{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T15:45:02Z","timestamp":1749743102422,"version":"3.40.5"},"reference-count":25,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T00:00:00Z","timestamp":1601251200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2020,9,28]]},"abstract":"<p>Based on the local decision perspective and the global decision perspective, considering the limitation of supply capacity and prohibiting returns, the system dynamics method is used to establish a nonlinear supply chain system model. We use the Z-transform theory to transform the dynamic transfer equation into a block diagram, build a supply chain system simulation model, and use it to conduct simulation experiments. The Wolf reconstruction method is used to calculate the largest Lyapunov exponent (LLE) value of each node or combined system to judge the stability of the system. Based on different decision-making perspectives, under different combinations of safety stock factors and demand scenarios, the adjustment coefficients\u2019 decision-making schemes that keep each node in a stable state are obtained. Then, we comparatively analyze the inventory changes of each node and combined system in a stable state under different decision-making schemes.<\/p>","DOI":"10.1155\/2020\/7393848","type":"journal-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T21:50:22Z","timestamp":1601502622000},"page":"1-20","source":"Crossref","is-referenced-by-count":3,"title":["Simulation and Analysis of the Complex Dynamic Behavior of Supply Chain Inventory System from Different Decision Perspectives"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9187-4229","authenticated-orcid":false,"given":"Zusheng","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Mechanical Engineering, Chongqing University, Chongqing, China"},{"name":"Chongqing Key Laboratory of Logistics, Chongqing University, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1708-9086","authenticated-orcid":true,"given":"Xu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shanshan","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Economics and Business Administration, Chongqing University, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6180-8762","authenticated-orcid":true,"given":"Yingbo","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Big Data & Software Engineering, Chongqing University, Chongqing, China"}]},{"given":"Jianhui","family":"Du","sequence":"additional","affiliation":[]},{"given":"Baltazar","family":"Aguirre-Hern\u00e1ndez","sequence":"additional","affiliation":[]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.ijpe.2013.07.017","article-title":"A fuzzy vendor managed inventory of multi-item economic order quantity model under shortage: an ant colony optimization algorithm","volume":"155","author":"Nia","year":"2014","journal-title":"International Journal of Production Economics"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/3194093"},{"key":"3","first-page":"93","article-title":"Bullwhip effect in a supply chain","volume":"38","author":"Lee","year":"1997","journal-title":"Sloan Management Review"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.08.020"},{"volume-title":"Industrial Dynamics","year":"1961","author":"Forrester","key":"5"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1080\/00207548208947797"},{"article-title":"Development of a fitness measure for an inventory and production control system","author":"Disney","key":"7","doi-asserted-by":"crossref","DOI":"10.1049\/cp:19971205"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/s0925-5273(99)00101-2"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1080\/00207540110072975"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/s0377-2217(02)00369-7"},{"key":"11","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.jprocont.2003.09.005","article-title":"Controller design and reduction of bullwhip for a model supply chain system using z-transform analysis","volume":"14","author":"Lin","year":"2004","journal-title":"Journal of Process Control"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2003.12.020"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1093\/imaman\/dpm033"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1002\/sdr.378"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2012.06.014"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2013.04.005"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2012.08.013"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.3390\/e18070266"},{"issue":"2","key":"19","doi-asserted-by":"crossref","DOI":"10.1142\/S021812741850027X","article-title":"Complex dynamics in a triopoly game with multiple delays in the competition of green product level","volume":"28","author":"Si","year":"2018","journal-title":"International Journal of Bifurcation and Chaos"},{"issue":"2","key":"20","doi-asserted-by":"crossref","first-page":"56","DOI":"10.4018\/IJEIS.2018040104","article-title":"Dynamic performance and stability research of VMI-APIOBPCS in apparel industry based on control theory","volume":"14","author":"Zhan","year":"2018","journal-title":"International Journal of Enterprise Information Systems"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1063\/1.5085276"},{"key":"22","doi-asserted-by":"crossref","first-page":"6824","DOI":"10.1080\/00207543.2019.1566669","article-title":"Why do nonlinearities matter? 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