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To solve specific complex logistics tasks, for example, the creation of models of operational production plans, especially if the role is large, given by a large number of machines and equipment involved in production processes, a wide range of products, a long production cycle, the plan is being prepared for several planning periods, pass through several production segments and need to coordinate these plans, the model must respect different types of constraints, etc., then it is difficult or sometimes impossible to create a mathematical model. To adapt the problem to some known mathematical model, e.g. linear optimization model, or the dynamic programming model, which at first glance are addressing the solution /, i.e., Its idealization often leads to the neglect of the essential features of the modelling problem, thereby reducing the practical usability of the results obtained through such models [1]. But people, logistics, planners, managers, solve such problems routinely in business management. One and often the only option to solve such problems is to model the procedures for solving these expert-heuristic approaches, using the appropriate exact models and the possibilities of computer science in those activities where its strength is greater than the force of man. The article has a theoretical character, but it is a generalization of dozens of solved logistics through a heuristic approach in practice. [2] The article defines the properties of the heuristic models, it compares them with exact methods, it defines common characteristics and differences. The exact and heuristic methods are not in an antagonistic relation; on the contrary, the heuristic methods after a proposal, are applied on the principle of” precision lead method “as an exact method. The heuristic approach combines the strong stand of the both methodologies. From heuristic methodology, this is especially modelling of decision-making processes and creative aspects of solution, from the exact methodologies it is performance of information systems.

Keywords: Heuristics, model, decision-making, assignment problem

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