The goal of this research is to develop a novel multi-objective mathematical model in a green supply chain network consisting of manufacturers, distribution centers and dealers in an automotive manufacture case study. The main objectives considered are: minimizing the costs of production, distribution, holding and shortage cost at dealers as well as minimizing environmental impact of logistic network. In addition to minimizing the costs and environmental impacts particularly the emission of CO2, the model can determine the green economic production quantity using Just-In-Time logistics. Furthermore, multi-objective genetic algorithm is applied in order to minimize these two conflicting objectives simultaneously. Finally, the performance of the proposed model is evaluated by comparing the obtained Pareto fronts from Moga and goal attainment programing solver in Matlab.
|Number of pages||6|
|Publication status||Published - 2015|
|Event||12th Global Conference on Sustainable Manufacturing, GCSM 2014 - Johor Bahru, Malaysia|
Duration: 22 Sep 2014 → 24 Sep 2014