The algorithm of decision support in quality governance of the cable insulation manufacture

In this article the quality governance issue of the cable insulation manufacture at the micro level is considered. The existing approach, presented by scanning method, in this field is not effective enough, because it does not allow the decision maker (DM) to adequately assess the occurring economic costs. To address this problem the algorithm, optimizing this process, was developed. As an optimality criterion the gain, calculated as the difference between the economic benefit, resulting from regulation of technological process, and the cost of governance, was used. In turn evaluations of the economic benefit and the cost of governance have been made on the basis of the theory of fuzzy sets and fuzzy logic, that has allowed to adapt the decision making model to individual conditions of the industry members. Also the advantage of developed algorithm is its absolute convergence, which prevents to looping of the optimization process. Also the article presents the results of numerical simulations, where about one hundred quality governance experiments of cable insulation, using the developed optimization tool, were held. The simulation result is the dependence between average values of investigated criterion and test number, which confirmed the adequacy of developed information-analytical and governance solutions. The found solution corresponds to the extremum of the loss function and is the optimal. In compare with the existing approach of decision-making in this field the economic gain was 14,68 %. In doing so, depending on economic evaluations of the productivity and the cost of governance the results of the existing scanning method and the described algorithm may coincide, but generally the last one produce better results.