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The measurement method of value function based on prospect theory and the disruption management strategy of customer\u2019s psychological perception are put forward in this paper. A multi-objective optimization model for disruption management of logistics distribution is established through multi-objective programming at first. Next, the idea of gradual optimization for the target to obtain the terminal logistics distribution adjustment scheme with minimum disturbance is introduced. Acting the customer\u2019s psychological perception time as the reference point, the degree of the customer\u2019s psychological perception of the expected time of goods is measured with the prospect theory. In order to optimize the disruption management model and search the optimum solution of multi-objective optimization problem, an improved quantum bacterial foraging algorithm is proposed. The effectiveness and practicability of the proposed method is verified through the comparison and analysis with rescheduling method.<\/jats:p>","DOI":"10.3233\/jifs-190916","type":"journal-article","created":{"date-parts":[[2019,11,19]],"date-time":"2019-11-19T11:51:10Z","timestamp":1574164270000},"page":"8371-8379","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Disruption management strategy of terminal logistics under accidental travel time delay based on prospect theory"],"prefix":"10.1177","volume":"37","author":[{"given":"Tao","family":"Ning","sequence":"first","affiliation":[{"name":"Institute of Software, Dalian Jiaotong University, Dalian"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Gou","sequence":"additional","affiliation":[{"name":"Institute of Software, Dalian Jiaotong University, Dalian"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Innovation Entrepreneurship Institute of Education, Dalian Jiaotong University, Dalian"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,11,16]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2012.01.039"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.4018\/jdsst.2013010103"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1080\/13675567.2014.907397"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2013.08.028"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbspro.2014.01.1483"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2016.09.003"},{"issue":"10","key":"e_1_3_2_8_2","first-page":"1293","article-title":"Multistage order-delivery problem with information flow under B2C environment","volume":"27","author":"Li L.","year":"2010","unstructured":"LiL., LiuS.X., TangJ.F., Multistage order-delivery problem with information flow under B2C environment, Control Theory & Applications 27(10) (2010), 1293\u20131299.","journal-title":"Control Theory & Applications"},{"issue":"6","key":"e_1_3_2_9_2","first-page":"111","article-title":"The model of vehicle breakdown rescue based on disruption management","volume":"28","author":"Jiang L.","year":"2010","unstructured":"JiangL., DingB., ZangX.N., The model of vehicle breakdown rescue based on disruption management, System Engineering 28(6) (2010), 111\u2013116.","journal-title":"System Engineering"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1111\/cts.12158"},{"issue":"11","key":"e_1_3_2_11_2","first-page":"1","article-title":"A model for disruption management based on prospect theory in logistic distribution","volume":"17","author":"DING Q.L.","year":"2014","unstructured":"DINGQ.L., HUX.P., JAINGY., A model for disruption management based on prospect theory in logistic distribution, Journal of Management Sciences in China 17(11) (2014), 1\u20139, 19.","journal-title":"Journal of Management Sciences in China"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1108\/20439371311293688"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2018.05.139"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2014.06.031"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00122574"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.2307\/1914185"},{"issue":"2","key":"e_1_3_2_17_2","first-page":"171","article-title":"An introduction to prospect theory","volume":"13","author":"Jack S.L.","year":"1992","unstructured":"JackS.L., An introduction to prospect theory, International Society of Political Psychology 13(2) (1992), 171\u2013186.","journal-title":"International Society of Political Psychology"},{"issue":"5","key":"e_1_3_2_18_2","first-page":"1236","article-title":"Disruption management decision model for vehicle scheduling under disruption delay","volume":"39","author":"Ning T.","year":"2019","unstructured":"NingT., WangX.P., HuX.P., Disruption management decision model for vehicle scheduling under disruption delay, Systems Engineering-Theory & Practice 39(5) (2019), 1236\u20131245.","journal-title":"Systems Engineering-Theory & Practice"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1002\/int.21896"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-171391"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2018.2833053"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.013"},{"key":"e_1_3_2_23_2","unstructured":"SolomonM. 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