Multi-Objective Optimization of Green Supply Chains considering Nitrogen Emissions

Proceedings of ‏The 3rd International Conference on Applied Research in Engineering, Science and Technology

Year: 2020

DOI:

[Fulltext PDF]

Multi-Objective Optimization of Green Supply Chains considering Nitrogen Emissions

Tracey Tshivhase, Yasutaka Kainuma

 

ABSTRACT: 

The total costs of the supply chain have always focused on generic costs such as fixed and variable costs of the factory and the transportation costs and sometimes the inventory holding costs. In the real world, there are high nitrogen oxides emissions during factory operation which are known to cause both health and environmental issues. These gases are released during production activities at the factory and also during transportation activities. A multi-objective optimization problem is used to minimize the total cost of the supply chain and the nitrogen oxides emissions. The paper attempts to model a supply chain problem for cost minimization while also considering the nitrogen oxides emissions from the facilities and transportation. The total costs of the supply chain are initially modelled as a MILP (Mixed Integer Linear Program). The full proposed linear program consisting of the two objective functions is finally solved with 11 different sets of randomly-generated data. The two objective functions were solved with a particle swarm optimization technique.

Keywords: Nitrogen oxides, Particle Swarm Optimization (PSO), Total Costs, MILP.