Proceedings of The 10th International Conference on Research in Science and Technology
Bi-Objective Optimization Model for Efficient and Green Supply Chains
Tracey Tshivhase, Yasutaka Kainuma
The total costs of the supply chain are minimized with the help of a bi-objective optimization problem; nitrogen oxides are also minimized. The focus is on minimizing nitrogen oxides since these are the second well-known causes of Environmental decay after carbon dioxide. Nitrogen oxides are the common causes of reduced visibility in the atmosphere. The paper models a problem for cost minimization of facilities and transportation while also minimizing the nitrogen emissions from these facilities and transportation. The problem is modelled as a mixed integer linear program (MILP) and a genetic algorithm is used to solve the problem. This algorithm is tested on 11 different data sets that were randomly generated on MATLAB.
Keywords: Total costs, Transportation, Genetic algorithm, Nitrogen oxides.