Production Preparation Options with 3P Logic

Why it matters

In this lesson, 3P is used in the sense of a production preparation process. The aim is not to copy the existing line at a smaller scale or to detail the first automation idea. It is to explore, through different physical solutions, how the transformation the product requires can be carried out. Questions such as how the part will be located, how the process energy will be applied, how the correct result will be verified and how the material will advance are handled together. A small change in the product design can sometimes reduce the need for expensive equipment. For this to happen, production, quality, maintenance, design and the worker who will do the job must discuss the same requirement. Solution details that are not yet verified are not turned into obligations through early purchasing.

Preparing three alternatives does not mean ranking different colors of the same machine or equivalent quotes from different suppliers. The options must carry a meaningful difference in the logic of how the work is done. A manual modular station, a semi-automatic cell and an integrated automatic layout can create different resource dependencies. In each of them, worker intervention, error detection, product changeover and resuming after a breakdown are different. The numerical comparison must make these differences visible. Writing only the purchase price is not enough. Supply, installation, maintenance access, spare parts, training and the need for change also determine how the investment will be used.

In the capacity calculation, human work content and product output interval are kept separate. If one worker serves more than one machine, each machine is not counted as if it had an independent worker. It must be shown that the work that can be done during the automatic process really fits into the same time interval. Durations cannot be overlapped unless the process priorities and the safe intervention conditions are met. The cycle of the fastest equipment does not represent the output of the whole line; a shared inspection or feeding resource can set a limit. In this way the speed promised by a technical quote is converted into the feasible capacity at system level. An acceptance that has not yet been tried stays as an explicit assumption.

The selection has two stages. First, feasibility is sought in terms of safety, quality, product compatibility and mandatory delivery conditions. Then the feasible options are compared on investment, workload, flexibility and economic result. Producing an average score by combining the high speed of an invalid option with low cost is not acceptable. On the other hand, it is not assumed either that the most expensive solution is automatically the most reliable. Low-cost trials reduce uncertainty before the irreversible part of a large investment. In this lesson, the decision is less about declaring a single winner than about justifying which two options will be taken to physical trial. The next lesson builds the rigs that will produce this evidence.

Formula