Supply chain operational transport planning by using an interactive fuzzy multi-objective linear programming approach

In this paper, we propose a new fuzzy multi-objective linear programming model (FMOLP) for the supply chain opera- tional transport planning problem that considers simultaneously the fuzziness in the aspiration levels and uncertainty in some cri- tical parameters such as transport capacity levels. We also present an interactive solution methodology to convert this FMOLP model into an auxiliary crisp single-objective linear model and to find a preferred compromise solution in an interactive fashion. We validated the proposed model and the solution methodology with a real-world automobile supply chain. The experimental results indicate that the proposed approach outperforms the heuristic decision-making procedure applied in the automobile supply chain under study.