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  本文選題：供應(yīng)鏈　切入點：供應(yīng)鏈庫存系統(tǒng)　出處：《青島大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：在突發(fā)事件下,把供應(yīng)鏈庫存系統(tǒng)看作一個整體,從系統(tǒng)內(nèi)部結(jié)構(gòu)著手,采用動態(tài)系統(tǒng)的方法,建立系統(tǒng)的模型,研究其動態(tài)的特性,掌握其運行的規(guī)則,并提出解決供應(yīng)鏈庫存系統(tǒng)管理問題的應(yīng)急對策,逐漸成為學(xué)術(shù)界關(guān)注的問題之一。由于在供應(yīng)鏈突發(fā)事件研究領(lǐng)域中還有許多方面需要進(jìn)一步研究,有必要從不同的角度出發(fā),研究不同的突發(fā)事件對供應(yīng)鏈造成的影響,從而能夠使有關(guān)供應(yīng)鏈突發(fā)事件的研究得到完善,更好的為社會實踐服務(wù)。突發(fā)事件是造成需求突變的重要因素。本文結(jié)合多Agent系統(tǒng)建模與仿真方法,利用Swarm仿真平臺,研究需求突變對供應(yīng)鏈庫存系統(tǒng)動態(tài)特性的影響。在此基礎(chǔ)上,建立了包括制造商、分銷商、零售商的三級供應(yīng)鏈庫存系統(tǒng)模型,在開發(fā)工具Swarm平臺上分別對市場需求突變下供應(yīng)鏈庫存系統(tǒng)動態(tài)特性、需求突變下不同提前期的供應(yīng)鏈庫存系統(tǒng)動態(tài)特性、需求突變下采用備用庫存策略的供應(yīng)鏈庫存系統(tǒng)動態(tài)特性以及需求突變下采用信息共享的供應(yīng)鏈庫存系統(tǒng)動態(tài)特性進(jìn)行仿真分析。通過仿真分析需求突變下不同提前期的供應(yīng)鏈庫存系統(tǒng),得出緩解需求激增帶來風(fēng)險的對策:縮短提前期能夠在一定程度上應(yīng)對需求激增帶來的風(fēng)險。然后,仿真分析了市場需求激增下采用備用庫存策略給供應(yīng)鏈庫存系統(tǒng)動態(tài)特性帶來的影響。通過對兩種策略進(jìn)行比較,相比于縮短提前期,通過采取備用庫存策略,可以更好地提高供應(yīng)鏈應(yīng)對市場需求突變(激增)風(fēng)險的能力,能夠盡快地使供應(yīng)鏈庫存系統(tǒng)的運行恢復(fù)正常水平。并且,仿真分析了采用信息共享策略的供應(yīng)鏈庫存系統(tǒng),仿真結(jié)果表明,相比與傳統(tǒng)模式,信息共享策略也可以從一定程度上緩解市場需求突變帶來的風(fēng)險,從而為應(yīng)對和緩解市場需求突變給供應(yīng)鏈帶來的影響提供了現(xiàn)實意義的解決思路。
[Abstract]:In the event of an emergency, the supply chain inventory system as a whole, starting from the internal structure of the system, using the method of dynamic system, build the model of the system, to study the dynamic characteristics, grasp its operation rules, and put forward the countermeasures to solve the problem of inventory system in supply chain management, has gradually become one of the academic circles the problems in the supply chain. Because of unexpected events in the research field and there are many aspects need further research, it is necessary to start from different angles, different effects of emergencies caused by the supply chain, so as to make the research on the supply chain emergency improved, better service for social practice. The emergency is an important factor causing demand disruption. Combining with the method of modeling and Simulation of multi Agent system, using the Swarm simulation platform, the research needs of mutation on dynamic characteristics of supply chain inventory system. Ring. On this basis, including the establishment of manufacturers, distributors, three echelon supply chain system model of retailers, in the Swarm platform development tools on the market demand and supply under the dynamic characteristics of supply chain inventory system, the dynamic characteristics of the demand disruption of supply chain inventory system in different time, using spare inventory strategy under demand disruption the supply chain inventory system dynamic characteristic and demand is used to carry out simulation analysis of information sharing in supply chain inventory system dynamic characteristics. The demand analysis of mutation mutation under different lead time of the supply chain inventory system through simulation, that ease the surge in demand risk: Countermeasures to shorten the lead time to a certain extent, cope with the surge in demand risks. Then, the simulation analysis of the impact of the surge in market demand under the alternative inventory strategy bring to the supply chain inventory system through dynamic characteristics. Comparison of two kinds of methods, compared to shorten the lead time, by taking the spare inventory strategy, it can improve the supply chain response to market demand mutation (Ji Zeng) the ability of the risk, to make the supply chain inventory system to resume normal operation level. And simulation analysis of sharing inventory system of supply chain strategy use information, the simulation results show that compared with the traditional model, information sharing strategy can also demand from the market to some extent alleviate the risks caused by mutations, thus easing solution market demand impact to the supply chain mutation provides practical significance for coping and.

【學(xué)位授予單位】：青島大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F274;TP391.9

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