ONLINE SIMULATIONS
Operations Management Simulation
Operations Management Simulation: Benihana
Benihana
prepare
analyze
challenge 2
challenge 1
challenge 4
challenge 3
Challenge 2: Design the Bar
Summary
Scenario 2
design your best strategy
challenge 5
view detailed description
Scenario 3
New Scenario
Decisions
Based on the bestselling
Benihana of Tokyo case,
this new simulation covers
fundamentals in Service and
Operations Management.
ENTRANCE
Batching Customers
Bar Seats
7
Use Batching
87
14 tables
55 bar seats
No Batching
Runs
Results for Run 1
Summary
Generate 20 Runs
Run with Animation
Financial
Customers
Lost
Served
BAR
200
Run
Profit
Lost Cust.
Drinks
Dinners
Average
$354
42
155
283
Min
$354
42
155
283
Max
$354
42
155
283
Run 1
$354
42
155
283
RESTAURANT
150
100
50
0
6:00
Click any row to view the run detail.
6:30
7:00
7:30
8:00
Customers in Bar
Copy to Clipboard
8:30
9:00
9:30 10:00 10:30
Customers in Dining Room
© 2008 Harvard Business Publishing. All rights reserved.
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Simple setup and
administration
n
Ideal for courses in:
version 8 (pre-release)
Developed in partnership with Forio Business Simulations. For help, contact Harvard Business Publishing Customer Support.
In this online simulation, students play the role of a Benihana manager. Discrete
event modeling is used to simulate customer flow through the restaurant.
In individual challenges, students make decisions about:
n
Managing bar capacity, batching customers, and changing restaurant
table layout
• Service Management
n
Implementing marketing initiatives to drive demand
• Strategy
n
Increasing or decreasing length of dining experience
n
Designing the best strategic approach to maximize restaurant profitability
n
• Operations Management
Operations Management
Simulation: Benihana
A final capstone challenge requires students to design the best overall operations
management strategy for the restaurant.
Approximate seat time: 1.5 hours
Product number: 2653
A comprehensive Teaching Note covers:
Developed in partnership
with Forio Business Simulations.
Authored by:
n
How to analyze capacity, demand rates, cycle time, and throughput in a
service operation
n
How batching strategies improve throughput and the importance of increasing
capacity at bottlenecks
n
How to minimize or eliminate demand variabilities (cyclical, stochastic,
batch size, and service time)
n
How to optimize across multiple variables in an operation and ensure
consistency in the overall operations strategy
Ricardo Ernst
Professor, McDonough School of
Business, Georgetown University
Faculty authorized on our web site can request preview access to this simulation.
Contact customer service at 800-545-7685 (outside the U.S. and Canada
617-783-7600).
W. Earl Sasser
Professor, Harvard Business School
LEArN MOrE ON OUr wEB SITE:
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session
setup
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users
session setup
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intro
video
Session Setup
Open simulation to students
Session Info
Select Student Challenges
Session Name (visible to students):
Hitotsubashi ICS, Service Management, Term 3
Session Description (visible to students):
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Batch Dining Room Customers
2
Design the Bar
3
Change Timing of Dining Experience
4
Boost Demand with Advertising and Special Programs
5
Used Different Types of Batching at Different Times
6
Design Your Best Strategy
Design Your Best Strategy Options
Simulation Assumptions
Adjusting bar capacity changes number of tables
Adjusting bar capacity leaves tables constant
PROduct #2093
1
Limit students to
10 scenarios
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© 2008 Harvard Business Publishing. All rights reserved.
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Developed in partnership with Forio Business Simulations. For help, contact Harvard Business Publishing Customer Support.
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