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2018 | OriginalPaper | Buchkapitel

Simulation Vs. Optimization Approaches to Ripple Effect Modelling in the Supply Chain

verfasst von : Dmitry Ivanov, Alexandre Dolgui, Marina Ivanova, Boris Sokolov

Erschienen in: Dynamics in Logistics

Verlag: Springer International Publishing

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Abstract

As a result of supply chain structural dynamics, the ripple effect occurs whereby disruption propagates downstream or upstream from the initial disturbance point in the network. Since ripple effect analysis includes both dynamic and static parametrical sets, the research objective of this study is to identify recommendations on the preferable applications of simulation and optimization methods. We identify some problem classes and datasets for which optimization, simulation, and hybrid optimization-simulation methods can be recommended.

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Vorheriges Kapitel Theory Landscape and Research Perspectives in Current Supply Chain Resilience Research

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Carvalho, H., Barroso, A.P., Machado, V.H., Azevedo, S., Cruz-Machado, V.: Supply chain redesign for resilience using simulation. Comp. Ind. Eng. 62(1), 329–341 (2012)CrossRef

Dolgui, A., Ivanov, D., Sokolov, B.: Ripple effect in the supply chain: an analysis and recent literature. Int. J. Prod. Res. (2018, published online). https://doi.org/10.1080/00207543.2017.1387680

Frazzon, E.M., Albrecht, A., Pires, M.C., Israel, E., Kück, M., Freitag, M.: Hybrid approach for the integrated scheduling of production and transport processes along supply chains. Int. J. Prod. Res. (2017). https://doi.org/10.1080/00207543.2017.1355118

Hasani, A., Khosrojerdi, A.: Robust global supply chain network design under disruption and uncertainty considering resilience strategies: a parallel memetic algorithm for a real-life case study. Transp. Res. Part E Logist. Transp. Rev. 87, 20–52 (2016)CrossRef

Ho, W., Zheng, T., Yildiz, H., Talluri, S.: Supply chain risk management: a literature review. Int. J. Prod. Res. 53(16), 5031–5069 (2015)CrossRef

Ivanov, D.: Structural Dynamics and Resilience in Supply Chain Risk Management. Springer, New York (2018)CrossRef

Ivanov, D., Rozhkov, M.: Coordination of production and ordering policies under capacity disruption and product write-off risk: an analytical study with real-data based simulations of a fast moving consumer goods company. Ann. Oper. Res. (2017, published online). https://doi.org/10.1007/s10479-017-2643-8

Ivanov, D.: Simulation-based ripple effect modelling in the supply chain. Int. J. Prod. Res. 55(7), 2083–2101 (2017)CrossRef

Ivanov, D., Pavlov, A., Pavlov, D., Sokolov, B.: Minimization of disruption-related return flows in the supply chain. Int. J. Prod. Econ. 183, 503–513 (2017b)CrossRef

Ivanov, D., Sokolov, B., Dolgui, A.: The Ripple effect in supply chains: trade-off ‘efficiency-flexibility-resilience’ in disruption management. Int. J. Prod. Res. 52(7), 2154–2172 (2014a)CrossRef

Ivanov, D., Sokolov, B., Pavlov, A., Dolgui, A., Pavlov, D.: Disruption-driven supply chain (re)-planning and performance impact assessment with consideration of pro-active and recovery policies. Transp. Res. Part E 90, 7–24 (2016)CrossRef

Ivanov, D., Sokolov, B., Pavlov, A.: Optimal distribution (re)planning in a centralized multi-stage network under conditions of ripple effect and structure dynamics. Eur. J. Oper. Res. 237(2), 758–770 (2014b)MathSciNetCrossRefMATH

Ivanov, D., Tsipoulanidis, A., Schönberger, J.: Global Supply Chain and Operations Management, 1st edn. Springer, Cham (2017a)CrossRefMATH

Ivanov, D., Dolgui, A., Sokolov, B., Ivanova, M.: Literature review on disruption recovery in the supply chain. Int. J. Prod. Res. 55(20), 6158–6174 (2017c)CrossRef

Ivanov, D., Sokolov, B., Kaeschel J.: A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations. Eur. J. Oper. Res. 200(2), 409–420 (2010)CrossRefMATH

Klibi, W., Martel, A.: Modeling approaches for the design of resilient supply networks under disruptions. Int. J. Prod. Econ. 135(2), 882–898 (2012)CrossRef

Liberatore, F., Scaparra, M.P., Daskin, M.S.: Hedging against disruptions with ripple effects in location analysis. Omega 40, 21–30 (2012)CrossRef

Lim, M., Daskin, M.S., Bassamboo, A., Chopra, S.: A facility reliability problem: formulation, properties and algorithm. Nav. Res. Logist. 57(1), 58–70 (2010)MathSciNetMATH

Paul, S.K., Sarker, R., Essam, D.: Real time disruption management for a two-stage batch production–inventory system with reliability considerations. Eur. J. Oper. Res. 237, 113–128 (2014)MathSciNetCrossRefMATH

Rezapour, S., Farahani, R., Pourakbar, M.: Resilient supply chain network design under competition: a case study. Eur. J. Oper. Res. 259(3), 1017–1035 (2017)MathSciNetCrossRef

Sawik, T.: Integrated selection of suppliers and scheduling of customer orders in the presence of supply chain disruption risks. Int. J. Prod. Res. 51(23–24), 7006–7022 (2013)CrossRef

Sawik, T.: A portfolio approach to supply chain disruption management. Int. J. Prod. Res. 55(7), 1970–1991 (2017)CrossRef

Scheibe, K.P., Blackhurst, J.: Supply chain disruption propagation: a systemic risk and normal accident theory perspective. Int. J. Prod. Res. (2017). https://doi.org/10.1080/00207543.2017.1355123

Schmitt, A.J., Singh, M.: A quantitative analysis of disruption risk in a multi-echelon supply chain. Int. J. Prod. Econ. 139(1), 23–32 (2012)CrossRef

Schmitt, T.G., Kumar, S., Stecke, K.E., Glover, F.W., Ehlen, M.A.: Mitigating disruptions in a multi-echelon supply chain using adaptive ordering. Omega 68, 185–198 (2017)CrossRef

Snyder, L.V., Zümbül, A., Peng, P., Ying, R., Schmitt, A.J., Sinsoysal, B.: OR/MS models for supply chain disruptions: a review. IIE Trans. 48(2), 89–109 (2016)CrossRef

Snyder, L.V., Daskin, M.S.: Reliability models for facility location: the expected failure cost case. Transp. Sci. 39, 400–416 (2005)CrossRef

Tang, C.S.: Perspectives in supply chain risk management. Int. J. Prod. Econ. 103, 451–488 (2006)CrossRef

Torabi, S.A., Baghersad, M., Mansouri, S.A.: Resilient supplier selection and order allocation under operational and disruption risks. Transp. Res. Part E Logist. Transp. Rev. 79, 22–48 (2015)CrossRef

Vahdani, B., Zandieh, M., Roshanaei, V.: A hybrid multi-stage predictive model for supply chain network collapse recovery analysis: a practical framework for effective supply chain network continuity management. Int. J. Prod. Res. 49(7), 2035–2060 (2011)CrossRef

Titel: Simulation Vs. Optimization Approaches to Ripple Effect Modelling in the Supply Chain
verfasst von: Dmitry Ivanov
Alexandre Dolgui
Marina Ivanova
Boris Sokolov
Verlag: Springer International Publishing
Buch: Dynamics in Logistics
Print ISBN: 978-3-319-74224-3

Electronic ISBN: 978-3-319-74225-0

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-74225-0_5

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