The early warning management of logistics service risk based on fuzzy comprehensive evaluation

Liu, Mingfei; Cui, Jianli

doi:10.1109/gsis.2007.4443419

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Liu (2007) [1] applied fuzzy comprehensive evaluation method to logistics service risk early warning management, formulating an index system of logistics service risk early warning and predicting logistics service risk status in both single early warning mode and comprehendsive early warning mode, and provide a set of warning signals match with logistics service risk classification. Q.…”

Section: Status Quo Of Researches On Enterprise Logistics Risk Early mentioning

confidence: 99%

Analysis on Influencing Elements of Enterprise Logistics Risk Early Warning: Based on Manufacturing Industries in Beijing Area

Liu¹,

Yu²

2013

AJIBM

View full text Add to dashboard Cite

Enterprise logistics risk early warning is an essential part of enterprise logistics risk management, which has been increasingly drawing the attentions of both practical and academic world. However, enterprise logistics risk early warning hasn't been radically put into practice yet. Therefore, the factors hinder the proceeding of enterprise logistics risk early warning become the key to starting the engine of enterprise logistics risk early warning. In this paper, review of researches on enterprise logistics risk early warning is provided, a questionnaire has been designed according to both exterior and internal factors influencing enterprise logistics risk early warning and a survey on manufacturing industries in Beijing area has been carried out, logistics risk early warning status and influencing elements have been analyzed based on previous survey and advices proposed are concluded to provide valuable references. Keywords: Enterprise Logistics; Risk Early Warning; Influencing Elements PrefaceIn China, enterprise logistics risk has not gained sufficient watch due to the ignorance of perception of risk among corporate management and inability of risk control, which contributes to the outbreak of enterprise risk accidents and increases that probability. It's proved true that effectiveness achieved by prevention work before the outbreak of risk accidents outweighs that of postaccident emergency management, hence the significance of enterprise logistics risk early warning. Both practical and academic world should pay attention to related researches. Status Quo of Researches on Enterprise Logistics Risk Early WarningSo far, related researches on enterprise logistics risk early warning mainly focus on logistics service risk, outsourcing risk, reverse logistics and enterprise logistics, but the empirical researches seldom appear.Liu (2007) [1] applied fuzzy comprehensive evaluation method to logistics service risk early warning management, formulating an index system of logistics service risk early warning and predicting logistics service risk status in both single early warning mode and comprehendsive early warning mode, and provide a set of warning signals match with logistics service risk classification. Q. Cheng (2010) [2] analyzed causes of formation of logistics service operation risk according to the connotetion and categories of logistics service operation risk, and discussed the methodologies, models, substances and requirements of early warning, also provided an index system and some strategies of logistics service operation risk early warning. Y. S. Liu et al. (2010) [3] analyzed causing factors of risk during supply chain logistics service of logistics corporations, designing a corporate logistics risk early warning index system based on balance score card, and applied fuzzy evaluation-AHP to logistics corporations risk early warning.L. H. Liu (2005) [4] conducted a preliminary design of logistics outsourcing, integrating fuzzy comprehensive evaluation method with outsourcing risk evaluation. G....

show abstract

Section: Status Quo Of Researches On Enterprise Logistics Risk Early mentioning

confidence: 99%