- published: 29 Jan 2010
- views: 206197
Queue areas are places in which people queue (first-come, first-served) for goods or services. Such a group of people is known as a queue (British usage) or line (American usage), and the people are said to be waiting or standing in a queue or in line, respectively. (In the New York City area, the phrase on line is often used in place of in line.)
Examples include checking out groceries or other goods that have been collected in a self service shop, in a shop without self-service, at an ATM, at a ticket desk, a city bus, or in a taxi stand.
Queueing is a phenomenon in a number of fields, and has been extensively analysed in the study of queueing theory.
In economics, queueing is seen as one way to ration scarce goods and services.
Organized queue areas are commonly found at amusement parks. The rides have a fixed number of guests that can be served at any given time, so there has to be some control over additional guests who are waiting. This led to the development of formalized queue areas—areas in which the lines of people waiting to board the rides are organized by railings, and may be given shelter from the elements with a roof over their heads, inside a climate-controlled building or with fans and misting devices. In some amusement parks – Disney Parks being a prime example – queue areas can be elaborately decorated, with holding areas fostering anticipation, thus shortening the perceived wait for people in the queue by giving them something interesting to look at as they wait, or the perception that they have arrived at the threshold of the attraction.
Lecture series on Advanced Operations Research by Prof. G.Srinivasan, Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Queueing Systems in Healthcare (Part 2) The second of four videos I have made primarily for the purposes of the 2014 EURO Summer Institute on OR applied to Health in a Modern World. Accompanying notes and resources available at www.profpaulharper.com/esi
Topics covered in this video: - Introduction to queueing systems (components, notations, formulas, etc.) - Approximation queueing models - Typical performance metrics in queueing analysis - Jackson Network and it's assumptions
Operating Systems 7.1 - Queueing Theory (Birth Death processes)
In this Wolfram Technology Conference presentation, Devendra Kapadia gives an introduction to queueing theory and discusses the functions available in Mathematica for the simulation and performance analysis of single queues and open or closed queueing networks. For more information about Mathematica, please visit: http://www.wolfram.com/mathematica
Stochastic Processes by Dr. S. Dharmaraja, Department of Mathematics, IIT Delhi. For more details on NPTEL visit http://nptel.iitm.ac.in
Dr. David Stanford of the University of Western Ontario demonstrates how queueing theory can influence wait times and how simple changes can have a big impact on reducing them.
Silent night, holy night,
All is calm, all is bright
Round yon virgin mother and child.
Holy infant so tender and mild,
Sleep in heavenly peace.
Sleep in heavenly peace.
Silent night, holy night,
Shepherds quake at the sight,
Glories stream from heaven afar,
Heavenly hosts sing alleluia;
Christ the Savior, is born!
Christ the Savior, is born!
Silent night, holy night,
Son of God, love's pure light
Radiant beams from thy holy face,
With the dawn of redeeming grace,
Jesus, Lord, at thy birth.