A metaheuristic approach to the reliable location routing problem under disruptions

Zhang, Ying; Qi, Mingyao; Wang, Daoshun; Liu, Miao

doi:10.1016/j.tre.2015.09.001

Cited by 70 publications

(23 citation statements)

References 50 publications

(92 reference statements)

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“…Dynamic simulation models are recognized as a suitable tool to observe and predict SC behaviors over time. Simulation studies allow adding additional, dynamic features to the optimization techniques which are widely used in SC risk analysis , Sadghiani et al, 2015, Cui et al, 2016, Ivanov et al, 2016 along with heuristic approaches (Meena and Sarmah, 2013, Zhang et al, 2015, Hasani and Khosrojerdi, 2016. Most of the existing studies utilize discrete-event simulation approach (Schmitt and Singh, 2012, Ivanov, 2017a, 2017b, Schmitt et al, 2017, Ivanov and Rozhkov, 2017, Macdonald et al, 2018, Ivanov, 2019, Tan et al, 2020 while some studies use agent-based (Li and Chan, 2013, Hou et al, 2018 and system dynamics (Wilson, 2007, Aboah et al, 2019 methods, too.…”

Section: Simulation-based Sc Risk Modelingmentioning

confidence: 99%

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Ivanov

2020

Transportation Research Part E: Logistics and Transportation Re

1,593

1,348

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Epidemic outbreaks are a special case of supply chain (SC) risks which is distinctively characterized by a long-term disruption existence, disruption propagations (i.e., the ripple effect), and high uncertainty. We present the results of a simulation study that opens some new research tensions on the impact of COVID-19 (SARS-CoV-2) on the global SCs. First, we articulate the specific features that frame epidemic outbreaks as a unique type of SC disruption risks. Second, we demonstrate how simulation-based methodology can be used to examine and predict the impacts of epidemic outbreaks on the SC performance using the example of coronavirus COVID-19 and anyLogistix simulation and optimization software. We offer an analysis for observing and predicting both short-term and long-term impacts of epidemic outbreaks on the SCs along with managerial insights. A set of sensitivity experiments for different scenarios allows illustrating the model's behavior and its value for decision-makers. The major observation from the simulation experiments is that the timing of the closing and opening of the facilities at different echelons might become a major factor that determines the epidemic outbreak impact on the SC performance rather than an upstream disruption duration or the speed of epidemic propagation. Other important factors are lead-time, speed of epidemic propagation, and the upstream and downstream disruption durations in the SC. The outcomes of this research can be used by decisionmakers to predict the operative and long-term impacts of epidemic outbreaks on the SCs and develop pandemic SC plans. Our approach can also help to identify the successful and wrong elements of risk mitigation/preparedness and recovery policies in case of epidemic outbreaks. The paper is concluded by summarizing the most important insights and outlining future research agenda.

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Section: Simulation-based Sc Risk Modelingmentioning

confidence: 99%

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Ivanov

2020

Transportation Research Part E: Logistics and Transportation Re

1,593

1,348

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“…Some extensions of the VRP under disruptions have been studied in the literature. The location routing problem with disruption has been studied by Zhang et al (2015), who consider a multi-product problem with stochastic demand in which the supply of the product is randomly disrupted in distribution centers. To tackle this problem, the authors presented a bi-objective mixed-integer nonlinear programming model with one objective of minimizing the overall costs and the second objective was to minimize the total failure costs related to disrupted distribution centers.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic inventory routing problem: Policies considering network disruptions

2018

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In this paper, we introduce an inventory routing problem with network disruptions. In this problem, not only decisions on inventory levels and vehicle routing are made simultaneously, but also, we consider disruptions over the networks in which a number of arcs are vulnerable to these disruptions, leading to an increase in travel times. We develop a dynamic programming approach to deal with this situation, and we also evaluate some policies adapting well-known instances from the literature.

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“…Constraints (5) show that the traffic flow on road link l shall not exceed the set capacity, as assumption 2) implies. Constraints (6) are based on the definition of P sijk , representing the safe passing probability of the k-th shortest path in which vehicle i travels to destination j in scenario s. Constraints (7) indicate that the decision variables ijk x are 0-1 variables.…”

Section: Formulationmentioning

confidence: 99%

“…It is a great challenge that all situations are supposed to be considered in one scheme. Inspired by work of Zhang, Ying, et al [7], we will consider situations as discrete scenarios in this paper. Scenario describes the future situation may occur, and also presents the uncertainty of reality [8].…”

Section: Introductionmentioning

confidence: 99%

Maneuvering Route Safety Planning for Military Vehicles during Wartime

et al. 2016

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Abstract. Maneuvering route planning for the military vehicles during wartime is a noteworthy problem in the field of military transportation. Existing research paid little attention to security of vehicles, which we consider as a non-ignorable aspect with the military background. Based on scenarios, we build a k-th shortest paths planning model aiming at vehicles safety improving. A genetic algorithm with specific encoding rules is proposed. And two groups of computational experiments based on the real road network of Fujian, China are performed. The results of the experiments show this is an effective algorithm to improve the vehicles' safety during maneuvering.

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A metaheuristic approach to the reliable location routing problem under disruptions

Cited by 70 publications

References 50 publications

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Dynamic inventory routing problem: Policies considering network disruptions

Maneuvering Route Safety Planning for Military Vehicles during Wartime

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