Managing Waiting Lines Learning Objectives • • • • Describe how queues form. Apply Maister's two “laws of service.” Discuss the psychology of waiting. Describe the essential features of a queuing system. • Explain the equivalence of Poisson arrival rates and exponential time between arrivals Lines and Waiting “Every day I get in the queue, that waits for the bus that takes me to you …” Pete Townshend, Magic Bus Where the Time Goes In a life time, the average American will spend-SIX MONTHS Waiting at stoplights EIGHT MONTHS Opening junk mail ONE YEAR Looking for misplaced 0bjects Unsuccessfully returning TWO YEARS phone calls FOUR YEARS FIVE YEARS SIX YEARS Doing housework Waiting in line Eating Cultural Attitudes • “Americans hate to wait. So business is trying a trick or two to make lines seem shorter…” The New York Times, September 25, 1988 • “An Englishman, even when he is by himself, will form an orderly queue of one…” George Mikes, “How to be an Alien” • “In the Soviet Union, waiting lines were used as a rationing device…” Hedrick Smith, “The Russians” Waiting Realities • Inevitability of Waiting: Waiting results from variations in arrival rates and service rates • Economics of Waiting: High utilization purchased at the price of customer waiting. Make waiting productive (salad bar) or profitable (drinking bar). Laws of Service • Maister’s First Law: Customers compare expectations with perceptions. • Maister’s Second Law: Is hard to play catch-up ball. • Skinner’s Law: The other line always moves faster. • Jenkin’s Corollary: However, when you switch to another other line, the line you left moves faster. Remember Me • I am the person who goes into a restaurant, sits down, and patiently waits while the wait-staff does everything but take my order. • I am the person that waits in line for the clerk to finish chatting with his buddy. • I am the one who never comes back and it amuses me to see money spent to get me back. • I was there in the first place, all you had to do was show me some courtesy and service. The Customer Psychology of Waiting • That Old Empty Feeling: Unoccupied time goes slowly • A Foot in the Door: Pre-service waits seem longer that in-service waits • The Light at the End of the Tunnel: Reduce anxiety with attention • Excuse Me, But I Was First: Social justice with FCFS queue discipline • They Also Serve, Who Sit and Wait: Avoids idle service capacity Approaches to Controlling Customer Waiting • Animate: Disneyland distractions, elevator mirror, recorded music • Discriminate: Avis frequent renter treatment (out of sight) • Automate: Use computer scripts to address 75% of questions • Obfuscate: Disneyland staged waits (e.g. House of Horrors) The Art of Service Recovery “To err is human; to recover, divine” • • • • • • • Measure Cost of Lost Customer Listen Carefully Anticipate Need for Recovery Act Fast Train Employees Empower the Frontline Inform Customers of Improvement Essential Features of Queuing Systems Renege Calling population Arrival process Balk Queue configuration Queue discipline Service process Departure No future need for service Arrival Process Arrival process Static Dynamic Random arrivals with constant rate Random arrival rate varying with time Facilitycontrolled Accept/Reject Price Appointments Customerexercised control Reneging Balking Relative frequency, % Distribution of Patient Interarrival Times 40 30 20 10 0 1 3 5 7 9 11 13 15 17 19 Patient interarrival time, minutes Temporal Variation in Arrival Rates Percentage of average daily physician visits Average calls per hour 3.5 3 2.5 2 1.5 1 0.5 0 1 3 5 7 9 11 13 15 17 19 21 23 Hour of day 140 130 120 110 100 90 80 70 60 1 2 3 Day of week 4 5 Poisson and Exponential Equivalence Poisson distribution for number of arrivals per hour (top view) 1 Arrival 2 Arrivals 0 Arrivals 1 Arrival One-hour interval 62 min. 40 min. 123 min. Exponential distribution of time between arrivals in minutes (bottom view) Queue Configurations Multiple Queue Single queue Take a Number Enter 3 4 8 2 6 10 12 11 5 7 9 Queue Discipline Queue discipline Static (FCFS rule) Dynamic Selection based on individual customer attributes selection based on status of queue Number of customers waiting Round robin Priority Preemptive Processing time of customers (SPT rule) Relative frequency, % 15 10 5 0 1 11 21 31 Minutes 41 Relative frequency, % Relative frequency. % Outpatient Service Process Distributions 15 10 5 0 1 11 21 31 Minutes 15 10 5 0 1 11 21 31 Minutes 41 41 Service Facility Arrangements Service facility Server arrangement Parking lot Self-serve Cafeteria Servers in series Toll booths Servers in parallel Supermarket Self-serve, first stage; parallel servers, second stage Hospital Many service centers in parallel and series, not all used by each patient Topics for Discussion • Suggest some strategies for controlling variability in service times. • Suggest diversions that could make waiting less painful. • Select a bad and good waiting experience, and contrast the situations with respect to the aesthetics of the surroundings, diversions, people waiting, and attitude of servers. • Suggest ways that management can influence the arrival times of customers. • What are the benefits of a fast-food employee taking your order while waiting in line? Interactive Exercise The class breaks into small groups with at least one international student in each group, if possible. Based on overseas travel, each group reports on observations of waiting behavior from a cultural perspective. Eye’ll Be Seeing You • How are Maister’s First and Second Laws of Service illustrated? • What good and bad features of a waiting process are evident? • How should Dr. X respond to Mrs. F’s letter? • How could Dr. X prevent future incidents? • Should customers be rewarded for offering constructive criticism? Pronto Pizza • Draw a process flow diagram and identify the bottleneck operation. • Calculate the expected waiting time in the order preparation queue. Compare this value with your simulation result. • Use the ServiceModel computer simulation software and the Pronto.pkg file to determine the number of drivers that minimizes the total cost of salaries and guarantee discounts. Pronto Pizza (cont.) • Based on your simulation recommended staffing level, what is the probability of paying off on the guarantee? • What do you think of this service guarantee policy? • What other design or operating suggestions could improve Pronto Pizza’s performance and customer service?