270 research outputs found

    A sustainable order quantity model under uncertain product demand

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    The Economic Order Quantity (EOQ) model is one of the most known classical continuous review inventory model based on the trade-off between holding and order costs. In actual logistic systems, transport costs play a key role, and in case of stochastic variability of product demand and/or supply lead time, a safety stock is required. Transport and safety stock costs affect the solution of the lot size problem. Recently, wide attention is being paid to sustainable manufacturing and in particular on negative effects of transport. Transports are the main source of air pollutant emissions in EU and are expected to increase in magnitude in the future. Costs evaluations of transport emissions are defined in EU documents based on Kyoto protocol. When transport environmental costs are considered in the logistic cost function a new lot-sizing problem can be defined. In (Digiesi, Mossa and Mummolo 2012), the Sustainable Order Quantity (SOQ) analytical model is proposed aiming at identifying optimal lot-size and transport means which minimize the logistic and environmental costs in case of a deterministic product demand. In this paper, the authors propose an SOQ model in case of stochastic variability of product demand. Analytical model solutions rely on sustainable (in terms of both logistic and environmental costs) order size, transport means and safety stocks. Results obtained in a full case study from automotive supply chain case study are presented

    Measuring Uncertainty and Criticality in Network Plannin by the Pert-path Technique

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    The use of uncertainty and criticality measures in network planning of engineering projects by PERT networks is limited in practice because of their unreliability or complexity. The measures appear as inappropriate to support the definition of contractual obligations when based on uncertain information. The author proposes new uncertainty and criticality measures based on the identification and analysis by PERT-path technique of possible completion sequences of project activities. The measures prove to be effective in project planning and contracting. An algorithm and a stochastic analytical model suitable for the quantification of the measures concerned are proposed. A numerical example is developed

    Replication Data for "News from the Other Side: How Topic Relevance Limits the Prevalence of Partisan Selective Exposure"

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    Included are survey data sets and .R script files necessary to replicate all tables and figures. Tables will display in the R console. Figures will save as .pdf files ot your working directory. Instructions for Replication: These materials will allow for replication in R. You can download data files in .R or .tab format. Save all files in a common folder (directory). Open the .R script file named “jop_replication_dataverse2.R” and change the working directory at the top of the script to the directory where you saved the replication materials. Execute the code in this script file to generate all tables and figures displayed in the manuscript. The script is annotated. Take care to execute the appropriate lines when loading data sets depending on whether you downloaded the data in .R or .tab format (the script is written to accommodate both formats). Note: the files "results.diff_rep.Rdata" and "results.diff2.Rdata" are R list objects and can only be opened in R. Should you encounter any problems or have any questions, please contact the author at [email protected]

    Histological characterization of Sacco’s concentrated growth factors membrane [Caracterización Histológica de la Membrana de los Factores de Crecimiento Concentrados Sacco]

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    Along with the emerging needs of the dental patients, numerous techniques for oral tissue stimulation and regeneration were developed to be employed in the modern implant rehabilitation therapies. The Concentrated Growth Factors (CGF) are a relatively new therapeutic presidium that can be used for this purpose, enhancing the regenerative potential property of blood cells. Although literature presents numerous studies evaluating the CGF for their clinical uses and efficacy, data regarding their biological characteristics are very few. The present study evaluates and describes the CGF structural morphology by means of classical histological methods, using haematoxilin-eosin and azan mallory stains. A three layers organization with a fibrin complex network was noted, with blood corpuscular elements entrapped, especially in the most external layer. These descriptions enrich the knowledge about this new type of membrane, showing the bio-morphological side of the regenerative techniques. These findings will be useful in clinical practice for the choice of the most suitable technique in each implant rehabilitationAlong with the emerging needs of the dental patients, numerous techniques for oral tissue stimulation and regeneration were developed to be employed in the modern implant rehabilitation therapies. The Concentrated Growth Factors (CGF) are a relatively new therapeutic presidium that can be used for this purpose, enhancing the regenerative potential property of blood cells. Although literature presents numerous studies evaluating the CGF for their clinical uses and efficacy, data regarding their biological characteristics are very few. The present study evaluates and describes the CGF structural morphology by means of classical histological methods, using haematoxilin-eosin and azan mallory stains. A three layers organization with a fibrin complex network was noted, with blood corpuscular elements entrapped, especially in the most external layer. These descriptions enrich the knowledge about this new type of membrane, showing the bio-morphological side of the regenerative techniques. These findings will be useful in clinical practice for the choice of the most suitable technique in each implant rehabilitation

    Replication Data for "News from the Other Side: How Topic Relevance Limits the Prevalence of Partisan Selective Exposure"

    No full text
    Included are survey data sets and .R script files necessary to replicate all tables and figures. Tables will display in the R console. Figures will save as .pdf files ot your working directory. Instructions for Replication: These materials will allow for replication in R. You can download data files in .R or .tab format. Save all files in a common folder (directory). Open the .R script file named “jop_replication_dataverse2.R” and change the working directory at the top of the script to the directory where you saved the replication materials. Execute the code in this script file to generate all tables and figures displayed in the manuscript. The script is annotated. Take care to execute the appropriate lines when loading data sets depending on whether you downloaded the data in .R or .tab format (the script is written to accommodate both formats). Note: the files "results.diff_rep.Rdata" and "results.diff2.Rdata" are R list objects and can only be opened in R. Should you encounter any problems or have any questions, please contact the author at [email protected]
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