Reconfigurable supply chain: the X-network
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[1] Joseph Fiksel,et al. Designing resilient, sustainable systems. , 2003, Environmental science & technology.
[2] Weiwei Chen,et al. Supply chain flexibility and operations optimisation under demand uncertainty: a case in disaster relief , 2018, Int. J. Prod. Res..
[3] H.L. Lee,et al. Aligning Supply Chain Strategies with Product Uncertainties , 2002, IEEE Engineering Management Review.
[4] Y. Sheffi,et al. A supply chain view of the resilient enterprise , 2005 .
[5] O. Tang,et al. Identifying risk issues and research advancements in supply chain risk management , 2011 .
[6] Srinivas Talluri,et al. A Supply Risk Reduction Model Using Integrated Multicriteria Decision Making , 2008, IEEE Transactions on Engineering Management.
[7] H. Gurnani,et al. Managing Risk of Supply Disruptions: Incentives for Capacity Restoration , 2013 .
[8] Martin E P Seligman,et al. Building resilience. , 2011, Harvard business review.
[9] D. Battini,et al. Healthcare Supply Chain Simulation with Disruption Considerations: A Case Study from Northern Italy , 2019, Global Journal of Flexible Systems Management.
[10] Joseph Sarkis,et al. A tradeoff model for green supply chain planning:A leanness-versus-greenness analysis , 2015 .
[11] Ata Allah Taleizadeh,et al. Game theory applications in production research in the sharing and circular economy era , 2019, Int. J. Prod. Res..
[12] Dmitry Ivanov,et al. Dual sourcing under supply disruption with risk-averse suppliers in the sharing economy , 2019, Int. J. Prod. Res..
[13] Elise Miller-Hooks,et al. Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport , 2012, Transp. Sci..
[14] S. Rahman,et al. Leagile supply chain: design drivers and business performance implications , 2020, Int. J. Prod. Res..
[15] Rahul C. Basole,et al. Visual analytics for supply network management: System design and evaluation , 2016, Decis. Support Syst..
[16] Ruhul A. Sarker,et al. A mathematical modelling approach for managing sudden disturbances in a three-tier manufacturing supply chain , 2019, Ann. Oper. Res..
[17] Tsan-Ming Choi,et al. Innovative “Bring-Service-Near-Your-Home” operations under Corona-Virus (COVID-19/SARS-CoV-2) outbreak: Can logistics become the Messiah? , 2020, Transportation Research Part E: Logistics and Transportation Review.
[18] Kaitlin S. Dunn,et al. An Empirically Derived Framework of Global Supply Resiliency , 2011 .
[19] Andrew Thomas Potter,et al. The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain , 2016 .
[20] Kevin P. Scheibe,et al. Supply chain disruption propagation: a systemic risk and normal accident theory perspective , 2018, Int. J. Prod. Res..
[21] Alexandre Dolgui,et al. Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak , 2020, Int. J. Prod. Res..
[22] Kathryn E. Stecke,et al. Mitigating disruptions in a multi-echelon supply chain using adaptive ordering , 2017 .
[23] Manoj Kumar Tiwari,et al. Big data and predictive analytics applications in supply chain management , 2016, Comput. Ind. Eng..
[24] Igor Linkov,et al. Fundamental Concepts of Cyber Resilience: Introduction and Overview , 2018, Cyber Resilience of Systems and Networks.
[25] Myles D. Garvey,et al. An analytical framework for supply network risk propagation: A Bayesian network approach , 2015, Eur. J. Oper. Res..
[26] Fabio Sgarbossa,et al. Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics , 2020, Annals of Operations Research.
[27] Tobias Schoenherr,et al. A blockchain-based approach for a multi-echelon sustainable supply chain , 2020, Int. J. Prod. Res..
[28] Alexandre Dolgui,et al. Sustainable and Energy Efficient Reconfigurable Manufacturing Systems , 2019, Springer Series in Advanced Manufacturing.
[29] Armin Jabbarzadeh,et al. Resilient and sustainable supply chain design: sustainability analysis under disruption risks , 2018, Int. J. Prod. Res..
[30] Alexandre Dolgui,et al. A control approach to scheduling flexibly configurable jobs with dynamic structural-logical constraints , 2020, IISE Trans..
[31] Benoît Iung,et al. Challenges for the cyber-physical manufacturing enterprises of the future , 2019, Annu. Rev. Control..
