Abstract- This paper presents a concise conversation on the significant concerns in logistics management and squabbles that metaheuristics can cooperate an significant responsibility in solving complex logistics problems derived from designing and running logistics actions within the supply chain as a distinct creature. Among several probable metaheuristic approaches, we will hub predominantly on iterated local search, tabu search and scatter search as the methods with the furthermost potential for resolving logistics management related problems. We also momentarily present some flourishing applications of these methods.In today’s extremely cutthroat global market place, the difficulty on organizations to hit upon new methods to build value and transport it to their customers extends ever tough. In the last two decades, the logistics utility has budged to hub stage. There has been a maturing detection that valuable logistics management throughout the firm and supply chain can greatly support in the aim of cost decline and once-over augmentation. The solutions to success in logistics management necessitate profound emphasis on integration of activities, cooperation, coordination and information giving out throughout the firm and the entire supply chain, from suppliers to customers. To be able to react to the confront of integration, contemporary businesses need sophisticated decision support systems based on influential mathematical models and clarification techniques, jointly with proceeds in information and communiqué technologies. Both engineering and academe similar have befall ever more concerned in by means of logistics management as a means of retorting to the troubles and concerns charaded by alters in the logistics function.