Batch processing is a much more effective method of processing large amounts of data. This entails the collection of data, which is then entered into the system, processed, and then come up with batch results. This data mainly comprises of a group of transactions accumulated over a specified time. Batch processing systems automatically execute jobs in a batch. This crucial function is performed by the batch monitor. On the other hand, real-time processing tends to be relatively fast and has a quick respondent system. It is applicable in situations where organizations deal with a large number of units that must be received, processed, and executed as soon as they arrive. Real-time processing requires an environment characterized by quick transactions and immediate responses. A proper example is RADAR, a defense application system. Each of these systems may be preferable, depending on the situation at hand.
The batch processing system is effective in jobs that have similar requirements and specifications. This is because these jobs can be batched together and then run through the computer as a group. It makes it easier to complete those tasks instead of working on each one of them one after the other. Batching the jobs together also saves time that would otherwise be used in executing single jobs at a time. It is also possible to collect data for a defined period of time and process it in batches (Matin et al., 2017). Jobs that require this kind of specification in terms of predetermined duration will efficiently and effectively use batch processing systems.
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Batch processing systems are also effective in situations or events that have no predetermined time limit. A set time limit will make it hard for a firm to use batch processing to complete a given task, especially when they do not have similar requirements. However, where there are no such limits concerning time, then batch processing is preferable. Unlike batch processing systems, real-time systems have to handle a process within a specified time limit, failure to which the system underperforms.
The batch processing system is effective in instances where one wants to deal with large, repeated works. Firms that deal with this kind of production processes will greatly benefit from using this processing system. With minimal user interaction, the system can automatically execute the specified function for a given time, be it day or night. This will ensure optimality of the production process and saves cost in terms of labor that would otherwise be employed to control the system. The idle time is also reduced significantly when this system is used. This is because the system is continuously executing the same function without necessarily stopping for lack of instruction. This again increases the production efficiency.
Batch processing systems are also preferable, where several users are sharing the same processing system. This is because batch processing systems have shareable functions among multiple users. Furthermore, batch processing systems can work in offline mode. This reduces the system’s stress on the processor, making it work even more efficiently when performing other functions. Batch processing is efficient for large organizations that handle large tasks since they can use the system to process these tasks (Matin et al., 2017). For example, banks make use of these systems to make monthly statements for each account holder. This system eases their work significantly.
In conclusion, batch processing systems are essential in the functioning and operation of most large organizations. They enable them to complete jobs in a timely and efficient manner. Though costly, they greatly contribute to the success of most large organizations.
Reference
Matin, H. N., Salmasi, N., & Shahvari, O. (2017). Makespan minimization in flowshop batch processing problem with different batch compositions on machines. International Journal of Production Economics , 193 , 832-844. https://doi.org/10.1016/j.ijpe.2017.09.015
