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96 results for “supply chain”
Appendices/Supplementary materials to Hägele, S., Grosse, E.H. and Ivanov, D. (2023) 'Supply chain resilience: a tertiary study', International Journal of Integrated Supply Management, 16 (1), 52-81. https://doi.org/10.1504/IJISM.2023.127660
<p>This document contains supplementary material to the article:</p> <p><em>Hägele, S., Grosse, E.H. and Ivanov, D. (2023) 'Supply chain resilience: a tertiary study', International Journal of Integrated Supply Management, 16 (1), 52-81. https://doi.org/10.1504/IJISM.2023.127660</em></p>
Kuempel et al. (2024) Quantifying global redundant fisheries trade to streamline seafood supply chains
<p>Species trade data to accompany the publication "Quantifying global redundant fisheries trade to streamline seafood supply chains" by Kuempel et al. (2024) and the associated github repository https://github.com/cdkuempel/Redundant_fisheries_trade</p> <p> </p>
Dataset: Cheetah Net Supply Chain Service Inc. (CTNT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Supplementary material for publication "Multi-Echelon Inventory Optimization in Supply Chain Networks: Exploring Network Structures and Predictive Modeling"
<div> <div> <div> <p>This dataset collects different supply chain network structures generated artificially. We present four types of networks: Serial, Convergent, Divergent, and General, each type consisting of 20,000 individual instances. All 80,000 network instances generated are available to researchers and practitioners in Excel. The repository consists of separate files for each network instance consisting of each network inventory data, node connections, and a visual representation.</p> </div> </div> </div>
Dataset and code: Decarbonizing lithium-ion battery primary raw materials supply chain: Available strategies, mitigation potential and challenges
<p>Repository to share the data and code associated with the scientific article <strong>Istrate et al. Decarbonizing lithium-ion battery primary raw materials supply chain: Available strategies, mitigation potential and challenges. Joule (2024)</strong>. The repository contains data files and code to import the life cycle inventories (LCIs), reproduce the results, and generate the figures presented in the article.</p>
Opinions and data on short food supply chains related policy analysis in 9 EU countries generated in the H2020 SMARTCHAIN Project grant number: 773785
<p>Questionnaires: Opinions and data on short food supply chains related policy analysis in 9 EU countries generated in the H2020 SMARTCHAIN Project grant number: <strong>773785</strong></p>
Case study for Sustainable agri-food supply chain planning through multi-objective optimisation
<p>Case study used to solve the multi-objective model proposed in: Sustainable agri-food supply chain planning through multi-objective optimisation</p>
Dataset for A MILP approach for detailed operational scheduling of a supply chain in the phosphate industry
<p>10 instances to evaluate a MILP approach for detailed operational scheduling of a supply chain in the phosphate industry.</p>
Animated video presenting the advancements from AI4DI Supply Chain for Food and Beverage industries
<p>This animated video presents the dvancements from AI4DI Supply Chain for Food and Beverage industries.</p>
Adapting the informed push model to the last mile of the contraceptive supply chain in the Democratic Republic of Congo: Pilot study results
<p>This dataset includes stockout information for nine contraceptives in health facilities in the Katana Health Zone in the South Kivu province of the Democratic Republic of Congo. Information recorded includes availability of contraceptives, occurance and duration of stockouts, and transportation costs for contraceptives. Pilot study results revealed there was no statistically significant difference in availability of contraceptives at the beginning and end of the study period. However, there was a sharp decline in stockout duration and monthly transportation costs. Data was organized as a .dta STATA file in long format, then exported as a CSV file. The dataset includes information on availability of contraceptives, occurance and duration of stockouts and transportation costs. Key abbreviations include IUD (intrauterine device) and EC (emergency contraception). All costs were reported in US dollars.</p>
The dataset for the research "Evaluation of Digital Supply Chain Technology’s Impact on Sustainability Under the Moderate Effect of Supply Chain Dynamism: An Empirical Research in the Chinese Energy Supply Chain"
In recent years, the topic of digitalisation and sustainability of supply chains has become increasingly important. In addition, as the environmental dynamism becomes more complex, it is essential to explore how technologies impacts on sustainability under the supply chain dynamism. Hence, there is a study to explore the relationship between technologies and sustainability under the supply chain dynamism in the energy supply chain. In this study, the author collects quantitative data from two Chinese companies, including China Resources Power Zhejiang Company and Hunan HuaDian Changsha Electric Co., Ltd. This is a questionnaire survey and it has 24 questions, including 3 general questions, 5 technologies dimension questions, 12 sustainability dimension questions and 4 supply chain dynamism questions. The author collected data from 30 May 2024 to 6 June May 2024, and there are totally 316 answers.
