Intelligent Optimization Algorithms: A Stochastic Closed-Loop Supply Chain Network Problem Involving Oligopolistic Competition for Multiproducts and Their Product Flow Routings.

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dc.contributor.author Zhou, Y.
dc.contributor.author Chan, C.K.
dc.contributor.author Wong, K.H.
dc.contributor.author Lee, Y.C.E.
dc.date.accessioned 2016-07-19T14:32:56Z
dc.date.available 2016-07-19T14:32:56Z
dc.date.issued 2015-10-26
dc.identifier.citation Zhou, Y. et al. 2015. Mathematical Problems in Engineering. 918705. en_ZA
dc.identifier.issn 1024-123X (Print)
dc.identifier.issn 1563-5147 (Online)
dc.identifier.uri http://hdl.handle.net/10539/20667
dc.description.abstract Recently, the first oligopolistic competition model of the closed-loop supply chain network involving uncertain demand and return has been established. This model belongs to the context of oligopolistic firms that compete noncooperatively in a Cournot-Nash framework. In this paper, we modify the above model in two different directions. (i) For each returned product from demand market to firm in the reverse logistics, we calculate the percentage of its optimal product flows in each individual path connecting the demand market to the firm. This modification provides the optimal product flow routings for each product in the supply chain and increases the optimal profit of each firm at the Cournot-Nash equilibrium. (ii) Our model extends the method of finding the Cournot-Nash equilibrium involving smooth objective functions to problems involving nondifferentiable objective functions. This modification caters for more real-life applications as a lot of supply chain problems involve nonsmooth functions. Existence of the Cournot-Nash equilibrium is established without the assumption of differentiability of the given functions. Intelligent algorithms, such as the particle swarm optimization algorithm and the genetic algorithm, are applied to find the Cournot-Nash equilibrium for such nonsmooth problems. Numerical examples are solved to illustrate the efficiency of these algorithms. en_ZA
dc.language.iso en en_ZA
dc.publisher Hindawi Publishing Corporation en_ZA
dc.subject Algorithms en_ZA
dc.subject Commerce en_ZA
dc.subject Competition en_ZA
dc.subject Computation theory en_ZA
dc.subject Evolutionary algorithms en_ZA
dc.subject Game theory en_ZA
dc.subject Genetic algorithms en_ZA
dc.subject Logistics en_ZA
dc.subject Particle swarm optimization (PSO) en_ZA
dc.subject Stochastic systems en_ZA
dc.subject Supply chains en_ZA
dc.subject Telecommunication networks en_ZA
dc.subject Closed-loop supply chain networks en_ZA
dc.subject Cournot-Nash equilibrium en_ZA
dc.subject Intelligent Algorithms en_ZA
dc.subject Intelligent optimization algorithm en_ZA
dc.subject Non-differentiable objectives en_ZA
dc.subject Oligopolistic competition en_ZA
dc.subject Particle swarm optimization algorithm en_ZA
dc.subject Real-life applications en_ZA
dc.title Intelligent Optimization Algorithms: A Stochastic Closed-Loop Supply Chain Network Problem Involving Oligopolistic Competition for Multiproducts and Their Product Flow Routings. en_ZA
dc.type Article en_ZA


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