TY - JOUR N2 - The specificity of tool provisioning is conditioned using tooling, the quantity of which exceeds the nomenclature of the manufactured goods considerably. Therefore, for modern enterprises, first-priority issues are harmonizing the processes of tool provisioning systems, increasing the level of the reaction of this system to changes, obtaining operational control over the production system, and, thus, improving the efficiency of the production process. In this paper, a mathematical model of decision-making based on determining the optimal strategy for the process flow was proposed to improve the efficiency of the information system for quality management of tool provisioning. It is suggested to use the sustainable development factor of information system for quality management of tool provisioning to make decisions about the path of the tooling process, which considers the requirements of international standards for management systems (ISO 9001, ISO 45001, etc.). This model is based on the application of graph optimization theory, fuzzy logic, and Markov chains. The use of this model is universal and will increase the validity of operational management decisions, increase productivity, reduce resource dependency, and, therefore, reduce the costs of tool provisioning, which directly affects the cost of production and competitiveness of the enterprise as a whole. L1 - http://www.czasopisma.pan.pl/Content/119026/PDF/1-598.pdf L2 - http://www.czasopisma.pan.pl/Content/119026 PY - 2020 IS - No 4 DO - 10.24425/mper.2020.136115 KW - tool provisioning KW - information system KW - decision making KW - optimization KW - sustainable development A1 - Denysenko, Yuliia A1 - Ivanov, Vitalii A1 - Luscinski, Slawomir A1 - Zaloga, Viliam PB - Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management VL - vol. 11 DA - 30.12.2020 T1 - An integrated approach for improving tool provisioning efficiency UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/119026 T2 - Management and Production Engineering Review ER -