[32] Eugene Levner,et al. Entropy-based model for the ripple effect: managing environmental risks in supply chains , 2018, Int. J. Prod. Res..
[33] Ram Narasimhan,et al. Retailer’s sourcing strategy under consumer stockpiling in anticipation of supply disruptions , 2018, Int. J. Prod. Res..
[34] Gopal Kumar,et al. Missing link between sustainability collaborative strategy and supply chain performance: Role of dynamic capability , 2018, International Journal of Production Economics.
[35] Joseph Fiksel,et al. The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience , 2019, Journal of Business Logistics.
[36] Ilaria Giannoccaro,et al. Rethinking Resilience in Industrial Symbiosis: Conceptualization and Measurements , 2017 .
[37] Manoj Kumar Tiwari,et al. Assessment of pre and post-disaster supply chain resilience based on network structural parameters with CVaR as a risk measure , 2020 .
[38] Yusoon Kim,et al. Supply network disruption and resilience: A network structural perspective , 2015 .
[39] William Ho,et al. Supply chain risk management: a literature review , 2015 .
[40] Alexandre Dolgui,et al. A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 , 2020, Production Planning & Control.
[41] Lucas P. Veelenturf,et al. The strategic role of logistics in the industry 4.0 era , 2019, Transportation Research Part E: Logistics and Transportation Review.
[42] Dmitry Ivanov,et al. Integrated dynamic scheduling of material flows and distributed information services in collaborative cyber-physical supply networks , 2014 .
[43] D. Wu,et al. Lateral inventory transshipment problem in online-to-offline supply chain , 2016 .
[44] Tadeusz Sawik,et al. On the risk-averse optimization of service level in a supply chain under disruption risks , 2016 .
[45] Daria Battini,et al. Big size highly customised product manufacturing systems: a literature review and future research agenda , 2019, Int. J. Prod. Res..
[46] Felix Reed-Tsochas,et al. Revisiting the complex adaptive systems paradigm: Leading perspectives for researching operations and supply chain management issues , 2019, Journal of Operations Management.
[47] Dmitry A. Ivanov,et al. Disruption tails and revival policies: A simulation analysis of supply chain design and production-ordering systems in the recovery and post-disruption periods , 2019, Comput. Ind. Eng..
[48] Boris V. Sokolov,et al. Structure dynamics control-based framework for adaptive reconfiguration of collaborative enterprise networks , 2009, Int. J. Manuf. Technol. Manag..
[49] A. Gunasekaran,et al. Supply chain agility, adaptability and alignment: empirical evidence from the Indian auto components industry , 2018 .
[50] Tadeusz Sawik,et al. Two-period vs. multi-period model for supply chain disruption management , 2018, Int. J. Prod. Res..
[51] Zhiqin Qian,et al. A Novel Resilient Robot: Kinematic Analysis and Experimentation , 2020, IEEE Access.
[52] Yves Ducq,et al. Distribution planning for multi-echelon networks considering multiple sourcing and lateral transshipments , 2020 .
[53] W. J. Zhang,et al. The general architecture of adaptive robotic systems for manufacturing applications , 2010 .
[54] Enzo Morosini Frazzon,et al. A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing , 2019, Int. J. Inf. Manag..
[55] Joseph Sarkis,et al. Decision support for collaboration planning in sustainable supply chains , 2019, Journal of Cleaner Production.
[56] Long Gao,et al. Dynamic Supply Risk Management with Signal-Based Forecast, Multi-Sourcing, and Discretionary Selling , 2015 .
[57] E. Zavadskas,et al. Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy , 2019, Int. J. Prod. Res..
[58] Alexandre Dolgui,et al. The Ripple effect in supply chains: trade-off ‘efficiency-flexibility-resilience’ in disruption management , 2014 .
[59] Alexandre Dolgui,et al. Integrated detection of disruption scenarios, the ripple effect dispersal and recovery paths in supply chains , 2019, Ann. Oper. Res..
[60] Steven A. Melnyk,et al. Understanding supply chain resilience , 2014 .
[61] Ivanov,et al. Handbook of Ripple Effects in the Supply Chain , 2019, International Series in Operations Research & Management Science.
[62] Z. Shen,et al. Product substitution and dual sourcing under random supply failures , 2011 .
