{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:38:47Z","timestamp":1777703927939,"version":"3.51.4"},"reference-count":20,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2019,6,3]],"date-time":"2019-06-03T00:00:00Z","timestamp":1559520000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2019,11,22]]},"abstract":"<jats:p>There are many problems in the supply chain management of Chinese enterprises, which restricts the development of enterprises and the improvement of benefits. In order to improve the decision-making ability of Internet of Things (IoT) applications in enterprise supply chain management, the collaborative filtering algorithm is optimized. The algorithm determines the collaboration type according to the nature of the optimization target, and calculates the user similarity based on the user browsing behavior, so as to seek the recommendation function of the user to best evaluate the individual. According to the two objectives of the shortest time and the highest overall satisfaction in emergency dispatching in enterprise supply chain management, a two-level planning model of commodity scheduling is constructed, the time function of the supply chain delivery process calculated. The simulation results of the model show that the demand forecasting algorithm based on neighborhood rough set and GA-SVM is used to predict the demand of chain retail supply chain, which achieves high prediction accuracy. The maximum error is 5.71%, the minimum error is 0.60. The average error is %, which is 2.84%. The research in this paper has implications for enterprise application of IoT in supply chain management. The use of decision-making model can greatly improve the operational efficiency of the supply chain.<\/jats:p>","DOI":"10.3233\/jifs-179162","type":"journal-article","created":{"date-parts":[[2019,6,4]],"date-time":"2019-06-04T12:34:05Z","timestamp":1559651645000},"page":"5809-5817","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["The application research of application decision model based on internet of things in enterprise supply chain management"],"prefix":"10.1177","volume":"37","author":[{"given":"Caiyun","family":"Chen","sequence":"first","affiliation":[{"name":"School of Accounting, Zhongnan University of Economics and Law, Wuhan, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangxi","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Accounting, Zhongnan University of Economics and Law, Wuhan, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingxuan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Accounting, Capital University of Economics and Business, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,6,3]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1080\/02522667.2016.1191184"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2016.03.047"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2015.1010747"},{"issue":"3","key":"e_1_3_2_5_2","first-page":"355","article-title":"The application of internet of things technology in modern logistics and supply chain management","volume":"18","author":"Liu Z.Z.","year":"2017","unstructured":"LiuZ.Z., GongH.Y., The application of internet of things technology in modern logistics and supply chain management, Advanced Materials Research 18(3) (2017), 355\u2013372.","journal-title":"Advanced Materials Research"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.07.014"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1504\/IJSOM.2010.035710"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2017.01.005"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1108\/IMDS-12-2015-0512"},{"issue":"3","key":"e_1_3_2_10_2","first-page":"1","article-title":"Development of an ecosystem model for the realization of internet of things (IoT) services in supply chain management","volume":"27","author":"Papert M.","year":"2018","unstructured":"PapertM., PflaumA., Development of an ecosystem model for the realization of internet of things (IoT) services in supply chain management, Electronic Markets 27(3) (2018), 1\u201315.","journal-title":"Electronic Markets"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1166\/asl.2017.8604"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2018.01.008"},{"issue":"11","key":"e_1_3_2_13_2","first-page":"1","article-title":"Impact of big data on supply chain management","volume":"2018","author":"Raman S.","unstructured":"RamanS., PatwaN., NiranjanI., Impact of big data on supply chain management, International Journal of Logistics 2018(11), 1\u201318.","journal-title":"International Journal of Logistics"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899X\/211\/1\/012007"},{"key":"e_1_3_2_15_2","first-page":"234","article-title":"Towards an Ontology-Driven Blockchain Design for Supply Chain Provenance","author":"Kim H.M.","year":"2016","unstructured":"KimH.M., LaskowskiM., Towards an Ontology-Driven Blockchain Design for Supply Chain Provenance, Social Science Electronic Publishing, 2016, pp. 234\u2013236.","journal-title":"Social Science Electronic Publishing"},{"key":"e_1_3_2_16_2","first-page":"772","article-title":"IEEE IFIP\/IEEE Symposium on Integrated Network and Service Management (IM) - 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