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The production data are collected, which can be used to predict the manufacturing events. Based on those, disruption problems of scheduling should be researched from a new point of view. In this paper, new job arrivals were considered as the disruption event. The time of the occurrence of disruption was predictable in contrast to uncertainty. Alternative subcontractors chosen from the cloud platform were available for outsourcing with different processing prices and transporting distances. The objective of the original scheduling, the deviation between the new schedule and the old one, and the outsourcing cost were all considered. To express the problem, mathematical models and a three-field notation model were constructed. To solve the problem, a hybrid quantum-inspired chaotic group leader optimization algorithm was proposed, in which a hybrid encoding way was applied. To verify the algorithm, experiments were carried out. The results showed that the proposed algorithm performs well.<\/jats:p>","DOI":"10.1515\/jisys-2016-0016","type":"journal-article","created":{"date-parts":[[2016,9,26]],"date-time":"2016-09-26T04:32:55Z","timestamp":1474864375000},"page":"683-695","source":"Crossref","is-referenced-by-count":5,"title":["Disruption Management for Predictable New Job Arrivals in Cloud Manufacturing"],"prefix":"10.1515","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5587-3966","authenticated-orcid":false,"given":"Mi","family":"Liu","sequence":"first","affiliation":[{"name":"College of Mechanical Engineering , Chongqing University , Chongqing 400044 , China"}]},{"given":"Shuping","family":"Yi","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering , Chongqing University , Shazheng Street, Shapingba District , Chongqing 400044 , China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7228-0000","authenticated-orcid":false,"given":"Peihan","family":"Wen","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering , Chongqing University , Chongqing 400044 , China"}]},{"given":"Haicao","family":"Song","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering , Chongqing University , Chongqing 400044 , China"},{"name":"College of Mechanical and Electrical Engineering , Shihezi University , Xinjiang 832003 , China"}]}],"member":"374","published-online":{"date-parts":[[2016,9,24]]},"reference":[{"key":"2025120523365019609_j_jisys-2016-0016_ref_001_w2aab3b7b2b1b6b1ab1b7b1Aa","doi-asserted-by":"crossref","unstructured":"M. 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