[63] D. Towill,et al. Supply chain migration from lean and functional to agile and customised , 2000 .
[64] Alexandre Dolgui,et al. Ripple effect quantification by supplier risk exposure assessment , 2019, Int. J. Prod. Res..
[65] Elliot Bendoly,et al. Behavioral Operations and Supply Chain Management-A Review and Literature Mapping , 2019, Decis. Sci..
[66] Dmitry Ivanov,et al. Exact and heuristic methods for integrated supply chain design reliability analysis , 2016 .
[67] Boris V. Sokolov,et al. Optimal distribution (re)planning in a centralized multi-stage supply network under conditions of the ripple effect and structure dynamics , 2014, Eur. J. Oper. Res..
[68] Tsan-Ming Choi,et al. Big Data Analytics in Operations Management , 2018 .
[69] Simona Daniela Grigore. Supply chain flexibility , 2007 .
[70] Sachchidanand Singh,et al. Big Data analytics , 2012 .
[71] Alexandre Dolgui,et al. Literature review on disruption recovery in the supply chain* , 2017, Int. J. Prod. Res..
[72] Dmitry Ivanov,et al. Integrated analysis of supply chain structure design and adaptation potential in an agile environment , 2011 .
[73] M. Henke,et al. A Simulation-Based Evaluation Approachfor Digitalization Scenarios in Smart SupplyChain Risk Management , 2017 .
[74] Atefeh Amindoust,et al. A resilient-sustainable based supplier selection model using a hybrid intelligent method , 2018, Comput. Ind. Eng..
[75] Nees Jan van Eck,et al. How to normalize cooccurrence data? An analysis of some well-known similarity measures , 2009, J. Assoc. Inf. Sci. Technol..
[76] Stephan M. Wagner,et al. Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions , 2015 .
[77] S. Fawcett,et al. Data Science, Predictive Analytics, and Big Data: A Revolution that Will Transform Supply Chain Design and Management , 2013 .
[78] Tadeusz Sawik,et al. Selection of supply portfolio under disruption risks , 2011 .
[79] Angappa Gunasekaran,et al. The design of a responsive sustainable supply chain network under uncertainty , 2015 .
[80] Hakan Yildiz,et al. Risk Management Strategies in Transportation Capacity Decisions: An Analytical Approach , 2016 .
[81] Yang Cheng,et al. Additive manufacturing technology in spare parts supply chain: a comparative study , 2017, Int. J. Prod. Res..
[82] Alexandre Dolgui,et al. Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility , 2019, Handbook of Ripple Effects in the Supply Chain.
[83] Alexandre Dolgui,et al. The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics , 2018, Int. J. Prod. Res..
[84] Shahriar Akter,et al. How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study , 2015 .
[85] G. Antoniou,et al. Supply chain risk management and artificial intelligence: state of the art and future research directions , 2018, Int. J. Prod. Res..
[86] Chelsea C. White,et al. A dynamic mobile production capacity and inventory control problem , 2020, IISE Trans..
[87] Fernando Deschamps,et al. Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal , 2017, Int. J. Prod. Res..
[88] Scheduling in Industry 4.0 and Cloud Manufacturing , 2020, International Series in Operations Research and Management Science.
[89] Emel Arikan,et al. Risk pooling via unidirectional inventory transshipments in a decentralized supply chain , 2018, Int. J. Prod. Res..
[90] Yanfeng Ouyang,et al. Joint Inventory-Location Problem Under Risk of Probabilistic Facility Disruptions , 2011 .
[91] Elkafi Hassini,et al. Evolution of supply chain ripple effect: a bibliometric and meta-analytic view of the constructs , 2019, Int. J. Prod. Res..
[92] Zhe Yin,et al. Strategic cooperation with a backup supplier for the mitigation of supply disruptions , 2018, Int. J. Prod. Res..
[93] M. Christopher,et al. Building the Resilient Supply Chain , 2004 .
[94] Angappa Gunasekaran,et al. Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience , 2019, Int. J. Prod. Res..
[95] Virgilio Cruz-Machado,et al. Agile and resilient approaches to supply chain management: influence on performance and competitiveness , 2012, Logist. Res..
[96] A. Gunasekaran,et al. The role of Big Data in explaining disaster resilience in supply chains for sustainability , 2017 .
[97] José M. Vidal,et al. Supply network topology and robustness against disruptions – an investigation using multi-agent model , 2011 .
