The pasage below require analysis and breakdown

Decisions about waiting lines and the management of waiting lines are based on these averages for customer arrivals and service times. They are used in queuing formulas to compute operating characteristics, such as the average number of customers waiting in line and the average time a customer must wait in line (flylib n.d., p. 574). Waiting line models consist of mathematical formulas and relationships that can be used to determine the operating characteristics (performance measures) for a waiting line (Anderson, Sweeney, Williams, Camm, Cochran, Fry, & Ohlmann, 2016). Operating characteristics of interest include these:

The probability that no units are in the system (i.e., the system is idle)

The average number of units in the waiting line

The average number of units in the system (the number of units in the waiting line plus the number of units being served)

The average time a unit spends in the waiting line

The average time a unit spends in the system (the waiting time plus the service time)

Decisions about waiting lines and the management of waiting lines are based on these averages for customer arrivals and service times. They are used in queuing formulas to compute operating characteristics, such as the average number of customers waiting in line and the average time a customer must wait in line (flylib n.d., p. 574).

Waiting line models consist of mathematical formulas and relationships that can be used to determine the operating characteristics (performance measures) for a waiting line (Anderson, Sweeney, Williams, Camm, Cochran, Fry, & Ohlmann, 2016). Operating characteristics of interest include these:

The probability that no units are in the system (i.e., the system is idle)

The average number of units in the waiting line

The average number of units in the system (the number of units in the waiting line plus the number of units being served)

The average time a unit spends in the waiting line

The average time a unit spends in the system (the waiting time plus the service time)

The probability that an arriving unit must wait for service

Before returning to work, employees were notified they would have to submit to an entry health screening, wear a mask, and ask to abide by distancing guidelines. And if they had a fever or felt in any way sick to remain at home. Lastly, the employees entry into the office would be changed to avoid contact with patients, after acquiescing to an entry screening test that included a thermometer test before entry (CDC 2019). While this was, according to the CDC guideline, it would most likely create a waiting line circumstance; for both the employees and the customer waiting to be seen.

To avoid a waiting line situation, we implemented a plan to screen patience by phone, before their appointment. Only new exams would be performed in person, and all other examinations, including follow-ups or rechecks, would be performed via teleservices (i.e., Skype). Thus, eliminating the waiting line scenario and improving the appointment process time. Patients were asked to come to their appointment alone and to expect most of their examination via skype or some other electronic media. These new processes were established to limit exposure and prevent unwanted contact by staff.

Lastly, all patient medical history would be completed by phone before their appointments and paperwork limited if not eliminated. Furthermore, any questions related to COVIC-19 and how we would address any health concerns would be discussed during the phone call to ease any concerns. They were notified as well to arrive at the appointment alone and leave family members at home. But, if unable, family members would be expected to wait outside or in their vehicles.

question - This passage below require analysis and breakdown

passage -

Decisions about waiting lines and the management of waiting lines are based on these averages for customer arrivals and service times. They are used in queuing formulas to compute operating characteristics, such as the average number of customers waiting in line and the average time a customer must wait in line (flylib n.d., p. 574). Waiting line models consist of mathematical formulas and relationships that can be used to determine the operating characteristics (performance measures) for a waiting line (Anderson, Sweeney, Williams, Camm, Cochran, Fry, & Ohlmann, 2016). Operating characteristics of interest include these:

The probability that no units are in the system (i.e., the system is idle)

The average number of units in the waiting line

The average number of units in the system (the number of units in the waiting line plus the number of units being served)

The average time a unit spends in the waiting line

The average time a unit spends in the system (the waiting time plus the service time)

Decisions about waiting lines and the management of waiting lines are based on these averages for customer arrivals and service times. They are used in queuing formulas to compute operating characteristics, such as the average number of customers waiting in line and the average time a customer must wait in line (flylib n.d., p. 574).

Waiting line models consist of mathematical formulas and relationships that can be used to determine the operating characteristics (performance measures) for a waiting line (Anderson, Sweeney, Williams, Camm, Cochran, Fry, & Ohlmann, 2016). Operating characteristics of interest include these:

The probability that no units are in the system (i.e., the system is idle)

The average number of units in the waiting line

The average number of units in the system (the number of units in the waiting line plus the number of units being served)

The average time a unit spends in the waiting line

The average time a unit spends in the system (the waiting time plus the service time)

The probability that an arriving unit must wait for service

Before returning to work, employees were notified they would have to submit to an entry health screening, wear a mask, and ask to abide by distancing guidelines. And if they had a fever or felt in any way sick to remain at home. Lastly, the employees entry into the office would be changed to avoid contact with patients, after acquiescing to an entry screening test that included a thermometer test before entry (CDC 2019). While this was, according to the CDC guideline, it would most likely create a waiting line circumstance; for both the employees and the customer waiting to be seen.

To avoid a waiting line situation, we implemented a plan to screen patience by phone, before their appointment. Only new exams would be performed in person, and all other examinations, including follow-ups or rechecks, would be performed via teleservices (i.e., Skype). Thus, eliminating the waiting line scenario and improving the appointment process time. Patients were asked to come to their appointment alone and to expect most of their examination via skype or some other electronic media. These new processes were established to limit exposure and prevent unwanted contact by staff.

Lastly, all patient medical history would be completed by phone before their appointments and paperwork limited if not eliminated. Furthermore, any questions related to COVIC-19 and how we would address any health concerns would be discussed during the phone call to ease any concerns. They were notified as well to arrive at the appointment alone and leave family members at home. But, if unable, family members would be expected to wait outside or in their vehicles.

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