Quantitative Models for Operational Risk to Implement Tobacco Supply Chain Strategies

Author(s):  
Ying Su ◽  
Yang Lei ◽  
Xiaodong Huang ◽  
Yuangang Dai
Author(s):  
Esmaeel Moradi ◽  
Mohammad Reza Ghezel Arsalan ◽  
Ali Naimi Sadigh ◽  
Hamed Fallah Roshan Ghalb

Moreover, a wide review given by Terzi and Cavalieri (2004) on more than 80 papers about simulation in the supply chain context is used in this chapter. The main goal of this review is to determine which objectives simulation is used to solve the problems, which simulation models are more appropriate and useful for supporting the decision making in the supply chain.


Author(s):  
Diego Fernando Manotas-Duque ◽  
Juan Carlos Osorio-Gómez ◽  
Leonardo Rivera

Supply chain risk management processes are among the most important activities in the value chain of any industry. The supply chain risk management process includes different activities, focused on the identification, measurement, assessment, and mitigation of the main risk sources that can affect a supply chain. The increasing complexity facing global supply chains generates the need for suppliers to collaborate in different processes in a supply chain. In this context, Third Party Logistics Providers (3PL) have been widely promoted by the phenomenon of outsourcing, on which companies increasingly rely. The growth in logistics outsourcing is mainly attributed to the benefits it brings in terms of reducing costs, improving performance, allowing companies to focus on their core businesses and building virtual enterprises through strategic alliances. In this chapter we develop a model to identify the operational risk factors of a 3PL provider.


Author(s):  
Juan Carlos Osorio-Gómez ◽  
Diego Fernando Manotas-Duque ◽  
Leonardo Rivera-Cadavid ◽  
Ismael Canales-Valdiviezo

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