[98] Tadeusz Sawik,et al. A portfolio approach to supply chain disruption management , 2017, Int. J. Prod. Res..
[99] Tsan-Ming Choi,et al. Advances in Risk Analysis with Big Data , 2017, Risk analysis : an official publication of the Society for Risk Analysis.
[100] José Barata,et al. SOA in reconfigurable supply chains: A research roadmap , 2009, Eng. Appl. Artif. Intell..
[101] Maggie Chuoyan Dong,et al. Opportunism in Distribution Networks: The Role of Network Embeddedness and Dependence , 2015 .
[102] Yanfeng Ouyang,et al. Reliable Facility Location Design Under the Risk of Disruptions , 2010, Oper. Res..
[103] Hakan Yildiz,et al. Reliable Supply Chain Network Design , 2016, Decis. Sci..
[104] Boris Sokolov,et al. Minimization of disruption-related return flows in the supply chain , 2017 .
[105] Samuel Fosso Wamba,et al. Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA , 2019, Int. J. Inf. Manag..
[106] Ruhul A. Sarker,et al. Real time disruption management for a two-stage batch production-inventory system with reliability considerations , 2014, Eur. J. Oper. Res..
[107] Alexandre Dolgui,et al. Ripple effect in the supply chain: an analysis and recent literature , 2018, Int. J. Prod. Res..
[108] Nickolas K. Freeman,et al. Robust Sourcing from Suppliers under Ambiguously Correlated Major Disruption Risks , 2018, Production and Operations Management.
[109] Manoj Kumar Tiwari,et al. Bayesian network modelling for supply chain risk propagation , 2018, Int. J. Prod. Res..
[110] Constantin Blome,et al. The performance impact of supply chain agility and supply chain adaptability: the moderating effect of product complexity , 2015 .
[111] Shams Rahman,et al. A quantitative and simulation model for managing sudden supply delay with fuzzy demand and safety stock , 2018, Int. J. Prod. Res..
[112] Ismail Gölgeci,et al. Where is supply chain resilience research heading? A systematic and co-occurrence analysis , 2019, International Journal of Physical Distribution & Logistics Management.
[113] Rahul C. Basole,et al. Assimilation of tracking technology in the supply chain , 2016, Transportation Research Part E: Logistics and Transportation Review.
[114] Hing Kai Chan,et al. Recent Development in Big Data Analytics for Business Operations and Risk Management , 2017, IEEE Transactions on Cybernetics.
[115] Germaine H. Saad,et al. Managing Disruption Risks in Supply Chains , 2005 .
[116] Shimon Y. Nof,et al. Collaborative response to disruption propagation (CRDP) in cyber-physical systems and complex networks , 2019, Decis. Support Syst..
[117] Boris V. Sokolov,et al. A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations , 2010, Eur. J. Oper. Res..
[118] Jan Olhager,et al. Strategic positioning of the order penetration point , 2003 .
[119] Marcus Brandenburg,et al. Sustainable supply chain management: a modeling perspective , 2015, Annals of Operations Research.
[120] Yuhong Li,et al. Network characteristics and supply chain resilience under conditions of risk propagation , 2020 .
[121] Dmitry Ivanov. Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic , 2020, Annals of operations research.
[122] Dmitry Ivanov,et al. The inter‐disciplinary modelling of supply chains in the context of collaborative multi‐structural cyber‐physical networks , 2012 .
[123] Susana Relvas,et al. Alexandre Dolgui and Jean-Marie Proth, Supply Chain Engineering - Useful Methods and Techniques , Springer-Verlag (2010) 541 pp., ISBN: 978-1-84996-016-8 , 2010, Eur. J. Oper. Res..
[124] Ray Y. Zhong,et al. Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors , 2017, Int. J. Prod. Res..
[125] Alexandre Dolgui,et al. Scheduling of recovery actions in the supply chain with resilience analysis considerations , 2018, Int. J. Prod. Res..
[126] Dmitry Ivanov,et al. A real-option approach to mitigate disruption risk in the supply chain , 2019, Omega.
[127] Alexandre Dolgui,et al. A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0 , 2016 .
[128] Ralf W. Seifert,et al. Roles of inventory and reserve capacity in mitigating supply chain disruption risk , 2018, Int. J. Prod. Res..
