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This study proposed colored Petri nets to model the ASC with uncertainty risks, and the simulation model was able to give directions regarding the maximization of system performance by running different simulation experiments. Then, robust metric models were set up in regard to the delivery time and quantity of the supply chain. The entire system performance was analyzed through using these metric models. Finally, robust optimal strategies were investigated in order to maintain the robustness of the ASC by selecting a suitable partner quantity. <\/jats:p>","DOI":"10.1177\/0037549715604029","type":"journal-article","created":{"date-parts":[[2015,10,1]],"date-time":"2015-10-01T03:14:30Z","timestamp":1443669270000},"page":"898-915","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Investigating the robustness of the agricultural supply chain based on colored Petri nets"],"prefix":"10.1177","volume":"91","author":[{"given":"Wen chong","family":"Chen","sequence":"first","affiliation":[{"name":"Faculty of Engineering, Nanjing Agricultural University, China"}]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Nanjing Agricultural University, China"}]},{"given":"Dan ping","family":"Wen","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, 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