scholarly journals Traffic congestion is a risk factor for the supply chain Study case “FLORIS Distribution” in Tunisia

Author(s):  
Ines Afia ◽  
Jamel Neji
2011 ◽  
Vol 45 (1) ◽  
pp. 162-175 ◽  
Author(s):  
Yun Bai ◽  
Taesung Hwang ◽  
Seungmo Kang ◽  
Yanfeng Ouyang

2016 ◽  
Vol 2016 ◽  
pp. 1-18 ◽  
Author(s):  
Javid Jouzdani ◽  
Mohammad Fathian

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.


2017 ◽  
Vol 186 (5) ◽  
pp. 564-572 ◽  
Author(s):  
Meredith Pedde ◽  
Adam A. Szpiro ◽  
Sara D. Adar

2006 ◽  
Vol 30 (1) ◽  
pp. 67-71 ◽  
Author(s):  
Chang-Hoon Shin ◽  
Dong-Hun Jeaung ◽  
Min-Seung Choi

2017 ◽  
Vol 890 ◽  
pp. 012111
Author(s):  
Muhammad Zulqarnain Hakim Abd Jalal ◽  
Mohd Kamal Mohd Nawawi ◽  
Wan Laailatul Hanim Mat Desa ◽  
Ruzelan Khalid ◽  
Waleed Khalid Abduljabbar ◽  
...  

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