Integration of flexibility in reverse supply chain planning process

2020 ◽  
Vol 23 (2/3/4) ◽  
pp. 245
Author(s):  
Kanchan Das
Keyword(s):  
Supply Chain ◽  
Planning Process ◽  
Reverse Supply Chain ◽  
Supply Chain Planning

Relief Supply Chain Planning

2011 ◽  
pp. 31-44
Author(s):  
Ruth Banomyong ◽  
Apichat Sodapang
Keyword(s):  
Supply Chain ◽  
Planning Process ◽  
Real Life ◽  
Simulation Models ◽  
Illustrative Case ◽  
Chain Model ◽  
Supply Chain Planning ◽  
Real Life Situation ◽  
Illustrative Case Study ◽  
Relief Supply Chain

The purpose of this chapter is to provide a framework for the development of relief supply chain systems. An illustrative case study is presented in order to help relief supply chain decision makers in their relief supply chain planning process. Developing simulation models to test proposed relief supply chain response plans is much less risky than actually waiting for another disaster to happen and test the proposed relief supply chain model in a real life situation. The simulated outcome can then be used to refine the developed relief supply chain response model.

Integrated Business Planning Process: Link Between Supply Chain Planning and Financial Planning

2021 ◽  
pp. 149-158
Author(s):  
Mohamed Haythem Selmi ◽  
Zied Jemai ◽  
Laurent Gregoire ◽  
Yves Dallery
Keyword(s):  
Supply Chain ◽  
Financial Planning ◽  
Planning Process ◽  
Business Planning ◽  
Supply Chain Planning

Relief Supply Chain Planning

2012 ◽  
pp. 1069-1082 ◽  
Author(s):  
Ruth Banomyong ◽  
Apichat Sodapang
Keyword(s):  
Supply Chain ◽  
Planning Process ◽  
Real Life ◽  
Simulation Models ◽  
Illustrative Case ◽  
Chain Model ◽  
Supply Chain Planning ◽  
Real Life Situation ◽  
Illustrative Case Study ◽  
Relief Supply Chain

The purpose of this chapter is to provide a framework for the development of relief supply chain systems. An illustrative case study is presented in order to help relief supply chain decision makers in their relief supply chain planning process. Developing simulation models to test proposed relief supply chain response plans is much less risky than actually waiting for another disaster to happen and test the proposed relief supply chain model in a real life situation. The simulated outcome can then be used to refine the developed relief supply chain response model.

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