A production and distribution framework: Manufacturer dominates

• The field of the study is optimization supply chain organization. We consider a cooperation model between manufacturer and 3PL provider. want to minimize inventory costs, transportation costs tardiness penalty costs. propose MILP models three metaheuristic resolution methods compare them. This paper presents two-stage problem at operational level involving third-party logistics provider (3PL provider). integrated consists two subproblems: An m -machine permutation flow shop with considerations for routing Both agents face in case late delivery customer locations. Assuming imperfect information sharing independence their own decisions, we investigate scenario which dominates negotiation. In this scenario, imposes number composition vehicles as well vehicle departure dates on However, lacking regarding actual times he forced estimate locations context his planning. Following planning manufacturer, decides optimal vehicles. aim minimise total After formulating problems mixed integer linear program, algorithms are proposed solve scenario. performance heuristics evaluated set randomly generated instances. results show that genetic algorithm best performing method.