7 research outputs found

    Prediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season

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    For a robust performance Shipping costs planning in festive seasons is given the input data as free from trends season-of-year effects etc Seasonal forecasting for supplychain planning with past few years of similar data impact shipping costs Additionally during a festive season of the year unbiased and accurate prediction of shipment load plays a major role in bringing up sales Time-series forecasting methods can be useful to remove traditional fluctuations due to gap in months-of-year of festivals We describe exponential smoothing techniques and trend fitting methods and compare the predictive accuracy The accuracy is compared using rootmean square error and median absolute deviation The exponential smoothing shows changing behavior with increased data size and data item values The data is compared with and without tuning the seasonal effects due to festive seaso

    Tc-99m-tamoxifen: A novel diagnostic imaging agent for estrogen receptor-expressing breast cancer patients

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    PURPOSEThe aim of the study was to radiolabel, characterize, and perform in vitro and in vivo assessment of Technetium-99m (Tc-99m) tamoxifen for screening ER expressing lesions in breast cancer patients.METHODSIn this study, tamoxifen has been radiolabeled with Tc-99m via Tc-99m-tricarbonyl core. The characterization and quality control tests of Tc-99m-tamoxifen were performed. In vitro recep- tor binding and blocking studies were performed in both positive control (MCF-7) and negative control cell lines (MDA-MB-231). Normal biodistribution studies were performed in female Wistar albino rats. The pilot clinical studies were performed in 4 ER-expressing breast cancer patients. Of the 4 patients, 1 was on tamoxifen therapy. All 4 patients had also undergone Fluorine-18 fluorodeoxyglucose (F-18-FDG) positron emission tomography/computed tomography.RESULTSTamoxifen was radiolabeled with Tc-99m via Tc-99m-tricarbonyl core with more than 95% radio- chemical yield. Mass spectra showed a peak corresponding to the molecular weight of Tc-99m- tricarbonyl and Tc-99m-tamoxifen. The site of binding of Tc-99m-tricarbonyl with tamoxifen was determined by proton nuclear magnetic resonance. The Tc-99m-tamoxifen showed 30% binding with MCF-7 and only 1%-2% receptor binding with MDA-MB-231 cell lines. Also, the percentage of receptor binding was drastically reduced (up to 72%) when ER was saturated with 50 times the excess molar ratio of unlabeled tamoxifen. In a pilot patient study, Tc-99m-tamoxifen uptake was observed in primary and metastatic lesions. However, no uptake was observed in a patient who was on tamoxifen therapy. The uptake of F-18-FDG was noted in all the patients.CONCLUSIONTamoxifen was radiolabeled with an in-house-synthesized Tc-99m-tricarbonyl core. The radio- labeled complex has been characterized and evaluated for receptor specificity in in vitro and in vivo studies. Also, this is the first clinical study using Tc-99m-tamoxifen for imaging ER. More patients need to be evaluated to further explore the role of Tc-99m-tamoxifen in ER-expressing lesions

    Towards improving the performance of flexible manufacturing system: a case study

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    Abstract: Increasing global competition has evolved a manufacturing environment which gleans vast product variety, reduced manufacturing lead times, increased quality standards and competitive costs. Simultaneously, with a rising trend toward globalization, these manufacturing environments must be designed to cater new challenges to survive and grow in the marketplace. To deal with such multifaceted problems, new technologies support increased flexibility and automation. These objectives intended for the improvement of the manufacturing environment have been the key rationales for the introduction of flexible manufacturing systems (FMSs). In this paper a case study of a firm is presented with a contribution to suggest some methods of performance improvement for a flexible system of manufacturing. The study is based on the mathematical models illustrated in literature to estimate possible performance parameters like maximum production rate, make span time and overall utilization. Through this study, an effort is also made to present the improved design for existing flexible manufacturing system employed in the company. Various design and performance parameters are then evaluated and compared for the existing and improved FMS

    Developing IT-enabled performance monitoring system for green logistics: A case study

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    Purpose – Logistics companies are compelled to improve their efficiency and the environmental performance by introducing the green concept in their operations. The main purpose of the paper is to have continuous monitoring and tracking of logistics operations to enhance the green performance.Design/methodology/approach – This research uses a case study approach. It illustrates a monitoring system to digitize the logistics activities by sending real-time GPS data to the server and capture the surrounding pictures with the help of the Internet of things (IoTs) based camera. Data generated through digitization is mathematically analyzed for ensuring a green logistic system. The alerts due to the halts, help in keeping a check on fuel consumption, carbon emissions, and security of logistics. Performance indicators such as carbon emissions and the value of travel time saving (VTTS) are selected for the study.Findings -The findings of the study show that the actual travel time and distances are higher than the estimated travel time and distances. It also reveals that actual travel routes with diversions involve a considerably higher amount of carbon emissions during all sample travels. The results indicate a considerable saving in terms of carbon emissions, time and cost savings by effective practices of Green Logistics in Monitoring system (MSGL). These findings can help the top management of logistics companies in formulating effective strategies for technology applications in logistic operations to ensure green performance.Research limitations/implications –The study has been carried out under certain set of conditions, which may vary depending upon the organizations. Also certain more environmental dimensions for performance monitoring can be used as a future scope of study. Further studies also need to be carried out to widen the scope of the MSGL model at a global level rather than only at local level.Originality/value – Any organization which deploys transportation as part of their activity can use this MSGL model and then do the mathematical analysis to reduce the CO2 emissions, reduce the time and extra cost. The value of this study lies in the fact that Govt is trying different methods and models to reduce pollution. This MSGL should be made compulsory by the govt. as a part of their policies for environment of the country

    The necessity for an integrated Emergency Operations Center (EOC) among first responders: Lesson learned from two Iranian railway accidents

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    Introduction: Several train accidents have occurred in Iran in the last twenty years, resulting in considerable loss of human lives. This study aims to investigate and analyze the response process and deficiencies thereof, of three responding organizations to two railway accidents in Iran. Methods: The study was performed in 2 stages to examine the challenges faced by the first responders in the said accidents. In the first stage, a descriptive statistical analysis was conducted to estimate the injuries and loss of human lives. In the second stage, qualitative description (QD) was performed. Technical reports, official documents, and interviews contributed to the sources of primary data. Study participants were members of first responders who were interviewed. Results: The lack of key components like coordination, information-sharing, a single unified command between responders from different organizations, a lack of relief and rescue railway train, and poor inter-organizational interactions in the deployment of relief teams, were found to be the most important challenges. Discussion and conclusion: The analysis of these two accidents showed that the lack of an integrated emergency operations center (EOC) among the organizations involved in the emergency response appears to be the obvious cause of initial confusion and disruption in the response phase which caused a delay which proved fatal. Designing and developing an integrated response plan among responding organizations, preparing an information sharing network, centralized deployment of forces to the site of the accident, strengthening inter-organizational interactions in the form of an incident command system, designing, launching, and using rescue trains on rail routes and use of air emergency facilities in areas with poor accessibility can reduce mortality in future in similar kind of accidents
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