Sources of Uncertainty and Risk Quantification Methods in Supply Chain Management: A Literature Study
暂无分享,去创建一个
[1] Thomas Y. Choi,et al. The supply chain financing ecosystem: Early responses during the COVID-19 crisis , 2023, Journal of Purchasing and Supply Management.
[2] Guanying Wang,et al. Exchange options for catastrophe risk management , 2021, The North American Journal of Economics and Finance.
[3] D. Ivanov,et al. OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications , 2020, International Journal of Production Economics.
[4] Amalesh Sharma,et al. Responses to COVID-19: The role of governance, healthcare infrastructure, and learning from past pandemics , 2020, Journal of Business Research.
[5] Andrew Matthews,et al. COVID-19: The need for an Australian economic pandemic response plan , 2020, Health Policy and Technology.
[6] C. Tisdell. Economic, social and political issues raised by the COVID-19 pandemic , 2020, Economic Analysis and Policy.
[7] Konstantinos Nikolopoulos,et al. Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions , 2020, European Journal of Operational Research.
[8] S. Silal,et al. Operational research: A multidisciplinary approach for the management of infectious disease in a global context , 2020, European Journal of Operational Research.
[9] Samuli Laato,et al. Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach , 2020, Journal of Retailing and Consumer Services.
[10] R. Kabir,et al. Panic buying: An insight from the content analysis of media reports during COVID-19 pandemic , 2020, Neurology, Psychiatry and Brain Research.
[11] R. Cardigan,et al. Effects of the COVID-19 pandemic on supply and use of blood for transfusion , 2020, The Lancet Haematology.
[12] Anders Gustafsson,et al. Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach , 2020, Journal of Business Research.
[13] David de Paulo Farias,et al. Will COVID-19 affect food supply in distribution centers of Brazilian regions affected by the pandemic? , 2020, Trends in Food Science & Technology.
[14] Charis M. Galanakis,et al. Safety of foods, food supply chain and environment within the COVID-19 pandemic , 2020, Trends in Food Science & Technology.
[15] Amalesh Sharma,et al. Covid-19′s impact on supply chain decisions: Strategic insights from NASDAQ 100 firms using Twitter data , 2020, Journal of Business Research.
[16] Marianna Sigala,et al. Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research , 2020, Journal of Business Research.
[17] A. Gustafsson,et al. Effects of COVID-19 on business and research , 2020, Journal of Business Research.
[18] J. Sheth. Impact of Covid-19 on consumer behavior: Will the old habits return or die? , 2020, Journal of Business Research.
[19] Joey F. George,et al. Collaboration in demand-driven supply chain: Based on a perspective of governance and IT-business strategic alignment , 2020, Int. J. Inf. Manag..
[20] Junsong Bian,et al. Tax or subsidy? An analysis of environmental policies in supply chains with retail competition , 2020, Eur. J. Oper. Res..
[21] M. Funke,et al. The People’s bank of China’s response to the coronavirus pandemic: A quantitative assessment , 2020, Economic Modelling.
[22] Nebojsa S. Davcik,et al. Managing uncertainty during a global pandemic: An international business perspective , 2020, Journal of Business Research.
[23] Andreas Eggert,et al. Industrial buying during the coronavirus pandemic: A cross-cultural study , 2020, Industrial Marketing Management.
[24] K. Govindan,et al. A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19) , 2020, Transportation Research Part E: Logistics and Transportation Review.
[25] Tsan-Ming Choi,et al. Data Analytics for Operational Risk Management , 2020, Decis. Sci..
[26] J. Hobbs. Food supply chains during the COVID‐19 pandemic , 2020, Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie.
[27] Miguel Faria-e-Castro,et al. Measuring Sectoral Supply and Demand Shocks During COVID-19 , 2020 .
[28] Maurie J. Cohen,et al. A brave new world: Lessons from the COVID-19 pandemic for transitioning to sustainable supply and production , 2020, Resources, Conservation and Recycling.
