Perfection of Technical Service of Manufacturing Plants Equipment

Abstract

in the context of significant ware of manufacturing plants machines and equipment a big role belongs to coordination of technical service. Chief mechanical departments of industrial plants, engineering services of agricultural companies are not able to provide the whole range of high quality technical service. In the same time, the domestic market of industrial services which includes of aggregate of specialized companies providing industrial equipment repair services has necessary resources for providing quality repair and maintenance. Technical capacity of repair and maintenance companies also can be involved in maintaining operability of machines and equipment. But in case of outsourcing some volume of works, it is necessary to define what type of repair and maintenance works and what type of equipment can be outsourced. Finding decision to optimization task which consists in distributing repair and maintenance works of different complexity among existing levels of technical service can help distribute the volume of works in the best way. Possible losses of companies from underproduction during the time an outsourcing company performs services need to be taken into consideration. However, sometimes at some ratio of expenses on technical services and volume of expected losses the task does not have one decision. In this case, an additional criterion should be applied which is evaluating outsourcer’s service engineers qualification. The qualification can be defined by estimating the competence level according to a complex criteria which considers three aspects of this competence. Firstly, the degree of competence correspondence to the construction of machines and equipment under service. Secondly, the degree of competence correspondence to the technologies of technical service. Thirdly, the degree applied technical service techniques correspond to machines and equipment under service. This method of service engineers’ competence estimation can be used both by client and outsourcer companies.