{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T18:38:17Z","timestamp":1778783897561,"version":"3.51.4"},"reference-count":33,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2021,7,14]],"date-time":"2021-07-14T00:00:00Z","timestamp":1626220800000},"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: Applications in Engineering and Technology"],"published-print":{"date-parts":[[2021,8,11]]},"abstract":"<jats:p>A disruption management method based on cumulative prospect theory is proposed for the urgent with deteriorating effect arrival in flexible job shop scheduling problem (FJSP). First, the mathematical model of problem is established with minimizing the completion time of urgent order, minimizing the total process time of the system and minimizing the total cost as the target. Then, the cumulative prospect theory equation of the urgent arrival in job shop scheduling process is induced designed. Based on the selected model, an optimized multi-phase quantum particle swarm algorithm (MQPSO) is proposed for selecting processing route. Finally, using Solomon example simulation and company Z riveting shop example as the study object, the performance of the proposed method is analyzed. It is compared with the current common rescheduling methods, and the results verify that the method proposed in this paper not only meets the goal of the optimized objects, but improves the practical requirements for the stability of production and processing system during urgent arrival. Lastly, the optimized multiphase quantum particle swarm algorithm is used to solve disruption management of urgent arrival problem. Through instance analysis and comparison, the effectiveness and efficiency of urgent arrival disruption management method with deteriorating effect are verified.<\/jats:p>","DOI":"10.3233\/jifs-210166","type":"journal-article","created":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T10:18:26Z","timestamp":1626430706000},"page":"1247-1259","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Research on disruption management of urgent arrival in job shop with deteriorating effect"],"prefix":"10.1177","volume":"41","author":[{"given":"Ning","family":"Tao","sequence":"first","affiliation":[{"name":"Dalian Minzu University"},{"name":"Big Data Application Technology Key Laboratory of State Ethnic Affairs Commission"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duan","family":"Xiaodong","sequence":"additional","affiliation":[{"name":"Dalian Minzu University"},{"name":"Big Data Application Technology Key Laboratory of State Ethnic Affairs Commission"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"An","family":"Lu","sequence":"additional","affiliation":[{"name":"Dalian Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gou","family":"Tao","sequence":"additional","affiliation":[{"name":"Dalian Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2021,7,14]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2011.04.020"},{"issue":"4","key":"e_1_3_2_3_2","first-page":"48","article-title":"Research on the disruption management for flow-shop scheduling problem based on particle swarm optimization","volume":"17","year":"2012","unstructured":"Pan Feng-shan and Ye Chun-ming, Research on the disruption management for flow-shop scheduling problem based on particle swarm optimization, Industrial Engineering and Management 17(4) (2012), 48\u201353.","journal-title":"Industrial Engineering and Management"},{"issue":"2","key":"e_1_3_2_4_2","first-page":"378","article-title":"Disruption management model and algorithm for distribution vehicle scheduling problems under accidental travel time delay","volume":"33","year":"2013","unstructured":"WANG Zheng, HU Xiangpei and WANG Xuping, Disruption management model and algorithm for distribution vehicle scheduling problems under accidental travel time delay, Systems Engineering Theory and Practice 33(2) (2013), 378\u2013387.","journal-title":"Systems Engineering Theory and Practice"},{"issue":"3","key":"e_1_3_2_5_2","first-page":"201","article-title":"Disruption management on unrelated machines scheduling considering modification of machine\u2019s production rate","volume":"22","year":"2014","unstructured":"Liu Feng, Wang Jian-jun, Yang De-li, et al. 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