Random processing times for scenarios with different number of sequential machines with different variations between pair of machines

<b>Description:</b>This random scenarios were generated by applying a normal distribution for processing time of machine 1 (p1). From p2 to pn (processing time of machine n), it was made a random variation up to more or less 20, 50 and 70% from the processing time of the previous machine. Further, the number of machines can be 5, 10 or 15.<br><b>Legend of the files names:</b>[number of machines][number of variation]_Scenarios.xlsxExample:- 0520_Scenarios.xlsx-- Scenarios with 05 machines with 20% of variation- 1550_Scenarios.xlsx-- Scenarios with 15 machines with 50% of variation<br><br><b>Legend of the files colums:</b>- First column is the number of the random scenario;- p1, p2, p3, ..., pn - refers to the processing time of the machine 1, 2, 3, ..., n.- peq - refers to an equivalent processing time, calculated according to [1].- U - number of items to be processed in the machines.<br>[1] da Silva, Ramon Gomes. (2019). Proposição de uma teoria empírica para estimativa de capacidade utilizando as técnicas de lot streaming. [Portuguese][Proposition of an empirical theory for capacity estimation using lot streaming techniques] (Unpublished master's thesis). Pontifical Catholic University of Parana, Curitiba, Brazil. doi:10.13140/RG.2.2.28913.12640. <br>