Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Protocol for designing, optimizing, and analyzing reverse supply chains using RELOG.

ABSTRACT: In this protocol, we describe the use of RELOG, an open-source, supply chain optimization package, for robust design and analysis of optimal reverse logistics and manufacturing networks. We detail installation steps and input data assembly, followed by problem modeling. We further detail how to run the RELOG optimization, visualize, and analyze the results. The implementation discussed here illustrates battery recycling; however, our package can analyze a wide variety of supply chains with multiple types of plants, products, and time periods. For complete details on the use and execution of this protocol, please refer to Xavier and Iloeje (2020)¹ and Iloeje et al. (2022).².

SUBMITTER: Iloeje CO

PROVIDER: S-EPMC9795519 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Protocol for designing, optimizing, and analyzing reverse supply chains using RELOG.

Iloeje Chukwunwike O CO Santos Xavier Alinson A Atkins John J Sun Kyle K Gallier Audrey A

STAR protocols 20221221 1

In this protocol, we describe the use of RELOG, an open-source, supply chain optimization package, for robust design and analysis of optimal reverse logistics and manufacturing networks. We detail installation steps and input data assembly, followed by problem modeling. We further detail how to run the RELOG optimization, visualize, and analyze the results. The implementation discussed here illustrates battery recycling; however, our package can analyze a wide variety of supply chains with multi ...[more]

PMID: 36548130

Similar Datasets

Optimizing global food supply chains: The case for blockchain and GSI standards

Project description:This chapter examines the integration of GS1 standards with the functional components of blockchain technology as an approach to realize a coherent standardized framework of industry-based tools for successful food supply chains (FSCs) transformation. The globalization of food systems has engendered significant changes to the operation and structure of FSCs. Alongside increasing consumer demands for safe and sustainable food products, FSCs are challenged with issues related to information transparency and consumer trust. Uncertainty in matters of transparency and trust arises from the growing information asymmetry between food producers and food consumers, in particular, how and where food is cultivated, harvested, processed, and under what conditions. FSCs are tasked with guaranteeing the highest standards in food quality and food safety—ensuring the use of safe and authentic ingredients, limiting product perishability, and mitigating the risk of opportunism, such as quality cheating or falsification of information. A sustainable, food-secure world will require multidirectional sharing of information and enhanced information symmetry between food producers and food consumers. The need for information symmetry will drive transformational changes in FSCs methods of practice and will require a coherent standardized framework of best practice recommendations to manage logistic units in the food chain. A standardized framework will enhance food traceability, drive FSC efficiencies, enable data interoperability, improve data governance practices, and set supply chain identification standards for products and assets (what), exchange parties (who), locations (where), business processes (why), and sequence (when).

| S-EPMC7561516 | biostudies-literature

Analyzing reciprocity dynamics in supply chains of public goods: a stochastic evolutionary game approach.

Project description:To start with an infinitely repeated game of supply chains of public goods, a stout reciprocity mechanism is introduced into income games to build a matric dynamic equation. The conventional evolutionary game method is employed to propose a model called the evolutionary game for the cooperative strategy of both the manufacturer and the seller groups in the supply chain of public goods. Also, white Gaussian noise (WGN) is added to reflect random interference in the evolution process. Then, a stochastic dynamic system is established, and Ito's differential equation is used to analyze both sides' strategy evolution in a game, interpret changes in system stability when random disturbance is added, and finally test the influence of different situations on the system stability by running a numerical simulation. The research shows that the stronger the reciprocity coefficient is, and the system is subjected to random interference, the greater the strategy choice change in players' decision-making procedures when the repeated game of public goods is conducted.

| S-EPMC11232609 | biostudies-literature

Opening Up New Supply Chains.

Project description: Not available

| S-EPMC7281713 | biostudies-literature

Global supply chains in the pandemic.

