Title: Gloucester Community Development Corporation
1Gloucester Community Development Corporation
2Challenges
- You cannot build a model without a good
understanding of the system you are going to
simulate - Jim Hines 2002
3Purpose of Todays Presentation
- Share some insights in using SD for client
projects - Ask you for a peer-group review, i.e. which part
of the following presentation could lead into a
publishable paper?
4The Team
- Our Client
- Dr. Carmine Gorga, Executive Director GCDC
- Dr. Steve Kelleher, Marine Institute
Massachusetts - Dr. Damon Cummings, a former Professor of
hydrodynamics - and control theory at MIT
- Joe Sinagra, Fishermen
- MIT
- Jeroen Struben, PhD Student MIT
- SangHyun Lee, M.S Student Intelligent Engineering
MIT - Peter Otto, PhD Student UAlbany
-
5Agenda
- Introduction to the Project
- A Step-by-step approach towards a model
- Decomposition of the system
- Reflection of current situation and Problem
Definition - Key Variables
- Scope and understanding
- Dynamic Hypotheses
- Overview on the different Sectors
- Model initiation building one Dynamic hypothesis
- Model Components
- Base model Behavior
6Gloucesters Business Goal
- To establish a commercialized fisheries operation
Gloucester Fish, Inc. that utilizes a novel
process that extracts fairly pure protein from
underutilized fish species to potentially
increase their value in an effort to revitalize
the present fishing industry in Gloucester.
7Surimi?
A substitute for crab meat.
8Surimi Market
- Total market 760,000 metric tons, growing at 10
20 per year - Japan represents 60 of the market
- Desired output for Gloucesters surimi factory is
10,000 metric tons
9Phase 1 Learning
- Fishing fleet
- Fishermen
- boats needed for Surimi
- Total boats
- Attractiveness of other fishing targets
- Total fishing capacity
- Willingness to join
- Earnings per Fisherman
- Area utilization
- Effectiveness
- Total catch
- Cost per trip
- Equipment extension cost
- Resources
- Water availability
- Water costs per unit
- Water pollution
- Perceived fish stocks
- Demand
- Potential market-size
- Product attractiveness
- Unit price
- Product characteristics
- Marketability
- Product quality (grade)
- Product diversity
- Unit costs
- Competition
- Barriers to entry
- Number of competing ports
- Total competing capacity
- Accessibility of cross waters
- Launch and operate
- Desired capacity
- Startup costs
- Total Capacity
- Extendibility
- Marketing efforts
- Total labor provision
- FDA approval time
- Total Sales
- Diversification
- Profitability
- Finance and Community,..
- Total value added
- Directional
- Private investor fraction
- Risk of disintegration
- Employee involvement
- Reinvestment fraction
- Government taxes
10Phase 2 Reflection
- Meeting with client to confirm problem statement
and initial reference modes
11Problem Statement Objective
- The decline of traditional fish species and the
curtailing of fishing efforts by the Government
require the fishing industry of Gloucester to
identify alternative resources to sustain their
industry - A Surimi factory harvesting fast renewable
fish stock should compensate for the missing
revenues from traditional white fish until their
stock returns to a sustainable level
12Problem recognition a response to a downward
spiral
- Dynamics of Total Potential for harvesting is
defined by the combined availability of and
capacity for dark and white fish
13Problem Statement
- Sustainability of Community depends on total
revenues, stability, spread of revenues
Community QoL
- H Enough renewable resources
- (both white and dark)
- Reinvestment in plant
- Rising stability reinforces happiness
- F1 Too much success
- Increasing revenues,
- Increasing competition,
- Stock depletion,
- Unequal/unfair profits
- F2 Lack of throughput
- No Market
- Delays in takeoff
- Competition from other communities or
- Fish stock takes longer to renew
1992 2002 2012
t
14Key Variables
Key Variables
15Phase 3 Agreement
- Presentation of dynamic hypothesis
- Definition for the scope of the project
16Dynamic Hypothesis
- Potential Factory output The potential factory
output should be determined by the availability
of fish stock. Pushing the system based on the
attractiveness will finally limit the factory
output.
Potential factory output
t
17Dynamic Hypothesis
- Revenues per boat If operating profit of the
factory is positive, it can reinvest in equipment
and processing capabilities to increase
attractiveness and effectiveness, which could
cause too much pressure on the fish stocks.
Revenues per boat
t
18Dynamic Hypothesis
- Revenues from fishing Revenues can go up and
remain high at sufficient re-investment in the
plant, in order to maintain diversity in input
and output. External partners might lead to high
volume low quality through put
19Dynamic Hypothesis
- Sustainability of Community Too much success of
the plant, can bring some revenues, while many
have to fish for the low-stock white fish
B2
B1
B1
R1
R2
20Phase 4 Conceptualizing the model
- First draft was presented to the client to
- Confirm the causal loop diagram
- Focus on sensitive variables and parameters
- Re-define scope of the model
21The Dynamic Hypotheses around the key variables
have been merged into three sectors
- Resource Sector
- Community Sector
- Operations Sector
- Variables and links in Dynamic hypotheses
themselves, generally cover more sectors!!
22Resource Sector
23Community Sector
24Operations Sector
25We have used the Potential Factory Output
hypothesis as a starting point for the model
- The model of the hypothesis is built up of three
main loops - Factory Capacity and Output
- Fleet Capacity
- Resource Dynamics
Other hypotheses will be constructed on top of
this
26Dynamic Hypothesis
- Potential Factory output The potential factory
output should be determined by the availability
of fish stock. Pushing the system based on the
attractiveness will finally limit the factory
output.
Potential factory output
t
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30Basic model Behavior
- Basic Demand
- Step demand increase towards 15000 Surimi in the
10th month - Resource Depletion
- Same case, with a lower fertility of pelagis
31Basic Demand Factory Capacity
32Basic Demand Pelagic Throughput
33Basic Demand Resource Dynamics
34Lower Resource Fertility Resource Depletion
Dynamics can be very sensitive to resource
parameters
35Learnings along the way
- Insights
- A clear problem statement can act itself as true
insight - QuoteOpportunities for inshore fishing?!
- Quote Looking ahead to understand potential
pitfalls has never been done before - Quote Visualizing the connections between the
variables helped us to better understand the
dynamics in the system
- Comments / Issues
- A clear, true problem statement is crucial. This
implies effective kick-off meeting(s) and being
in the driver-seat - Early involvement of true-stakeholders /
knowledge experts is crucial for a good (mental)
model - Using reference modes and causal loop diagrams
makes it much easier for the client to understand
the problems and dynamics
36Your Task
- Which part of this project would be of interest
for a broader SD community, i.e. do you think we
could hit a placement in the SD Review?