente artículo hace una propuesta alternativa que da sustento a una valoración más incluyente y desarrolladora de estados de bienestar para las comunidades, integra una evaluación equilibrada de aspectos socioculturales, ecológicos y económicos para un real desarrollo integral sostenible. La metodología propuesta focaliza sus consideraciones a problemas y necesidades reales de la zona de evaluación y que mediante el potencial de desarrollo de la misma pueda generar una cartera flexible, adaptable y equilibrada de proyectos productivos

An optimization model for investment in technology and government regulation

Companies struggle every day to estimate the adequate level of investment in new technologies, and governments lack the tools to determine the impact of their regulations on industry including telecommunications networks. Despite these facts, few studies discuss ways to assess appropriate levels of investment for technological initiatives and government regulations. To fill this gap, this study provides an optimization model for the investment of technology and government regulation, based on efficiencies. Results obtained from surveying northern European companies support the importance of estimating investment in technology and government regulation levels. The survey identified the four most relevant factors for practitioners: quality, cost, technology adoption, and government regulations. Based on the survey’s results, the model evaluates the level of investment for technology adoption and government regulations using cost and quality as target variables. Additional data from a German carrier served to test the model. Results show that technology investment delivers more benefits in cost and quality by increasing technology adoption. However, the model also suggests that diminishing returns make efficiencies stall at a certain level of technology adoption, and shows an investment threshold dependent on the type of benefit, cost, or quality the company seeks to maximize. Regarding government regulation, the model shows a counterintuitive behavior at higher levels of investment for the cost coefficients and at all levels of investment for the quality coefficient. This suggests that government regulation effects could be shifting from fixed-order cost to other types of costs

Design of a Distribution Network Using Primal-Dual Decomposition

Amethodtosolvethedesignofadistributionnetworkforbottleddrinkscompanyisintroduced.Thedistributionnetworkproposed includes three stages: manufacturing centers, consolidation centers using cross-docking, and distribution centers. The problem is formulated using a mixed-integer programming model in the deterministic and single period contexts. Because the problem considersseveralelementsineachstage,adirectsolutionisverycomplicated.Formedium-to-largeinstancestheproblemfallsinto large scale. Based on that, a primal-dual decomposition known as cross decomposition is proposed in this paper. This approach allows exploring simultaneously the primal and dual subproblems of the original problem. A comparison of the direct solution withamixed-integerlinealprogrammingsolverversusthecrossdecompositionisshownforseveralrandomlygeneratedinstances. Resultsshowthegoodperformanceofthemethodproposed

La satisfacción del servicio en el transporte público exclusivo para mujeres

Como parte del desarrollo del sistema de transporte público, este ha presentado problemas de sobrecupo, lo cual se ha traducido en impactos negativos particularmente sobre las mujeres, en especial en lo relativo a los niveles de seguridad, en relación con lo que aquellas han reportado diferentes agresiones. Entre las medidas para reducir lo anterior se implementaron los servicios de transporte exclusivos para mujeres (TEPM) –etiquetados como “transporte rosa”–. En este documento se muestran los resultados de cuantificar la satisfacción de las usuarias del TEPM para el caso del Sistema de Transporte Colectivo (metro) de la ciudad de México. Para alcanzar este objetivo, se diseñó y aplicó una encuesta de satisfacción, a partir de la cual se obtuvo información acerca de los niveles de satisfacción de tres factores del TEPM: cobertura, disponibilidad de asientos, y agresiones sufridas. Los resultados muestran que las características del TEPM no están alineadas con las necesidades de las usuarias, y esto lleva a redefinir los objetivos del transporte exclusivo. Palabras clave: satisfacción del servicio, transporte exclusivo para mujere

Compress sensing algorithm for estimation of signals in sensor networks

ARTICULO DE INVESTIGACION IDEXADO EN JCR CON FACTOR DE IMPACTO 2.4In this research, we present a data recovery scheme for wireless sensor networks. In some sensor networks, each node must be able to recover the complete information of the network, which leads to the problem of the high cost of energy in communication and storage of information. We proposed a modified gossip algorithm for acquire distributed measurements and communicate the information across all nodes of the network using compressive sampling and Gossip algorithms to compact the data to be stored and transmitted through a network. The experimental results on synthetic data show that the proposed method reconstruct better the signal and in less iterations than with a similar method using a thresholding algorithm

Conductas de riesgo en jóvenes de la Ciudad de México: un estudio retrospectivo

In the transition from adolescence to adulthood, an increase in several risk behaviors endangers the well-being of future life. It is in this period when there are changes in the relationships of adolescents with their family environment; therefore, retrospective studies are valuable to understand how these changes occur. This research describes the changes in risk behaviors associated with sexual activity and the consumption of tobacco, alcohol and illegal drugs, from youth to adulthood. A sample of 5780 students, men and women, from Mexico City was used. The selection of participants was retrospective and they were evaluated in three stages during years (2003, 2006 and 2010) in a period of seven years. Eleven indicators of and Automated Medical Examination (EMA) were used to evaluate the four risk behaviors. The results showed significant relationships (p <0.001) between the risk behaviors and the gender of the students, also indicated that men had a greater number of risk behaviors than women. Likewise, significant differences were found in the risk behaviors (p <0.001) over time. The findings allowed us to observe an increase in risk behaviors in the transition from adolescence to adulthood, both in men and women