| 1. |
- Lozano, Rafael, et al.
(författare)
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Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017
- 2018
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Ingår i: The Lancet. - : Elsevier. - 1474-547X .- 0140-6736. ; 392:10159, s. 2091-2138
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Tidskriftsartikel (refereegranskat)abstract
- Background: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings: The global median health-related SDG index in 2017 was 59·4 (IQR 35·4–67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6–14·0) to a high of 84·9 (83·1–86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation: The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains—curative interventions in the case of NCDs—towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions—or inaction—today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030.
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| 2. |
- Stanaway, Jeffrey D., et al.
(författare)
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Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017
- 2018
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Ingår i: The Lancet. - 1474-547X .- 0140-6736. ; 392:10159, s. 1923-1994
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Tidskriftsartikel (refereegranskat)abstract
- Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk-outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk-outcome pairs, and new data on risk exposure levels and risk- outcome associations. Methods We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017.
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| 3. |
- Agrawal, Tarun Kumar, 1989-, et al.
(författare)
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Blockchain-Based Secured Traceability System for Textile and Clothing Supply Chain
- 2018
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Ingår i: Artificial Intelligence for Fashion Industry in the Big Data Era. - Singapore : Springer Nature. - 9789811300790 - 9789811300806 ; , s. 197-208
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Blockchain has emerged as a prominent and reliable solution that can enable and ensure secure information sharing over wide area networks. In an era of digitalisation, blockchain technology is finding wide applications in multiple fields including implementing traceability in the supply chain. In this direction, this chapter explores its potential application in implementing a blockchain-based traceability system for textile and clothing (T&C) supply chain. It examines the necessity and concept of a traceability system, followed by enlisting advantages of blockchain technology for implementing traceability. Further, a case-based example has been used to explain blockchain application in implementing traceability in T&C supply chain. Finally, it mentions the challenges and limitations of such blockchain-based traceability system that can be addressed through further research.
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| 4. |
- Agrawal, Tarun Kumar, et al.
(författare)
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Blockchain-based Framework for Supply Chain Traceability : A Case Example of Textile and Clothing Industry
- 2021
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Ingår i: Computers & industrial engineering. - : Elsevier BV. - 0360-8352 .- 1879-0550.
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Tidskriftsartikel (refereegranskat)abstract
- Traceability has emerged as a prime requirement for a multi-tier and multi-site production. It enables visibility and caters to the consumer requirements of transparency and quality assurance. Textile and clothing industry is one such example that requires traceability implementation to address prevailing problems of information asymmetry and low visibility. Customers find it difficult to access product data that can facilitate ethical buying practices or assure product authenticity. Besides, it is challenging for stakeholders to share crucial information in an insecure environment with risk of data manipulations and fear of losing information advantage. In this context, this study investigates and proposes a blockchain-based traceability framework for traceability in multi-tier textile and clothing supply chain. It conceptualizes the interaction of supply chain partners, and related network architecture at the organizational level and smart contract and transaction validation rules at the operational level. To illustrate the application of the proposed framework, the study presents an example of organic cotton supply chain using blockchain with customized smart contract and transaction rules. It finally demonstrates the applicability of the developed blockchain by testing it under two parameters. The proposed system can build a technology-based trust among the supply chain partners, where the distributed ledger can be used to store and authenticate supply chain transactions. Further, the blockchain-based traceability system would provide a unique opportunity, flexibility, and authority to all partners to trace-back their supply network and create transparent and sustainable supply chain.
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| 5. |
- Agrawal, Tarun Kumar, et al.
(författare)
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Blockchain-Based Framework for Traceability – A Case Example of Nonwoven Supply Chain
- 2019
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Ingår i: EDANA-Nonwovens Innovation Academy 2019.