[29] J. Laffey,et al. Challenges and solutions for addressing critical shortage of supply chain for personal and protective equipment (PPE) arising from Coronavirus disease (COVID19) pandemic – Case study from the Republic of Ireland , 2020, Science of The Total Environment.
[30] Reza Tavakkoli-Moghaddam,et al. Achieving sustainable development of supply chain by incorporating various carbon regulatory mechanisms , 2020, Transportation Research Part D: Transport and Environment.
[31] 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.
[32] Benjamin Melamed,et al. Stopping Covid-19: A pandemic-management service value chain approach , 2020, Annals of Operations Research.
[33] C. Fuest,et al. Wirtschaftliche Implikationen der Corona-Krise und wirtschaftspolitische Maßnahmen , 2020, Wirtschaftsdienst.
[34] Kostas S. Metaxiotis,et al. Incorporating environmental and social considerations into the portfolio optimization process , 2020, Ann. Oper. Res..
[35] James Aitken,et al. The role of intermediaries in establishing a sustainable supply chain , 2020 .
[36] Zili Guan,et al. Demand information sharing in competing supply chains with manufacturer-provided service , 2020 .
[37] Changchun Liu,et al. Value of information sharing in a multiple producers–distributor supply chain , 2020, Ann. Oper. Res..
[38] Mark Goh,et al. Pricing and equity in cross-regional green supply chains , 2020, Eur. J. Oper. Res..
[39] Cristina Quintana-Garcia,et al. Does a green supply chain improve corporate reputation? Empirical evidence from European manufacturing sectors , 2020 .
[40] Yeu-Shiang Huang,et al. Inventory management in supply chains with consideration of Logistics, green investment and different carbon emissions policies , 2020, Comput. Ind. Eng..
[41] Yubing Shi. China , 2019, Asia-Pacific Journal of Ocean Law and Policy.
[42] Wei-Shiun Chang,et al. The effect of lead-time on supply chain resilience performance , 2019 .
[43] Tatyana Chernonog,et al. The effect of information superiority on a supply chain of virtual products , 2019, International Journal of Production Economics.
[44] Fabíola Negreiros de Oliveira,et al. Environmental risk management in supply chains: A taxonomy, a framework and future research avenues , 2019, Journal of Cleaner Production.
[45] Ruhul A. Sarker,et al. A mathematical modelling approach for managing sudden disturbances in a three-tier manufacturing supply chain , 2019, Ann. Oper. Res..
[46] Xi Chen,et al. On the effectiveness of emission penalties in decentralized supply chains , 2019, Eur. J. Oper. Res..
[47] C. Jabbour,et al. Past, present, and future low carbon supply chain management: A content review using social network analysis , 2019, Journal of Cleaner Production.
[48] Behnam Fahimnia,et al. The human factor in supply chain forecasting: A systematic review , 2019, Eur. J. Oper. Res..
[49] Atour Taghipour,et al. Downstream Demand Inference in decentralized supply chains , 2019, Eur. J. Oper. Res..
[50] Prashant Yadav,et al. Improving Supply Chain for Essential Drugs in Low-Income Countries: Results from a Large Scale Randomized Experiment in Zambia , 2019, Health systems and reform.
[51] Babak Abbasi,et al. Supply chain network redesign with demand and price uncertainty , 2018, International Journal of Production Economics.
[52] Konstantinos Liagkouras,et al. Handling the complexities of the multi-constrained portfolio optimization problem with the support of a novel MOEA , 2018, J. Oper. Res. Soc..
[53] Rainer Lasch,et al. Effectiveness of responsive pricing in the face of supply chain disruptions , 2018, Comput. Ind. Eng..
[54] Angappa Gunasekaran,et al. Big data analytics in operations and supply chain management , 2018, Ann. Oper. Res..
[55] B. Ritchie,et al. ‘No Ebola…still doomed’ – The Ebola-induced tourism crisis , 2018, Annals of Tourism Research.
[56] G. Oggioni,et al. Evaluating the effects of environmental regulations on a closed-loop supply chain network: a variational inequality approach , 2017, Annals of Operations Research.
