Abstract
Joint production and distribution planning at the operational level has received a great deal of attention from researchers. In most industries these processes are decoupled by means of final goods inventory that allow for a separated planning of these tasks. However, for example, in the catering industry, an integrated planning framework tends to be more favorable due to the perishable nature of the products that forces a make-to-order production strategy. So far this planning problem has only been addressed by allowing the batching of orders. The main contribution of this paper is to extend this approach and prove the importance of lot sizing for make-to-order systems when perishability is explicitly considered. The value of considering lot sizing versus batching is further investigated per type of production scenario. Overall, results indicate that lot sizing is able to deliver better solutions than batching. On average, for the improved instances, the cost savings ascend to 6.5% when using lot sizing. The added flexibility of lot sizing allows for a reduction on production setup costs and both fixed and variable distribution costs. The savings derived from lot sizing are enhanced by customer oriented time windows and production systems with non-triangular setups.

Abstract
In this paper we address soliton-soliton interactions in a nonlinear cubic-quintic optic media, using for that purpose numerical methods and high performance graphics processor unit (GPU) computing. We describe an implementation of GPU-based computational simulations of the generalized Nonlinear Schrodinger Equation, obtaining simulations more than 40 times faster relative to CPU-based simulations, especially in the multidimensional case. We focus our attention in the study of soliton collisions and scattering phenomena that, offering the possibility of steering light with light, open a path towards future optical devices.

Abstract
A new high-contrast imaging subtraction algorithm (TLOCI) is presented to maximize a planet signal-to-noise ratio. The technique uses an input spectrum and template PSFs to optimize the reference image coefficient determination to minimize the flux contamination via self-subtraction (thus maximizing its throughput wavelength per wavelength) of any planet that have a similar spectrum to the template spectrum in the image, while trying, at the same time, to maximize the speckle noise subtraction. The optimization is performed by a correlation matrix conditioning. Using laboratory Gemini Planet Imager data, the new algorithm is shown to be superior to the simple/double difference, polynomial fit and original LOCI algorithm. Copyright © 2013, International Astronomical Union.

Abstract
In this paper we analyze some of the existing solutions for Message-Oriented Middleware (MOM), which can be used on industrial environments, and that are, at the same time, capable of handling large quantities of data and of providing adequate Quality-of-Service (QoS) levels for its supported applications. We also make a proposal for the generic structure of a middleware layer supported on a MOM. © 2013 IEEE.

Abstract
Purpose - The purpose of this paper is to investigate what hinders businesses to achieve superior supply chain performance and how this knowledge may be used in the process of selection of tailored practices for supply chain management (SCM). Design/methodology/approach - Literature review and secondary case studies were used to identify hinders of superior supply chain performance. A method for the selection of tailored practices for SCM is developed. Case study research is used to validate the value of the developed method for practice and research. Findings - This research identifies detrimental phenomena that are observed in the management of supply chains: waste, uncertainty, vulnerability, congestion, bullwhip, diseconomies of scale and self-interest. It develops and illustrates a method for the selection of tailored SCM practices. Research limitations/implications - This research did not verify the completeness of the list of phenomena identified. The implementation of the selected practices was not in the scope of the case studies. Practical implications - Researchers may use the phenomena to study the impact of different practices in the overall supply chain performance, as well as to study the interactions between the different phenomena. Practitioners may use the proposed method as a diagnosis and continuous improvement tool for their supply chain. Originality/value - Although the supply chain phenomena have been explored individually in the literature, a holistic approach of the phenomena had not yet been developed to the best of our knowledge. The method developed identifies a set of tailored practices that are in alignment with the context and strategy of the business and decrease the overall effects of the detrimental phenomena.

Abstract
Risk is inherent in all software projects. To manage and control them represents gains for the development and success of projects. The risk management goal is to control, in a continue way, the risks that arise in all the phases of projects, and it's considered determinant to the projects' success. The risk management process is defined through models that specify the activities to accomplish during the project, with the aim to eliminate or minimize the impact of risks. Given the popularity of agile approaches, agile risk management has become central, because agile methodologies by themselves don't give an answer to the risks that might arise in a software project. The work presented in this article has a goal the definition of a risk management model, suited to agile development, in order to improve the existing risk management.