Project description:We study the role of global supply chains in the impact of the Covid-19 pandemic on GDP growth using a multi-sector quantitative framework implemented on 64 countries. We discipline the labor supply shock across sectors and countries using the fraction of work in the sector that can be done from home, interacted with the stringency with which countries imposed lockdown measures. One quarter of the total model-implied real GDP decline is due to transmission through global supply chains. However, "renationalization" of global supply chains does not in general make countries more resilient to pandemic-induced contractions in labor supply. This is because eliminating reliance on foreign inputs increases reliance on the domestic inputs, which are also disrupted due to nationwide lockdowns. In fact, trade can insulate a country imposing a stringent lockdown from the pandemic-shock, as its foreign inputs are less disrupted than its domestic ones. Finally, unilateral lifting of the lockdowns in the largest economies can contribute as much as 2.5% to GDP growth in some of their smaller trade partners.

| S-EPMC8633421 | biostudies-literature

Seeing slavery in seafood supply chains.

Project description:The seafood supply chain is often long and fragmented, and slavery is a tenacious problem. The vast majority of workers are engaged in the early stages of production and often employed through subcontracts or brokers. We hypothesized that food companies could identify risks and implement improvements by adding a labor safety dimension to their tracking and traceability systems. We designed a five-point framework-the Labor Safe Screen-and tested it for 118 products. The framework combines the use of technology in existing platforms with the collection of industry data and authoritative human rights data. Eighteen food companies used three or more components of the framework and systematically documented their supply chains, engaged suppliers, and cross-checked results. The companies were able to identify areas where working conditions met minimum principles, were unknown, or were inadequate. Three companies also incorporated direct worker feedback to focus resources and improve working conditions. We conclude that food companies can effectively and efficiently assess and reduce risks of forced labor in seafood supply chains-not to claim "no slavery" but to greatly improve their awareness of the labor conditions in the making of the products they trade and to identify feasible targets for further diligence and remedies.

| S-EPMC6059758 | biostudies-literature

Cities can benefit from complex supply chains.

Project description:Supply chain complexity is perceived to exacerbate the supply disruptions or shocks experienced by a city. Here, we calculate two network measures of supply chain complexity based on the relative number-horizontal complexity-and relative strength-vertical complexity-of a city's suppliers. Using a large dataset of more than 1 million annual supply flows to 69 major cities in the United States for 2012-2015, we show that a trade-off pattern between horizontal and vertical complexity tends to characterize the architecture of urban supply networks. This architecture shapes the resistance of cities to supply chain shocks. We find that a city experiences less intense shocks, on average, as supplier relative diversity (horizontal complexity) increases for more technologically sophisticated products, which may serve as a mechanism for buffering cities against supply chain shocks. These results could help cities anticipate and manage their supply chain risks.

| S-EPMC10052311 | biostudies-literature

Optimizing intra-facility crowding in Wi-Fi environments using continuous-time Markov chains

Project description:Various measures have been devised to reduce crowdedness and alleviate the transmission of COVID-19. In this study, we propose a method for reducing intra-facility crowdedness based on the usage of Wi-Fi networks. We analyze Wi-Fi logs generated continually in vast quantities in the ever-expanding wireless network environment to calculate the transition probabilities between the nodes and the mean stay time at each node. Subsequently, we model this data as a continuous-time Markov chain to determine the variance of the stationary distribution, which is used as a metric of intra-facility crowdedness. Therefore, we solved the optimization problem by using stay rate as a parameter and developed a numerical solution to minimize the intra-facility crowdedness. The optimization results demonstrate that the intra-facility crowding is reduced by approximately 30%. This solution can practically reduce intra-facility crowdedness as it adjusts people’s stay times without making any changes to their movements. We categorized Wi-Fi users into a set of classes using the k-means method and documented the behavioral characteristics of each class to help implement class-specific measures to reduce intra-facility crowdedness, thus enabling facility managers to implement effective countermeasures against crowdedness based on the circumstances. We present a detailed description of our computing environment and workflow used for the basic analysis of vast quantities of Wi-Fi logs. We believe this research will be useful for analysts and facility operators because we have used general-purpose data for analysis.

| S-EPMC9467420 | biostudies-literature

Companies' contribution to sustainability through global supply chains.

