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EcoLogTex: a software tool supporting the design of sustainable supply chains for textiles
DTI / Titolo principale della presentazione 1 1EcoLogTex: a software toolsupporting the design of sustainablesupply chains for textilesAndrea Emilio Rizzoli
EcoLogTex - ICT4S 2Motivation Costs LCA study today needs an expert• Improve quality and Raising standards based on LCA EU Ecolabel for Textiles, environmental and EU Product Footprint Category Rules (PFCR), French Environmental Labeling Project “Grenelle” social responsibility; Product Carbon Footprint (PCF) High Complexity ISO 14067 – Carbon Footprint of Products• Provide consumers Product and Supply Chain with accessible and Scientific fact based approach transparent information• Face future cost internalisation of their Information carbon footprint. Costumers and Organizations Time• Manage the increased Traditional LCA tools are complexity added by time consuming LCA Improvement continuously improve efficiency
EcoLogTex - ICT4S 3EcoLogTex objectives Ecologtex enables traceability of the value chain and assess all impacts of a products’ life cycle Climate Change Human Health Resources
EcoLogTex - ICT4S 4EcoLogTex products Continues improvement throughout fact Benchmarker based analyses and anonymous benchmarking -> e.g. LCA studies done by Cotton Inc. Evaluate supply chain and its resulting impact for a specific desired product during design Environ Supply Chain Designer phase Cost Time ment - > design for environment U.S. Cotton’s Footprint Reduction 1987, 1997 and 2007 Inform fact based on environmental impacts of the production phase, the use phase and final Reporter disposal -> Product traceability and impact assessment
EcoLogTex - ICT4S 5The benchmarker• Quick and easy data entry in a user-friendly online questionnaire – specific user data is complemented with background data – e.g. average energy consumption values for known processes• Cradle-to-gate self assessment – calculate and compare the upstream LCI – anonymised comparison with competitors• Contribution assessment – which factors weight more• Use and share real LCI data – beneficial information enrichment cycle
EcoLogTex - ICT4S 6Some general facts on the cotton impact for textiles• Cotton is the dominant textile material, accounting for approximately 43%, but also in terms of impact shows the highest share (EU27)• Some key areas of eco-innovation identified to reduce the environmental impact include: – Organic cotton, often at a very high % of content, – Cotton that is produced using less pesticides (for example, BCI) and less irrigation water IMPRO study : Impacts of textile consumption in the EU 27, midpoint and endpoint indicators, fibre production phase, broken down by fibre
EcoLogTex - ICT4S 7State of the Art of textile Life Cycle Assessments (LCA)• A few textile LCA analyses e.g for jeans, t-shirts, .. exist but based on high amount of literature data• Often cotton data referring to the LCA study done by Cotton Inc. like for example sustainability indexes or fiber categories• Cotton impact can vary depending on the type of cultivation method and the region.• Public, certified available Cotton LCI data as a base of an accurate LCA are rare Carbon dioxide emissions Stockholm Environment Institute (2005) Carbon dioxide emissions Stockholm Environment Institute (2005)
EcoLogTex - ICT4S 9Data collection Product Life Cycle Inventory Mid point impacts according EU requirements *Page 109 ILCD Handbook: Climate Change Online data questionnaire Product and Process data Ozone Depletion for first level high quality data Human Toxicity Respiratory inorganics Ionizing radiation Photochemical Ozone formation Acidification (land and water) Eutrophication (land and water) Ecotoxicity Land Use Resources depletion (minerals, fossil and Process Life Cycle Inventory renewable energy
EcoLogTex - ICT4S 10The information flow: from data to impacts
EcoLogTex - ICT4S 11The supply chain designer• Traditional supply chain design problem – decompose your chain as a sequence of activities/processes • procure raw cotton • transport to processing site • weaving and dying • transport to processing site • shirt manufacturing and assembly (other processes converging) • transport to distribution sites • transport to marketing sites• All of this can be modelled as a mathematical programming problem – costs of processes – time of processes
EcoLogTex - ICT4S 12The supply chain designer: the layout Partial supply chain (till secondary production plants). Transportation to hubs and warehouses is not depictedGiven a product with some selected characteristics:Multiple transportation modes can be consideredAlternative supply chains are available
EcoLogTex - ICT4S 13The supply chain designer: indicators For each possible arc of the graph (transportation operation), we have 3 indicators: 1. economical cost 2. environmental impact 3. travel timeEach of these indicators can be uncertain. Examples:The travel time can be modeled as an interval (between 10 and 14 days)The travel time can be modeled as a probability distribution (normal distribution withmean 8 days and standard deviation 2.3 days)
EcoLogTex - ICT4SThe supply chain designer: the algorithm The target of the algorithm is to propose the user different alternative supply chains, optimized according to the different objective functions, taking uncertainty into account•Supply chain A, has a total economical cost of [2500, 3200], an average impact of35.3 (standard deviation 3.2) and a total production+travel time of [3.5, 4.2] months•Supply chain B, has a total economical cost of 4000, an average impact of 15.3(standard deviation 3.2) and a total production+travel time of 5.3 months•Supply chain C, has an average economical cost of 8400 (standard deviation 223.4) ,an impact of 18.4 and a total production+travel time of 2.2 months
EcoLogTex - ICT4S 17Conclusions• EcoLogTex aims to deliver a support tool for the design of sustainable supply chains• A lot of effort needs to go on data collection• The EcoLogTex model assumes the collaboration of suppliers and their involvement in a “virtuous information enrichment circle”• Opens the possibility of “ex-ante” impact assessment• The use of recent OR techniques can effectively help decision makers in the efficient exploration of the space of possible solutions• A first prototype is expected to be ready towards June 2013
EcoLogTex - ICT4S 18The project team This research is supported by the Commission for Technology and Innovation of the Federal Department of Economic Affairs of the Swiss Confederation, project number 12400.1 PFES- ES.