[57] Alain Martel,et al. Prepositioning emergency supplies to support disaster relief: a case study using stochastic programming , 2018, INFOR Inf. Syst. Oper. Res..
[58] Lu Liu,et al. The risk management of perishable supply chain based on coloured Petri Net modeling , 2017 .
[59] Xiaodong Yang,et al. Designing structured supply contracts under demand and price uncertainty in an open supply chain , 2017, Ann. Oper. Res..
[60] Chengliang Liu,et al. Enterprises' compliance with government carbon reduction labelling policy using a system dynamics approach , 2017 .
[61] Xiang Li,et al. Innovative supply chain optimization models with multiple uncertainty factors , 2017, Ann. Oper. Res..
[62] Jun Zhuang,et al. Modeling a Government-Manufacturer-Farmer game for food supply chain risk management , 2017 .
[63] Katsumi Morikawa,et al. Reprint "Efficient flexible long-term capacity planning for optimal sustainability dimensions performance of reverse logistics social responsibility: A system dynamics approach" , 2017 .
[64] Haifeng Guo,et al. Model predictive control algorithm of closed-loop supply chain networks dynamic system and its bullwhip effect , 2017, 2017 36th Chinese Control Conference (CCC).
[65] M. J. Iqbal,et al. Medicines Management in Hospitals: A Supply Chain Perspective , 2017 .
[66] Ali Mostafaeipour,et al. Implementing fuzzy rank function model for a new supply chain risk management , 2017, The Journal of Supercomputing.
[67] HyungSeok Kim,et al. Simulation-based evolutionary algorithm approach for deriving the operational planning of global supply chains from the systematic risk management , 2016, Comput. Ind..
[68] Ahmet Satir,et al. Impact of lead time variability in supply chain risk management , 2016 .
[69] Katsumi Morikawa,et al. The impact of capacity planning on product lifecycle for performance on sustainability dimensions in Reverse Logistics Social Responsibility , 2016 .
[70] Ali Azadeh,et al. Biodiesel supply chain optimization via a hybrid system dynamics-mathematical programming approach. , 2016 .
[71] Chaoyu Li,et al. A system dynamics simulation model of chemical supply chain transportation risk management systems , 2016, Comput. Chem. Eng..
[72] Jomon Aliyas Paul,et al. Location and capacity allocations decisions to mitigate the impacts of unexpected disasters , 2016, Eur. J. Oper. Res..
[73] Xi-gang Yuan,et al. The System Dynamics Model in Electronic Products Closed-Loop Supply Chain Distribution Network with Three-Way Recovery and the Old-for-New Policy , 2016 .
[74] R. Tavakkoli-Moghaddam,et al. Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty , 2016 .
[75] Tsan-Ming Choi,et al. Supply chain risk analysis with mean-variance models: a technical review , 2016, Ann. Oper. Res..
[76] F. You,et al. A computationally efficient simulation-based optimization method with region-wise surrogate modeling for stochastic inventory management of supply chains with general network structures , 2016, Comput. Chem. Eng..
[77] X. Yuan,et al. The Government’s Environment Policy Index Impact on Recycler Behavior in Electronic Products Closed-Loop Supply Chain , 2016 .
[78] Jan Fabian Ehmke,et al. Data-driven approaches for emissions-minimized paths in urban areas , 2016, Comput. Oper. Res..
[79] Marianthi G. Ierapetritou,et al. Flexibility assessment and risk management in supply chains , 2015 .
[80] Stephen M. Disney,et al. The impact of information sharing, random yield, correlation, and lead times in closed loop supply chains , 2015, Eur. J. Oper. Res..
[81] Yong Liu. Dynamic study on the influencing factors of industrial firm's carbon footprint , 2015 .
[82] Ralf W. Seifert,et al. Carbon footprint and responsiveness trade-offs in supply chain network design , 2015 .
[83] T. Comes,et al. A critical review on supply chain risk – Definition, measure and modeling ☆ , 2015 .
