{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T07:11:39Z","timestamp":1765609899224,"version":"3.41.2"},"reference-count":25,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,2,24]],"date-time":"2019-02-24T00:00:00Z","timestamp":1550966400000},"content-version":"vor","delay-in-days":54,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Science and Technology Support Program of China","award":["2015BAF05B03"],"award-info":[{"award-number":["2015BAF05B03"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>Under the third\u2010party logistics management inventory model, the system dynamics method is used to establish a nonlinear supply chain system model with supply capacity limitation and nonpermissible return, which is based on unsatisfied demand nonaccumulation. The theory of singular value and the Jury Test are used to derive the stable interval of the model which is simplified. The Largest Lyapunov Exponent (LLE) of the system is calculated by the Wolf reconstruction method and used to analyze the influence of different parameters of system\u2019s stability. Then, the most reasonable and unreasonable combination of decision parameters under different demand environment is found out. Next, this paper compared and analyzed the change of inventory or transportation volume of system members under the combination of rational and irrational decision parameters. All of these provided guidance for decision making, which shows an important practical significance.<\/jats:p>","DOI":"10.1155\/2019\/3194093","type":"journal-article","created":{"date-parts":[[2019,2,24]],"date-time":"2019-02-24T23:30:56Z","timestamp":1551051056000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Simulation and Analysis of the Complex Behavior of Supply Chain Inventory System Based on Third\u2010Party Logistics Management Inventory Model with No Accumulating of Unsatisfied Demand"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9187-4229","authenticated-orcid":false,"given":"Zusheng","family":"Zhang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1708-9086","authenticated-orcid":false,"given":"Xu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Qianqian","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Zhenrui","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6180-8762","authenticated-orcid":false,"given":"Yingbo","family":"Wu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2019,2,24]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"publisher","DOI":"10.3906\/elk-1602-354"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2013.07.017"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.08.020"},{"key":"e_1_2_11_4_2","first-page":"93","article-title":"Bullwhip effect in a supply chain","volume":"38","author":"Lee H. 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