Supply Chain Network

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Anna Nagurney - One of the best experts on this subject based on the ideXlab platform.

  • a Supply Chain Network game theory model of cybersecurity investments with nonlinear budget constraints
    Annals of Operations Research, 2017
    Co-Authors: Anna Nagurney, Patrizia Daniele, Shivani Shukla
    Abstract:

    In this paper, we develop a Supply Chain Network game theory model consisting of retailers and demand markets with retailers competing noncooperatively in order to maximize their expected profits by determining their optimal product transactions as well as cybersecurity investments subject to nonlinear budget constraints that include the cybersecurity investment cost functions. The consumers at the demand markets reflect their preferences through the demand price functions, which depend on the product demands and on the average level of cybersecurity in the Supply Chain Network. We identify the Supply Chain Network vulnerability to cyberattacks as well as that of the individual retailers. We demonstrate that the governing Nash equilibrium conditions can be formulated as a variational inequality problem and we provide a novel alternative formulation, along with the accompanying theory. We also propose an algorithm for the alternative formulation, which yields, at each iteration, closed form expressions in product transactions, security levels, and Lagrange multipliers associated with the budget constraints. We then apply the algorithm to compute solutions to a spectrum of numerical Supply Chain Network cybersecurity investment examples. The examples broaden our understanding of the impacts of the addition of retailers, changes in budgets, demand price functions, and financial damages, on equilibrium product transactions and cybersecurity investments, as well as on the Supply Chain Network vulnerability and retailer vulnerability under budget constraints.

  • A General Multitiered Supply Chain Network Model of Quality Competition with Suppliers
    SSRN Electronic Journal, 2015
    Co-Authors: Anna Nagurney
    Abstract:

    In this paper, we develop a general multitiered Supply Chain Network equilibrium model consisting of competing suppliers and competing firms who purchase components for the assembly of their final branded products and, if capacity permits, and it enhances profits, produce their own components. The competitive behavior of each tier of decision-makers is described along with their strategic variables, which include quality of the components and, in the case of the firms, the quality of the assembly process itself. The governing equilibrium conditions of the Supply Chain Network are formulated as a variational inequality and qualitative properties are presented. The algorithm, accompanied with convergence results, is then applied to numerical Supply Chain Network examples, along with sensitivity analysis in which the impacts of capacity disruptions and complete supplier elimination are investigated.

  • Supply Chain Network competition in time-sensitive markets
    Transportation Research Part E: Logistics and Transportation Review, 2014
    Co-Authors: Anna Nagurney, Jonas Flodén, Ladimer S. Nagurney
    Abstract:

    We develop a game theory model for Supply Chain Network competition in time-sensitive markets in which consumers respond to the average delivery time associated with the various firms’ products. The firms’ behavior is captured, along with the Supply Chain Network topologies, with the governing equilibrium concept being that of Nash equilibrium. We derive the variational inequality formulation of the equilibrium conditions and provide illustrative examples. We also identify special cases for distinct applications. An algorithm is proposed, and the framework further illustrated through a case study in which we explore varying sensitivities to the average time delivery with interesting results.

  • Supply Chain Network sustainability under competition and frequencies of activities from production to distribution
    Computational Management Science, 2013
    Co-Authors: Anna Nagurney, Min Yu, Jonas Flodén
    Abstract:

    In this paper, we develop a competitive Supply Chain Network model with multiple firms, each of which produces a differentiated product by brand and weights the emissions that it generates through its Supply Chain Network activities in an individual way. The Supply Chain Network activities of production, transport and distribution, and storage have associated with them distinct capacities and the firms seek to determine their optimal product flows and frequencies of operation so that their utilities are maximized where the utilities consist of profits and weighted emissions. Multiple production, storage, and transport mode options are allowed. The governing equilibrium concept is that of Cournot–Nash equilibrium. We provide both path and link flow variational inequality formulations of the equilibrium conditions and then propose an algorithm, which, at each iteration, yields closed form expressions for the underlying variables. Numerical examples illustrate the generality of the model and the information provided to managerial decision-makers and policy-makers. This paper adds to the growing literature on sustainable Supply Chains through the development of a computable general competitive Supply Chain Network game theory model, which brings a greater realism to the evaluation of profit and emission trade-offs through the incorporation of frequencies.

  • Multiproduct Supply Chain Network Design with Applications to Healthcare
    2010
    Co-Authors: Anna Nagurney
    Abstract:

    In this paper, we develop a model for Supply Chain Network design in the case of multiple products, with particular relevance to healthcare. The model allows for the determination of the optimal capacities of Supply Chain Network activities, in the form of: manufacturing, storage, and distribution, as well as the optimal multiple product flows, and identifies at what minimal total cost the demands for the products at the various points are achievable. The model may be utilized for the determination of the optimal allocation of resources for multiple vaccine production as well as the production of medicines, among other healthcare applications. The model is sufficiently general to handle Supply Chain Network design, as well as redesign.