[84] Vivian W. Y Tam,et al. Identifying best design strategies for construction waste minimization , 2015 .
[85] Chen-Fu Chien,et al. A back-propagation neural network with a distributed lag model for semiconductor vendor-managed inventory , 2015 .
[86] Francisco J. Pino,et al. A stochastic programming approach for floods emergency logistics , 2015 .
[87] Przemyslaw Ignaciuk,et al. Discrete-Time Control of Production-Inventory Systems With Deteriorating Stock and Unreliable Supplies , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[88] Sukjae Jeong,et al. System dynamics approach for the impacts of FINEX technology and carbon taxes on steel demand: Case study of the POSCO , 2015 .
[89] Mark Goh,et al. Proximal Point Algorithms for Convex Multi-criteria Optimization with Applications to Supply Chain Risk Management , 2014, J. Optim. Theory Appl..
[90] Chase Rainwater,et al. Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application , 2014 .
[91] Tadeusz Sawik,et al. Optimization of cost and service level in the presence of supply chain disruption risks: Single vs. multiple sourcing , 2014, Comput. Oper. Res..
[92] Jin Wang,et al. Analyzing the impact of intermodal-related risk to the design and management of biofuel supply chain , 2014 .
[93] Kannan Govindan,et al. Reverse logistics network design and planning utilizing conditional value at risk , 2014, Eur. J. Oper. Res..
[94] Theodore P. Stank,et al. Supply Chain Risk Management Approaches Under Different Conditions of Risk , 2014 .
[95] 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..
[96] Elina Dace,et al. System dynamics model for analyzing effects of eco-design policy on packaging waste management system , 2014 .
[97] Jan A. Van Mieghem,et al. Clickstream Data and Inventory Management: Model and Empirical Analysis , 2014 .
[98] Hong Chen,et al. Post-seismic supply chain risk management: A system dynamics disruption analysis approach for inventory and logistics planning , 2014, Comput. Oper. Res..
[99] Rajeev Jain,et al. Using data mining synergies for evaluating criteria at pre-qualification stage of supplier selection , 2014, J. Intell. Manuf..
[100] Pankaj Dutta,et al. A system dynamics framework for integrated reverse supply chain with three way recovery and product exchange policy , 2013, Comput. Ind. Eng..
[101] Tadeusz Sawik,et al. Integrated selection of suppliers and scheduling of customer orders in the presence of supply chain disruption risks , 2013 .
[102] Fuzhan Nasiri,et al. Revenue sharing coordination in reverse logistics , 2013 .
[103] N. Shah,et al. A risk management approach to the economic and environmental strategic design of ethanol supply chains. , 2013 .
[104] A. Petrillo,et al. An integrated conceptual model to promote green policies , 2013 .
[105] Zhiqing Meng,et al. A tri-level programming model based on Conditional Value-at-Risk for three-stage supply chain management , 2013, Comput. Ind. Eng..
[106] Anna Nagurney,et al. Supply chain networks with global outsourcing and quick-response production under demand and cost uncertainty , 2011, Annals of Operations Research.
[107] Kannan Govindan,et al. Multiple comparative studies of Green Supply Chain Management: Pressures analysis , 2013 .
[108] Reza Zanjirani Farahani,et al. Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case , 2013, Eur. J. Oper. Res..
[109] Jafar Razmi,et al. Introducing a mixed-integer non-linear fuzzy model for risk management in designing supply chain networks , 2013 .
[110] Qingwei Li,et al. Reliable facility location design under disruptions , 2013, Comput. Oper. Res..
[111] Mark S. Daskin,et al. Facility Location Decisions with Random Disruptions and Imperfect Estimation , 2013, Manuf. Serv. Oper. Manag..
[112] Gina Galindo,et al. Prepositioning of supplies in preparation for a hurricane under potential destruction of prepositioned supplies , 2013 .
[113] Chong Li,et al. Controlling the bullwhip effect in a supply chain system with constrained information flows , 2013 .
