Analysis of the Production Capacity of a Packaging Machine in the Plastic Components Sector in a Company of the Manaus Industrial Complex

The industrial scenario demonstrates a production dispute not only with other companies competing in the market, but competition within the organization in order to demonstrate excellence in the production process. Establishing a correct manufacturing goal will aid in production planning, determine concise objectives with actual plant capability, and ensure that outliers are identified in advance for the correct solution and application of efforts to improve the process. These steps will ensure the correct evaluation of the plant before other business units, as well as stipulation measures that are adopted so as not to impair the real perception of the process and to consider the indicators without any margins of disagreement. The production to be studied comes from the work of packaging plastic components performed by a machine divided into two stages of operation, first manual and manufactured and then automated packaging. The production data is improved by shifts of eight hours through those used and subsequently entered into the company's database. In these, statistical tools will be used, helping to better compose the data, where a qualified sample is sought for the study, which through the OEE - Overall Equipment Effectiveness indicator provided in this set, will measure the efficiency through the indices of availability, quality and productivity and whether the disposition of values and their representativeness within what has been established is practicable. The grouping of generated data demonstrates a condition expected by the production team, but that only through numerical results can be explained, a target based on the nominal capacity of the machine does not represent the current state of the process and becomes infeasible to achieve the normal conditions of production. Consider a value below what was previously stipulated, non-demonstration to be an erroneous strategy because of the history of the demonstration process and also because the calculations demonstrated are in accordance with the reality and production volumes achieved. Understanding a real productive capacity and working on concise numbers will allow accurate decision making.