## 3 Results
### Dataset  
For the experimental evaluation and comparison of the validity of the algorithm, 500 random situations or representative experiments were generated, in which an event triggers a loss of one or more lines during the process. A typical steel plant was considered, consisting of two2 converters, two refining furnaces, one RH degasser station and two continuous castings, being each one different from the other. The main characteristics of the process were defined analogously to normal operation in a steel plant using the following premises:  
* Each continuous casting machine was assumed to process 12 to 16 casts continuously and uninterruptedly. The two machines were considered capable of casting different types of steel, being incompatible with each other and obtaining from one of them billets as semi-products, with six casting lines, and blooms from the other, with three casting lines. * Seven different classes of steels were considered, representing their families. Five of these classes come from the billet machine, each one having its own casting speed, according to the characteristics of the machine and the steel class itself. The remaining two families are obtained from the bloom machine, also representing a different width format, and therefore, also a different casting speed. * A machine casting time was set for each heat; this varies depending on the quality of the product and the number of lines available. A maximum ladle time in tundish was also assumed to prevent cold steel closures. * It was considered as a rule that a tundish is sequential with the previous one if the heats share the same quality and therefore can be cast consecutively without degradation of quality. * It was also considered that a certain heat is reapplicable if its composition at time T is such that, by means of additions, a new steel composition compatible with a change in the objective of quality of the heat can be achieved. * A stipulated fixed time was defined for machine reset, also considering that it takes time to warm up the tundish before starting any sequence. If the interruption occurs at the end of the sequence, the tundish warm-up will have already started. Supplementary Materials shows the 500 random situations that have been carried out, trying to make this sample as complete as possible, including cases that cover different situations in the workshop and showing the data entered in the program during step 1. The generation of the 500 cases is made randomly, defining the following premises:  
* No. of heats in tundish: Random number between 1 the total number of heats of the tundish. * Total heats in tundish: Random number between 12 and 16, according to the normal operation of the steel mill. * Number of active lines after T (L): Random number between 0 and 2 for Bloom Tundish and between 0 and 5 for Billet Tundish. * Weight of laddle in T (Tn): The weight was considered as a random number between 5 (weight of a ladle at the end of the continuous casting phase and to be replaced by the next one) and 115 (weight of a ladle at the beginning of its continuous casting phase). * Quality of the tundish: The different types of steel were numbered (7), and a random number between 0 and 7 was obtained to represent the quality of the tundish. * Quality of the next tundish: The different types of steel were numbered (7), and a random number between 0 and 7 was obtained to represent the quality of the next tun-dish. * N + 1 heat repapplicability: Always Yes if the N heat is last of tundish (and therefore, the initial programming for this heat is maintained, regardless of the machine), otherwise Yes or No randomly. * N + 2 heat repapplicability: Always Yes if the N + 1 heat is reapplicable or if the Heat N is the penultimate of the tundish. Otherwise, Yes or No randomly. * Tundish warm-up time (min): If the N heat is before the last 3 of the tundish, 0 (warm-up has not started yet).