[114] Mohammad Mohammadi,et al. Reliable multi period multi product supply chain design with facility disruption , 2013 .
[115] Ruhul A. Sarker,et al. A recovery model for a two-echelon serial supply chain with consideration of transportation disruption , 2013, Comput. Ind. Eng..
[116] Lauren B. Davis,et al. Inventory planning and coordination in disaster relief efforts , 2013 .
[117] P. Deutz,et al. Using game theory to describe strategy selection for environmental risk and carbon emissions reduction in the green supply chain , 2012 .
[118] Jafar Razmi,et al. A robust stochastic programming approach for agile and responsive logistics under operational and disruption risks , 2012 .
[119] Jing Chen,et al. Contracting with demand uncertainty under supply chain competition , 2012, Ann. Oper. Res..
[120] Gerd J. Hahn,et al. Value-Based Performance and Risk Management in Supply Chains: A Robust Optimization Approach , 2012 .
[121] S. Seuring,et al. Conducting content‐analysis based literature reviews in supply chain management , 2012 .
[122] Samir Elhedhli,et al. Green supply chain network design to reduce carbon emissions , 2012 .
[123] Yenming J. Chen,et al. Impact of government financial intervention on competition among green supply chains , 2012 .
[124] Ming Dong,et al. Supply Disruption and Reactive Strategies in an Assemble-to-Order Supply Chain With Time-Sensitive Demand , 2012, IEEE Transactions on Engineering Management.
[125] Pankaj Dutta,et al. A Simulation Study of Bullwhip Effect in a Closed-Loop Supply Chain with Fuzzy Demand and Fuzzy Collection Rate under Possibility Constraints , 2012 .
[126] Eleftherios Iakovou,et al. Optimal newsvendor policies for dual-sourcing supply chains: A disruption risk management framework , 2012, Comput. Oper. Res..
[127] Guo-Ciang Wu,et al. The effects of GSCM drivers and institutional pressures on GSCM practices in Taiwan’s textile and apparel industry , 2012 .
[128] S. Lozano,et al. An analysis of the main factors affecting bullwhip in reverse supply chains , 2012 .
[129] Virgilio Cruz-Machado,et al. Supply chain redesign for resilience using simulation , 2012, Comput. Ind. Eng..
[130] T. Hitchcock,et al. Low carbon and green supply chains: the legal drivers and commercial pressures , 2012 .
[131] K. C. Liew,et al. Modelling and Risk Management in the Offshore and Marine Industry Supply Chain , 2012 .
[132] Miguel A. Figliozzi,et al. Online Freight Network Assignment Model with Transportation Disruptions and Recourse , 2011 .
[133] A. Nagurney,et al. Supply chain outsourcing under exchange rate risk and competition , 2011 .
[134] Nesim K. Erkip,et al. Value of supplier’s capacity information in a two-echelon supply chain , 2011, Ann. Oper. Res..
[135] Amanda J. Schmitt,et al. A Quantitative Analysis of Disruption Risk in a Multi-Echelon Supply Chain , 2011 .
[136] Hui-Chieh Li,et al. Reliability evaluation and adjustment of supply chain network design with demand fluctuations , 2011 .
[137] Tadeusz Sawik,et al. Selection of supply portfolio under disruption risks , 2011 .
[138] Mostafa Zandieh,et al. A hybrid multi-stage predictive model for supply chain network collapse recovery analysis: a practical framework for effective supply chain network continuity management , 2011 .
[139] R. K. Pati,et al. Quantifying bullwhip effect in a closed loop supply chain , 2010 .
[140] Amy Z. Zeng,et al. Coordination with a Backup Supplier Through Buy-Back Contract Under Supply Disruption , 2010 .
[141] L. V. Wassenhove,et al. Official Recycling and Scavengers: Symbiotic or Conflicting? , 2010, Eur. J. Oper. Res..
[142] Youhua Chen,et al. Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty , 2010, Manag. Sci..
[143] Sri Krishna Kumar,et al. Minimisation of supply chain cost with embedded risk using computational intelligence approaches , 2010 .
