![]() For the second set of tables I omitted almost all topics that certain packs were not necessary for, i.e. I used two standard deviations in order to capture as much data as possible while excluding the total effects of the outliers. The second set of results tables takes the average of the necessary factories and adds an adjustable number of standard deviations. The first set of results tables at the top list the maximum number of science pack producing assemblers based on the pack being produced, assembler type, and the number of labs. The results were then sorted from high to low with the bias going Purple > Blue > Green > Red. The bottom table compiles a calculated number of assemblers needed for each type of assembler, subdivided by the number of laboratories, and then subdivided again for each science pack type. While the maximum packs per second per lab on the previous sheet was interesting, it is complicated by the fact that there are some large outliers and also by the different production speeds of different assemblers. The second sheet has the production analysis. This was done because it seemed to be the general consensus that they are the "correct" numbers of labs to have. The sheet is hard coded in many places assuming that the player is using either five or ten laboratories at any one time. The "Weighting" column was placed in anticipation of needing to tone down the effects of outliers, but was not used. ![]() The last table is total time in seconds to research a topic with either five or ten labs. It also contains a table of total research packs needed per topic (as well as a total of each type of pack on the top row) as well as a table of packs per second per lab for each topic (with the maximums on the top row). The first sheet of the workbook contains a table of research topics and their costs, research times, and number of cycles needed. Modules were neglected to avoid further complicating the analysis. The intention of these assumptions was to reduce the effect of backlogging, which may be unavoidable for the blue and especially purple science packs. Research is constantly being done without significant gaps between topics. ![]() The transportation of the packs to the labs is relatively short.Science pack assemblers are efficiently loaded and unloaded. ![]() Science pack assemblers are adequately supplied.I made a number of assumptions to make this analysis. The spreadsheet I made can be found here. Different research topics require different amounts of science packs, and don't take a uniform amount of time to process each step, so I did a bit of number crunching in Excel. What I have seen is the 5:6 red to green production ratio, and the general target of 1 pack per second, but I wanted to see if that was strictly necessary. I haven't found any information on how much science should be produced as a function of the number of labs you have. ![]()
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