Sunset Grill Ivey Operations Club Mid-term Review
General Overview •
Role –
Bruce Mulhuish: Franchise owner - Sunset at Blue •
•
Key Issues –
–
–
–
•
Needs to get buy-in from partner for decision making
Long-wait time Slow Table Turnover Capacity Seasonality
Timing –
–
April 30, 2009 now 30 days to make a decision
General Overview •
Role –
Bruce Mulhuish: Franchise owner - Sunset at Blue •
•
Key Issues –
–
–
–
•
Needs to get buy-in from partner for decision making
Long-wait time Slow Table Turnover Capacity Seasonality
Timing –
–
April 30, 2009 now 30 days to make a decision
External Size Up •
Industry/Market –
Seasonality – summer occupancy rate rate vs winter •
•
•
Correlated with Blue Mountain’s success
–
Tourist destination – Recessions?
–
Geographic Geographic issues – inventory management
Other considerations –
Fresh ingredients vs. inventory management
–
Diverse menu items
Industry KSFs: Service, Service, Quality, Quality, Turnover Turnover
External Size-Up •
Competitive Analysis –
Barrier To Entry – Franchise License = $45,000
- Other Competitive entrants: McDonalds, Subway? •
Consumer Analysis –
–
Value – quick service, good quality food, and consistency Flexibility in orders
Internal Size-Up •
•
Business Operations –
Ops cycle – labor intensive
–
Type of flow – Batch with Line
HR - Right people – Min wage – align with strategy
•
Financials - $750,000 average annual sales - 5% of revenue – Royalty cost
Internal Size-Up •
KSFs – – – –
–
Location One shift per day reduced variability Brand and support from franchisor Low price means high volume and table turnover is important Fresh and healthy cooked to order •
–
–
Operationally more difficult (cannot prep as much)
Strong supplier network can negotiate better prices (higher margins) Inventory Management (fewer deliveries)
Internal Size-Up •
Concerns –
Only two Sunset grill franchises in tourist areaslow experience and skill in corp management
Quantitative
Step #1: Lay Out Process Map
Step #2: Layout All Processes (labour)
At this point, we know Dishwashers, cashiers, and hosts are not the bottleneck, so we will leave them alone going forward
Make Some Assumptions •
# chits/order –
–
We have assumed 3 1/3 You could have done a weighted average (# seats/# tables)
–
Could have assumed 3
–
This assumption is not the be all and end all…just
make sure to clearly state your assumption
Step #3: Determine Time Per Order Rough Work
Time per order
Servers
7 minutes
7 minutes
Bussers
3 minutes
3 minutes
Cooks
2 minutes/plate
6.66 minutes
Tables
60/74*# tables
More Assumptions •
Servers (7 minutes per order) –
1 minute taking order
–
1 minute putting order into the computer
–
3 minutes to get drinks and deliver them
–
1 minute to deliver food to the table
–
1 minute to process payment
More Assumptions •
Bussers (3 minutes per order) –
3 minutes to clear the table after the customers have left
More Assumptions •
Cooks (2 mins per chit/6.66 mins per order) –
There are many ways to do this
–
6 minutes for 2 plates (3 minutes per order)
–
50 chits in 26 minutes (about 2 minutes per chit)
–
5 minutes per order (hidden in the case)
More Assumptions •
Tables –
–
Throughput time is about 74 minutes right now Therefore, you turn less than the number of tables available per hour •
60/74 percent of tables turned a year
Step #4: Calculate Capacity •
•
We have chosen to calculate capacity as number of orders that can be processed per hour Then we can compare that to the demand schedule to see where the bottlenecks are
Summer (with Patio) Weekday
Servers Bussers Cooks Tables
Winter
Weekend
26 40 27 30
Weekday
51 40 36 30
Weekend
17 20 18 19
34 40 36 19
The calculation for servers, bussers, and cooks is (60/time per order)*(# labourers) i.e. (60/7 minutes)*3 servers = 26 orders during summer weekdays
For tables, it is (60/turnover time)*(# tables available) i.e. (60/74)*37 = 30 tables turned over every hour
This will then give us how many orders/tables of 3 1/3 people the different labourers can handle
Convert to Plates/Hour Summer (with Patio) Weekday
Weekend
Winter Weekday
Weekend
Servers
86
171
57
114
Bussers
133
133
67
133
Cooks
90
120
60
120
Tables
100
100
65
65
We
can compare these numbers to those on the demand schedule
Results •
Summer Weekends –
–
•
The tables are the bottleneck Cooks are somewhat a bottleneck; however, this is not as big of a concern.
