Meta-heuristic Based Multi Objective Supply Chain Model for the Oil Industry in Conditions of Uncertainty

2021 ◽  
pp. 141-153
Author(s):  
Omid Abdolazimi ◽  
Ajith Abraham
Keyword(s):  
Supply Chain ◽  
Oil Industry ◽  
Chain Model ◽  
Multi Objective ◽  
Supply Chain Model

Multi-Objective Optimization of Economic and Environmental Aspects of a Three-Echelon Supply Chain

2019 ◽  
pp. 127-158
Author(s):  
Rajaram R. ◽  
Jawahar N. ◽  
S. G. Ponnambalam ◽  
Mukund Nilakantan Janardhanan
Keyword(s):  
Supply Chain ◽  
Co2 Emission ◽  
Chain Model ◽  
Supply Chain Network ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Environmental Objectives ◽  
Proposed Model ◽  
Supply Chain Model ◽  
Front Solutions

It is very relevant in today's competitive world for suppliers to ensure that customer-demanded products are made available. Customers expect to obtain a product that has benefits and are available within an acceptable price and time. It is necessary for companies to optimally use their ability to satisfy customers' specified needs. Researchers and industries are working on developing green supply chain concept in the last few years due to environmental concerns. The objective of this chapter is to propose a three-echelon supply chain model that optimizes economic and environmental objectives simultaneously. The objectives considered are minimizing the total supply chain cost and minimizing CO2 emission of the supply chain network. The proposed model falls into NP-hard category. Multi-objective genetic algorithm is proposed to solve the proposed model and illustration is provided to explain the use of the proposed model. A procedure that could be followed to find the best possible solution based on user's choice among the Pareto front solutions is also explained.

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