The purpose of this study is to optical cable closure and fiber line monitoring system. The current optical cable closure cases have not had any systems that help the central control station recognize opening as well as closing the cases in real-time when opening B2B and B2C lines. to solve this problem, it is considered to create systems that go off alarms, real-time fault location immediately, set alarms for open and close monitoring optical cable closure, and inspect regularly whether optical cables are deficient when monitoring the optical line in real-time and cutting them, in this paper, the monitoring system whose the central control station finds an optical signal block immediately and goes off the alarms when line workers separate components like a connector or a tray from the optical cable closure through OTDR. this study can contribute to stabilize the network quality through the quick and effective operation of the cables.

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This study is to estimate the learning curve based on the consequences of reduced voice of customer from each telecommunication service products. We used Exponential Decay Model, which is the most popular among the learning curve models. We attempted to add how VOC changes in accordance with seasonal factors, human resource input, application of software, and the investment. The results of the empirical analysis of each service product as follows: First, as learning curve, customer complaints decreased. Second, human resource input, Network fault make increase or decrease customer complaints(VOC). Third, even though increasing the customer's quality of experience, VOC would not decrease due to service paradox. . .력성을 나타낼 수 있다 [17] .그림 2와 .

In this paper, we are aim to analysis the effects of optical cable fault on customer complaints. We considered several causes: the elapse time to allow repair from the optical cable fault, whether working day or not, seasonality and human error, external construction, optical cable cutting or core banding that is controllable causes and natural disasters, vehicle crash, fire that is uncontrollable causes. The results of analysis are as follows: First, customer complaints increase through indifferencial relationship when using the production function for the number of expected victims and elapsed time due to the optical cable fault. Second, not only the elapsed time but also controllable variables, human error, external construction, the core cut occurs, increased customer complaints due to optical cable faults.

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