In today´s complex business environments, the optimization of operational processes is an essential factor for the survival of organizations. Many companies struggling to keep competitiveness, search for better operational methods and models to minimize costs and improve market service level. In those companies, the coordination of manufacturing and logistics activities is critical. The integration and synchronization of these activities is the alternative that those companies need to improve their operational performance and, consequently, increase customer service level. This Thesis contributes to that approach, proposing and evaluating new heuristic methods to solve the problem of scheduling production and distribution operations in no-wait flow shop systems integrated to transport systems which operate different distribution strategies. The proposed methods ( − , 1 , 2 ) implement algorithms based on IG, ILS, SA and VNS metaheuristics which schedule manufacturing and transportation tasks jointly. Minimum total flow time is the main optimization criterion.The problem studied herein is based on a real case from electronic goods industry.The analysis of experimental results demonstrates the potential of the methods for solving the approached problem. Specifically, the 2 method obtained the best results, improving the quality of the initial solution by up to 16% for small instances and 11% for larger instances. The study also verified a hypothesis proposed to improve the quality of the solutions generated by the heuristic methods which has proved to be true for most of the experiments.