[129] S. Ali Torabi,et al. Supply chain performance measurement and evaluation: A mixed sustainability and resilience approach , 2018, Comput. Ind. Eng..
[130] Stefan Seuring,et al. A review of modeling approaches for sustainable supply chain management , 2013, Decis. Support Syst..
[131] Ralf W. Seifert,et al. Building up Resilience in a Pharmaceutical Supply Chain through Inventory, Dual Sourcing and Agility Capacity , 2017 .
[132] Jennifer Blackhurst,et al. Modelling Supply Chain Adaptation for Disruptions: An Empirically Grounded Complex Adaptive Systems Approach , 2018, Journal of Operations Management.
[133] M. Henke,et al. A Simulation-Based Evaluation Approach for Digitalization Scenarios in Smart Supply Chain Risk Management , 2017 .
[134] S. Chopra,et al. Reducing the Risk of Supply Chain Disruptions , 2014 .
[135] Danny Berry,et al. Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain , 1999 .
[136] Zhimin Xi,et al. A Unified Framework for Evaluating Supply Chain Reliability and Resilience , 2017, IEEE Transactions on Reliability.
[137] J. Proth,et al. Supply Chain Engineering : Useful Methods and Techniques , 2009 .
[138] Ashutosh Tiwari,et al. Supply Networks as Complex Systems: A Network-Science-Based Characterization , 2017, IEEE Systems Journal.
[139] Dmitry Ivanov,et al. Resilient supplier selection and optimal order allocation under disruption risks , 2019, International Journal of Production Economics.
[140] Armin Jabbarzadeh,et al. Greening versus resilience: A supply chain design perspective , 2018, Transportation Research Part E: Logistics and Transportation Review.
[141] Dmitry Ivanov,et al. Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics , 2019, Annals of Operations Research.
[142] Mohamed Mohamed Naim,et al. A control engineering approach to the assessment of supply chain resilience , 2012 .
[143] M. O'Sullivan,et al. Allocation flexibility for agribusiness supply chains under market demand disruption , 2018, Int. J. Prod. Res..
[144] D. Ivanov. Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case , 2020, Transportation Research Part E: Logistics and Transportation Review.
[145] S. Nudurupati,et al. Predicting performance – a dynamic capability view , 2018, International Journal of Operations & Production Management.
[146] R. Narasimhan,et al. Supplier integration—Finding an optimal configuration , 2006 .
[147] Christopher S. Tang. Perspectives in supply chain risk management , 2006 .
[148] Scott J. Grawe,et al. Firm's resilience to supply chain disruptions: Scale development and empirical examination , 2015 .
[149] F. Jovane,et al. Reconfigurable Manufacturing Systems , 1999 .
[150] Brian Tomlin,et al. On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks , 2006, Manag. Sci..
[151] Dmitry Ivanov,et al. A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach , 2019, Ann. Oper. Res..
[152] A. Kusiak. Smart manufacturing , 2018, Int. J. Prod. Res..
[153] Wenjun Chris Zhang,et al. Design theory and methodology for enterprise systems , 2016, Enterp. Inf. Syst..
[154] Christopher S. Tang,et al. Managing Supply Chain Risk , 2012 .
[155] Kamil J. Mizgier,et al. Multiobjective capital allocation for supplier development under risk , 2017, Int. J. Prod. Res..
[156] Amanda J. Schmitt,et al. OR/MS models for supply chain disruptions: a review , 2014 .
[157] Angappa Gunasekaran,et al. Agile manufacturing practices: the role of big data and business analytics with multiple case studies , 2018, Int. J. Prod. Res..
[158] Paras Agarwal,et al. Bi-objective Optimization of a Reconfigurable Supply Chain Using a Self-organizing Migration Algorithm , 2019, Advances in Intelligent Systems and Computing.
[159] Steven A. Melnyk,et al. Supply chain risk and resilience: theory building through structured experiments and simulation , 2018, Int. J. Prod. Res..
[160] Angappa Gunasekaran,et al. Antecedents of Resilient Supply Chains: An Empirical Study , 2019, IEEE Transactions on Engineering Management.
[161] William Ho,et al. Models for supplier selection and risk mitigation: a holistic approach , 2018, Int. J. Prod. Res..
[162] R. Handfield,et al. An empirically derived agenda of critical research issues for managing supply-chain disruptions , 2005 .
