Risk analysis in logistics systems: A research agenda during and after the COVID-19 pandemic
Transportation Research, Part E: Logistics and Transportation Review - Tập 145 - Trang 102190 - 2021
Tài liệu tham khảo
Adida, 2013, Operational issues and network effects in vaccine markets, Eur. J. Oper. Res., 231, 414, 10.1016/j.ejor.2013.05.034
Adland, 2008, Charter market default risk: A conceptual approach, Transportation Research Part E: Logistics and Transportation Review, 44, 152, 10.1016/j.tre.2006.06.002
Ahmadi-Javid, 2013, A location-routing problem with disruption risk, Transportation Research Part E: Logistics and Transportation Review, 53, 63, 10.1016/j.tre.2013.02.002
Amankwah-Amoah, 2020, Note: Mayday, Mayday, Mayday! Responding to environmental shocks: Insights on global airlines’ responses to COVID-19, Transportation Research Part E: Logistics and Transportation Review, 143, 10.1016/j.tre.2020.102098
Arifoğlu, K., & Tang, C. S. (2020). A two-sided outcome-based incentive program for coordinating the influenza vaccine supply chain. Working paper. Available at SSRN: https://papers.ssrn.com/sol3/results.cfm.
Arifoğlu, 2012, Consumption externality and yield uncertainty in the influenza vaccine supply chain: Interventions in demand and supply sides, Manage. Sci., 58, 1072, 10.1287/mnsc.1110.1469
Baghalian, 2013, Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case, Eur. J. Oper. Res., 227, 199, 10.1016/j.ejor.2012.12.017
Balbontin, 2017, Integrating attribute non-attendance and value learning with risk attitudes and perceptual conditioning, Transportation Research Part E: Logistics and Transportation Review, 97, 172, 10.1016/j.tre.2016.11.002
Cai, 2020, Platform supported supply chain operations in the blockchain era: Supply contracting and moral hazards, Decision Sciences, 10.1111/deci.12475
Cantor, 2014, The clock is ticking: The role of uncertainty, regulatory focus, and level of risk on supply chain disruption decision making behavior, Transportation Research Part E: Logistics and Transportation Review, 72, 159, 10.1016/j.tre.2014.10.007
Cantor, 2013, Do owner–operators pose a safety risk on the nation’s highways?, Transportation Research Part E: Logistics and Transportation Review, 59, 34, 10.1016/j.tre.2013.08.002
Chan, H.L., Choi, T.M., Cai, Y.J., & Shen, B. (2020). Environmental taxes in newsvendor supply chains: a mean-downside-risk analysis. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50 (12), 4856 - 4869, 2020.
Chen, 2014, Supply disruptions, heterogeneous beliefs, and production efficiencies, Production and Operations Management, 23, 127, 10.1111/poms.12027
Chiu, 2016, Supply chain risk analysis with mean-variance models: a technical review, Ann. Oper. Res., 240, 489, 10.1007/s10479-013-1386-4
Chiu, 2018, Optimal advertising budget allocation in luxury fashion markets with social influences: A mean-variance analysis, Production and Operations Management, 27, 1611, 10.1111/poms.12886
Chiu, 2012, Roy’s safety-first portfolio principle in financial risk management of disastrous events, Risk Anal., 32, 1856, 10.1111/j.1539-6924.2011.01751.x
Chod, 2020, On the financing benefits of supply chain transparency and blockchain adoption, Management Science, 10.1287/mnsc.2019.3434
Choi, 2020, Innovative “bring-service-near-your-home” operations under Corona-virus (COVID-19/SARS-CoV-2) outbreak: Can logistics become the messiah?, Transportation Research Part E: Logistics and Transportation Review, 140, 10.1016/j.tre.2020.101961
Choi, 2012
Choi, 2016, Risk management of logistics systems, Transportation Research Part E: Logistics and Transportation Review, 90, 1, 10.1016/j.tre.2016.03.007
Choi, 2020, Pricing with risk sensitive competing container shipping lines: will risk seeking do more good than harm?, Transportation Research Part B: Methodological, 133, 210, 10.1016/j.trb.2020.01.003
Choi, 2017
Choi, 2017, Advances in risk analysis with big data, Risk Anal., 37, 1435, 10.1111/risa.12859
Choi, 2003, Optimal two-stage ordering policy with Bayesian information updating, Journal of the Operational Research Society, 54, 846, 10.1057/palgrave.jors.2601584
Choi, 2006, Quick response policy with Bayesian information updates, Eur. J. Oper. Res., 170, 788, 10.1016/j.ejor.2004.07.049