Resolved-EXIOBASE (REX) – A highly resolved MRIO database for analyzing supply-chain impacts (B. Remaining data from 1995–2005)
<p>This repository provides the R-MRIO database for the years 1995–2005 of the study "A highly resolved MRIO database for analyzing environmental footprints and Green Economy Progress".</p> <p><a href="https://doi.org/10.1016/j.scitotenv.2020.142587">https://doi.org/10.1016/j.scitotenv.2020.142587</a></p> <p>The code to resolve the database and the data for the years 2006–2015 are stored under the repository <a href="http://doi.org/10.5281/zenodo.3993659">http://doi.org/10.5281/zenodo.3993659</a></p> <p>The folders "R-MRIO_year" provide the following files (*.<em>mat-files</em>) for each year from 1995–2005:<br> A_RMRIO: the coefficient matrix<br> Y_RMRIO: the final demand matrix<br> Ext_RMRIO and Ext_hh_RMRIO: the satellite matrix of the economy and the final demand<br> TotalOut_RMRIO: the total output vector<br> The labels of the matrices are provided by the separate folder "Labels_RMRIO "</p> <p>A script for importing and indexing the RMRIO database files in Python as Pandas DataFrames can be found here:</p> <p><a href="https://github.com/jbnsn/RMRIO-database-py-import">https://github.com/jbnsn/RMRIO-database-py-import</a></p>
Coronavirus testing indicates transmission risk increases along wildlife supply chains for human consumption in Viet Nam, 2013-2014
<p>Outbreaks of emerging coronaviruses in the past two decades and the current pandemic of a novel coronavirus (SARS-CoV-2) that emerged in China highlight the importance of this viral family as a zoonotic public health threat. To gain a better understanding of coronavirus presence and diversity in wildlife at wildlife-human interfaces in three southern provinces in Viet Nam 2013-2014, we used consensus Polymerase Chain Reactions to detect coronavirus sequences. In comparison to previous studies, we observed high proportions of positive samples among field rats (34.0%, 239/702) destined for human consumption and insectivorous bats in guano farms (74.8%, 234/313) adjacent to human dwellings. Most notably among field rats, the odds of coronavirus RNA detection significantly increased along the supply chain from field rats sold by traders (reference group; 20.7% positivity, 39/188) by a factor of 2.2 for field rats sold in large markets (32.0%, 116/363) and 10.0 for field rats sold and served in restaurants (55.6%, 84/151). Coronaviruses were also detected in rodents on the majority of wildlife farms sampled (60.7%, 17/28). These coronaviruses were found in the Malayan porcupines (6.0%, 20/331) and bamboo rats (6.3%, 6/96) that are raised on wildlife farms for human consumption as food. We identified six known coronaviruses in bats and rodents, clustered in three <em>Coronaviridae</em> genera, including the <em>Alpha-</em>, <em>Beta-</em>, and <em>Gammacoronaviruses</em>. Our analysis also suggested either mixing of animal excreta in the environment or interspecies transmission of coronaviruses, as both bat and avian coronaviruses were detected in rodent feces on wildlife farms. The mixing of multiple coronaviruses, and their apparent amplification along the wildlife supply chain into restaurants, suggests maximal risk for end consumers and likely underpins the mechanisms of zoonotic spillover to people.</p>
Annex - Information Technology as Enabler of Transparency in Food Supply Chains
<p>This is the Annex of the paper: Information Technology as Enabler of Transparency in Food Supply Chains</p>
Code to reproduce Figures in "Adapting to Disruptions: Managing Supply Chain Resilience through Product Rerouting"
