Optimization of logistics processes and activities in the function of supply-chain sustainability is a great challenge for logistics companies. It is necessary to rationalize processes in accordance with the strict requirements of the market, while respecting aspects of sustainability, which is not an easy task. Multicriteria decision making can be a tool that contributes to the optimization of logistics processes in terms of making the right decisions and evaluating different strategies in different logistics subsystems. In this paper, we considered the warehousing system as one of the most important logistics subsystems in a company. Conditions and the possibility of implementing barcode technology in order to optimize warehousing processes were evaluated. We formed a strengths, weaknesses, opportunities, and threats (SWOT) matrix consisting of a total of 27 elements. In order to determine the weights of all factors at the first level of decision making and its indicators at the second level of the decision making hierarchy, an original model was developed. This model involved the creation of a novel grey full-consistency method (FUCOM-G) and integration with a SWOT analysis. Since it was a matter of group decision making, we developed a novel grey Hamy aggregator that, by adequately treating uncertainties and ambiguities, contributed to making more precise decisions. The original grey FUCOM-SWOT model based on the grey Hamy aggregator represents a contribution to the entire field of decision making and optimization of logistics processes. Based on the applied model, the obtained results showed that Weaknesses, as part of the SWOT matrix, are currently the most dominant indicators, and that the implementation of barcode technology in a warehousing system is justified.

When defining criteria that have an influence on traffic accessibility in suburbs, it is necessary to take into account the specificity of a concrete urban unit. In existing scientific papers, the authors have dealt with the impact of the remoteness of settlements and their accessibility from the city center. The main aims of this paper are to define and quantify the criteria that have the greatest influence on traffic accessibility in suburban areas, that is, to develop a model of traffic accessibility. This model refers to traffic accessibility in suburban areas, where an urban public transport system is operational and represents a qualitative approach to research. Research has shown that factors such as a network of public transport (PT) lines, a network of accessible roads in a settlement, travel time, and timetables are of great importance in the description and generation of a new model. This model was tested in 23 suburban districts with regard to the needed walking time. The Fuzzy AHP (FAHP) method, one of the most popular methods for multi-criteria decision making, was used. Based on the results presented in this paper, it is expected that the application of this model will enable development and sustainability in suburban areas, as well as greater social equality and involvement of dwellers (especially the younger generation) in social activities, in view of achieving a better quality of life.

Each business faces large competition in the market, and it is necessary to adopt the most effective methodology as possible in order to obtain the best solution. Six Sigma (6σ) is a set of techniques and tools for process improvement. The tools of Six Sigma apply within a simple improvement model known as Define–Measure–Analyze–Improve–Control (DMAIC). This paper shows that implementing Six Sigma can be more effective in managing the vehicle fleet. The combination of mathematical, i.e., statistical basis and practice makes Six Sigma so successful. The Six Sigma project, implemented to reduce costs and increase the availability of a vehicle fleet in a selected company, can be widely applied in other similar enterprises.

Introduction/purpose: Progress of science and development of new technologies brings increased everyday use of goods with potential human safety and health hazards. The aim of this paper was to select a model for training individuals who are to perform the function of dangerous goods transport advisors in the Ministry of Defense (MD) and the Serbian Armed Forces (SAF). Methods: The problem was solved through the use of the AHP (Analytic Hierarchy Process) with ten subject-matter experts involved, who all contributed - within their individual competency level, with different individual weight of knowledge - to the final decision. Results: The stability of the final decision was confirmed with a dynamic sensitivity analysis through the use of Expert Choice 2000 software. Connclusion: The results of the conducted research favored the model by which the training should be conducted relying on one's own resources.

It is difficult to achieve rational engagement, directing and developing, motivating, rewarding, and improving organizational efficiency, without the evaluation of the quality of job performance of employees. In management literature, this technique is known as 'employee performance evaluation'. Performance or productivity may be either a measurable result that has been achieved, or behaviour or personal characteristics necessary for performing certain activities in a defined period of time. Recently, a special management approach 'performance management' has been developed, in order to integrate the performance evaluation and the use of assessment results in management, aimed at improving performance. Since the employee performance evaluation is most often the result of subjective judgment of an evaluator about the quality of his/her work, one has to take into account possible errors that characterize such a way of judging. There are several types of errors that an evaluator can commit during the performance evaluation process, and in this paper, an approach to the identification and reduction of distribution errors of evaluators, most widely spread in organizations with a large number of employees, has been presented.