Choi, 2008, Mean–variance analysis of a single supplier and retailer supply chain under a returns policy, Eur. J. Oper. Res., 184, 356, 10.1016/j.ejor.2006.10.051
Choi, 2018, Big data analytics in operations management, Production and Operations Management, 27, 1868, 10.1111/poms.12838
Choi, 2019, The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era, Transportation Research Part E: Logistics and Transportation Review, 127, 178, 10.1016/j.tre.2019.05.007
Choi, 2018, Quick response in supply chains with stochastically risk sensitive retailers, Decision Sciences, 49, 932, 10.1111/deci.12303
Cui, 2016, Store brand introduction in a two-echelon logistics system with a risk-averse retailer, Transportation Research Part E: Logistics and Transportation Review, 90, 69, 10.1016/j.tre.2015.10.005
Cui, 2012, Better than dynamic mean-variance: Time inconsistency and free cash flow stream, Mathematical Finance: An International Journal of Mathematics, Statistics and Financial Economics, 22, 346, 10.1111/j.1467-9965.2010.00461.x
Cui, 2018, Portfolio optimization with nonparametric value at risk: A block coordinate descent method, INFORMS Journal on Computing, 30, 454, 10.1287/ijoc.2017.0793
Drobetz, 2016, Systematic risk behavior in cyclical industries: The case of shipping, Transportation Research Part E: Logistics and Transportation Review, 88, 129, 10.1016/j.tre.2016.01.008
Drobetz, 2013, Maritime financial management, Transportation Research Part E: Logistics and Transportation Review, 52, 1, 10.1016/j.tre.2012.11.005
Fattahi, 2018, A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk: A real-life case study, Transportation Research Part E: Logistics and Transportation Review, 118, 534, 10.1016/j.tre.2018.08.008
Gao, 2017, Dynamic mean-LPM and mean-CVaR portfolio optimization in continuous-time, SIAM J. Control Optim., 55, 1377, 10.1137/140955264
Gong, 2020, Contagion risk between the shipping freight and stock markets: Evidence from the recent US-China trade war, Transportation Research Part E: Logistics and Transportation Review, 136, 10.1016/j.tre.2020.101900
Govindan, 2020, A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19), Transportation Research Part E: Logistics and Transportation Review, 138, 10.1016/j.tre.2020.101967
Guha, 2018, Emergence of big data research in operations management, information systems, and healthcare: Past contributions and future roadmap, Production and Operations Management, 27, 1724, 10.1111/poms.12833
Haimes, 1991, A hierarchical-multiobjective framework for risk management, Automatica, 27, 579, 10.1016/0005-1098(91)90120-Q
Haimes, 1990, Multiobjective decision-tree analysis, Risk Anal., 10, 111, 10.1111/j.1539-6924.1990.tb01026.x
He, 2017, Capacity investment in supply chain with risk averse supplier under risk diversification contract, Transportation Research Part E: Logistics and Transportation Review, 106, 255, 10.1016/j.tre.2017.08.005
Ishida, 2020, Perspectives on supply chain management in a pandemic and the post-COVID-19 era, IEEE Eng. Manage. Rev., 40, 146, 10.1109/EMR.2020.3016350
Ivanov, 2020, Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case, Transportation Research Part E: Logistics and Transportation Review, 136, 10.1016/j.tre.2020.101922
Ivanov, 2020, OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications, International Journal of Production Economics
Jeong, 2020, The humanitarian flying warehouse, Transportation Research Part E: Logistics and Transportation Review, 136, 10.1016/j.tre.2020.101901
Kalla, 2020, The role of blockchain to fight against COVID-19, IEEE Eng. Manage. Rev., 48, 85, 10.1109/EMR.2020.3014052
Kaplan, 2020, OM forum: COVID-19 scratch models to support local decisions, Manufacturing & Service Operations Management, 22, 645, 10.1287/msom.2020.0891
Kavussanos, 2004, Shipping finance and port issues, Transportation Research Part E: Logistics and Transportation Review, 40, 271, 10.1016/j.tre.2004.04.001
Keall, 2005, A method for estimating crash risk associated with driver BAC, Transportation Research Part E: Logistics and Transportation Review, 41, 409, 10.1016/j.tre.2005.03.004
