A software application for rapid risk assessment in integrated supply chains

被引:22
作者
Aqlan, Faisal [1 ]
机构
[1] Penn State Univ, Behrend Coll, Dept Ind Engn, Erie, PA 16563 USA
关键词
Rapid risk assessment; Probability theory; Fuzzy logic; Risk priority matrix; Integrated supply chains; MANAGEMENT TOOL; MODEL;
D O I
10.1016/j.eswa.2015.08.028
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Supply chain risk management (SCRM) has become a critical component of supply chain management with the movement to global supply chains and the increasing occurrence of internal and external risk events. Effective management of supply chain risks requires a comprehensive yet rapid assessment of all the risk factors in the supply chain and their potential impacts. This paper presents a software application framework for rapid risk assessment (RRA) in integrated supply chains. The proposed framework combines qualitative and quantitative methods to assess and prioritize the risks. Qualitative methods are based on surveys used to collect the risk probability and impact data for the main agents in the supply chain (i.e., supplier, customer, manufacturer, etc.). Quantitative methods are based on probability theory and fuzzy logic. Risks are calculated for each agent in the supply chain and are then aggregated per product type. The proposed RRA tool was tested in a manufacturing environment to assess the validity of the proposed framework. Results from the case study showed that the assessment obtained by the proposed framework agrees with what the risk management experts think about the risk levels and priorities in the company. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:109 / 116
页数:8
相关论文
共 24 条
[1]  
[Anonymous], 2010, THESIS
[2]   Supply chain risk modelling and mitigation [J].
Aqlan, Faisal ;
Lam, Sarah S. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2015, 53 (18) :5640-5656
[3]   A fuzzy-based integrated framework for supply chain risk assessment [J].
Aqlan, Faisal ;
Lam, Sarah S. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2015, 161 :54-63
[4]   Integrating lean principles and fuzzy bow-tie analysis for risk assessment in chemical industry [J].
Aqlan, Faisal ;
Ali, Ebrahim Mustafa .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2014, 29 :39-48
[5]  
Blackhurst J, 2009, MANAGING SUPPLY CHAIN RISK AND VULNERABILITY, P1
[6]   Measuring the supply chain risk and vulnerability in frequency space [J].
Bogataj, David ;
Bogataj, Marija .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2007, 108 (1-2) :291-301
[7]   Supply chain operational risk mitigation: a collaborative approach [J].
Chen, Jie ;
Sohal, Amrik S. ;
Prajogo, Daniel I. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (07) :2186-2199
[8]  
Chopra S, 2004, MIT SLOAN MANAGE REV, V46, P53
[9]   Supply chain risk management and its mitigation in a food industry [J].
Diabat, Ali ;
Govindan, Kannan ;
Panicker, Vinay V. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (11) :3039-3050
[10]   Risk identification and assessment for build-operate-transfer projects: A fuzzy multi attribute decision making model [J].
Ebrahimnejad, Sadoullah ;
Mousavi, Seyed Meysam ;
Seyrafianpour, Hamed .
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (01) :575-586