Glossary
Exception-Based Processing
Tags: Glossary
A computer term for applications that automatically highlight particular events or results that fall outside predetermined parameters. This saves considerable effort by automatically finding problems and alerting the right persons. An example would be when a shortage of an item on a purchase order receipt creates an automatic notification for the purchasing agent to follow up.
What is Exception-Based Processing?
Exception-Based Processing
Exception-based processing is a computer term that refers to applications designed to automatically identify and highlight events or results that deviate from predetermined parameters. This concept is widely used in logistics to streamline operations and improve efficiency. By automating the detection of problems or anomalies, exception-based processing saves considerable effort and ensures that the right individuals are promptly alerted.
In logistics, numerous activities and processes are involved in the movement and management of goods, from procurement to delivery. With the vast amount of data generated at each stage, it can be challenging to manually identify and address issues that may arise. This is where exception-based processing comes into play, providing a valuable tool to monitor and manage logistics operations effectively.
One common example of exception-based processing in logistics is the automatic notification triggered when a shortage of an item is detected on a purchase order receipt. In this scenario, the system compares the received quantity against the ordered quantity and identifies any discrepancies. If a shortage is identified, the purchasing agent responsible for the order is immediately alerted, allowing them to take appropriate action, such as contacting the supplier to resolve the issue.
By automating the identification of exceptions, logistics professionals can focus their efforts on resolving problems rather than spending valuable time manually searching for them. This not only saves time but also reduces the risk of errors or oversights that may occur when relying solely on human intervention.
Exception-based processing can be applied to various aspects of logistics, including inventory management, transportation, and order fulfillment. For instance, in inventory management, the system can be programmed to automatically generate alerts when stock levels fall below a certain threshold, ensuring timely replenishment and preventing stockouts. In transportation, exception-based processing can be used to monitor delivery schedules and identify any delays or deviations from the planned route, allowing for proactive intervention to minimize disruptions.
In addition to its efficiency benefits, exception-based processing also enhances decision-making in logistics. By providing real-time alerts and highlighting critical events, logistics professionals can make informed decisions promptly. This proactive approach enables them to address issues before they escalate, minimizing the impact on operations and customer satisfaction.
In conclusion, exception-based processing is a valuable concept in logistics that leverages computer applications to automatically identify and highlight events or results that deviate from predetermined parameters. By automating the detection of exceptions, logistics operations become more efficient, saving time and effort while ensuring prompt resolution of issues. This approach enhances decision-making and enables logistics professionals to proactively manage their operations, ultimately leading to improved customer service and overall supply chain performance.