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Chapter 9: Balancing Demand and Productive Capacity Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 1 Overview of Chapter 9 1. Key Source of Problem: Demand-Supply Gap 1. Demand: Fluctuations in Demand 2. Supply: Capacity-Constrained Service Organizations 2. Patterns and Determinant of Demand 3. Managing Demand Levels 4. Inventory Demand through Waiting Lines and Reservations 5. Minimize Perceptions of Waiting Time 6. Create an Effective Reservations System Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 2 1. Fluctuations in Demand Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 3 From Excess Demand to Excess Capacity Four conditions potentially faced by fixed-capacity services:  Excess demand  Too much demand relative to capacity at a given time  Demand exceeds optimum capacity  Upper limit to a firm’s ability to meet demand at a given time  Optimum capacity  Point beyond which service quality declines as more customers are serviced  Excess capacity  Too much capacity relative to demand at a given time Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 4 Variations in Demand Relative to Capacity (Fig 9.1) VOLUME DEMANDED Demand exceeds capacity (business is lost) CAPACITY UTILIZED Maximum Available Capacity Demand exceeds optimum capacity (quality declines) Optimum Capacity (Demand and Supply Well Balanced) Excess capacity Low Utilization (May Send Bad Signals) (wasted resources) TIME CYCLE 1 Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E TIME CYCLE 2 Chapter 9 - 5 Addressing Problem of Fluctuating Demand Two basic approaches:  Adjust level of capacity to meet demand  Need to understand productive capacity and how it varies on an incremental basis  Manage level of demand  Use marketing strategies to smooth out peaks, fill in valleys  Many firms use a mix of both approaches Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 6 2. Many Service Organizations Are Capacity Constrained Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 7 Defining Productive Capacity in Services 1. Physical Capacity  Physical facilities to contain customers  Physical facilities to store or process goods  Physical equipment to process people, possessions, or information  Public/private infrastructure 2. Labor Capacity  Labor used for physical or mental work Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 8 Alternative Capacity Management Strategies  Level capacity (fixed level at all times)  Stretch and shrink  Offer inferior extra capacity at peaks (e.g., bus/train standees)  Vary seated space per customer (e.g., elbow room, leg room)  Extend/cut hours of service  Chase demand (adjust capacity to match demand)  Flexible capacity (vary mix by segment) Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 9 Adjusting Capacity to Match Demand  Schedule downtime during periods of low demand  Rent or share extra facilities and equipment  Ask customers to share  Invite customers to perform self-service  Cross-train employees*  Use part-time employees* Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 10 3. Patterns and Determinants of Demand Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 11 Predictable Demand Patterns and Their Underlying Causes (Table 9.1) Predictable Cycles of Demand Levels      day week month year other Slide © 2007 by Christopher Lovelock and Jochen Wirtz Underlying Causes of Cyclical Variations  employment  billing or tax payments/refunds  pay days  school hours/holidays  seasonal climate changes  public/religious holidays  natural cycles (e.g., coastal tides) Services Marketing 6/E Chapter 9 - 12 Causes of Unpredictable Changes in Demand Levels  Weather  Health problems  Accidents, Fires, Crime  Natural disasters Question: Which of these events can be predicted? Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 13 Analyzing Drivers of Demand  Understand why customers from specific market segments select this service  Need Qualitative Studies  Keep good records of transactions to analyze demand patterns  Sophisticated software can help to track customer consumption patterns  Record weather conditions and other special factors that might influence demand Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 14 4. Managing Demand Levels Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 15 Alternative Demand Management Strategies (Table 9.2)  Reduce demand  Higher prices  Communication promoting alternative times  Increase demand     Lower prices Communication, including promotional incentives Vary product features to increase desirability More convenient delivery times and places  Inventory demand by reservation system  Inventory demand by formalized queuing Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 16 Marketing Strategies Can Reshape Some Demand Patterns  Use price and other costs to manage demand  Change product elements  Modify place and time of delivery  No change  Vary times when service is available  Offer service to customers at a new location  Promotion and education Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 17 Hotel Room Demand Curves by Segment and Season (Fig 9.3) Price per room night Bl Bh Bh = business travelers in high season Th Bl = business travelers in low season Tl Th = tourist in high season Tl = tourist in low season Bl Bh Th Tl Quantity of rooms demanded at each price by travelers in each segment in each season Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Note: hypothetical example Chapter 9 - 18 5. Inventory Demand through Waiting Lines and Reservations Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 19 Why Do Waiting Lines Occur?  