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{"ops":[{"insert":"Study the narrative that follows and draw an activity diagram.\n\nAn assembly robot, Fuji Automatic Numerical Control (FANUC) in a production line do many tasks with speed\nand precision, outperforming any human being. To do this they have a vision sensing system or machine vision,\nand a force sensing system, accompanied by incredible axes configurations, that can provide as many as six\naxes of motion.\nYour company was approached to develop a production control system (PCS) for FANUC, and you as an\nanalyst has been allocated the task of designing the software module that inspects the items for quality\npurposes. This means FANUC, through your control software, must pick items randomly from the production line\nand inspect them for completeness of manufacture. It is of note that \u2018pick\u2019 is not just a physical activity, but\nrather a process, consisting of sophisticated statistical procedures calculating randomness and it also involves\nthe vision component of the robot to identify an item on the production line.\nSo, the requirement is to develop a fully automated robot\/ \u201csystem\u201d that will inspect any item on the production\nline and communicate the quality results to a \u2018node\u2019 that is part of the PCS.\nThe process is as follows: FANUC will pick up an item, reads the universal product code (UPC) and convey this\ninformation to the PCS for validation purposes. If validated, the system will respond and inform FANUC to\nproceed. Otherwise it will inform FANUC to place it on the rejection conveyer belt.\nIf validated, FANUC will then inspect the item and calculate a status check. After this check, it will send the state\ninformation to the system. The system will update the database with the new information.\nIt will place the item back on the production line, picks up the next item, just to repeat the above procedure. At\nthe end of the day, it will send a production report to the system. The system will on its turn, send a copy to\nproduction management.\n"}]}

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