Kotcharin, 2020, Geopolitical risk and corporate cash holdings in the shipping industry, Transportation Research Part E: Logistics and Transportation Review, 136, 10.1016/j.tre.2020.101862
Kuzminski, 1995, Improvement of highway safety I: Identification of causal factors through fault-tree modeling, Risk Anal., 15, 293, 10.1111/j.1539-6924.1995.tb00323.x
Lambert, 1994, Selection of probability distributions in characterizing risk of extreme events, Risk Anal., 14, 731, 10.1111/j.1539-6924.1994.tb00283.x
Li, 2018, Selection of financing strategies with a risk-averse supplier in a capital-constrained supply chain, Transportation Research Part E: Logistics and Transportation Review, 118, 163, 10.1016/j.tre.2018.06.007
Li, 1993, Hierarchical control for large-scale systems with general multiple linear-quadratic structure, Automatica, 29, 1451, 10.1016/0005-1098(93)90009-I
Li, 1999, Zero duality gap in integer programming: P-norm surrogate constraint method, Operations Research Letters, 25, 89, 10.1016/S0167-6377(99)00039-5
Li, 1993, Capacity reliability of water distribution networks, Reliab. Eng. Syst. Saf., 42, 29, 10.1016/0951-8320(93)90052-Z
Li, 1987, The envelope approach for multiobjective optimization problems, IEEE Transactions on Systems, Man, and Cybernetics, 17, 1026, 10.1109/TSMC.1987.6499313
Li, 1990, New approach for nonseparable dynamic programming problems, J. Optim. Theory Appl., 64, 311, 10.1007/BF00939451
Li, 1992, A decomposition method for optimization of large-system reliability, IEEE Trans. Reliab., 41, 183, 10.1109/24.257778
Li, 2000, Optimal dynamic portfolio selection: Multiperiod mean-variance formulation, Mathematical Finance, 10, 387, 10.1111/1467-9965.00100
Li, 2002, Variance minimization approach for a class of dual control problems, IEEE Trans. Autom. Control, 47, 2010, 10.1109/TAC.2002.805683
Li, 2006
Li, 2020, Green supply chain management in Chinese firms: Innovative measures and the moderating role of quick response technology, J. Oper. Manage., 66, 958, 10.1002/joom.1061
Li, 2020, Supporting a financially constrained supplier under spectral risk measures: The efficiency of buyer lending, Transportation Research Part E: Logistics and Transportation Review, 136, 10.1016/j.tre.2020.101894
Loree, 2018, Points of distribution location and inventory management model for Post-Disaster Humanitarian Logistics, Transportation Research Part E: Logistics and Transportation Review, 116, 1, 10.1016/j.tre.2018.05.003
Luo, H., Ding, X., Peng, J., Jiang, R., & Li, D. (2020). Complexity results and effective algorithms for worst-case linear optimization under uncertainties. INFORMS Journal on Computing, published online (https://doi.org/10.1287/ijoc.2019.0941).
Marufuzzaman, 2014, Analyzing the impact of intermodal-related risk to the design and management of biofuel supply chain, Transportation Research Part E: Logistics and Transportation Review, 69, 122, 10.1016/j.tre.2014.06.008
McCarthy, 2005, Road safety, alcohol and public policy (Editorial), Transportation Research, Part E: Logistics and Transportation Review, 41, 373, 10.1016/j.tre.2005.03.006
Meena, 2013, Multiple sourcing under supplier failure risk and quantity discount: A genetic algorithm approach, Transportation Research Part E: Logistics and Transportation Review, 50, 84, 10.1016/j.tre.2012.10.001
Nagurney, 2016, A Generalized Nash Equilibrium network model for post-disaster humanitarian relief, Transportation Research Part E: Logistics and Transportation Review, 95, 1, 10.1016/j.tre.2016.08.005
Nguyen, 2018, Big data analytics in supply chain management: A state-of-the-art literature review, Comput. Oper. Res., 98, 254, 10.1016/j.cor.2017.07.004
Park, 2010, A three-level supply chain network design model with risk-pooling and lead times, Transportation Research Part E: Logistics and Transportation Review, 46, 563, 10.1016/j.tre.2009.12.004
PrasannaVenkatesan, 2016, Multi-objective supplier selection and order allocation under disruption risk, Transportation Research Part E: Logistics and Transportation Review, 95, 124, 10.1016/j.tre.2016.09.005
Queiroz, M.M., Ivanov, D., Dolgui, A., & Wamba, S.F. (2020). Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals of Operations Research, published online.