<p>This repository contains the code and data to reproduce the results of the paper:<em> "Adapting to Disruptions: Managing Supply Chain Resilience through Product Rerouting" </em>in<em> Science Advances</em>, https://doi.org/10.1126/sciadv.adj1194</p> <ul> <li>The `code/` directory contains the scripts used for the analysis and generating figures in the paper:</li> <li>The `data/` directory contains the data to create the plots</li> </ul> <p>The original data was obtained from <a href="https://www.slcg.com/opioid-data" target="_new">https://www.slcg.com/opioid-data</a>, which publicly distributes the Automation of Reports and Consolidated Orders System (ARCOS) dataset.</p>
Supplementary supply chain (input) data
<p>This document provides supplementary information on the Conference Paper entitled 'Ensuring supply for emergency services –<br>modeling supply chains with incomplete sets of data'' submitted by Kippenberger et al. for the Simulation Notes Europe (SNE)</p> <p> </p>
Multi-objective optimization of a renewable fuel supply chain regarding cost, land use, and water use - Supplementary Materials
<p><strong>This repository contains supporting data for: "Multi-objective optimization of a renewable fuel supply chain regarding cost, land use, and water use"</strong></p> <ol> <li> <p><strong>Input Data</strong>: This file includes the model input data.</p> </li> <li> <p><strong>Payoff Matrix Solution</strong>: This file contains all decision variables of payoff matrix solutions (Cost optimal, Land-use optimal, and Water-use optimal solution).</p> </li> <li><strong>Compromise solution</strong>: This file contains all decision variables of the compromise solution.</li> <li> <p><strong>Pareto Curve</strong>: This file presents the Pareto curve solution. </p> </li> <li><strong>Pareto Curve Solution</strong>: This file contains all decision variables in each of the Pareto curve solutions. </li> </ol>
SoK: Taxonomy of Attacks on Open-Source Software Supply Chains - Visualization Tool Screenshots & Selected Papers
<p>This artifact complements the paper "SoK: Taxonomy of Attacks on Open-Source Software Supply Chains", submitted at IEEE S&P 2023.</p> <p>The papers selected during the Systematic Literature Review (SLR) are presented in the CSV file.</p> <p>This screenshots display the main features of the visualization tool that allows to explore the taxonomy of attacks on OSS supply chains, as well as the related safeguards and the selected references.</p>
Research data: "Effects of Network Structures on the Production Planning in Closed-loop Supply Chains – A Case Study based Analysis for Lithium-ion Batteries in Europe"
<p>This data set belongs to the paper Effects of Network Structures on the Production Planning in Closed-loop Supply Chains – A Case Study based Analysis for Lithium-ion Batteries in Europe in the International Journal of Production Economics (DOI). The BatPac model, as well as, the model for the economic assessment of the recycling route are not included. The needed data can be found in the file (name). Further, the BatPaC model can be gather from the website of Argonne National Laboratory and the assessment tool for the recycling routes via this DOI: 10.5281/zenodo.6500946.</p> <p> </p> <p>This work is part of the research project Recycling 4.0 (EFRE | ZW 6-85018080), which is funded by the European Regional Development Fund and managed by the development bank for the German federal state of Lower Saxony (NBank).</p>
Replication Package for ICSE 2023 submission "How Deep Learning Packages Form Supply Chain in PyPI: Types, Clusters, and Detachment"
<p>This is the replication package for our ICSE 2023 submission <em><strong>How Deep Learning Packages Form Supply Chain in PyPI: Types, Clusters, and Detachment</strong></em>. </p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.