4.5.4. Scenario 4

When the constraint occurs, operations on machine M1 have been completed and the machine is in the "Idle" state. However, in the considered scenario, the power constraint was so high (with the 30 kW available power reduction) that no machine could complete the production process. Therefore, all machines entered the "Idle" state and waited for the release of the power limitation to continue the technological operations. Table 10 shows the production process factors associated with the power limitation.

**Table 10.** Production process factors for scenario 4.


The results obtained in the scenario of waiting for the release of the power limitation to continue the production process are also presented in each previous scenario when the power curtailment was 20 kW. Likewise in this scenario, there was a significant increase in the duration of the production process of 113.4 min, which was simultaneously associated with an increased electricity consumption of 260.25 kWh. The production rates in the form of efficiency of the machines used in the process were also at a low level and ranged from 39.06% (for machines M1 and M4) to 76.56% (for machine M3).

### *4.6. Recommendations for the Production Process Activities*

The simulations examined four key event scenarios possible for the enterprise. The results were analyzed and provided to the enterprise with recommendations. The best results in terms of reducing production order, lead time extension, and energy consumption were obtained in scenario 3. This solution subordinates power allocation to resources, prioritizing the bottleneck of the process, identified from the point of view of the production organization. The company's managemen<sup>t</sup> has to make a decision taking into account both criteria from the production organization (shorter order processing time, less load on machines and employees, no overtime) and energy consumption analysis (reduction of energy consumption). These factors have a direct impact on reducing the costs of business. The paper did not take into account any classified information (e.g., legal provisions) that may affect the decisions made by the management, hence the interpretation of the results obtained from the simulation led to the establishment of recommendations for the enterprise.

At the same time, as part of the model building and validation process, the introduction of appropriate values of process parameters was checked and verified, corresponding to the given assumptions, requirements, and limitations of the tested production process.
