The risk management of perishable supply chain based on coloured Petri Net modeling  被引量:1

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作  者:Lu Liu Xinlei Liu Guangchen Liu 

机构地区:[1]School of Transportation,Ludong University,Yantai 264000,China [2]School of Mathematics and Statistics Science,Ludong University,Yantai 264000,China

出  处:《Information Processing in Agriculture》2018年第1期47-59,共13页农业信息处理(英文)

基  金:This work was supported by the National Natural Science Foundation of China(No.61201432);Colleges and universities of Shandong Province science and technology plan projects(No.J16LE16);the Natural Science Foundation of Shandong Province(ZR2017BG016).

摘  要:The supply chain of perishable products is a combination of information organization,sharing and integration.The information modeling of supply chain is constructed to abstract key quality information including environment information,processing procedures and product quality assessments based on principle of quality safety factors and property of decay rate.The coloured Petri Net is applied for integrated description of independent information classification,aiming at risk identification and risk management framework.Well,according to the quality deterioration tendency,risk grades management and decision-making system are established.Practically,the circulation system of aquatic products is studied in this paper for full processing description.The simulation experiments are manipulated on environmental information,processing information and product quality information by the coloured Petri Net.Eventually,the conclusion turns out precisely as such that the coloured Petri Net conclusive for information classification and information transmission while integrated information management is available of efficient risk identification and decision-making system in supply chain of perishable products.Meanwhile,the validity of evaluating management and shelf-life estimation of perishable products are technically feasible.

关 键 词:Petri nets Supply chain Risk management Simulation technique Perishable product 

分 类 号:TP3[自动化与计算机技术—计算机科学与技术]

 

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