發(fā)布時間：2018-08-21 10:50

【摘要】：供應(yīng)鏈風(fēng)險管理引起了越來越多的關(guān)注。通過有效管控風(fēng)險來提高供應(yīng)鏈系統(tǒng)的可靠性,和提高供應(yīng)鏈的效率具有同樣的重要意義。傳統(tǒng)的基于還原論的研究方法如果僅僅關(guān)注少數(shù)變量之間的關(guān)系,不能有效解決供應(yīng)鏈風(fēng)險管理面對的不斷變化的現(xiàn)實問題,有必要探討基于整體論的供應(yīng)鏈風(fēng)險管理新思路。 供應(yīng)鏈系統(tǒng)抵抗供應(yīng)鏈風(fēng)險和生物免疫系統(tǒng)抗擊病毒有許多相似之處。本文借鑒生物免疫系統(tǒng)構(gòu)建了一個具有環(huán)境適應(yīng)性的供應(yīng)鏈風(fēng)險管理模型。擇優(yōu)學(xué)習(xí)和組織記憶是基于人工免疫的供應(yīng)鏈風(fēng)險管理模型最核心的兩部分內(nèi)容。擇優(yōu)選擇性學(xué)習(xí)為組織尋找最優(yōu)解決風(fēng)險事件的策略提供了空間。供應(yīng)鏈依靠知識庫的記憶機制不斷的積累供應(yīng)鏈風(fēng)險管理經(jīng)驗,使得供應(yīng)鏈風(fēng)險管理水平隨著運營時間不斷增強。為了驗證本文提出的供應(yīng)鏈風(fēng)險管理模型的有效性,我們借鑒March等提出的組織學(xué)習(xí)仿真模型,構(gòu)建了一個基于人工免疫的供應(yīng)鏈風(fēng)險管理仿真模型。基于Netlogo平臺使用多主體仿真技術(shù)進(jìn)行仿真實驗,結(jié)果表明供應(yīng)鏈處理風(fēng)險事件的速度隨運營時間增加變短,供應(yīng)鏈風(fēng)險管理水平隨運營時間增加逐步提高。另外,供應(yīng)鏈企業(yè)風(fēng)險管理知識共享和供應(yīng)鏈風(fēng)險事件演習(xí)可以有效的提高供應(yīng)鏈風(fēng)險管理的績效。 將人工免疫理論用于供應(yīng)鏈風(fēng)險管理,是在理論上的一次創(chuàng)新性的嘗試。本文構(gòu)建的基于人工免疫的供應(yīng)鏈風(fēng)險管理模型,從整體論的角度促進(jìn)了供應(yīng)鏈風(fēng)險管理理論的發(fā)展,對企業(yè)建立面向供應(yīng)鏈風(fēng)險管理的知識管理系統(tǒng)也有一定的指導(dǎo)意義。
[Abstract]:Supply chain risk management has attracted more and more attention. It is of the same significance to improve the reliability of supply chain system through effective risk management and to improve the efficiency of supply chain. If the traditional research method based on reductionism only pays attention to the relationship between a few variables, it can not effectively solve the ever-changing realistic problems faced by supply chain risk management. Therefore, it is necessary to explore a new approach to supply chain risk management based on global theory. There are many similarities between the supply chain system resistance to supply chain risk and the biological immune system in fighting viruses. This paper constructs a supply chain risk management model with environmental adaptability for reference to biological immune system. Optimal learning and organizational memory are two core parts of supply chain risk management model based on artificial immune. Selective learning provides a space for an organization to find an optimal solution to risk events. Supply chain relies on memory mechanism of knowledge base to accumulate supply chain risk management experience, which makes supply chain risk management level increase with operation time. In order to verify the effectiveness of the supply chain risk management model proposed in this paper, a supply chain risk management simulation model based on artificial immune is constructed by using the organizational learning simulation model proposed by March et al. The simulation experiment based on Netlogo platform using multi-agent simulation technology shows that the speed of handling risk events in supply chain becomes shorter with the increase of operation time, and the risk management level of supply chain increases gradually with the increase of operation time. In addition, supply chain enterprise risk management knowledge sharing and supply chain risk event exercises can effectively improve the performance of supply chain risk management. It is an innovative attempt to apply artificial immune theory to supply chain risk management. The model of supply chain risk management based on artificial immunity, which promotes the development of supply chain risk management theory from the perspective of global theory, has some guiding significance for enterprises to establish knowledge management system for supply chain risk management.
【學(xué)位授予單位】：廈門大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F274;F224

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