After a successful implementation of a new order processing system, the maintenance phase occurs to measure the program’s effectiveness. This step is critical to clarify if the quality of development efforts is appropriate for a system, and such key measurement indicators as failure quantity, types, and timing should be considered (Valacich & George, 2021). There are several methods for gauging effectiveness, including the mean time between failures (MTBF) metric calculation, failure examination, type tracking, and performance indicator comparison. MTBF aims at showing the period between the system’s errors, which must be increased with time, proving certain improvements within the field. An example of effectiveness is that employees are not able to identify MFBF clearly due to high system quality and low error indicators. If no positive changes are observed, the staff has to focus on the existing management problems and solve them.
The examination of failures is another method of measurement where people pay more attention to the types of errors and the inability to log the necessary information. Examples of effectiveness include using valuable information, training adequacy, and installation satisfaction (Valacich & George, 2021). There are also situations when it is necessary to track error types and choose the best solution methods. Christiansen (2020) offers to follow a reactive approach where the evaluation of cost and time is initiated and cost reduction is achieved. In general, key measurement indicators include the connection between inputs (resources), failures (processes), productivity (performance quality), and outputs (results). The major expectations are to expand time frames between errors, hire well-trained employees to manage all processes and analyze the conditions under which a new order processing system is launched and utilized.
References
Christiansen, B. (2020). How to measure the effectiveness of preventive maintenance. Processing.
Valacich, J. S., & George, J. F. (2021). Modern systems analysis and design (9th ed.). Pearson.