Resilient network design of two supply chains under price competition: game theoretic and decomposition algorithm approach

Taleizadeh, Ata Allah; Ghavamifar, Ali; Khosrojerdi, Amir

doi:10.1007/s12351-020-00565-7

Cited by 16 publications

(15 citation statements)

References 47 publications

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“…Delic et al [25] studied the impact of supply chain resilience on supply chain performance in the context of the European automotive industry. Taleizadeh et al [8] utilized a Stackelberg game approach for designing resilient supply chains under price competition and facilities disruption. Diehlmann et al [26] created the game-theoretic model of Public-Private Emergency Collaborations that provides more detailed information into the motivation and incentives of the partners involved in emergency collaborations.…”

Section: Optimization Of Supply Chain Resiliencementioning

confidence: 99%

“…This fully reflects the superiority of the resilience mechanism, so supply chain resilience provides a new research idea for dealing with the uncertainty of emergency risk [7]. Taleizadeh et al [8] utilized a Stackelberg game approach for designing resilient supply chains and investigated the impact of using resilience strategies on supply chains competition. Sabouhi et al [9] presented a hybrid model that aims to determine sourcing and network design decisions, as well as resilience strategies for designing a sustainable supply chain that is resilient to random disruptions.…”

Section: Introductionmentioning

confidence: 99%

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Research on the Resilient Evolutionary Game of Logistics Service Supply Chain with Government Participation

Zhang

Wang

et al. 2022

Mathematics

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The resilient strategy of logistics service supply chains with government participation is not only an effective measure for manufacturers and integrators to lower the risks but also an important component of the modern risk management capability of government. From the perspective of risk society, this paper presupposes the existence of emergencies, embeds the “resilient ability” into the logistics service supply chain, establishes a tripartite evolutionary game model among the government, manufacturers, and integrators, and systematically analyzes the strategy selection process under the participation of the government. On this basis, through numerical experiments, this paper examines the supervision sensitivity with different policies on a micro level, investigates the impact incurred by the change in governmental reward and punishment degree, and further complements the research on the complexity of the strategy selection process in reality. The results show that in the short run, regardless of the reward and punishment measure the government chooses, the manufacturers and integrators will choose not to adopt and implement the resilient supply chain strategy, while, in the long run, increasing manufacturers’ initial supervision and implementing relevant reward and punishment measures can guide integrators to choose the strategy. Increasing government integrators’ reward degree and reducing costs can thus promote the enthusiasm of integrators in resilient logistics service supply chains.

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Section: Optimization Of Supply Chain Resiliencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on the Resilient Evolutionary Game of Logistics Service Supply Chain with Government Participation

Zhang

Wang

et al. 2022

Mathematics

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“…They employ the -constraint method to solve the research problem. Taleizadeh et al [ 31 ] combined the mathematical programming model and the game theory method to design a resilient supply chain network in a competitive environment. They defined resilience in the problem based on disruption scenarios and surplus inventory strategy.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In their study, the significant impact of responsiveness and mixed uncertainty was overlooked. In the proposed SC network by Yavari and Zaker [ 8 ] and Taleizadeh et al [ 31 ], resiliency and green factors of SC are considered. Resiliency is considered in their problem by simultaneous consideration of different resiliency strategies to tackle unwanted disruptions.…”

Section: Literature Reviewmentioning

confidence: 99%

An enhanced PSO algorithm to configure a responsive-resilient supply chain network considering environmental issues: a case study of the oxygen concentrator device

Nasrollah

Najafi

Bagherzadeh³

et al. 2022

Neural Comput & Applic

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In recent years, the hyper-competitive marketplace has led to a drastic enhancement in the importance of the supply chain problem. Hence, the attention of managers and researchers has been attracted to one of the most crucial problems in the supply chain management area called the supply chain network design problem. In this regard, this research attempts to design an integrated forward and backward logistics network by proposing a multi-objective mathematical model. The suggested model aims at minimizing the environmental impacts and the costs while maximizing the resilience and responsiveness of the supply chain. Since uncertainty is a major issue in the supply chain problem, the present paper studies the research problem under the mixed uncertainty and utilizes the robust possibilistic stochastic method to cope with the uncertainty. On the other side, since configuring a supply chain is known as an NP-Hard problem, this research develops an enhanced particle swarm optimization algorithm to obtain optimal/near-optimal solutions in a reasonable time. Based on the achieved results, the developed algorithm can obtain high-quality solutions (i.e. solutions with zero or a very small gap from the optimal solution) in a reasonable amount of time. The achieved results demonstrate the negative impact of the enhancement of the demand on environmental damages and the total cost. Also, according to the outputs, by increasing the service level, the total cost and environmental impacts have increased by 41% and 10%, respectively. On the other hand, the results show that increasing the disrupted capacity parameters has led to a 17% increase in the total costs and a 7% increase in carbon emissions. Supplementary Information The online version contains supplementary material available at 10.1007/s00521-022-07739-8.

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“…A reactive and proactive approach helps to solve disasters caused by disruption and design of the distribution system, which leads to create a resilient supply chain. Taleizadeh et al [35] utilized surplus inventory as one of most important resilience strategies in distribution centers in supply chain competition.…”

Section: Literature Reviewmentioning

confidence: 99%

A Robust Mathematical Model for Sustainable and Resilient Supply Chain Network Design: Preparing a Supply Chain to Deal with Disruptions

et al. 2021

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Supply chains suffer from serious vulnerabilities and disruptions with increasing global crises, including pandemics and natural disasters. Dynamic and complex supply chain environments have constantly led companies to modern management approaches such as resilience to address disruptions. Besides, the sustainability approach enhances the strength of the supply chain in disruptions by considering economic, social, and environmental aspects. This paper develops a mathematical model for designing a supply chain network considering resilience and sustainability. In this model, suppliers were exposed to disruption with different probabilities. The model has three objectives: minimizing total costs and maximizing suppliers’ social and environmental scores. A robust scenario-based stochastic programming approach has been used for potential disruption scenarios. The multiobjective model is solved by the ε -constraint method in GAMS software. The numerical results show the performance of the model in a different situation. Also, the robust scenario-based stochastic programming approach allows the average performance of the supply chain in each objective to improve.

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Resilient network design of two supply chains under price competition: game theoretic and decomposition algorithm approach

Cited by 16 publications

References 47 publications

Research on the Resilient Evolutionary Game of Logistics Service Supply Chain with Government Participation

Research on the Resilient Evolutionary Game of Logistics Service Supply Chain with Government Participation

An enhanced PSO algorithm to configure a responsive-resilient supply chain network considering environmental issues: a case study of the oxygen concentrator device

A Robust Mathematical Model for Sustainable and Resilient Supply Chain Network Design: Preparing a Supply Chain to Deal with Disruptions

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