[163] Albert-László Barabási,et al. Universal resilience patterns in complex networks , 2016, Nature.
[164] Dmitry Ivanov,et al. Simultaneous structural–operational control of supply chain dynamics and resilience , 2019, Ann. Oper. Res..
[165] Tadeusz Sawik,et al. Integrated selection of suppliers and scheduling of customer orders in the presence of supply chain disruption risks , 2013 .
[166] Alexandre Dolgui,et al. Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience , 2018, Int. J. Prod. Res..
[167] Dmitry Ivanov,et al. ‘A blessing in disguise’ or ‘as if it wasn’t hard enough already’: reciprocal and aggravate vulnerabilities in the supply chain , 2020, Int. J. Prod. Res..
[168] Chad W. Autry,et al. A contingent resource-based perspective of supply chain resilience and robustness , 2014 .
[169] Shahriar Akter,et al. Guest editorial: transforming operations and production management using big data and business analytics: future research directions , 2017 .
[170] Alexandre Dolgui,et al. Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain† , 2019, Int. J. Prod. Res..
[171] Sebastián Lozano,et al. Assessing supply chain robustness to links failure , 2018, Int. J. Prod. Res..
[172] Alexandre Dolgui,et al. Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain , 2019, Int. J. Prod. Res..
[173] J. Sarkis,et al. Evaluating ecological sustainable performance measures for supply chain management , 2012 .
[174] D. Ivanov. Structural Dynamics and Resilience in Supply Chain Risk Management , 2017 .
[175] John Yen,et al. Analyzing the Resilience of Complex Supply Network Topologies Against Random and Targeted Disruptions , 2011, IEEE Systems Journal.
[176] Angappa Gunasekaran,et al. Agility and resilience as antecedents of supply chain performance under moderating effects of organizational culture within the humanitarian setting: a dynamic capability view , 2018, Production Planning & Control.
[177] A. Galip Ulsoy,et al. Trends and perspectives in flexible and reconfigurable manufacturing systems , 2002, J. Intell. Manuf..
[178] Alexandre Dolgui,et al. Hybrid Fuzzy-Probabilistic Approach to Supply Chain Resilience Assessment , 2018, IEEE Transactions on Engineering Management.
[179] Shimon Y. Nof,et al. Collaborative service-component integration in cloud manufacturing , 2018, Int. J. Prod. Res..
[180] Yingzi Lin,et al. Integrated design and operation management for enterprise systems , 2019, Enterp. Inf. Syst..
[181] D. Ivanov,et al. Competitive pricing of substitute products under supply disruption☆☆☆ , 2020, Omega.
[182] Wenjun Chris Zhang,et al. On the principle of design of resilient systems – application to enterprise information systems , 2010, Enterp. Inf. Syst..
[183] Tsan-Ming Choi,et al. Optimal Bi-Objective Redundancy Allocation for Systems Reliability and Risk Management , 2016, IEEE Transactions on Cybernetics.
[184] Christoph H. Glock,et al. Methods for mitigating disruptions in complex supply chain structures: a systematic literature review , 2020, Int. J. Prod. Res..
[185] Dimitris Mourtzis,et al. A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance , 2018 .
[186] A. Rao,et al. The impact of supply chain disruption on the closed-loop supply chain configuration profit: a study of sourcing policies , 2020, Int. J. Prod. Res..
[187] Liang Tang,et al. Complex interdependent supply chain networks: Cascading failure and robustness , 2016 .
[188] Dmitry Ivanov,et al. Simulation-based single vs. dual sourcing analysis in the supply chain with consideration of capacity disruptions, big data and demand patterns , 2017 .
[189] Charbel José Chiappetta Jabbour,et al. Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations , 2018, Annals of Operations Research.
[190] Mohd. Nishat Faisal,et al. Sustainable supply chains: a study of interaction among the enablers , 2010, Bus. Process. Manag. J..
[191] Rahul C. Basole,et al. Supply Network Structure, Visibility, and Risk Diffusion: A Computational Approach , 2014, Decis. Sci..
[192] Rodrigo Reyes Levalle,et al. Resilience in supply networks: Definition, dimensions, and levels , 2017, Annu. Rev. Control..
[193] Pedro P. P. Santos,et al. Simulation-based analysis of catalyzers and trade-offs in Lean & Green manufacturing , 2020 .
