Ripple effect in the supply chain: an analysis and recent literature

被引:534
作者
Dolgui, Alexandre [1 ]
Ivanov, Dmitry [2 ]
Sokolov, Boris [3 ,4 ]
机构
[1] IMT Atlantique, CNRS, LS2N, Nantes, France
[2] Berlin Sch Econ & Law, Dept Econ & Business, Berlin, Germany
[3] ITMO Univ, St Petersburg, Russia
[4] RAS SPIIRAS, St Petersburg Inst Informat & Automat, Intelligent Syst Lab, St Petersburg, Russia
基金
俄罗斯基础研究基金会;
关键词
supply chain dynamics; supply chain risk management; supply chain resilience; supply chain design; supply chain engineering; FACILITY LOCATION; MITIGATING DISRUPTIONS; INVENTORY CONTROL; NETWORK DESIGN; RESILIENCE; RISK; RELIABILITY; SELECTION; DYNAMICS; RECOVERY;
D O I
10.1080/00207543.2017.1387680
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this study, the ripple effect in the supply chain is analysed. Ripple effect describes the impact of a disruption propagation on supply chain performance and disruption-based scope of changes in supply chain structural design and planning parameters. We delineate major features of the ripple effect as compared to the bullwhip effect. Subsequently, we review recent quantitative literature that tackled the ripple effect explicitly or implicitly and give our vision of the state of the art and perspectives. The literature is classified into mathematical optimisation, simulation, control theoretic and complexity and reliability research. We observe the reasons and mitigation strategies for the ripple effect in the supply chain and present the ripple effect control framework that includes redundancy, flexibility and resilience analysis. Even though a variety of valuable insights has been developed in the said area in recent years, some crucial research avenues have been identified for the near future.
引用
收藏
页码:414 / 430
页数:17
相关论文
共 78 条
[71]  
SWR, 2017, BASF GEHT ZUV INS NE
[72]   Perspectives in supply chain risk management [J].
Tang, Christopher S. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2006, 103 (02) :451-488
[73]   Resilient supplier selection and order allocation under operational and disruption risks [J].
Torabi, S. A. ;
Baghersad, M. ;
Mansouri, S. A. .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2015, 79 :22-48
[74]   Supply chain resilience: definition, review and theoretical foundations for further study [J].
Tukamuhabwa, Benjamin R. ;
Stevenson, Mark ;
Busby, Jerry ;
Zorzini, Marta .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2015, 53 (18) :5592-5623
[75]   The impact of transportation disruptions on supply chain performance [J].
Wilson, Martha C. .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2007, 43 (04) :295-320
[76]  
Xu M., 2014, INT J SYSTEMS SCI OP, V1, P105, DOI [DOI 10.1080/23302674.2014.934748, 10.1080/23302674.2014.934748]
[77]   Robust supply chain networks design and ambiguous risk preferences [J].
Yu, Guodong ;
Li, Fei ;
Yang, Yu .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (04) :1168-1182
[78]  
2016, FRANKFURTER ALLGEMEI