{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T19:00:35Z","timestamp":1772650835022,"version":"3.50.1"},"reference-count":23,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,1,3]],"date-time":"2019-01-03T00:00:00Z","timestamp":1546473600000},"content-version":"vor","delay-in-days":2,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2018 MG004"],"award-info":[{"award-number":["ZR2018 MG004"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>For random distributors under supply disruptions caused by emergency incidents, a fuzzy emergency model and a robust emergency strategy of the supply chain system are studied. First, for a kind of supply chain system composed of a strategic manufacturer, a backup manufacturer, and multiple distributors, the basic emergency models, including the inventory models and a total cost model, are constructed under random supply disruptions. Then, based on the Takagi\u2010Sugeno fuzzy system, the basic emergency models of the supply chain system are converted into a discrete switching model, which can realize soft switching among the basic emergency models. Furthermore, according to the different inventory levels, the strategic manufacturer\u2019s production strategies and the distributors\u2019 ordering strategies are designed to reduce the inventory costs of the node enterprises in supply chain system. Second, by defining a discrete piecewise Lyapunov function in each maximal overlapped\u2010rules group, a new fuzzy robust emergency strategy for the supply chain system is proposed through the principle of parallel distributed compensation. This emergency strategy can not only restore the impaired supply chain to the normal operation state but also keep the total cost of the supply chain at a low level and guarantee the robust stability of the emergency supply chain system. Finally, the simulation results illustrate the effectiveness of the proposed fuzzy robust emergency strategy of the supply chain system.<\/jats:p>","DOI":"10.1155\/2019\/3092514","type":"journal-article","created":{"date-parts":[[2019,1,3]],"date-time":"2019-01-03T23:31:27Z","timestamp":1546558287000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Fuzzy Emergency Model and Robust Emergency Strategy of Supply Chain System under Random Supply Disruptions"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8040-2023","authenticated-orcid":false,"given":"Songtao","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Panpan","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2406-5007","authenticated-orcid":false,"given":"Min","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2019,1,3]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"publisher","DOI":"10.5267\/j.ijiec.2016.5.002"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2017.1351640"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.5055\/jem.2016.0290"},{"key":"e_1_2_11_4_2","doi-asserted-by":"publisher","DOI":"10.1108\/JHLSCM-05-2014-0019"},{"key":"e_1_2_11_5_2","doi-asserted-by":"publisher","DOI":"10.14257\/ijunesst.2016.9.1.33"},{"key":"e_1_2_11_6_2","first-page":"1","article-title":"Bi-objective emergency blood supply chain network design in earthquake considering earthquake magnitude: a comprehensive study with real world application","author":"Khalilpourazari S.","year":"2017","journal-title":"Annals of Operations Research"},{"key":"e_1_2_11_7_2","doi-asserted-by":"publisher","DOI":"10.1080\/23302674.2015.1126379"},{"key":"e_1_2_11_8_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2014.886790"},{"key":"e_1_2_11_9_2","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/5103716"},{"key":"e_1_2_11_10_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2010.518744"},{"key":"e_1_2_11_11_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2015.1030469"},{"key":"e_1_2_11_12_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207720903326894"},{"key":"e_1_2_11_13_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2011.617891"},{"key":"e_1_2_11_14_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2015.1074297"},{"key":"e_1_2_11_15_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2014.916829"},{"key":"e_1_2_11_16_2","doi-asserted-by":"publisher","DOI":"10.1080\/13675560500405584"},{"key":"e_1_2_11_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-014-0939-y"},{"key":"e_1_2_11_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2012.12.017"},{"key":"e_1_2_11_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2015.12.009"},{"key":"e_1_2_11_20_2","first-page":"63","article-title":"A robust competitive global supply chain network design under disruption: the case of medical device industry","volume":"26","author":"Zegorhi S. 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