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Hybrid Electromagnetism-Like Algorithm for Dynamic Supply Chain Network Design under Traffic Congestion and Uncertainty
Joint Authors
Fathian, Mohammad
Jouzdani, Javid
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-27
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
With the constantly increasing pressure of the competitive environment, supply chain (SC) decision makers are forced to consider several aspects of business climate.
More specifically, they should take into account the endogenous features (e.g., available means of transportation, and the variety of products) and exogenous criteria (e.g., the environmental uncertainty, and transportation system conditions).
In this paper, a mixed integer nonlinear programming (MINLP) model for dynamic design of a supply chain network is proposed.
In this model, multiple products and multiple transportation modes, the time value of money, traffic congestion, and both supply-side and demand-side uncertainties are considered.
Due to the complexity of such models, conventional solution methods are not applicable; therefore, two hybrid Electromagnetism-Like Algorithms (EMA) are designed and discussed for tackling the problem.
The numerical results show the applicability of the proposed model and the capabilities of the solution approaches to the MINLP problem.
American Psychological Association (APA)
Jouzdani, Javid& Fathian, Mohammad. 2016. Hybrid Electromagnetism-Like Algorithm for Dynamic Supply Chain Network Design under Traffic Congestion and Uncertainty. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1111880
Modern Language Association (MLA)
Jouzdani, Javid& Fathian, Mohammad. Hybrid Electromagnetism-Like Algorithm for Dynamic Supply Chain Network Design under Traffic Congestion and Uncertainty. Mathematical Problems in Engineering No. 2016 (2016), pp.1-18.
https://search.emarefa.net/detail/BIM-1111880
American Medical Association (AMA)
Jouzdani, Javid& Fathian, Mohammad. Hybrid Electromagnetism-Like Algorithm for Dynamic Supply Chain Network Design under Traffic Congestion and Uncertainty. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1111880
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111880