Project description:Global supply chains play a critical role in many of the most pressing environmental stresses and social struggles identified by the United Nations' Sustainable Development Goals (SDGs). Responding to calls from the global community, companies are adopting a variety of voluntary practices to improve the environmental and/or social management of their suppliers' activities. We develop a global survey of 449 publicly listed companies in the food, textile, and wood-products sectors with annual reports in English to provide insight into how the private sector contributes to advancing the SDGs via such sustainable-sourcing practices. We find that while 52% of companies use at least one sustainable-sourcing practice, these practices are limited in scope; 71% relates to only one or a few input materials and 60.5% apply to only first-tier suppliers. We also find that sustainable-sourcing practices typically address a small subset of the sustainability challenges laid out by the SDGs, primarily focusing on labor rights and compliance with national laws. Consistent with existing hypotheses, companies that face consumer and civil society pressure are associated with a significantly higher probability of adopting sustainable-sourcing practices. Our findings highlight the opportunities and limitations of corporate sustainable-sourcing practices in addressing the myriad sustainability challenges facing our world today.

| S-EPMC5834693 | biostudies-literature

Unscrambling U.S. egg supply chains amid COVID-19☆

Project description:This article investigates how the shift from food-away-from-home and towards food-at-home at the onset of the COVID-19 pandemic affected the U.S. egg industry. We find that the pandemic increased retail and farm-gate prices for table eggs by approximately 141% and 182%, respectively. In contrast, prices for breaking stock eggs—which are primarily used in foodservice and restaurants—fell by 67%. On April 3, 2020, the FDA responded by issuing temporary exemptions from certain food safety standards for breaking stock egg producers seeking to sell into the retail table egg market. We find that this regulatory change rapidly pushed retail, farm-gate, and breaking stock prices towards their long-run pre-pandemic equilibrium dynamics. The pandemic reduced premiums for credence attributes, including cage-free, vegetarian-fed, and organic eggs, by as much as 34%. These premiums did not fully recover following the return to more “normal” price dynamics, possibly signaling that willingness-to-pay for animal welfare and environmental sustainability have fallen as consumers seek to meet basic needs during the pandemic. Finally, in spite of widespread claims of price gouging, we do not find that the pandemic (or the subsequent FDA regulatory changes) had a meaningful impact on the marketing margin for table eggs sold at grocery stores.

| S-EPMC9758591 | biostudies-literature

Designing a novel multi‑epitope vaccine against Ebola virus using reverse vaccinology approach.

Project description:Ebola virus (EBOV) is a dangerous zoonotic infectious disease. To date, more than 25 EBOV outbreaks have been documented, the majority of which have occurred in Central Africa. The rVSVG-ZEBOV-GP vaccine (ERVEBO), a live attenuated vaccine, has been approved by the US Food and Drug Administration (FDA) to combat EBOV. Because of the several drawbacks of live attenuated vaccines, multi-epitope vaccines probably appear to be safer than live attenuated vaccines. In this work, we employed immunoinformatics tools to design a multi-epitope vaccine against EBOV. We collected sequences of VP35, VP24, VP30, VP40, GP, and NP proteins from the NCBI database. T-cell and linear B-cell epitopes from target proteins were identified and tested for antigenicity, toxicity, allergenicity, and conservancy. The selected epitopes were then linked together in the vaccine's primary structure using appropriate linkers, and the 50S ribosomal L7/L12 (Locus RL7 MYCTU) sequence was added as an adjuvant to the vaccine construct's N-terminal. The physicochemical, antigenicity, and allergenicity parameters of the vaccine were all found to be satisfactory. The 3D model of the vaccine was predicted, refined, and validated. The vaccine construct had a stable and strong interaction with toll-like receptor 4 (TLR4) based on molecular docking and molecular dynamic simulation (MD) analysis. The results of codon optimization and in silico cloning revealed that the proposed vaccine was highly expressed in Escherichia coli (E. coli). The findings of this study are promising; however, experimental validations should be carried out to confirm these findings.

| S-EPMC9094136 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data