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

Simple item page
dc.contributor.authorZhou, Y.
dc.contributor.authorChan, C.K.
dc.contributor.authorWong, K.H.
dc.contributor.authorLee, Y.C.E.
dc.date.accessioned2016-07-19T14:32:56Z
dc.date.available2016-07-19T14:32:56Z
dc.date.issued2015-10-26
dc.description.abstractRecently, 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.identifier.citationZhou, Y. et al. 2015. Mathematical Problems in Engineering. 918705.en_ZA
dc.identifier.issn1024-123X (Print)
dc.identifier.issn1563-5147 (Online)
dc.identifier.urihttp://hdl.handle.net/10539/20667
dc.language.isoenen_ZA
dc.publisherHindawi Publishing Corporationen_ZA
dc.subjectAlgorithmsen_ZA
dc.subjectCommerceen_ZA
dc.subjectCompetitionen_ZA
dc.subjectComputation theoryen_ZA
dc.subjectEvolutionary algorithmsen_ZA
dc.subjectGame theoryen_ZA
dc.subjectGenetic algorithmsen_ZA
dc.subjectLogisticsen_ZA
dc.subjectParticle swarm optimization (PSO)en_ZA
dc.subjectStochastic systemsen_ZA
dc.subjectSupply chainsen_ZA
dc.subjectTelecommunication networksen_ZA
dc.subjectClosed-loop supply chain networksen_ZA
dc.subjectCournot-Nash equilibriumen_ZA
dc.subjectIntelligent Algorithmsen_ZA
dc.subjectIntelligent optimization algorithmen_ZA
dc.subjectNon-differentiable objectivesen_ZA
dc.subjectOligopolistic competitionen_ZA
dc.subjectParticle swarm optimization algorithmen_ZA
dc.subjectReal-life applicationsen_ZA
dc.titleIntelligent Optimization Algorithms: A Stochastic Closed-Loop Supply Chain Network Problem Involving Oligopolistic Competition for Multiproducts and Their Product Flow Routings.en_ZA
dc.typeArticleen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
918705-1.pdf
Size:
2.56 MB
Format:
Adobe Portable Document Format
Description:
Article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Outputs (Computer Science and Applied Mathematics)
Academic Wits Research Outputs (All submissions)