[144] Russell Bent,et al. Strategic Planning for Disaster Recovery with Stochastic Last Mile Distribution , 2010, CPAIOR.
[145] Maria C. Carneiro,et al. Risk Management in the Oil Supply Chain: A CVaR Approach , 2010 .
[146] Eleftherios Iakovou,et al. A stochastic inventory management model for a dual sourcing supply chain with disruptions , 2010, Int. J. Syst. Sci..
[147] Yanfeng Ouyang,et al. Reliable Facility Location Design Under the Risk of Disruptions , 2010, Oper. Res..
[148] Nan Yang,et al. Optimal Supply Diversification Under General Supply Risks , 2009, Oper. Res..
[149] José Miguel Laínez,et al. Incorporating environmental impacts and regulations in a holistic supply chains modeling: An LCA approach , 2009, Comput. Chem. Eng..
[150] Patroklos Georgiadis,et al. Environmental Strategies for Electrical and Electronic Equipment Supply Chains: Which to Choose? , 2009 .
[151] Jiuh-Biing Sheu,et al. Environmental-Regulation Pricing Strategies for Green Supply Chain Management , 2009 .
[152] Amy Z. Zeng,et al. Single or dual sourcing: decision-making in the presence of supply chain disruption risks , 2009 .
[153] Fengqi You,et al. Risk Management for a Global Supply Chain Planning Under Uncertainty : Models and Algorithms , 2009 .
[154] D Ross-Degnan,et al. Medicine prices, availability, and affordability in 36 developing and middle-income countries: a secondary analysis , 2009, The Lancet.
[155] Kenneth N. Brown,et al. A multi-objective stochastic programming approach for supply chain design considering risk , 2008 .
[156] P. Georgiadis,et al. Sustainability in electrical and electronic equipment closed-loop supply chains: A System Dynamics approach , 2008 .
[157] Thomas J. Kull,et al. The risk of second-tier supplier failures in serial supply chains: Implications for order policies and distributor autonomy , 2008, Eur. J. Oper. Res..
[158] Emmett J. Lodree,et al. An insurance risk management framework for disaster relief and supply chain disruption inventory planning , 2008, J. Oper. Res. Soc..
[159] K. Lai,et al. Confirmation of a measurement model for green supply chain management practices implementation , 2008 .
[160] Gautam Mitra,et al. Robust solutions and risk measures for a supply chain planning problem under uncertainty , 2008, J. Oper. Res. Soc..
[161] Nukala Viswanadham,et al. Analytical Framework for the Management of Risk in Supply Chains , 2007, IEEE Transactions on Automation Science and Engineering.
[162] Christopher S. Tang. Perspectives in supply chain risk management , 2006 .
[163] Simone Zanoni,et al. Cost performance and bullwhip effect in a hybrid manufacturing and remanufacturing system with different control policies , 2006 .
[164] Daniel E. Rivera,et al. Simulation-based optimization of process control policies for inventory management in supply chains , 2006, Autom..
[165] Stephen A. Kotleba,et al. Inventory modelling for complex emergencies in humanitarian relief operations , 2006 .
[166] Stephen Michael Disney,et al. Analysis and optimization of inventory variance and bullwhip in a manufacturing/remanufacturing system , 2005 .
[167] D. Towill. The impact of business policy on bullwhip induced risk in supply chain management , 2005 .
[168] M. Sodhi. Managing Demand Risk in Tactical Supply Chain Planning for a Global Consumer Electronics Company , 2005 .
[169] O. Tang,et al. The impact of information transparency on the dynamic behaviour of a hybrid manufacturing/remanufacturing system , 2004 .
[170] David Shan-Hill Wong,et al. Controller design and reduction of bullwhip for a model supply chain system using z-transform analysis , 2004 .
[171] D. Tranfield,et al. Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review , 2003 .
[172] M. Piattelli,et al. The control of goods transportation growth by modal share re-planning: the role of a carbon tax , 2002 .
