Dynamic risk modeling and assessing in maintenance outsourcing with FCM

被引：0

作者：

Jamshidi, Afshin ^{[1
]}

Rahimi, Samira Abbasgholizadeh ^{[1
]}

Ait-kadi, Daoud ^{[1
]}

Ruiz, Angel ^{[2
]}

机构：

[1] Univ Laval, Dept Mech Engn, Ave Med, Quebec City, PQ G1V 0A6, Canada

[2] Univ Laval, Dept Business Adm, Quebec City, PQ G1V 0A6, Canada

来源：

2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM) | 2015年

关键词：

Risks analysis; Maintenance outsourcing; Fuzzy cognitive maps; Aviation; Medical equipment;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Maintenance outsourcing is a common practice in many industries, such as aviation and medical equipment manufacturing. However, there is always some dynamic risks associated with outsourcing. Risk analysis of maintenance outsourcing projects is a complex task due to consisting of many risk factors with dependencies among them. Although there are some studies on maintenance outsourcing risks, no attention has been paid to the risk analysis of maintenance outsourcing by considering the dependencies among risk factors. Considering the dependencies among risk factors could lead to more precise risks analysis and increase the success rate of outsourcing projects. To address this, we are proposing an advanced decision support tool called "Fuzzy Cognitive Maps" (FCM) which can deal with risks of such complicated systems. FCM represents the behavior of complex systems accurately and is able to consider uncertainties, imprecise information, the interactions between risk factors, information scarcity, and several decision maker's opinions. In addition, it could be applied in different decision makings problems related to outsourcing projects such as provider selection problem. Therefore, the proposed tool would help practitioners to manage maintenance outsourcing risks in a more effective and proactive way and offer better risk mitigation solutions.

引用

页码：209 / 215

页数：7