**Time Factor in Operation Research Tasks for Smart Manufacturing** Time Factor in Operation Research Tasks for Smart

DOI: 10.5772/intechopen.73085

Leonid A. Mylnikov

Manufacturing

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Additional information is available at the end of the chapter Leonid A. Mylnikov

http://dx.doi.org/10.5772/intechopen.73085 Additional information is available at the end of the chapter

#### Abstract

The shift to the concepts Industry 4.0 and IIoT helps collect a vast amount of objective data about processes that take place in a production system, and thus, it creates background for taking advantage of theoretical results in practice; it is a trend towards synchronizing production system processes and external (market) processes in practice. In order for the target to be achieved, we use the methods that formalize management tasks in the form of predictive models, consider the cases with the computational solution of management models and decision making in production system tasks which are set based on time factor and are solved by approximate methods. We also take a look at the problems of probabilistic nature of gained decisions and address the cases, when by computational solution of tasks we need to take into account restrictions and select time step in order to obtain the decision in a table form of the function of time. The problems that we investigate help obtain and solve management tasks of production systems with help of forecasting data for a group of indices that are involved in decision making – this all helps enhance the sufficiency and quality of management decisions.

Keywords: production system, smart manufacturing, Industry 4.0, management, operation research, scheduling