Sharma, 2020, Developing a framework for enhancing survivability of sustainable supply chains during and post-COVID-19 pandemic, International Journal of Production Research
Sheu, 2007, Challenges of emergency logistics management, Transportation Research Part E: Logistics and Transportation Review, 43, 655, 10.1016/j.tre.2007.01.001
Sheu, 2016, Supplier hoarding, government intervention, and timing for post-disaster crop supply chain recovery, Transportation Research Part E: Logistics and Transportation Review, 90, 134, 10.1016/j.tre.2015.09.013
Strub, 2020, Failing to foresee the updating of the reference point leads to time-inconsistent investment, Oper. Res., 68, 199, 10.1287/opre.2019.1872
Strub, 2019, Discrete-time mean-CVaR portfolio selection and time-consistency induced term structure of the CVaR, Journal of Economic Dynamics and Control, 108, 10.1016/j.jedc.2019.103751
Sun, 2020, Combating lead-time uncertainty in global supply chain’s shipment-assignment: Is it wise to be risk-averse?, Transportation Research Part B: Methodological, 138, 406, 10.1016/j.trb.2020.05.015
Tan, 2020, Evacuating metro passengers via the urban bus system under uncertain disruption recovery time and heterogeneous risk-taking behaviour, Transportation Research Part C: Emerging Technologies, 119, 10.1016/j.trc.2020.102761
Tao, 2020, Incorporating risk aversion and fairness considerations into procurement and distribution decisions in a supply chain, Int. J. Prod. Res., 58, 1950, 10.1080/00207543.2019.1637955
Thomas, 2006, Pooling lead-time risk by order splitting: A critical review, Transportation Research Part E: Logistics and Transportation Review, 42, 245, 10.1016/j.tre.2004.11.002
Tsao, 2017, Managing default risk under trade credit: Who should implement big-data analytics in supply chains?, Transportation Research Part E: Logistics and Transportation Review, 106, 276, 10.1016/j.tre.2017.08.013
Wang, 2019, Joint logistics and financial services by a 3PL firm: Effects of risk preference and demand volatility, Transportation Research Part E: Logistics and Transportation Review, 130, 312, 10.1016/j.tre.2019.09.006
Wang, 2018, Climate change, natural disasters and adaptation investments: Inter-and intra-port competition and cooperation, Transportation Research Part B: Methodological, 117, 158, 10.1016/j.trb.2018.08.003
Wang, 2014, An option-based hedging mechanism for managing the risk of overbooking in parallel airline alliances, Transportation Research Part E: Logistics and Transportation Review, 70, 146, 10.1016/j.tre.2014.06.014
Wu, 2019, Quadratic convex reformulation for quadratic programming with linear on–off constraints, Eur. J. Oper. Res., 274, 824, 10.1016/j.ejor.2018.09.028
Wu, 2020, Bad greenwashing, good greenwashing: Corporate social responsibility and information transparency, Manage. Sci., 66, 3095, 10.1287/mnsc.2019.3340
Wu, 2007, Peeling off a nonconvex cover of an actual convex problem: hidden convexity, SIAM J. Optim., 18, 507, 10.1137/050648584
Xue, 2016, Diversification strategy with random yield suppliers for a mean–variance risk-sensitive manufacturer, Transportation Research Part E: Logistics and Transportation Review, 90, 90, 10.1016/j.tre.2016.01.013
Yeung, 2010, Optimal scheduling of a single-supplier single-manufacturer supply chain with common due windows, IEEE Trans. Autom. Control, 55, 2767, 10.1109/TAC.2010.2049766
Zhang, 2020, Stochastic production capacity: A bane or a boon for quick response supply chains, Nav. Res. Logist., 67, 126, 10.1002/nav.21889
Zhang, 2020, Supply chains involving a mean-variance-skewness-kurtosis newsvendor: Analysis and coordination, Production and Operations Management, 29, 1397, 10.1111/poms.13159
Zhen, 2016, Transportation disruption risk management: business interruption insurance and backup transportation, Transportation Research Part E: Logistics and Transportation Review, 90, 51, 10.1016/j.tre.2016.01.005
Zheng, 2017, Effects of risk-aversion on competing shipping lines’ pricing strategies with uncertain demands, Transportation Research Part B: Methodological, 104, 337, 10.1016/j.trb.2017.08.004
Zheng, 2010, Duality gap estimation of linear equality constrained binary quadratic programming, Mathematics of Operations Research, 35, 864, 10.1287/moor.1100.0472
Zhong, 2020, Risk-averse optimization of disaster relief facility location and vehicle routing under stochastic demand, Transportation Research Part E: Logistics and Transportation Review, 141, 10.1016/j.tre.2020.102015