Summer Weekdays –
There are no bottlenecks here; however, capacity utilization is very close to 100% for cooks and servers.
Results •
Winter Weekend –
•
Tables are the bottleneck
Winter Weekday –
There are no bottlenecks
What must we do? •
Summer Weekend –
Must increase table capacity •
•
–
This means increasing turnover rate (decreasing throughput time) Could also add tables
Should add more cooks to deal with capacity issues •
This will decrease throughput time (chits spend less time in the queue)
What must we do? •
Summer Weekdays –
–
This one is ok for now Servers are most likely to become a bottleneck with variability; however, the result will be a short line up outside not a major concern
What must we do? •
Winter Weekend –
Again, tables are the bottleneck, so we must find a way to flip the tables quicker
Creating Criteria For Analysis •
What criteria would you suggest? –
–
Fix bottlenecks •
Tables
•
Cooks
•
Servers
Decrease wait time •
74 minutes of wait time is long for breakfast
–
Increase ability to react to variability
–
Rank the criteria by importance
Option 1: Add Runners •
•
Decrease time spent by servers by 1 minute/order Decrease throughput time by about 4 minutes (assume food sits for 1 minute before being taken to a table) –
•
Consistent with analysis that table turns will increase by 5%-10%
Only necessary to hire during times when tables and/or servers are the bottlenecks
Option 1: Runners •
Have to do cost/benefit analysis –
–
$10/hr ($80) Can serve 6 more people per hour during peak hours (3 peak hours) •
18 orders at about $10/order (70% margin) = $126 Summer (with Patio) Weekday Weekend
Servers Bussers Cooks Tables
200 133 120 106
Winter Weekday Weekend
133 133 120 69
Option 2: Menu Boards •
Decreases order time (lowers throughput time and increases table turnover) and push higher margin items –
–
$180/month Increase revs by 5% •
$62,480 average monthly sales @ 70% margin –
•
~$2200 per month
Is it reasonable to assume that Sunset Grill can increase revenues by 5% using this method??? (qualitative assessment)
Option 3: Substitution •
Pros –
•
Improves customer service
Cons –
–
Slows down the kitchen, which is already a bottleneck at many times Takes 1 additional minute per substitution •
Even if 20% of people substitute 1 item, that would increase a cook’s average time per chit to 2.2 minutes from 2 minutes
–
Increases variability in cook time and most likely order time
Option 4: Winter Capacity •
Benches –
Increases table capacity inside by 9 seats, which would reduce the table bottleneck
–
Allows better support for larger parties
–
Can be done in conjunction with other options
–
$1400*5 = 7000 for 5 benches
Option 4: Winter Capacity •
Heaters –
Provide warmth for up to 10 seats
–
$700 investment cost + $120/month •
10 seats is 3 orders worth
•
3 hours/weekend day over capacity of 65 plates/hour
•
3 hours*10 plates/hour*8 weekends/month *$10/plate*70% margin –
–
$1680/month
Definitely worthwhile
Option 5: Reduce Menu Items •
Mostly qualitative assessment
•
Pros –
–
•
Decrease throughput time by 3 minutes on average (increasing table turnover) Sell higher margin items
Cons –
Reduced offering
–
Could lose customers
Other Options/Alternatives •
Come up with some of your own alternatives –
Combo of other 5
–
Maintain status quo
–
Push alcohol sales
–
Implement buzzer system for the line
–
Hire more cooks/servers during bottleneck times
Evaluate Options Using Criteria •
Evaluate all the options with respect to the criteria –
Use the quantitative table if you feel comfortable with it
Recommendation •
•
•
Explicitly state your recommendation at the beginning Provide qualitative and quantitative reasoning for your decision Use your size-up to provide backup for the recommendation
Action Plan •
Briefly explain how you are going to roll out your recommendations –
Timing
–
Who will be involved
Risks/Contingencies •
Outline the risks of implementing the recommendation