In the face of challenges faced by today’s managers, such as unreliability of processes conducted

within the company, low quality of materials, too long time of fulfilling the customer

orders and missing the deadlines of their implementation, the role of dynamic parameters of

the warehousing as the source of competitive advantage of a modern enterprise is growing.

The aim of the study is to identify and analyze the factors determining the effective implementation

of the warehousing in the Distribution Center. In the research there has been

adopted the following hypothesis: with the increase in the number of customer orders, which

is characterized by an increasingly smaller number of assortment items, the importance of

managing constraints limiting the material flow within the warehousing is increasing. The

above-mentioned hypothesis is verified in accordance with the test procedure including literature

research and a case study. The research results show that the Theory of Constraints

is an excellent tool supporting the transformation of the warehouse management method.

With the help of the Theory of Constraints it is possible to determine precisely the places

in the material flow, where the adaptation actions undertaken bring down the greatest

effects.

The main objective of the research work was to identify the dimensions of complexity and study the relationship between these defined dimensions in the industrial automation sector. To achieve these objectives in the study, there was assumed the following major hypothesis: With the increasing role of dynamic cross-section of the complexity there is growing importance of relationship dimension for competitive advantage. In the study there were diagnosed four dimensions of complexity. Existence of the relationship between these four identified dimensions of complexity occurred by the use of the Fisher’s exact test, which is a variant of the test of independence ��2. Furthermore, there were calculated V-Cramer factors to estimate the intensity of the above-mentioned relationship between analyzed dimensions. The research discovered that the three out of four dimensions such as the number of elements, variety of elements and uncertainty depend on the last dimension of complexity which is the relationship between elements. In the turbulent environment there is a growing importance of the relationship dimension. It forms competitive advantage and is a key condition of success in creating a new type of modern enterprise strategy that occurs within complexity management in the industrial automation sector.