OPMA 405 MIDTERM EXAM QUESTIONS AND ANSWERS OPERATIONS MANAGEMENT STUDY
GUIDE 2026/2027 | COMPLETE MIDTERM REVIEW
Waiting Lines
(Queueing System Schematic) - ANS ✔✔1) Calling Population []
2) Arrival Process --> (Balk)
3) Queue Configuration [] (Renege)
4) Queue Discipline -->
5) Service Process []
6) Departure -->
7) No future need for service []
Calling Population - ANS ✔✔1) Subpopulation
- Finite
- Infinite
2) Homogeneous Groups
- Finite
- Infinite
, --> Most models assume homogeneous + infinite
--> Subpopulation characteristic of yield management industries
Arrival Process - ANS ✔✔1) Static:
- Random arrivals w/ constant rate (rare)
- Random arrival w/ varying rate (common)
2) Dynamic:
- Facility controlled: Accept/Reject, Price, Appointments
- Customer-exercised control: Reneging, Balking
--> Dynamic arrival means customers/company change their behaviour
4 ways we describe the Arrival Process? - ANS ✔✔1) Interarrival Time
2) Exponential Distribution
3) Poisson Distribution
4) Temporal Variation in Arrival Rates
Describe Interarrival Time - ANS ✔✔Time between arrivals --> modelled by exponential
distribution
- μ similar to σ
- # of customers = λ
- 1/λ = time between customers
- 2 equations
GUIDE 2026/2027 | COMPLETE MIDTERM REVIEW
Waiting Lines
(Queueing System Schematic) - ANS ✔✔1) Calling Population []
2) Arrival Process --> (Balk)
3) Queue Configuration [] (Renege)
4) Queue Discipline -->
5) Service Process []
6) Departure -->
7) No future need for service []
Calling Population - ANS ✔✔1) Subpopulation
- Finite
- Infinite
2) Homogeneous Groups
- Finite
- Infinite
, --> Most models assume homogeneous + infinite
--> Subpopulation characteristic of yield management industries
Arrival Process - ANS ✔✔1) Static:
- Random arrivals w/ constant rate (rare)
- Random arrival w/ varying rate (common)
2) Dynamic:
- Facility controlled: Accept/Reject, Price, Appointments
- Customer-exercised control: Reneging, Balking
--> Dynamic arrival means customers/company change their behaviour
4 ways we describe the Arrival Process? - ANS ✔✔1) Interarrival Time
2) Exponential Distribution
3) Poisson Distribution
4) Temporal Variation in Arrival Rates
Describe Interarrival Time - ANS ✔✔Time between arrivals --> modelled by exponential
distribution
- μ similar to σ
- # of customers = λ
- 1/λ = time between customers
- 2 equations