[173] Jacqueline M. Bloemhof-Ruwaard,et al. THE IMPACT OF PRODUCT RECOVERY ON LOGISTICS NETWORK DESIGN , 2001 .
[174] Vineet Padmanabhan,et al. Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 1997, Manag. Sci..
[175] Peterson K. Ozili. Global Economic Consequence of Russian Invasion of Ukraine , 2022, SSRN Electronic Journal.
[176] Qingwen Hu,et al. Bullwhip effect in a supply chain model with multiple delivery delays , 2019, Oper. Res. Lett..
[177] Panos M. Pardalos,et al. Closed-loop supply chain inventory management with recovery information of reusable containers , 2018, J. Comb. Optim..
[178] Alok K. Choudhary,et al. Strategic design for inventory and production planning in closed-loop hybrid systems , 2017 .
[179] Katsumi Morikawa,et al. Efficient flexible long-term capacity planning for optimal sustainability dimensions performance of reverse logistics social responsibility: A system dynamics approach , 2017 .
[180] Kannan Govindan,et al. Investigating risk and robustness measures for supply chain network design under demand uncertainty: A case study of glass supply chain , 2017 .
[181] Manoj Kumar Tiwari,et al. Designing multi-period supply chain network considering risk and emission: a multi-objective approach , 2017, Ann. Oper. Res..
[182] Jutta Geldermann,et al. Managing risks in the Indonesian seaweed supply chain , 2016, Clean Technologies and Environmental Policy.
[183] R. J. Kuo,et al. The integration of association rule mining and artificial immune network for supplier selection and order quantity allocation , 2015, Appl. Math. Comput..
[184] N. Stefanović. Collaborative predictive business intelligence model for spare parts inventory replenishment , 2015, Comput. Sci. Inf. Syst..
[185] Masoud Rabbani,et al. Proactive and reactive inventory policies in humanitarian operations , 2015 .
[186] Marc Goetschalckx,et al. Production , Manufacturing and Logistics Strategic robust supply chain design based on the Pareto-optimal tradeoff between efficiency and risk , 2014 .
[187] Kin Keung Lai,et al. GBOM-oriented management of production disruption risk and optimization of supply chain construction , 2014, Expert Syst. Appl..
[188] Shinya Hanaoka,et al. Production , Manufacturing and Logistics Relief inventory modelling with stochastic lead-time and demand , 2014 .
[189] H. Gurnani,et al. Managing Risk of Supply Disruptions: Incentives for Capacity Restoration , 2013 .
[190] Mette Mosgaard,et al. Greening Non-Product-Related Procurement: When Policy Meets Reality , 2013 .
[191] Debabrata Das,et al. A System Dynamics Framework for an Integrated Forward-Reverse Supply Chain with Fuzzy Demand and Fuzzy Collection Rate under Possibility Constraints , 2012 .
[192] A. Ramudhin,et al. Design of sustainable supply chains under the emission trading scheme , 2012 .
[193] Yueyue Fan,et al. Bioethanol supply chain system planning under supply and demand uncertainties , 2012 .
[194] Xiaoqing Dong,et al. Application of a system dynamics approach for assessment of the impact of regulations on cleaner production in the electroplating industry in China , 2012 .
[195] Morales-Matamoros Oswaldo,et al. Fractal characterization of an after-sales spare parts supply chain in Telecom industry , 2011 .
[196] Sang-Hyun Kim,et al. Guilt by Association : Strategic Failure Prevention and Recovery Capacity Investments , 2011 .
[197] Subhash Wadhwa,et al. Decision and Information Synergy for Improving Product Recovery Performance , 2010 .
[198] Chwen Sheu,et al. Mediated effect of environmental management on manufacturing competitiveness: An empirical study , 2010 .
[199] Rommert Dekker,et al. A stochastic approach to a case study for product recovery network design , 2005, Eur. J. Oper. Res..
[200] Jose M. Cruz,et al. Production, Manufacturing and Logistics Supply chain networks, electronic commerce, and supply side and demand side risk , 2005 .