The Experts below are selected from a list of 6012 Experts worldwide ranked by ideXlab platform

Marianthi G Ierapetritou - One of the best experts on this subject based on the ideXlab platform.

  • Flexibility assessment and risk management in Supply Chains
    AIChE Journal, 2015
    Co-Authors: Nihar Sahay, Marianthi G Ierapetritou
    Abstract:

    Increased uncertainty in recent years has led the Supply Chains to incorporate measures to be more flexible in order to perform well in the face of the uncertain events. It has been shown that these measures improve the performance of Supply Chains by mitigating the risks associated with uncertainties. However, it is also important to assess the uncertainty under which a Supply Chain network can perform well and manage risk. Flexibility is defined in terms of the bounds of uncertain parameters within which Supply Chain Operation is feasible. A hybrid simulation-based optimization framework that uses two-stage stochastic programming in a rolling horizon framework is proposed. The framework enables taking optimum planning decisions considering demand uncertainty while managing risk. The framework is used to study the trade-offs between flexibility, economic performance, and risk associated with Supply Chain Operation. © 2015 American Institute of Chemical Engineers.

Nihar Sahay - One of the best experts on this subject based on the ideXlab platform.

  • Flexibility assessment and risk management in Supply Chains
    AIChE Journal, 2015
    Co-Authors: Nihar Sahay, Marianthi G Ierapetritou
    Abstract:

    Increased uncertainty in recent years has led the Supply Chains to incorporate measures to be more flexible in order to perform well in the face of the uncertain events. It has been shown that these measures improve the performance of Supply Chains by mitigating the risks associated with uncertainties. However, it is also important to assess the uncertainty under which a Supply Chain network can perform well and manage risk. Flexibility is defined in terms of the bounds of uncertain parameters within which Supply Chain Operation is feasible. A hybrid simulation-based optimization framework that uses two-stage stochastic programming in a rolling horizon framework is proposed. The framework enables taking optimum planning decisions considering demand uncertainty while managing risk. The framework is used to study the trade-offs between flexibility, economic performance, and risk associated with Supply Chain Operation. © 2015 American Institute of Chemical Engineers.

Boris Sokolov - One of the best experts on this subject based on the ideXlab platform.

  • Hybrid fuzzy-probabilistic approach to Supply Chain resilience assessment
    IEEE Transactions on Engineering Management, 2018
    Co-Authors: Dmitry Ivanov, Alexander Pavlov, Alexandre Dolgui, Boris Sokolov
    Abstract:

    In this paper, we extend the existing models of Supply Chain resilience assessment by incorporating the ripple effect and structure reconfiguration. The research is based on a hybrid fuzzy-probabilistic approach. We apply the genome method with the objective to include the structural properties of the Supply Chain design into resilience assessment. We develop a Supply Chain design resilience index, demonstrate its computation and application. The results suggest a method to compare different Supply Chain designs regarding the resilience with both disruption propagation and recovery consideration. It also allows identifying groups of critical suppliers whose failure interrupt the Supply Chain Operation.

  • Hybrid fuzzy-probabilistic approach to Supply Chain resilience assessment
    IEEE Transactions on Engineering Management, 2018
    Co-Authors: Alexander Pavlov, Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov
    Abstract:

    In this paper, the existing models of Supply Chain resilience assessment are extended by incorporating ripple effect and structure reconfiguration. Ripple effect mitigation control is vital for Supply Chain risk management from positions of structural resilience and recoverability. The research approach is based on a hybrid fuzzy-probabilistic approach. The genome method is applied with the objective of including the structural properties of Supply Chain design into resilience assessment. A Supply Chain design resilience index is developed, and its computation and application are demonstrated. The results suggest a method of comparing different Supply Chain designs regarding the resilience both to disruption propagation and with recovery consideration. It also allows the identification of groups of critical suppliers whose failure interrupts Supply Chain Operation.

De Zhi Zhang - One of the best experts on this subject based on the ideXlab platform.

  • capacitated Supply Chain Operation optimization of assembly manufacturing with delivery time constraint
    Applied Mechanics and Materials, 2012
    Co-Authors: Shuang Yan Li, De Zhi Zhang
    Abstract:

    Operation optimization problem of capacitated assembly manufacturing Supply Chain was investigated in this paper. Three-stage system open equations of all planning periods were set up. Acceptable delivery time for customers form time window that was also considered as constraint on assembly system Supply Chain. The planning time is divided into many equally intervals, and Operation decisions of every period can vary with time. Ability constraint in the process of Supply Chain Operation, delivery time constraints and different production components’ quantity ratio constrain were all considered in the dynamic Operation optimization model. Optimization problem is solved by hybrid mixed integral optimization and SQP algorithm. And a set of numerical examples that reveal the insights into the dynamic optimization policy.

  • two stage Supply Chain inventory coordination strategy with Supply hub Operation mode
    Advanced Materials Research, 2012
    Co-Authors: Shuangy Yan Li, De Zhi Zhang
    Abstract:

    It is difficult to control and coordinate inventory of assembly manufacturing Supply Chain because there are multi-suppliers in control system. In order to integrate different suppliers and send parts packages to production line directly, Supply-Hub is used in practice. Queuing theory and basic inventory strategy are applied to model inventory control of assembly manufacturing Supply Chain with Supply-Hub mode. And optimization solution for decentralized decision and centralized decision were derived separately. Then coordination inventory strategy is obtained by comparing decentralized decision and centralized decision. Backorder and holding cost subsidy contracts are used for coordination that incites suppliers to set basic inventories in favor of whole Supply Chain Operation cost reduction. And numerical examples of three suppliers and one manufacturer are given to illustrate the effectiveness of the coordination strategy.

Alexander Pavlov - One of the best experts on this subject based on the ideXlab platform.

  • Hybrid fuzzy-probabilistic approach to Supply Chain resilience assessment
    IEEE Transactions on Engineering Management, 2018
    Co-Authors: Dmitry Ivanov, Alexander Pavlov, Alexandre Dolgui, Boris Sokolov
    Abstract:

    In this paper, we extend the existing models of Supply Chain resilience assessment by incorporating the ripple effect and structure reconfiguration. The research is based on a hybrid fuzzy-probabilistic approach. We apply the genome method with the objective to include the structural properties of the Supply Chain design into resilience assessment. We develop a Supply Chain design resilience index, demonstrate its computation and application. The results suggest a method to compare different Supply Chain designs regarding the resilience with both disruption propagation and recovery consideration. It also allows identifying groups of critical suppliers whose failure interrupt the Supply Chain Operation.

  • Hybrid fuzzy-probabilistic approach to Supply Chain resilience assessment
    IEEE Transactions on Engineering Management, 2018
    Co-Authors: Alexander Pavlov, Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov
    Abstract:

    In this paper, the existing models of Supply Chain resilience assessment are extended by incorporating ripple effect and structure reconfiguration. Ripple effect mitigation control is vital for Supply Chain risk management from positions of structural resilience and recoverability. The research approach is based on a hybrid fuzzy-probabilistic approach. The genome method is applied with the objective of including the structural properties of Supply Chain design into resilience assessment. A Supply Chain design resilience index is developed, and its computation and application are demonstrated. The results suggest a method of comparing different Supply Chain designs regarding the resilience both to disruption propagation and with recovery consideration. It also allows the identification of groups of critical suppliers whose failure interrupts Supply Chain Operation.