Feng Chun - One of the best experts on this subject based on the ideXlab platform.

  • Robustness Analysis of Supply Chain Network Based on Complex Networks
    Computer Simulation, 2012
    Co-Authors: Feng Chun
    Abstract:

    Supply Chain Networks often face several different types of disruptions.To better explore the robustness of Supply Chain Network,an evolving model with tunable parameters for Supply Chain Network was proposed.A new measure of Supply Chain Network robustness was proposed.Under random disruption and target disruption,the different topologies of Supply Chain Network robustness were analyzed.Simulation result shows that topology of Supply Chain Network has great influence on its robustness;the purposes of improving Supply Chain Network robustness can be achieved by adjusting the distance sensitive parameters and changing the evolution mechanism in the Network.This research provides some references for analyzing the robustness in Supply Chain management.

S A Torabi - One of the best experts on this subject based on the ideXlab platform.

  • a robust optimization approach to closed loop Supply Chain Network design under uncertainty
    Applied Mathematical Modelling, 2011
    Co-Authors: Mir Saman Pishvaee, Masoud Rabbani, S A Torabi
    Abstract:

    The concern about significant changes in the business environment (such as customer demands and transportation costs) has spurred an interest in designing scalable and robust Supply Chains. This paper proposes a robust optimization model for handling the inherent uncertainty of input data in a closed-loop Supply Chain Network design problem. First, a deterministic mixed-integer linear programming model is developed for designing a closed-loop Supply Chain Network. Then, the robust counterpart of the proposed mixed-integer linear programming model is presented by using the recent extensions in robust optimization theory. Finally, to assess the robustness of the solutions obtained by the novel robust optimization model, they are compared to those generated by the deterministic mixed-integer linear programming model in a number of realizations under different test problems.

Ladimer S. Nagurney - One of the best experts on this subject based on the ideXlab platform.

  • Supply Chain Network competition in time-sensitive markets
    Transportation Research Part E: Logistics and Transportation Review, 2014
    Co-Authors: Anna Nagurney, Jonas Flodén, Ladimer S. Nagurney
    Abstract:

    We develop a game theory model for Supply Chain Network competition in time-sensitive markets in which consumers respond to the average delivery time associated with the various firms’ products. The firms’ behavior is captured, along with the Supply Chain Network topologies, with the governing equilibrium concept being that of Nash equilibrium. We derive the variational inequality formulation of the equilibrium conditions and provide illustrative examples. We also identify special cases for distinct applications. An algorithm is proposed, and the framework further illustrated through a case study in which we explore varying sensitivities to the average time delivery with interesting results.

Martin Steinrucke - One of the best experts on this subject based on the ideXlab platform.

  • an approach to integrate production transportation planning and scheduling in an aluminium Supply Chain Network
    International Journal of Production Research, 2011
    Co-Authors: Martin Steinrucke
    Abstract:

    This article is based on a real-life problem of a global aluminium Supply Chain Network driven by an aluminium smelter. At each echelon of the aluminium Supply Chain Network, several members are involved which are scattered around the world. Producing aluminium begins with bauxite mining. Next, aluminium oxide is made from bauxite and finally aluminium is produced from aluminium oxide. A novel type of mixed-integer decision-making model, including a time-continuous representation of the planning period, is presented. The model enables coordination of production quantities and times of all Supply Chain members in order to minimise production and transportation costs of the whole Supply Chain minus bonus payments for early deliveries which are stipulated between the Supply Chain Network and its customers. Material flows can take place with or without temporary storage of intermediate products at Supplying and/or receiving sites. Furthermore, relax-and-fix heuristics are presented. A number of randomly gener...

  • An Approach to Integrate Production-Transportation Planning and Scheduling in an Aluminium Supply Chain Network
    International Journal of Production Research, 2011
    Co-Authors: Martin Steinrucke
    Abstract:

    This paper is based on a real-life problem of a global aluminium Supply Chain Network driven by an aluminium smelter. At each echelon of the aluminium Supply Chain Network several members are involved which are scattered around the world. Producing aluminium begins with bauxite mining. Next, aluminium oxide is made from bauxite and finally aluminium is produced from aluminium oxide. A novel type of mixed-integer decision-making model, including a time-continuous representation of the planning period, is presented. The model enables coordination of production quantities and times of all Supply Chain members in order to minimise production and transportation costs of the whole Supply Chain minus bonus payments for early deliveries which are stipulated between the Supply Chain Network and its customers. Material flows can take place with or without temporary storage of intermediate products at Supplying and/or receiving sites. Furthermore, relax-and-fix heuristics are presented. A number of randomly generated scenarios are presented to demonstrate that the heuristics can find nearly optimal solutions along with drastically reduced computation times. The relax-and-fix heuristic enables iterative planning between centralised and decentralised decision-makers.