Optimization of straw supply chain considering carbon emissions, supply uncertainty and facility disruption risk

This paper explores the straw fodderisation project supply chain in Siping City, Jilin Province, with the raw material supply chain of the straw fermentation feed project as the research object. The relationship between the cost of the straw feed engineering supply chain and the carbon emission target is demonstrated through examples. The buffer analysis, overlay analysis and other functions of ArcGIS system are used to study the research data of Siping City, Jilin Province. With the map of Siping City, alternative points for storage facilities are obtained. Based on the deterministic model, a two-stage stochastic planning model for a multi-period three-stage straw supply chain is established by considering the uncertainty of straw raw material supply and the risk of facility failure. The uncertainty model was solved by improving the standard Drosophila algorithm, and the results of the deterministic and stochastic models were compared and sensitivity analyses were performed to optimise the straw collection, storage and transportation as a whole. The results show that considering uncertainty is necessary for straw supply chain design, which can improve the system efficiency, reduce the total cost of the supply chain, improve the ability of the supply chain to cope with the risk of facility failure, and promote the sustainable development of straw forage.