Because the number of arrivals at a facility exceeds capacity of system to process them at a specific point in the process  Queues are basically a symptom of unresolved capacity management problems Not all queues take form of a physical waiting line in a single location Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 20 Saving Customers from Burdensome Waits  Add extra capacity so that demand can be met at most times (problem: may increase costs too much)  Rethink design of queuing system to give priority to certain customers or transactions  Redesign processes to shorten transaction time  Manage customer behavior and perceptions of wait  Install a reservation system Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 21 Alternative Queuing Configurations (Fig 9.5) Single line, single server, single stage Single line, single servers, sequential stages Parallel lines to multiple servers Designated lines to designated servers Single line to multiple servers (“snake”) 28 “Take a number” (single or multiple servers) Services Marketing 6/E 24 26 27 32 Slide © 2007 by Christopher Lovelock and Jochen Wirtz 21 20 25 30 31 29 23 Chapter 9 - 22 Criteria for Allocating Different Market Segments to Designated Lines  Urgency of job  Emergencies versus non-emergencies  Duration of service transaction  Number of items to transact  Complexity of task  Payment of premium price  First class versus economy  Importance of customer  Frequent users/high volume purchasers versus others Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 23 6. Minimize Perceptions of Waiting Time Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 24 Ten Propositions on Psychology of Waiting Lines (1) (Table 9.3) 1. Unoccupied time feels longer than occupied time* 2. Pre- and post-process waits feel longer than inprocess waits 3. Anxiety makes waits seem longer 4. Uncertain waits are longer than known, finite waits* 5. Unexplained waits are longer than explained waits* Sources: Maister; Davis & Heineke; Jones & Peppiatt Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 25 Ten Propositions on Psychology of Waiting Lines (2) (Table 9.3) 6. Unfair waits are longer than equitable waiting 7. People will wait longer for more valuable services 8. Waiting alone feels longer than waiting in groups 9. Physically uncomfortable waits feel longer* 10.Waits seem longer to new or occasional users Sources: Maister; Davis & Heineke; Jones & Peppiatt Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 26 7. Create An Effective Reservation System Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 27 Characteristics of Well-Designed Reservations System  Fast and user-friendly for customers and staff  Answers customer questions  Offers options for self service (e.g., the Web)  Accommodates preferences (e.g., room with view)  Deflects demand from unavailable first choices to alternative times and locations  Includes strategies for no-shows and overbooking  Requiring deposits to discourage no-shows  Canceling unpaid bookings after designated time  Compensating victims of over-booking Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 28 Setting Hotel Room Sales Targets by Segment and Time Period (Fig.9.7) Capacity (% rooms) 100% Week 7 Week 36 (Low Season) (High Season) Out of commission for renovation Loyalty Program Members Loyalty Program Members Transient guests 50% Weekend package Transient guests W/E package Groups and conventions Groups (no conventions) Airline contracts Time Nights: M Tu W Th Slide © 2007 by Christopher Lovelock and Jochen Wirtz Airline contracts F S Su M Tu W Services Marketing 6/E Th F S Su Chapter 9 - 29 Information Needed for Demand and Capacity Management Strategies  Historical data on demand level and composition, noting responses to marketing variables*  Demand forecasts by segment under specified conditions*  Segment-by-segment data*  Fixed and variable cost data, profitability of incremental sales*  Meaningful location-by-location demand variations  Customer attitudes toward queuing  Customer opinions of quality at different levels of capacity utilization Slide © 2007 by Christopher Lovelock and Jochen Wirtz Services Marketing 6/E Chapter 9 - 30