[194] Wentong Cai,et al. A graph-based model to measure structural redundancy for supply chain resilience , 2019, Int. J. Prod. Res..
[195] Robyn Arabe. The ripple effect. , 2011, Imprint.
[196] Hamideh Afsarmanesh,et al. Collaborative networks: a new scientific discipline , 2005, J. Intell. Manuf..
[197] Rajeev Sawhney,et al. Interplay between uncertainty and flexibility across the value-chain: Towards a transformation model of manufacturing flexibility , 2006 .
[198] Thomas Y. Choi,et al. Supply networks and complex adaptive systems: Control versus emergence , 2001 .
[199] Stanley E. Griffis,et al. MODELING LEAN, AGILE, AND LEAGILE SUPPLY CHAIN STRATEGIES , 2006 .
[200] Alexandre Dolgui,et al. Supply Chain Engineering , 2010 .
[201] D. Samson,et al. DEVELOPING INNOVATION CAPABILITY IN ORGANISATIONS: A DYNAMIC CAPABILITIES APPROACH , 2001 .
[202] Nigel Caldwell,et al. Managing cyber risk in supply chains: a review and research agenda , 2019, Supply Chain Management: An International Journal.
[203] Jinliang Ding,et al. Toward a Resilient Holistic Supply Chain Network System: Concept, Review and Future Direction , 2016, IEEE Systems Journal.
[204] Ludo Waltman,et al. How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures , 2009, J. Assoc. Inf. Sci. Technol..
[205] M J Knutson,et al. THE PAST, PRESENT, AND FUTURE OF AN INDUSTRY , 1997 .
[206] D. Ivanov. Revealing interfaces of supply chain resilience and sustainability: a simulation study , 2018, Int. J. Prod. Res..
[207] Lucas Santos Dalenogare,et al. Industry 4.0 technologies: Implementation patterns in manufacturing companies , 2019, International Journal of Production Economics.
[208] Mohamed M. Naim,et al. Investigating sustained oscillations in nonlinear production and inventory control models , 2017, Eur. J. Oper. Res..
[209] M. Ben-Daya,et al. Internet of things and supply chain management: a literature review , 2019, Int. J. Prod. Res..
[210] Armin Jabbarzadeh,et al. Marrying supply chain sustainability and resilience: A match made in heaven , 2016 .
[211] Florian Schluter,et al. A Simulation Based Evaluation Approach for Supply Chain Risk Management Digitalization Scenarios , 2017, 2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA).
[212] D. Rogers,et al. A framework of sustainable supply chain management: moving toward new theory , 2008 .
[213] Boris V. Sokolov,et al. Intelligent Supply Chain Planning in Virtual Enterprises , 2004, Virtual Enterprises and Collaborative Networks.
[214] Phuc Nguyen. Collaborative Response to Disruption Propagation (CRDP) , 2020 .
[215] Mark Stevenson,et al. Supply chain resilience: definition, review and theoretical foundations for further study , 2015 .
[216] Nan Li,et al. Management of sustainable manufacturing systems-a review on mathematical problems , 2017, Int. J. Prod. Res..
[217] D. Ivanov,et al. Global Supply Chain and Operations Management , 2021, Springer Texts in Business and Economics.
[218] Ajay Das,et al. New flexibility drivers for manufacturing, supply chain and service operations , 2018, Int. J. Prod. Res..
[219] T. Papadopoulos,et al. Supply chain sustainability: A risk management approach , 2016 .
[220] Dmitry Ivanov,et al. 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 , 2017, Annals of Operations Research.
[221] Alexandre Dolgui,et al. Review of quantitative methods for supply chain resilience analysis , 2019, Transportation Research Part E: Logistics and Transportation Review.
[222] Hau L. Lee. The triple-A supply chain. , 2004, Harvard business review.
[223] Reconfigurable Supply Chain management: A key to enhance competitiveness of the South African Press Tool industry , 2013, 2013 6th Robotics and Mechatronics Conference (RobMech).
[224] Jan Fransoo,et al. A stochastic program to evaluate disruption mitigation investments in the supply chain , 2019, Eur. J. Oper. Res..
[225] Thilo Gross,et al. Identifying dynamical instabilities in supply networks using generalized modeling , 2019, Journal of Operations Management.
[226] R. K. Pati,et al. Evolution of sustainability in supply chain management: A literature review , 2017 .