Metoda wielokryterialnej oceny produktywności

To improve their competitiveness Polish companies must increase their productivity. To achieve this goal by means of planned measures and ensure effective productivity control companies need fast and effective tools for measuring their productivity. Based on works of different authors it may be noticed that does not exist a single universal measurement for productivity of production systems. The productivity may be measured by application of a set of indices selected properly for particular needs of a company. However, simultaneous evaluation and analysis of many indices is difficult and complex. A multi criteria method for evaluation of productivity described in this paper allows aggregation of partial productivity measurements. The goal of the method is to create a synthetic productivity index composed of a number of partial measurements, to analyze a joint influence on productivity of the system or subsystem. The method is composed of four following steps: 1. Selecting of productivity indexes, to be included into the synthetic productivity index. 2. Selecting of normalizing functions. The normalizing function transforms initial value of an index into a value usually in the range between 0 and 10 (0 means "lowest possible'', 5 - "acceptable", and 10 - "excellence"). 3. Selecting of weighting factors. A value of each factor should reflect a relative significance of a particular factor in the synthetic index. 4. Calculation of the synthetic productivity index as a weighted average of normalized values of partial measurements. Values of the synthetic index may be analyzed to observe their trend or to compare a number of companies of the same industry. The multi criteria method for evaluation of productivity may be widen to cover other areas belonging to a company's Key Performance Factors. A synthetic efficiency index is calculated as a double weighted average - first in relation to normalized values of particular measurements characterizing each of the Key Performance Factors analyzed, secondly - in relation to individual synthetic values of each of the key factors.