If earlier the number of orders received by the assembler

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At the warehouse was limited by the speed of work of human operators, now orders are formed automatically, almost instantly, and accumulate "in the warehouse". The number of orders processed per day is now limited only by the capabilities of the warehouse worker. The person sees a constant "order queue". His superiors also observe it, and habitually express dissatisfaction. Even if there is no negativity "from above", the person himself sees a constant "backlog", he has to work more than before. Of course, this is partially compensated by the salary increase.

But still, due to the increased workload, fatigue mexico whatsapp number data accumulates, including psychological fatigue. A person is not a machine, he cannot work perfectly day after day without breaks. Each person has a certain maximum - how many orders he can process per shift. As a result, warehouse workers start to quit one after another. Turnover occurs, leading to additional problems, delays in sending orders, errors related to the work of inexperienced and tired employees. Instead of the expected optimization of work, the company suffers losses and reputational damage. And all because, carried away by the beautiful "simplified" notation, the analyst and the company manager did not provide any mechanisms for regulating the speed of work, did not take into account how much the workload increases, i.

e. they perceived employees not as real people, but as abstract "business processes". Example 2. Taxi automation Today, we often hear talk about taxis operating without drivers in the near future. This is discussed by Uber and Yandex-taxi specialists. In principle, both of these companies are already moving towards automation and eliminating the human factor wherever possible. As a result, we can come to the following scheme: Order a taxi automatically, via a website or application, without the participation of a dispatcher. Delivering the client to the destination Payment – ​​automatically, from a bank card or online money after the trip based on GPS data.