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Konferensbidrag (refereegranskat)abstract
- Supply chain traceability has emerged as a prime requirement for multi-tier supply chains. It not only enables the supply chain visibility but also caters to the consumer requirements related to transparency, quality assurance, and production tracking. Nonwoven supply chain is one such example that particularly requires traceability implementation due to prevailing problems related to information asymmetry and complex supply chain networks. Conversely, it is challenging for supply chain partners to share all the competitive information in the unsecure environment. In this context, in line with Industry 4.0, this study investigates blockchain technology, which uses a shared and secured data infrastructure to keep track of information about assets and requires no central authority to function. It further proposes a blockchain-based traceability framework that explains supply chain partner interaction and network architecture at organizational level and smart contract and transaction validation rules at the operational level. In order to illustrate the application of the framework, the study presents an example of a nonwoven supply chain to track the nonwoven manufacturing and distribution processes. The proposed system can build a technology-based trust among the supply chain actors, where the distributed ledger would be used to store and authenticate of supply chain transactions.
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| 6. |
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| 7. |
- Kumar, Vijay, 1989-, et al.
(författare)
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Contribution of traceability towards attaining sustainability in the textile sector
- 2017
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Ingår i: Textiles and Clothing Sustainability. - : Springer Science and Business Media LLC. - 2197-9936. ; 3:5
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Tidskriftsartikel (refereegranskat)abstract
- Sustainability is a widely recognized concern and priority for healthy growth of the society and for preservation of the planet. Concerning this, textile sector has seen an unprecedented demand for sustainable products from the consumers, responding to which organizations have undertaken different initiatives. One of the major concerns in the textile sector is its complex supply chain networks and the involvement of numerous actors dealing with diverse raw materials and operations. The effective implementation of sustainability at the industrial scale would require the participation of all supply chain actors, along with an efficient traceability system to monitor and analyze different sustainability aspects. Furthermore, traceability is an integral part of the recycling process which contributes towards the sustainability. Therefore, the present article focuses on the contribution of traceable information towards attaining the sustainability in the textile sector. The three pillars of sustainability, namely, ecological, societal, and economic, are discussed for their relation and dependency on the traceability followed by an overview of the challenges in successful implementation of the traceability system, which is anticipated to shape the future research questions.
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| 8. |
- Pal, Rudrajeet, Biträdande Professor, et al.
(författare)
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Blockchain-based traceability for fashion apparel supply chains
- 2019
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The fashion industry is often criticised for lack of traceability. This paper explores the implementation of traceability in the fashion supply chain using blockchain technology (BT). Using a demonstrative simulation we identify what are the sector-specific requirements, main procedures (i.e. smart-contract rules), and how to use them for BT-based traceability.
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| 9. |
- Harper, Sara, et al.
(författare)
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Modelling small-series supply network configuration and capabilities through a mixed-method structural analysis : Insights from high-cost textile/apparel contexts
- 2023
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Ingår i: International Journal of Services and Operations Management. - : InderScience Publishers. - 1744-2370 .- 1744-2389. ; 46:2, s. 232-259
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Tidskriftsartikel (refereegranskat)abstract
- The purpose of this paper is to understand supply network configuration for small-series production within high-cost contexts, and the context-specific decision logics associated. A total interpretive structural modelling (TISM) and MICMAC mixed-methods approach is used to determine and interpret interrelationships among SNC and capability-related aspects identified from the literature. Respondents come from EU textile/apparel companies, undertaking small-series production/sourcing in the region, with different roles in the value chain. The findings led to several propositions. They highlight the foundational nature of supply chain relationships and digital data sharing; interacting product/process flexibility and specialisation considerations, with associated enablers and barriers; the challenges related to location, which is the crucial supply chain driver; and the need to balance various interrelated capability drivers, such as quality, innovation, and sustainability. These findings can support practitioners for reconfiguration, and the approach can be used to address other contexts and thus enhance generalisability.
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| 10. |
- Harper, Sara, et al.
(författare)
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Supply network configuration and capabilities for high-cost, small series textile/apparel: A TISM approach
- 2019
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Ingår i: EurOMA 2019 Proceedings.
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Konferensbidrag (refereegranskat)abstract
- The increasing emphasis on small series production in higher cost locations is particularly challenging in the textile/apparel industry due to global supply chain configurations. To support (re)configuration in this context, Total interpretive structural modelling (TISM) method is used to gain a deeper understanding of the inter-relationships among configuration/capability related aspects from the literature. TISM interviews were done with 24 industry practitioners producing/sourcing in the EU, or in the process of implementation. The findings validate extensive inter-relations, at the same time highlighting relational aspects, internal integration, and quality as significant drivers. Further in-depth research is required to understand these influences.
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