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Optimizing the Use of Human Resources in Industrial-Service Enterprises

Tychoniuk A., Wyczółkowski R., Stuchlý V.

Multidisciplinary Aspects of Production Engineering

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2018

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Vol. 1, Iss. 1

857--865

EN

The optimal use of resources available in the enterprise is important regardless of the size of the company and the industry in which it operates. Enterprises are therefore forced constantly to make alternative choices related to the allocation of available resources and to optimize these choices. The article addresses the problem of the approach to optimizing the use of human resources particularly, the use of extra employee qualifications e.g., manual skills, pressure resistance, work precision, the ability to read schematic diagrams, etc. in the context of technical requirements for a given task. This is extremely important in the situation when subsequent works are individual and the conditions in which they will be performed, cannot be predicted in 100%, they may differ from those that have been implemented so far, and at the same time numerous orders of various nature are being implemented. In this situation, an accurate prediction of the requirements posed by new tasks and the appropriate selection of teams executing them can have an impact on the effectiveness of the task completion process. In the article, this problem is presented on the example of a medium-sized service enterprise operating in the industry-related sector operating basically on tender procedures and tender contests. The works are carried out on the customer's premises, often with new customers or in new field conditions. Thus, the success of the undertaking depends mainly on the optimal selection of employees with appropriate qualifications and competences. The example of an investment task is used to show a method of identifying characteristics relevant to the task as well as selection of employees in order to use the capabilities of human teams better. Technical aspects of task implementation and an employees team selection with regard to the absolutely required technical qualifications as well as the behavioral and physical skills necessary for its implementation are taken into account. The described method can be used for future tasks regardless of the changing conditions of their implementation. The intention of the authors is to develop a tool supporting the decision-making process in this area, so that it can also be used by managers with lower technical competences.

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FMEA analysis of combustion engine and assignment occurrence index for risk valuation

Poprocký R., Galliková J., Stuchlý V., Volna P.

Diagnostyka

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2017

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Vol. 18, No. 3

99--105

EN

The need for continuous improvement of product quality, reliability and safety arises and above all a company’s desire to improve its market position and customer satisfaction. These issues require product manufacturers to perform risk analyses that identify and minimize part/system failures throughout the product‘s life cycle. In the paper we will apply the Failure Modes and Effects Analysis (FMEA) for analysis of combustion engine failures. We analyzed 15 different types of cars in which the 2.0 TDI was equipped. On the basis of the obtained data, we evaluated the most disturbing parts of the combustion engine and on these elements we determined the probability of occurrence of a fault which is one of the factors determining the Risk Priority Number (RPN).

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Reliability evaluation as a means of increasing the efficiency of equipment maintenance

Stuchlý V., Poprocký R., Kaczmarek M.

Advances in Science and Technology. Research Journal

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2016

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Vol. 10, nr 32

40--46

EN

Quality assurance of production and the associated maintenance systems have changed a lot for recent decades and are subject to change requirements for reliability – Reliability and Availability of machinery and equipment subject to the optimal maintenance costs. The paper deals with design options and assessment of the maintenance system intended method of reliability-oriented maintenance and maintenance costs. They use the methods of statistical and probabilistic analyzes of data on failure mode of operation, as well as methods priori reliability. The emphasis is on cost-effectiveness evaluation.